Fix voice sample validation on Python 3.13 (fixes #852) (#853)

* Fix voice sample validation on Python 3.13

Python 3.13 removed audioop from the standard library, which broke reference
audio validation when adding voice samples. Add the audioop-lts backport for
3.13+ installs and bundle audioop in PyInstaller builds on the same versions.

* style(tests): satisfy Ruff import ordering

---------

Co-authored-by: Jamie Pine <[email protected]>

.dockerignore

@@ -8,7 +8,8 @@ tauri/
 landing/
 docs/
 mlx-test/
-scripts/
+scripts/*
+!scripts/rocm-entrypoint.sh
 
 # Dependencies & build artifacts (rebuilt in Docker)
 node_modules/

.github/workflows/release.yml

@@ -340,3 +340,64 @@ jobs:
           name: voicebox-server-cuda-windows
           path: backend/dist/voicebox-server-cuda/
           retention-days: 7
+
+  build-rocm-windows:
+    runs-on: windows-latest
+    permissions:
+      contents: write
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          # ROCm wheels are cp312-cp312-specific — build_binary.py --rocm enforces this.
+          python-version: "3.12"
+          cache: "pip"
+
+      - name: Install Python dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install pyinstaller
+          pip install -r backend/requirements.txt
+          pip install --no-deps chatterbox-tts
+          pip install --no-deps hume-tada
+
+      - name: Build ROCm server binary (onedir)
+        shell: bash
+        working-directory: backend
+        # build_binary.py --rocm pulls the official AMD Radeon torch + rocm_sdk
+        # wheels (rocm-rel-7.2.1) itself when ROCm torch is not already present,
+        # then restores the dev torch afterwards.
+        run: python build_binary.py --rocm
+
+      - name: Package into server core + ROCm libs archives
+        shell: bash
+        run: |
+          python scripts/package_rocm.py \
+            backend/dist/voicebox-server-rocm/ \
+            --output release-assets/ \
+            --rocm-libs-version rocm7.2-v1 \
+            --torch-compat ">=2.9.0,<2.10.0"
+
+      - name: Upload archives to GitHub Release
+        if: startsWith(github.ref, 'refs/tags/')
+        uses: softprops/action-gh-release@v2
+        with:
+          files: |
+            release-assets/voicebox-server-rocm.tar.gz
+            release-assets/voicebox-server-rocm.tar.gz.sha256
+            release-assets/rocm-libs-rocm7.2-v1.tar.gz
+            release-assets/rocm-libs-rocm7.2-v1.tar.gz.sha256
+            release-assets/rocm-libs.json
+          draft: true
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Upload onedir as workflow artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: voicebox-server-rocm-windows
+          path: backend/dist/voicebox-server-rocm/
+          retention-days: 7

CHANGELOG.md

@@ -5,6 +5,17 @@
 
 # Changelog
 
+## [Unreleased]
+
+### Linux
+
+- **ROCm setup works on Linux AMD systems.** Docker ROCm builds now keep PyTorch
+  on the ROCm wheel index during dependency installation, so later installs do
+  not replace it with CUDA wheels. The ROCm compose overlay no longer assumes
+  Ubuntu render/video group IDs; the container joins the groups that own the GPU
+  device nodes at startup. Native Linux setup now picks ROCm wheels for AMD GPUs
+  and CUDA wheels for NVIDIA GPUs before installing backend dependencies.
+
 ## [0.5.0] - 2026-04-22
 
 **The Capture release.** Voicebox stops being just a voice-cloning studio and becomes a full AI voice studio. Hold a key anywhere on your machine, speak, release — the transcript lands in the focused text field. Flip the primitive around and any MCP-aware agent — Claude Code, Cursor, Spacebot — speaks back through an on-screen pill in one of your cloned voices. A local LLM sits between the two, so transcripts come out clean and voice profiles can carry a personality that reshapes what the agent says before it gets spoken.

CONTRIBUTING.md

@@ -91,7 +91,7 @@ On Windows, to build with CUDA support for local testing:
 just build-local  # Build CPU + CUDA server binaries + Tauri installer
 ```
 
-This builds the CPU sidecar (bundled with the app), the CUDA binary (placed in `%APPDATA%/com.voicebox.app/backends/` for runtime GPU switching), and the installable Tauri app.
+This builds the CPU sidecar (bundled with the app), the CUDA binary (placed in `%APPDATA%/sh.voicebox.app/backends/` for runtime GPU switching), and the installable Tauri app.
 
 Creates platform-specific installers (`.dmg`, `.msi`, `.AppImage`) in `tauri/src-tauri/target/release/bundle/`.
 
@@ -133,7 +133,7 @@ bun run convert:assets
 This script:
 - Converts PNG → WebP (better compression, same quality)
 - Converts MOV → WebM (VP9 codec, smaller file size)
-- Processes files in `landing/public/` and `docs/public/`
+- Processes files in `docs/public/`
 - **Deletes original files** after successful conversion
 
 **Requirements:** Install `webp` and `ffmpeg`:

Dockerfile

@@ -1,8 +1,15 @@
 # ============================================================
-# Voicebox — Local TTS Server with Web UI (CPU)
+# Voicebox — Local TTS Server with Web UI
 # 3-stage build: Frontend → Python deps → Runtime
+#
+# Build variants:
+#   CPU (default):  docker compose up --build
+#   ROCm (AMD GPU): docker compose -f docker-compose.yml -f docker-compose.rocm.yml up --build
 # ============================================================
 
+# Top-level ARG so it is visible to all stages.
+ARG PYTORCH_VARIANT=cpu
+
 # === Stage 1: Build frontend ===
 FROM oven/bun:1 AS frontend
 
@@ -14,7 +21,7 @@ COPY app/ ./app/
 COPY web/ ./web/
 
 # Strip workspaces not needed for web build, and fix trailing comma
-RUN sed -i '/"tauri"/d; /"landing"/d' package.json && \
+RUN sed -i '/"tauri"/d' package.json && \
     sed -i -z 's/,\n  ]/\n  ]/' package.json
 RUN bun install --no-save
 # Build frontend (skip tsc — upstream has pre-existing type errors)
@@ -24,6 +31,9 @@ RUN cd web && bunx --bun vite build
 # === Stage 2: Build Python dependencies ===
 FROM python:3.11-slim AS backend-builder
 
+# Re-declare ARG inside the stage (Docker scoping requirement).
+ARG PYTORCH_VARIANT=cpu
+
 WORKDIR /build
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
@@ -34,6 +44,19 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --no-cache-dir --upgrade pip
 
 COPY backend/requirements.txt .
+
+# ROCm wheel index. Default 6.3 (RDNA1/2/3); set ROCM_VERSION=7.2 for RDNA4.
+ARG ROCM_VERSION=6.3
+
+# For ROCm, make the PyTorch ROCm index primary so every install below resolves
+# torch to ROCm wheels instead of the default CUDA build.
+RUN if [ "$PYTORCH_VARIANT" = "rocm" ]; then \
+      pip install --no-cache-dir --prefix=/install \
+        --index-url "https://download.pytorch.org/whl/rocm${ROCM_VERSION}" \
+        torch torchaudio && \
+      printf '[global]\nindex-url = https://download.pytorch.org/whl/rocm%s\nextra-index-url = https://pypi.org/simple\n' "$ROCM_VERSION" > /etc/pip.conf; \
+    fi
+
 RUN pip install --no-cache-dir --prefix=/install -r requirements.txt
 RUN pip install --no-cache-dir --prefix=/install --no-deps chatterbox-tts
 RUN pip install --no-cache-dir --prefix=/install --no-deps hume-tada
@@ -44,16 +67,17 @@ RUN pip install --no-cache-dir --prefix=/install \
 # === Stage 3: Runtime ===
 FROM python:3.11-slim
 
-# Create non-root user for security
+# Create non-root user; the entrypoint joins GPU device groups at runtime.
 RUN groupadd -r voicebox && \
     useradd -r -g voicebox -m -s /bin/bash voicebox
 
 WORKDIR /app
 
-# Install only runtime system dependencies
+# Install only runtime system dependencies (gosu drops root in the entrypoint)
 RUN apt-get update && apt-get install -y --no-install-recommends \
     ffmpeg \
     curl \
+    gosu \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy installed Python packages from builder stage
@@ -69,9 +93,6 @@ COPY --from=frontend --chown=voicebox:voicebox /build/web/dist /app/frontend/
 RUN mkdir -p /app/data/generations /app/data/profiles /app/data/cache \
     && chown -R voicebox:voicebox /app/data
 
-# Switch to non-root user
-USER voicebox
-
 # Expose the API port
 EXPOSE 17493
 
@@ -79,5 +100,7 @@ EXPOSE 17493
 HEALTHCHECK --interval=30s --timeout=10s --retries=3 --start-period=60s \
     CMD curl -f http://localhost:17493/health || exit 1
 
-# Start the FastAPI server
+# Entrypoint joins GPU groups then drops to the voicebox user
+COPY --chmod=755 scripts/rocm-entrypoint.sh /usr/local/bin/entrypoint.sh
+ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
 CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "17493"]

README.md

@@ -45,7 +45,7 @@
 
 <p align="center">
   <a href="https://voicebox.sh">
-    <img src="landing/public/assets/app-screenshot-1.webp" alt="Voicebox App Screenshot" width="800" />
+    <img src="docs/public/images/readme/app-screenshot-1.webp" alt="Voicebox App Screenshot" width="800" />
   </a>
 </p>
 
@@ -56,11 +56,11 @@
 <br/>
 
 <p align="center">
-  <img src="landing/public/assets/app-screenshot-2.webp" alt="Voicebox Screenshot 2" width="800" />
+  <img src="docs/public/images/readme/app-screenshot-2.webp" alt="Voicebox Screenshot 2" width="800" />
 </p>
 
 <p align="center">
-  <img src="landing/public/assets/app-screenshot-3.webp" alt="Voicebox Screenshot 3" width="800" />
+  <img src="docs/public/images/readme/app-screenshot-3.webp" alt="Voicebox Screenshot 3" width="800" />
 </p>
 
 <br/>
@@ -270,7 +270,8 @@ Use cases: agent dev loops (dictate a question, hear the answer in a cloned voic
 | Platform                 | Backend        | Notes                                          |
 | ------------------------ | -------------- | ---------------------------------------------- |
 | macOS (Apple Silicon)    | MLX (Metal)    | 4-5x faster via Neural Engine                  |
-| Windows / Linux (NVIDIA) | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
+| Windows (NVIDIA)         | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
+| Linux (NVIDIA)           | PyTorch (CUDA) | Use a local/remote Python backend with CUDA PyTorch |
 | Linux (AMD)              | PyTorch (ROCm) | Auto-configures HSA_OVERRIDE_GFX_VERSION       |
 | Windows (any GPU)        | DirectML       | Universal Windows GPU support                  |
 | Intel Arc                | IPEX/XPU       | Intel discrete GPU acceleration                |
@@ -441,7 +442,6 @@ voicebox/
 ├── tauri/            # Desktop app (Tauri + Rust)
 ├── web/              # Web deployment
 ├── backend/          # Python FastAPI server
-├── landing/          # Marketing website
 └── scripts/          # Build & release scripts
 ```
 

app/src/components/DictateWindow/DictateWindow.tsx

@@ -35,19 +35,17 @@ export function DictateWindow() {
     };
   }, []);
 
-  // Snapshot of the focused UI element at chord-start, shipped over from
-  // Rust on the ``dictate:start`` payload. Held in a ref so it survives
-  // the 1–2 s transcribe + refine window — the paste only fires once the
-  // final text comes back.
-  const focusRef = useRef<FocusSnapshot | null>(null);
+  // Mirrored from the main window: true only when dictation is armed and the
+  // user opted into keeping the microphone ready.
+  const [micWarm, setMicWarm] = useState(false);
 
   const session = useCaptureRecordingSession({
-    onFinalText: async (text, _capture, allowAutoPaste) => {
-      const focus = focusRef.current;
-      // Consume-once: a second chord before this fires would overwrite
-      // focusRef, but nulling it here guards against the late-arriving
-      // refine-result firing a paste after the user has moved on.
-      focusRef.current = null;
+    keepMicWarm: micWarm,
+    onFinalText: async (text, _capture, allowAutoPaste, context) => {
+      // Focus is the snapshot taken at chord-start and threaded through as this
+      // take's context, so it survives the 1–2 s transcribe + refine window and
+      // overlapping dictations can't paste into each other's target.
+      const focus = context as FocusSnapshot | null;
       if (!allowAutoPaste) return;
       if (!focus || !text.trim()) return;
       try {
@@ -72,23 +70,41 @@ export function DictateWindow() {
   sessionRef.current = session;
 
   useEffect(() => {
-    const unlistens: Promise<UnlistenFn>[] = [];
-    unlistens.push(
+    let disposed = false;
+    const unlistens: UnlistenFn[] = [];
+    const registrations = [
       listen<{ focus: FocusSnapshot | null }>('dictate:start', (event) => {
-        focusRef.current = event.payload?.focus ?? null;
-        sessionRef.current.startRecording();
+        sessionRef.current.startRecording(event.payload?.focus ?? null);
       }),
-    );
-    unlistens.push(
       listen('dictate:stop', () => {
-        if (sessionRef.current.isRecording) sessionRef.current.stopRecording();
+        // Forward stops that arrive while getUserMedia is still resolving.
+        sessionRef.current.stopRecording();
       }),
-    );
+      listen<boolean>('dictate:warm', (event) => {
+        setMicWarm(Boolean(event.payload));
+      }),
+    ];
+    Promise.all(registrations)
+      .then((registered) => {
+        if (disposed) {
+          for (const unlisten of registered) unlisten();
+          return;
+        }
+        unlistens.push(...registered);
+        emit('dictate:warm-request').catch(() => {});
+      })
+      .catch((err) => console.warn('[dictate] event listener registration failed:', err));
     return () => {
-      for (const p of unlistens) p.then((fn) => fn()).catch(() => {});
+      disposed = true;
+      for (const unlisten of unlistens) unlisten();
     };
   }, []);
 
+  useEffect(() => {
+    if (micWarm) void session.prewarm();
+    else session.releaseWarm();
+  }, [micWarm, session.prewarm, session.releaseWarm]);
+
   // --- Agent-speak cycle ---------------------------------------------------
 
   const [speaking, setSpeaking] = useState<{

app/src/components/ServerSettings/GpuAcceleration.tsx

@@ -5,7 +5,7 @@ import { Button } from '@/components/ui/button';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import { Progress } from '@/components/ui/progress';
 import { apiClient } from '@/lib/api/client';
-import type { CudaDownloadProgress } from '@/lib/api/types';
+import type { CudaDownloadProgress, RocmDownloadProgress } from '@/lib/api/types';
 import { useServerHealth } from '@/lib/hooks/useServer';
 import { usePlatform } from '@/platform/PlatformContext';
 import { useServerStore } from '@/stores/serverStore';
@@ -21,6 +21,9 @@ export function GpuAcceleration() {
   const [restartPhase, setRestartPhase] = useState<RestartPhase>('idle');
   const [error, setError] = useState<string | null>(null);
   const [downloadProgress, setDownloadProgress] = useState<CudaDownloadProgress | null>(null);
+  const [rocmDownloadProgress, setRocmDownloadProgress] = useState<RocmDownloadProgress | null>(
+    null,
+  );
   const healthPollRef = useRef<ReturnType<typeof setInterval> | null>(null);
 
   // Query CUDA backend status
@@ -36,10 +39,26 @@ export function GpuAcceleration() {
     enabled: !!health, // Only fetch when backend is reachable
   });
 
+  // Query ROCm backend status
+  const {
+    data: rocmStatus,
+    isLoading: _rocmStatusLoading,
+    refetch: refetchRocmStatus,
+  } = useQuery({
+    queryKey: ['rocm-status', serverUrl],
+    queryFn: () => apiClient.getRocmStatus(),
+    refetchInterval: (query) => (query.state.status === 'pending' ? false : 10000),
+    retry: 1,
+    enabled: !!health, // Only fetch when backend is reachable
+  });
+
   // Derived state
   const isCurrentlyCuda = health?.backend_variant === 'cuda';
+  const isCurrentlyRocm = health?.backend_variant === 'rocm';
   const cudaAvailable = cudaStatus?.available ?? false;
   const cudaDownloading = cudaStatus?.downloading ?? false;
+  const rocmAvailable = rocmStatus?.available ?? false;
+  const rocmDownloading = rocmStatus?.downloading ?? false;
 
   // Clean up health poll on unmount
   useEffect(() => {
@@ -51,7 +70,7 @@ export function GpuAcceleration() {
     };
   }, []);
 
-  // SSE progress tracking during download
+  // SSE progress tracking during CUDA download
   useEffect(() => {
     if (!cudaDownloading || !serverUrl) {
       return;
@@ -88,6 +107,43 @@ export function GpuAcceleration() {
     };
   }, [cudaDownloading, serverUrl, refetchCudaStatus]);
 
+  // SSE progress tracking during ROCm download
+  useEffect(() => {
+    if (!rocmDownloading || !serverUrl) {
+      return;
+    }
+
+    const eventSource = new EventSource(`${serverUrl}/backend/rocm-progress`);
+
+    eventSource.onmessage = (event) => {
+      try {
+        const data = JSON.parse(event.data) as RocmDownloadProgress;
+        setRocmDownloadProgress(data);
+
+        if (data.status === 'complete') {
+          eventSource.close();
+          setRocmDownloadProgress(null);
+          refetchRocmStatus();
+        } else if (data.status === 'error') {
+          eventSource.close();
+          setError(data.error || 'Download failed');
+          setRocmDownloadProgress(null);
+          refetchRocmStatus();
+        }
+      } catch (e) {
+        console.error('Error parsing ROCm progress event:', e);
+      }
+    };
+
+    eventSource.onerror = () => {
+      eventSource.close();
+    };
+
+    return () => {
+      eventSource.close();
+    };
+  }, [rocmDownloading, serverUrl, refetchRocmStatus]);
+
   // Start aggressive health polling during restart
   const startHealthPolling = useCallback(() => {
     if (healthPollRef.current) return;
@@ -113,7 +169,7 @@ export function GpuAcceleration() {
     }, 1000);
   }, [queryClient]);
 
-  const handleDownload = async () => {
+  const handleDownloadCuda = async () => {
     setError(null);
     try {
       await apiClient.downloadCudaBackend();
@@ -128,6 +184,21 @@ export function GpuAcceleration() {
     }
   };
 
+  const handleDownloadRocm = async () => {
+    setError(null);
+    try {
+      await apiClient.downloadRocmBackend();
+      refetchRocmStatus();
+    } catch (e: unknown) {
+      const msg = e instanceof Error ? e.message : 'Failed to start download';
+      if (msg.includes('already downloaded')) {
+        refetchRocmStatus();
+      } else {
+        setError(msg);
+      }
+    }
+  };
+
   const handleRestart = async () => {
     setError(null);
     setRestartPhase('stopping');
@@ -154,18 +225,17 @@ export function GpuAcceleration() {
     }
   };
 
-  const handleSwitchToCpu = async () => {
-    // To switch to CPU: delete the CUDA binary, then restart.
-    // start_server always prefers CUDA if present, so we must remove it first.
+  const handleSwitchToCpuFromCuda = async () => {
     setError(null);
     setRestartPhase('stopping');
 
     try {
-      await apiClient.deleteCudaBackend();
+      // Tell Rust launcher to skip GPU binary detection on next start.
+      // We cannot delete an active .exe on Windows, so we override instead.
+      await platform.lifecycle.setBackendOverride('cpu');
       setRestartPhase('waiting');
       startHealthPolling();
       await platform.lifecycle.restartServer();
-      // Invoke resolved — server is likely ready
       if (healthPollRef.current) {
         clearInterval(healthPollRef.current);
         healthPollRef.current = null;
@@ -184,7 +254,36 @@ export function GpuAcceleration() {
     }
   };
 
-  const handleDelete = async () => {
+  const handleSwitchToCpuFromRocm = async () => {
+    setError(null);
+    setRestartPhase('stopping');
+
+    try {
+      // Tell Rust launcher to skip GPU binary detection on next start.
+      // We cannot delete an active .exe on Windows, so we override instead.
+      await platform.lifecycle.setBackendOverride('cpu');
+      setRestartPhase('waiting');
+      startHealthPolling();
+      await platform.lifecycle.restartServer();
+      if (healthPollRef.current) {
+        clearInterval(healthPollRef.current);
+        healthPollRef.current = null;
+      }
+      setRestartPhase('ready');
+      queryClient.invalidateQueries();
+      setTimeout(() => setRestartPhase('idle'), 2000);
+    } catch (e: unknown) {
+      setRestartPhase('idle');
+      if (healthPollRef.current) {
+        clearInterval(healthPollRef.current);
+        healthPollRef.current = null;
+      }
+      setError(e instanceof Error ? e.message : 'Failed to switch to CPU');
+      refetchRocmStatus();
+    }
+  };
+
+  const handleDeleteCuda = async () => {
     setError(null);
     try {
       await apiClient.deleteCudaBackend();
@@ -194,6 +293,16 @@ export function GpuAcceleration() {
     }
   };
 
+  const handleDeleteRocm = async () => {
+    setError(null);
+    try {
+      await apiClient.deleteRocmBackend();
+      refetchRocmStatus();
+    } catch (e: unknown) {
+      setError(e instanceof Error ? e.message : 'Failed to delete ROCm backend');
+    }
+  };
+
   const formatBytes = (bytes: number): string => {
     if (bytes === 0) return '0 B';
     const k = 1024;
@@ -205,7 +314,7 @@ export function GpuAcceleration() {
   // Don't render until health data is available
   if (!health) return null;
 
-  // If the system already has native GPU (MPS, etc.), only show info - no CUDA needed
+  // If the system already has native GPU (MPS, ROCm active, etc.), only show info - no download needed
   const hasNativeGpu =
     health.gpu_available &&
     !isCurrentlyCuda &&
@@ -241,8 +350,6 @@ export function GpuAcceleration() {
           )}
         </div>
 
-        {/* Native GPU detected - no CUDA download needed */}
-
         {/* Currently running CUDA - show switch back to CPU */}
         {isCurrentlyCuda && platform.metadata.isTauri && (
           <>
@@ -261,7 +368,12 @@ export function GpuAcceleration() {
                   Running with CUDA GPU acceleration. Switch back to CPU if needed (you can
                   re-download later).
                 </p>
-                <Button onClick={handleSwitchToCpu} variant="outline" className="w-full" size="sm">
+                <Button
+                  onClick={handleSwitchToCpuFromCuda}
+                  variant="outline"
+                  className="w-full"
+                  size="sm"
+                >
                   <RotateCw className="h-4 w-4 mr-2" />
                   Switch to CPU Backend
                 </Button>
@@ -276,39 +388,207 @@ export function GpuAcceleration() {
           </>
         )}
 
-        {/* CUDA download/manage section - show when no native GPU and not currently running CUDA */}
-        {!hasNativeGpu && !isCurrentlyCuda && (
+        {/* Currently running ROCm - show switch back to CPU */}
+        {isCurrentlyRocm && platform.metadata.isTauri && (
           <>
-            {/* Download progress (manual download or auto-update) */}
-            {cudaDownloading && downloadProgress && (
-              <div className="space-y-2">
-                <div className="flex items-center justify-between text-sm">
-                  <div className="flex items-center gap-2">
-                    <Loader2 className="h-4 w-4 animate-spin" />
-                    <span>
-                      {downloadProgress.filename ||
-                        (cudaAvailable
-                          ? 'Updating CUDA backend...'
-                          : 'Downloading CUDA backend...')}
-                    </span>
-                  </div>
-                  {downloadProgress.total > 0 && (
-                    <span className="text-muted-foreground">
-                      {downloadProgress.progress.toFixed(1)}%
-                    </span>
-                  )}
-                </div>
-                {downloadProgress.total > 0 && (
-                  <>
-                    <Progress value={downloadProgress.progress} className="h-2" />
-                    <div className="text-xs text-muted-foreground">
-                      {formatBytes(downloadProgress.current)} /{' '}
-                      {formatBytes(downloadProgress.total)}
-                    </div>
-                  </>
-                )}
+            {restartPhase !== 'idle' ? (
+              <div className="flex items-center gap-2 p-3 rounded-lg bg-primary/5 border">
+                <Loader2 className="h-4 w-4 animate-spin" />
+                <span className="text-sm">
+                  {restartPhase === 'stopping' && 'Stopping server...'}
+                  {restartPhase === 'waiting' && 'Restarting server...'}
+                  {restartPhase === 'ready' && 'Server restarted successfully!'}
+                </span>
+              </div>
+            ) : (
+              <div className="space-y-3">
+                <p className="text-sm text-muted-foreground">
+                  Running with ROCm GPU acceleration for AMD. Switch back to CPU if needed (you can
+                  re-download later).
+                </p>
+                <Button
+                  onClick={handleSwitchToCpuFromRocm}
+                  variant="outline"
+                  className="w-full"
+                  size="sm"
+                >
+                  <RotateCw className="h-4 w-4 mr-2" />
+                  Switch to CPU Backend
+                </Button>
               </div>
             )}
+            {error && (
+              <div className="flex items-center gap-2 text-sm text-destructive">
+                <AlertCircle className="h-4 w-4 shrink-0" />
+                <span>{error}</span>
+              </div>
+            )}
+          </>
+        )}
+
+        {/* Backend download/manage sections - show when no native GPU and not currently running GPU */}
+        {!hasNativeGpu && !isCurrentlyCuda && !isCurrentlyRocm && (
+          <>
+            {/* CUDA Section */}
+            <div className="space-y-4">
+              <div className="text-sm font-medium">NVIDIA (CUDA)</div>
+
+              {/* CUDA Download progress */}
+              {cudaDownloading && downloadProgress && (
+                <div className="space-y-2">
+                  <div className="flex items-center justify-between text-sm">
+                    <div className="flex items-center gap-2">
+                      <Loader2 className="h-4 w-4 animate-spin" />
+                      <span>
+                        {downloadProgress.filename ||
+                          (cudaAvailable
+                            ? 'Updating CUDA backend...'
+                            : 'Downloading CUDA backend...')}
+                      </span>
+                    </div>
+                    {downloadProgress.total > 0 && (
+                      <span className="text-muted-foreground">
+                        {downloadProgress.progress.toFixed(1)}%
+                      </span>
+                    )}
+                  </div>
+                  {downloadProgress.total > 0 && (
+                    <>
+                      <Progress value={downloadProgress.progress} className="h-2" />
+                      <div className="text-xs text-muted-foreground">
+                        {formatBytes(downloadProgress.current)} /{' '}
+                        {formatBytes(downloadProgress.total)}
+                      </div>
+                    </>
+                  )}
+                </div>
+              )}
+
+              {/* CUDA Actions */}
+              {restartPhase === 'idle' && !cudaDownloading && (
+                <div className="space-y-2">
+                  {!cudaAvailable && (
+                    <div className="space-y-3">
+                      <p className="text-sm text-muted-foreground">
+                        Download the CUDA backend (~2.4 GB) for NVIDIA GPU acceleration. Requires an
+                        NVIDIA GPU with CUDA support.
+                      </p>
+                      <Button onClick={handleDownloadCuda} className="w-full" size="sm">
+                        <Download className="h-4 w-4 mr-2" />
+                        Download CUDA Backend
+                      </Button>
+                    </div>
+                  )}
+
+                  {cudaAvailable && platform.metadata.isTauri && (
+                    <div className="space-y-3">
+                      <p className="text-sm text-muted-foreground">
+                        CUDA backend is downloaded and ready. Restart the server to enable GPU
+                        acceleration.
+                      </p>
+                      <Button onClick={handleRestart} className="w-full" size="sm">
+                        <RotateCw className="h-4 w-4 mr-2" />
+                        Switch to CUDA Backend
+                      </Button>
+                    </div>
+                  )}
+
+                  {cudaAvailable && (
+                    <Button
+                      onClick={handleDeleteCuda}
+                      variant="ghost"
+                      className="w-full text-muted-foreground hover:text-destructive"
+                      size="sm"
+                    >
+                      <Trash2 className="h-4 w-4 mr-2" />
+                      Remove CUDA Backend
+                    </Button>
+                  )}
+                </div>
+              )}
+            </div>
+
+            {/* Divider */}
+            <div className="border-t" />
+
+            {/* ROCm Section */}
+            <div className="space-y-4">
+              <div className="text-sm font-medium">AMD (ROCm)</div>
+
+              {/* ROCm Download progress */}
+              {rocmDownloading && rocmDownloadProgress && (
+                <div className="space-y-2">
+                  <div className="flex items-center justify-between text-sm">
+                    <div className="flex items-center gap-2">
+                      <Loader2 className="h-4 w-4 animate-spin" />
+                      <span>
+                        {rocmDownloadProgress.filename ||
+                          (rocmAvailable
+                            ? 'Updating ROCm backend...'
+                            : 'Downloading ROCm backend...')}
+                      </span>
+                    </div>
+                    {rocmDownloadProgress.total > 0 && (
+                      <span className="text-muted-foreground">
+                        {rocmDownloadProgress.progress.toFixed(1)}%
+                      </span>
+                    )}
+                  </div>
+                  {rocmDownloadProgress.total > 0 && (
+                    <>
+                      <Progress value={rocmDownloadProgress.progress} className="h-2" />
+                      <div className="text-xs text-muted-foreground">
+                        {formatBytes(rocmDownloadProgress.current)} /{' '}
+                        {formatBytes(rocmDownloadProgress.total)}
+                      </div>
+                    </>
+                  )}
+                </div>
+              )}
+
+              {/* ROCm Actions */}
+              {restartPhase === 'idle' && !rocmDownloading && (
+                <div className="space-y-2">
+                  {!rocmAvailable && (
+                    <div className="space-y-3">
+                      <p className="text-sm text-muted-foreground">
+                        Download the ROCm backend (~2-3 GB) for AMD GPU acceleration. Requires an
+                        AMD Radeon GPU with ROCm support.
+                      </p>
+                      <Button onClick={handleDownloadRocm} className="w-full" size="sm">
+                        <Download className="h-4 w-4 mr-2" />
+                        Download AMD ROCm Backend
+                      </Button>
+                    </div>
+                  )}
+
+                  {rocmAvailable && platform.metadata.isTauri && (
+                    <div className="space-y-3">
+                      <p className="text-sm text-muted-foreground">
+                        ROCm backend is downloaded and ready. Restart the server to enable AMD GPU
+                        acceleration.
+                      </p>
+                      <Button onClick={handleRestart} className="w-full" size="sm">
+                        <RotateCw className="h-4 w-4 mr-2" />
+                        Switch to ROCm Backend
+                      </Button>
+                    </div>
+                  )}
+
+                  {rocmAvailable && (
+                    <Button
+                      onClick={handleDeleteRocm}
+                      variant="ghost"
+                      className="w-full text-muted-foreground hover:text-destructive"
+                      size="sm"
+                    >
+                      <Trash2 className="h-4 w-4 mr-2" />
+                      Remove ROCm Backend
+                    </Button>
+                  )}
+                </div>
+              )}
+            </div>
 
             {/* Restart in progress */}
             {restartPhase !== 'idle' && (
@@ -329,52 +609,6 @@ export function GpuAcceleration() {
                 <span>{error}</span>
               </div>
             )}
-
-            {/* Actions */}
-            {restartPhase === 'idle' && !cudaDownloading && (
-              <div className="space-y-2">
-                {/* Not downloaded yet - show download button */}
-                {!cudaAvailable && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      Download the CUDA backend (~2.4 GB) for NVIDIA GPU acceleration. Requires an
-                      NVIDIA GPU with CUDA support.
-                    </p>
-                    <Button onClick={handleDownload} className="w-full" size="sm">
-                      <Download className="h-4 w-4 mr-2" />
-                      Download CUDA Backend
-                    </Button>
-                  </div>
-                )}
-
-                {/* Downloaded but not active - show switch button */}
-                {cudaAvailable && platform.metadata.isTauri && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      CUDA backend is downloaded and ready. Restart the server to enable GPU
-                      acceleration.
-                    </p>
-                    <Button onClick={handleRestart} className="w-full" size="sm">
-                      <RotateCw className="h-4 w-4 mr-2" />
-                      Switch to CUDA Backend
-                    </Button>
-                  </div>
-                )}
-
-                {/* Delete option when downloaded (and not active) */}
-                {cudaAvailable && (
-                  <Button
-                    onClick={handleDelete}
-                    variant="ghost"
-                    className="w-full text-muted-foreground "
-                    size="sm"
-                  >
-                    <Trash2 className="h-4 w-4 mr-2" />
-                    Remove CUDA Backend
-                  </Button>
-                )}
-              </div>
-            )}
           </>
         )}
       </CardContent>

app/src/components/ServerTab/CapturesPage.tsx

@@ -138,6 +138,7 @@ export function CapturesPage() {
   const allowAutoPaste = settings?.allow_auto_paste ?? true;
   const defaultVoiceId = settings?.default_playback_voice_id ?? null;
   const hotkeyEnabled = settings?.hotkey_enabled ?? false;
+  const keepMicWarm = settings?.keep_mic_warm ?? false;
   const pushToTalkKeys = settings?.chord_push_to_talk_keys ?? defaultChordKeys('push');
   const toggleToTalkKeys = settings?.chord_toggle_to_talk_keys ?? defaultChordKeys('toggle');
 
@@ -221,6 +222,22 @@ export function CapturesPage() {
           <InputMonitoringNotice enabled={hotkeyEnabled} />
         </div>
 
+        <SettingRow
+          title={t('settings.captures.dictation.keepMicWarm.title')}
+          description={t('settings.captures.dictation.keepMicWarm.description')}
+          htmlFor="keepMicWarm"
+          action={
+            <Toggle
+              id="keepMicWarm"
+              checked={keepMicWarm}
+              disabled={!hotkeyEnabled}
+              onCheckedChange={(v) => {
+                update({ keep_mic_warm: v });
+              }}
+            />
+          }
+        />
+
         <SettingRow
           title={t('settings.captures.dictation.pushToTalk.title')}
           description={t('settings.captures.dictation.pushToTalk.description')}

app/src/components/ServerTab/CloudSection.tsx

@@ -0,0 +1,151 @@
+import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
+import { Cloud, Loader2 } from 'lucide-react';
+import { useEffect, useState } from 'react';
+import { Button } from '@/components/ui/button';
+import { useToast } from '@/components/ui/use-toast';
+import { apiClient } from '@/lib/api/client';
+import { SettingRow, SettingSection } from './SettingRow';
+
+// "Log in with browser" device pairing. The backend opens the system browser
+// and completes the code exchange; here we just kick it off and poll status
+// until the link goes live. The API key never touches the frontend.
+export function CloudSection() {
+  const { toast } = useToast();
+  const queryClient = useQueryClient();
+  const [polling, setPolling] = useState(false);
+
+  const { data: status } = useQuery({
+    queryKey: ['cloud-status'],
+    queryFn: () => apiClient.getCloudStatus(),
+    refetchInterval: polling ? 2000 : false,
+  });
+
+  const connected = status?.connected ?? false;
+
+  // Once the browser flow completes, stop polling and celebrate.
+  useEffect(() => {
+    if (connected && polling) {
+      setPolling(false);
+      toast({
+        title: 'Connected to Voicebox Cloud',
+        description: `Linked as ${status?.device_name ?? 'this device'}.`,
+      });
+    }
+  }, [connected, polling, status?.device_name, toast]);
+
+  // Give up after two minutes so an abandoned browser flow doesn't leave the
+  // button stuck on "Waiting for browser…". The backend state stays valid for
+  // ten, so the user can simply start again.
+  useEffect(() => {
+    if (!polling) return;
+    const timeoutId = window.setTimeout(() => {
+      setPolling(false);
+      toast({
+        title: 'Sign-in timed out',
+        description: 'The browser sign-in was not completed. Try again.',
+        variant: 'destructive',
+      });
+    }, 120_000);
+    return () => window.clearTimeout(timeoutId);
+  }, [polling, toast]);
+
+  const startLogin = useMutation({
+    mutationFn: () => apiClient.startCloudLogin(),
+    onSuccess: () => {
+      setPolling(true);
+      toast({
+        title: 'Continue in your browser',
+        description: 'Authorize this device, then return here.',
+      });
+    },
+    onError: (error: Error) =>
+      toast({
+        title: 'Could not start sign-in',
+        description: error.message,
+        variant: 'destructive',
+      }),
+  });
+
+  const disconnect = useMutation({
+    mutationFn: () => apiClient.disconnectCloud(),
+    onSuccess: () => {
+      queryClient.invalidateQueries({ queryKey: ['cloud-status'] });
+      toast({
+        title: 'Disconnected',
+        description:
+          'This device is no longer linked. The key stays valid until revoked in your account.',
+      });
+    },
+    onError: (error: Error) =>
+      toast({ title: 'Could not disconnect', description: error.message, variant: 'destructive' }),
+  });
+
+  const busy = startLogin.isPending || polling;
+
+  return (
+    <SettingSection
+      title="Voicebox Cloud"
+      description="End-to-end encrypted backup & sync across your devices."
+    >
+      <SettingRow
+        title={connected ? 'Connected' : 'Account'}
+        description={
+          connected
+            ? `Linked as ${status?.device_name ?? 'this device'}${
+                status?.key_prefix ? ` · ${status.key_prefix}…` : ''
+              }`
+            : 'Log in to back up and sync your captures and generations.'
+        }
+        action={
+          connected ? (
+            <Button
+              disabled={disconnect.isPending}
+              onClick={() => disconnect.mutate()}
+              size="sm"
+              variant="outline"
+            >
+              {disconnect.isPending ? (
+                <>
+                  <Loader2 className="h-3.5 w-3.5 mr-1.5 animate-spin" />
+                  Disconnecting…
+                </>
+              ) : (
+                'Disconnect'
+              )}
+            </Button>
+          ) : (
+            <Button disabled={busy} onClick={() => startLogin.mutate()} size="sm">
+              {busy ? (
+                <>
+                  <Loader2 className="h-3.5 w-3.5 mr-1.5 animate-spin" />
+                  {polling ? 'Waiting for browser…' : 'Opening…'}
+                </>
+              ) : (
+                <>
+                  <Cloud className="h-3.5 w-3.5 mr-1.5" />
+                  Log in with browser
+                </>
+              )}
+            </Button>
+          )
+        }
+      />
+
+      {connected && (
+        <SettingRow
+          title="Manage"
+          description="Revoke this device, add API keys, or manage billing from your account."
+        >
+          <a
+            className="text-sm text-accent hover:underline"
+            href={status?.dashboard_url ?? 'https://voicebox.sh/account'}
+            rel="noopener noreferrer"
+            target="_blank"
+          >
+            Open account dashboard ↗
+          </a>
+        </SettingRow>
+      )}
+    </SettingSection>
+  );
+}

app/src/components/ServerTab/GeneralPage.tsx

@@ -14,6 +14,7 @@ import { useAutoUpdater } from '@/hooks/useAutoUpdater';
 import { useServerHealth } from '@/lib/hooks/useServer';
 import { usePlatform } from '@/platform/PlatformContext';
 import { useServerStore } from '@/stores/serverStore';
+import { CloudSection } from './CloudSection';
 import { LanguageSelect } from './LanguageSelect';
 import { SettingRow, SettingSection } from './SettingRow';
 import { ThemeSelect } from './ThemeSelect';
@@ -207,6 +208,8 @@ export function GeneralPage() {
         />
       </SettingSection>
 
+      <CloudSection />
+
       <ApiReferenceCard serverUrl={serverUrl} />
 
       {platform.metadata.isTauri && <UpdatesSection />}

app/src/components/ServerTab/GpuPage.tsx

@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next';
 import { Button } from '@/components/ui/button';
 import { Progress } from '@/components/ui/progress';
 import { apiClient } from '@/lib/api/client';
-import type { CudaDownloadProgress, HealthResponse } from '@/lib/api/types';
+import type { CudaDownloadProgress, RocmDownloadProgress, HealthResponse } from '@/lib/api/types';
 import { useServerHealth } from '@/lib/hooks/useServer';
 import { usePlatform } from '@/platform/PlatformContext';
 import { useServerStore } from '@/stores/serverStore';
@@ -50,7 +50,10 @@ function GpuInfoCard({ health }: { health: HealthResponse }) {
     : null;
   const gpuBackend = hasGpu ? health.gpu_type!.replace(/\s*\(.+\)$/, '') : null;
   const isApple = gpuBackend === 'MPS' || gpuBackend === 'Metal';
-  const showBackendVariant = health.backend_variant && health.backend_variant !== 'cpu';
+  const showBackendVariant = 
+    health.backend_variant && 
+    health.backend_variant !== 'cpu' &&
+    health.backend_variant.toLowerCase() !== gpuBackend?.toLowerCase();
 
   return (
     <div className="rounded-lg border border-border/60 p-4">
@@ -115,10 +118,14 @@ export function GpuPage() {
 
   const [restartPhase, setRestartPhase] = useState<RestartPhase>('idle');
   const [error, setError] = useState<string | null>(null);
+  const [cudaStreaming, setCudaStreaming] = useState(false);
+  const [rocmStreaming, setRocmStreaming] = useState(false);
   const [downloadProgress, setDownloadProgress] = useState<CudaDownloadProgress | null>(null);
+  const [rocmDownloadProgress, setRocmDownloadProgress] = useState<RocmDownloadProgress | null>(
+    null,
+  );
   const healthPollRef = useRef<ReturnType<typeof setInterval> | null>(null);
-  // Hold the latest `t` in a ref so the CUDA progress SSE effect below doesn't
-  // tear down and reconnect the EventSource every time the language changes.
+
   const tRef = useRef(t);
   useEffect(() => {
     tRef.current = t;
@@ -136,9 +143,27 @@ export function GpuPage() {
     enabled: !!health,
   });
 
+  const {
+    data: rocmStatus,
+    isLoading: _rocmStatusLoading,
+    refetch: refetchRocmStatus,
+  } = useQuery({
+    queryKey: ['rocm-status', serverUrl],
+    queryFn: () => apiClient.getRocmStatus(),
+    refetchInterval: (query) => (query.state.status === 'pending' ? false : 10000),
+    retry: 1,
+    enabled: !!health,
+  });
+
   const isCurrentlyCuda = health?.backend_variant === 'cuda';
+  const isCurrentlyRocm = health?.backend_variant === 'rocm';
   const cudaAvailable = cudaStatus?.available ?? false;
   const cudaDownloading = cudaStatus?.downloading ?? false;
+  const rocmAvailable = rocmStatus?.available ?? false;
+  const rocmDownloading = rocmStatus?.downloading ?? false;
+  // The ROCm backend only applies to AMD GPUs on Windows. Show the section when
+  // the backend detects applicable hardware, or it is already downloaded/active.
+  const supportsRocm = (health?.supports_rocm ?? false) || rocmAvailable || isCurrentlyRocm;
 
   useEffect(() => {
     return () => {
@@ -150,7 +175,7 @@ export function GpuPage() {
   }, []);
 
   useEffect(() => {
-    if (!cudaDownloading || !serverUrl) return;
+    if ((!cudaDownloading && !cudaStreaming) || !serverUrl) return;
 
     const eventSource = new EventSource(`${serverUrl}/backend/cuda-progress`);
 
@@ -162,11 +187,13 @@ export function GpuPage() {
         if (data.status === 'complete') {
           eventSource.close();
           setDownloadProgress(null);
+          setCudaStreaming(false);
           refetchCudaStatus();
         } else if (data.status === 'error') {
           eventSource.close();
           setError(data.error || tRef.current('settings.gpu.errors.downloadFailed'));
           setDownloadProgress(null);
+          setCudaStreaming(false);
           refetchCudaStatus();
         }
       } catch (e) {
@@ -176,12 +203,50 @@ export function GpuPage() {
 
     eventSource.onerror = () => {
       eventSource.close();
+      setCudaStreaming(false);
     };
 
     return () => {
       eventSource.close();
     };
-  }, [cudaDownloading, serverUrl, refetchCudaStatus]);
+  }, [cudaDownloading, cudaStreaming, serverUrl, refetchCudaStatus]);
+
+  useEffect(() => {
+    if ((!rocmDownloading && !rocmStreaming) || !serverUrl) return;
+
+    const eventSource = new EventSource(`${serverUrl}/backend/rocm-progress`);
+
+    eventSource.onmessage = (event) => {
+      try {
+        const data = JSON.parse(event.data) as RocmDownloadProgress;
+        setRocmDownloadProgress(data);
+
+        if (data.status === 'complete') {
+          eventSource.close();
+          setRocmDownloadProgress(null);
+          setRocmStreaming(false);
+          refetchRocmStatus();
+        } else if (data.status === 'error') {
+          eventSource.close();
+          setError(data.error || tRef.current('settings.gpu.errors.downloadFailed'));
+          setRocmDownloadProgress(null);
+          setRocmStreaming(false);
+          refetchRocmStatus();
+        }
+      } catch (e) {
+        console.error('Error parsing ROCm progress event:', e);
+      }
+    };
+
+    eventSource.onerror = () => {
+      eventSource.close();
+      setRocmStreaming(false);
+    };
+
+    return () => {
+      eventSource.close();
+    };
+  }, [rocmDownloading, rocmStreaming, serverUrl, refetchRocmStatus]);
 
   const clearHealthPolling = useCallback(() => {
     if (healthPollRef.current) {
@@ -224,10 +289,11 @@ export function GpuPage() {
     [platform, startHealthPolling, clearHealthPolling],
   );
 
-  const handleDownload = async () => {
+  const handleDownloadCuda = async () => {
     setError(null);
     try {
       await apiClient.downloadCudaBackend();
+      setCudaStreaming(true);
       refetchCudaStatus();
     } catch (e: unknown) {
       const msg = e instanceof Error ? e.message : t('settings.gpu.errors.downloadStart');
@@ -239,28 +305,64 @@ export function GpuPage() {
     }
   };
 
-  const handleRestart = async () => {
+  const handleDownloadRocm = async () => {
     setError(null);
     try {
-      await restartServerWithPolling(t('settings.gpu.errors.restartFailed'));
+      await apiClient.downloadRocmBackend();
+      setRocmStreaming(true);
+      refetchRocmStatus();
     } catch (e: unknown) {
-      setError(e instanceof Error ? e.message : t('settings.gpu.errors.restartFailed'));
+      const msg = e instanceof Error ? e.message : t('settings.gpu.errors.downloadStart');
+      if (msg.includes('already downloaded')) {
+        refetchRocmStatus();
+      } else {
+        setError(msg);
+      }
     }
   };
 
+
   const handleSwitchToCpu = async () => {
     setError(null);
     setRestartPhase('stopping');
     try {
-      await apiClient.deleteCudaBackend();
+      await platform.lifecycle.setBackendOverride('cpu');
       await restartServerWithPolling(t('settings.gpu.errors.switchCpu'));
     } catch (e: unknown) {
+      setRestartPhase('idle');
       setError(e instanceof Error ? e.message : t('settings.gpu.errors.switchCpu'));
       refetchCudaStatus();
+      refetchRocmStatus();
+    }
+  };
+
+  const handleSwitchToCuda = async () => {
+    setError(null);
+    setRestartPhase('stopping');
+    try {
+      await platform.lifecycle.setBackendOverride('cuda');
+      await restartServerWithPolling(t('settings.gpu.errors.restartFailed'));
+    } catch (e: unknown) {
+      setRestartPhase('idle');
+      setError(e instanceof Error ? e.message : t('settings.gpu.errors.restartFailed'));
+      refetchCudaStatus();
     }
   };
 
-  const handleDelete = async () => {
+  const handleSwitchToRocm = async () => {
+    setError(null);
+    setRestartPhase('stopping');
+    try {
+      await platform.lifecycle.setBackendOverride('rocm');
+      await restartServerWithPolling(t('settings.gpu.errors.restartFailed'));
+    } catch (e: unknown) {
+      setRestartPhase('idle');
+      setError(e instanceof Error ? e.message : t('settings.gpu.errors.restartFailed'));
+      refetchRocmStatus();
+    }
+  };
+
+  const handleDeleteCuda = async () => {
     setError(null);
     try {
       await apiClient.deleteCudaBackend();
@@ -270,6 +372,16 @@ export function GpuPage() {
     }
   };
 
+  const handleDeleteRocm = async () => {
+    setError(null);
+    try {
+      await apiClient.deleteRocmBackend();
+      refetchRocmStatus();
+    } catch (e: unknown) {
+      setError(e instanceof Error ? e.message : t('settings.gpu.errors.deleteRocm'));
+    }
+  };
+
   const formatBytes = (bytes: number): string => {
     if (bytes === 0) return '0 B';
     const k = 1024;
@@ -283,6 +395,7 @@ export function GpuPage() {
   const hasNativeGpu =
     health.gpu_available &&
     !isCurrentlyCuda &&
+    !isCurrentlyRocm &&
     health.gpu_type &&
     !health.gpu_type.includes('CUDA');
 
@@ -290,33 +403,188 @@ export function GpuPage() {
     <div className="space-y-8 max-w-2xl">
       <GpuInfoCard health={health} />
 
-      {!hasNativeGpu && !isCurrentlyCuda && (
-        <SettingSection
-          title={t('settings.gpu.cuda.title')}
-          description={t('settings.gpu.cuda.description')}
-        >
-          {cudaDownloading && downloadProgress && (
-            <SettingRow title={t('settings.gpu.cuda.downloading')}>
-              <div className="space-y-1.5">
-                <Progress value={downloadProgress.progress} className="h-2" />
-                <div className="flex items-center justify-between text-xs text-muted-foreground">
-                  <span>
-                    {downloadProgress.filename ||
-                      (cudaAvailable
-                        ? t('settings.gpu.cuda.updating')
-                        : t('settings.gpu.cuda.downloadingShort'))}
-                  </span>
-                  <span>
-                    {downloadProgress.total > 0
-                      ? `${formatBytes(downloadProgress.current)} / ${formatBytes(downloadProgress.total)}`
-                      : `${downloadProgress.progress.toFixed(1)}%`}
-                  </span>
+      {!hasNativeGpu && !isCurrentlyCuda && !isCurrentlyRocm && (
+        <>
+          <SettingSection
+            title={t('settings.gpu.cuda.title')}
+            description={t('settings.gpu.cuda.description')}
+          >
+            {cudaDownloading && downloadProgress && (
+              <SettingRow title={t('settings.gpu.cuda.downloading')}>
+                <div className="space-y-1.5">
+                  <Progress value={downloadProgress.progress} className="h-2" />
+                  <div className="flex items-center justify-between text-xs text-muted-foreground">
+                    <span>
+                      {downloadProgress.filename ||
+                        (cudaAvailable
+                          ? t('settings.gpu.cuda.updating')
+                          : t('settings.gpu.cuda.downloadingShort'))}
+                    </span>
+                    <span>
+                      {downloadProgress.total > 0
+                        ? `${formatBytes(downloadProgress.current)} / ${formatBytes(downloadProgress.total)}`
+                        : `${downloadProgress.progress.toFixed(1)}%`}
+                    </span>
+                  </div>
                 </div>
-              </div>
-            </SettingRow>
-          )}
+              </SettingRow>
+            )}
 
-          {restartPhase !== 'idle' && (
+            {restartPhase !== 'idle' && (
+              <SettingRow
+                title={
+                  restartPhase === 'ready'
+                    ? t('settings.gpu.restart.ready')
+                    : restartPhase === 'waiting'
+                      ? t('settings.gpu.restart.waiting')
+                      : t('settings.gpu.restart.stopping')
+                }
+                action={<Loader2 className="h-4 w-4 animate-spin text-muted-foreground" />}
+              />
+            )}
+
+            {error && (
+              <SettingRow title={t('common.error')}>
+                <div className="flex items-center gap-2 text-sm text-destructive">
+                  <AlertCircle className="h-4 w-4 shrink-0" />
+                  <span>{error}</span>
+                </div>
+              </SettingRow>
+            )}
+
+            {restartPhase === 'idle' && !cudaDownloading && (
+              <>
+                {!cudaAvailable && !isCurrentlyCuda && (
+                  <SettingRow
+                    title={t('settings.gpu.download.title')}
+                    description={t('settings.gpu.download.description')}
+                    action={
+                      <Button onClick={handleDownloadCuda} size="sm">
+                        <Download className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.download.button')}
+                      </Button>
+                    }
+                  />
+                )}
+
+                {cudaAvailable && !isCurrentlyCuda && platform.metadata.isTauri && (
+                  <SettingRow
+                    title={t('settings.gpu.switchToCuda.title')}
+                    description={t('settings.gpu.switchToCuda.description')}
+                    action={
+                      <Button onClick={handleSwitchToCuda} size="sm">
+                        <RotateCw className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.switchToCuda.button')}
+                      </Button>
+                    }
+                  />
+                )}
+
+                {cudaAvailable && !isCurrentlyCuda && (
+                  <SettingRow
+                    title={t('settings.gpu.remove.title')}
+                    description={t('settings.gpu.remove.description')}
+                    action={
+                      <Button
+                        onClick={handleDeleteCuda}
+                        variant="ghost"
+                        size="sm"
+                        className="text-muted-foreground hover:text-destructive"
+                      >
+                        <Trash2 className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.remove.button')}
+                      </Button>
+                    }
+                  />
+                )}
+              </>
+            )}
+          </SettingSection>
+
+          {supportsRocm && (
+          <SettingSection
+            title={t('settings.gpu.rocm.title')}
+            description={t('settings.gpu.rocm.description')}
+          >
+            {rocmDownloading && rocmDownloadProgress && (
+              <SettingRow title={t('settings.gpu.rocm.downloading')}>
+                <div className="space-y-1.5">
+                  <Progress value={rocmDownloadProgress.progress} className="h-2" />
+                  <div className="flex items-center justify-between text-xs text-muted-foreground">
+                    <span>
+                      {rocmDownloadProgress.filename ||
+                        (rocmAvailable
+                          ? t('settings.gpu.rocm.updating')
+                          : t('settings.gpu.rocm.downloadingShort'))}
+                    </span>
+                    <span>
+                      {rocmDownloadProgress.total > 0
+                        ? `${formatBytes(rocmDownloadProgress.current)} / ${formatBytes(rocmDownloadProgress.total)}`
+                        : `${rocmDownloadProgress.progress.toFixed(1)}%`}
+                    </span>
+                  </div>
+                </div>
+              </SettingRow>
+            )}
+
+            {restartPhase === 'idle' && !rocmDownloading && (
+              <>
+                {!rocmAvailable && !isCurrentlyRocm && (
+                  <SettingRow
+                    title={t('settings.gpu.downloadRocm.title')}
+                    description={t('settings.gpu.downloadRocm.description')}
+                    action={
+                      <Button onClick={handleDownloadRocm} size="sm">
+                        <Download className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.downloadRocm.button')}
+                      </Button>
+                    }
+                  />
+                )}
+
+                {rocmAvailable && !isCurrentlyRocm && platform.metadata.isTauri && (
+                  <SettingRow
+                    title={t('settings.gpu.switchToRocm.title')}
+                    description={t('settings.gpu.switchToRocm.description')}
+                    action={
+                      <Button onClick={handleSwitchToRocm} size="sm">
+                        <RotateCw className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.switchToRocm.button')}
+                      </Button>
+                    }
+                  />
+                )}
+
+                {rocmAvailable && !isCurrentlyRocm && (
+                  <SettingRow
+                    title={t('settings.gpu.removeRocm.title')}
+                    description={t('settings.gpu.removeRocm.description')}
+                    action={
+                      <Button
+                        onClick={handleDeleteRocm}
+                        variant="ghost"
+                        size="sm"
+                        className="text-muted-foreground hover:text-destructive"
+                      >
+                        <Trash2 className="h-3.5 w-3.5 mr-1.5" />
+                        {t('settings.gpu.removeRocm.button')}
+                      </Button>
+                    }
+                  />
+                )}
+              </>
+            )}
+          </SettingSection>
+          )}
+        </>
+      )}
+
+      {(isCurrentlyCuda || isCurrentlyRocm) && platform.metadata.isTauri && (
+        <SettingSection
+          title={isCurrentlyCuda ? t('settings.gpu.cuda.activeTitle') : t('settings.gpu.rocm.activeTitle')}
+          description={t('settings.gpu.activeBackend.description')}
+        >
+          {restartPhase !== 'idle' ? (
             <SettingRow
               title={
                 restartPhase === 'ready'
@@ -327,8 +595,18 @@ export function GpuPage() {
               }
               action={<Loader2 className="h-4 w-4 animate-spin text-muted-foreground" />}
             />
+          ) : (
+            <SettingRow
+              title={t('settings.gpu.switchToCpu.title')}
+              description={t('settings.gpu.switchToCpu.description')}
+              action={
+                <Button onClick={handleSwitchToCpu} variant="outline" size="sm">
+                  <RotateCw className="h-3.5 w-3.5 mr-1.5" />
+                  {t('settings.gpu.switchToCpu.button')}
+                </Button>
+              }
+            />
           )}
-
           {error && (
             <SettingRow title={t('common.error')}>
               <div className="flex items-center gap-2 text-sm text-destructive">
@@ -337,67 +615,6 @@ export function GpuPage() {
               </div>
             </SettingRow>
           )}
-
-          {restartPhase === 'idle' && !cudaDownloading && (
-            <>
-              {!cudaAvailable && !isCurrentlyCuda && (
-                <SettingRow
-                  title={t('settings.gpu.download.title')}
-                  description={t('settings.gpu.download.description')}
-                  action={
-                    <Button onClick={handleDownload} size="sm">
-                      <Download className="h-3.5 w-3.5 mr-1.5" />
-                      {t('settings.gpu.download.button')}
-                    </Button>
-                  }
-                />
-              )}
-
-              {cudaAvailable && !isCurrentlyCuda && platform.metadata.isTauri && (
-                <SettingRow
-                  title={t('settings.gpu.switchToCuda.title')}
-                  description={t('settings.gpu.switchToCuda.description')}
-                  action={
-                    <Button onClick={handleRestart} size="sm">
-                      <RotateCw className="h-3.5 w-3.5 mr-1.5" />
-                      {t('settings.gpu.switchToCuda.button')}
-                    </Button>
-                  }
-                />
-              )}
-
-              {isCurrentlyCuda && platform.metadata.isTauri && (
-                <SettingRow
-                  title={t('settings.gpu.switchToCpu.title')}
-                  description={t('settings.gpu.switchToCpu.description')}
-                  action={
-                    <Button onClick={handleSwitchToCpu} variant="outline" size="sm">
-                      <RotateCw className="h-3.5 w-3.5 mr-1.5" />
-                      {t('settings.gpu.switchToCpu.button')}
-                    </Button>
-                  }
-                />
-              )}
-
-              {cudaAvailable && !isCurrentlyCuda && (
-                <SettingRow
-                  title={t('settings.gpu.remove.title')}
-                  description={t('settings.gpu.remove.description')}
-                  action={
-                    <Button
-                      onClick={handleDelete}
-                      variant="ghost"
-                      size="sm"
-                      className="text-muted-foreground "
-                    >
-                      <Trash2 className="h-3.5 w-3.5 mr-1.5" />
-                      {t('settings.gpu.remove.button')}
-                    </Button>
-                  }
-                />
-              )}
-            </>
-          )}
         </SettingSection>
       )}
 

app/src/i18n/index.ts

@@ -2,15 +2,25 @@ import i18n from 'i18next';
 import LanguageDetector from 'i18next-browser-languagedetector';
 import { initReactI18next } from 'react-i18next';
 import en from './locales/en/translation.json';
+import es from './locales/es/translation.json';
+import fr from './locales/fr/translation.json';
+import it from './locales/it/translation.json';
 import ja from './locales/ja/translation.json';
+import ko from './locales/ko/translation.json';
+import ptBR from './locales/pt-BR/translation.json';
 import zhCN from './locales/zh-CN/translation.json';
 import zhTW from './locales/zh-TW/translation.json';
 
 export const SUPPORTED_LANGUAGES = [
   { code: 'en', label: 'English' },
+  { code: 'es', label: 'Español' },
+  { code: 'pt-BR', label: 'Português (Brasil)' },
   { code: 'ja', label: '日本語' },
+  { code: 'ko', label: '한국어' },
   { code: 'zh-CN', label: '简体中文' },
   { code: 'zh-TW', label: '繁體中文' },
+  { code: 'fr', label: 'Français' },
+  { code: 'it', label: 'Italiano' },
 ] as const;
 
 export type LanguageCode = (typeof SUPPORTED_LANGUAGES)[number]['code'];
@@ -21,9 +31,14 @@ i18n
   .init({
     resources: {
       en: { translation: en },
+      es: { translation: es },
+      'pt-BR': { translation: ptBR },
       ja: { translation: ja },
+      ko: { translation: ko },
       'zh-CN': { translation: zhCN },
       'zh-TW': { translation: zhTW },
+      fr: { translation: fr },
+      it: { translation: it },
     },
     fallbackLng: 'en',
     supportedLngs: SUPPORTED_LANGUAGES.map((l) => l.code),

app/src/i18n/locales/en/translation.json

@@ -760,8 +760,13 @@
       }
     },
     "general": {
-      "docs": { "title": "Read the Docs" },
-      "discord": { "title": "Join the Discord", "subtitle": "Get help & share voices" },
+      "docs": {
+        "title": "Read the Docs"
+      },
+      "discord": {
+        "title": "Join the Discord",
+        "subtitle": "Get help & share voices"
+      },
       "serverUrl": {
         "title": "Server URL",
         "description": "The address of your voicebox backend server.",
@@ -882,6 +887,10 @@
           "title": "Global shortcut",
           "description": "Hold the shortcut to record from anywhere on your machine. Release to transcribe."
         },
+        "keepMicWarm": {
+          "title": "Keep microphone ready",
+          "description": "Hold the microphone open while dictation is enabled so the first words are never clipped. The macOS microphone indicator stays lit while it's on."
+        },
         "pushToTalk": {
           "title": "Push-to-talk shortcut",
           "description": "Hold these keys anywhere on your system to record. Release to stop and transcribe.",
@@ -1091,11 +1100,15 @@
       "active": "Active",
       "cuda": {
         "title": "CUDA Backend",
+        "activeTitle": "CUDA Backend Active",
         "description": "NVIDIA GPU acceleration via a downloadable CUDA backend.",
         "downloading": "Downloading CUDA backend…",
         "downloadingShort": "Downloading…",
         "updating": "Updating…"
       },
+      "activeBackend": {
+        "description": "GPU acceleration is currently enabled."
+      },
       "restart": {
         "ready": "Server restarted successfully",
         "waiting": "Restarting server…",
@@ -1113,10 +1126,9 @@
       },
       "switchToCpu": {
         "title": "Switch to CPU backend",
-        "description": "Disable GPU acceleration. You can re-download CUDA later.",
+        "description": "Disable GPU acceleration. You can re-download the GPU backend later.",
         "button": "Switch"
-      },
-      "remove": {
+      },      "remove": {
         "title": "Remove CUDA backend",
         "description": "Delete the downloaded CUDA binary to free disk space.",
         "button": "Remove"
@@ -1126,9 +1138,33 @@
         "downloadStart": "Failed to start download",
         "restartFailed": "Restart failed",
         "switchCpu": "Failed to switch to CPU",
-        "deleteCuda": "Failed to delete CUDA backend"
+        "deleteCuda": "Failed to delete CUDA backend",
+        "deleteRocm": "Failed to delete ROCm backend"
       },
-      "footer": "Voicebox automatically detects and uses the best available GPU on your system. On Apple Silicon Macs, the MLX backend runs natively on the Neural Engine and GPU via Metal Performance Shaders (MPS), with no additional setup required. On Windows and Linux with NVIDIA GPUs, you can download an optional CUDA backend for hardware-accelerated inference. AMD ROCm, Intel XPU, and DirectML are also supported where available through PyTorch. When no GPU is detected, Voicebox falls back to CPU — all engines still work, just slower."
+      "footer": "Voicebox automatically detects and uses the best available GPU on your system. On Apple Silicon Macs, the MLX backend runs natively on the Neural Engine and GPU via Metal Performance Shaders (MPS), with no additional setup required. On Windows, you can download optional CUDA (NVIDIA) or ROCm (AMD) backends for hardware-accelerated inference. Intel XPU and DirectML are also supported where available through PyTorch. When no GPU is detected, Voicebox falls back to CPU — all engines still work, just slower.",
+      "rocm": {
+        "title": "AMD ROCm Backend",
+        "activeTitle": "ROCm Backend Active",
+        "description": "AMD GPU acceleration via a downloadable ROCm backend.",
+        "downloading": "Downloading ROCm backend…",
+        "downloadingShort": "Downloading…",
+        "updating": "Updating…"
+      },
+      "downloadRocm": {
+        "title": "Download AMD ROCm backend",
+        "description": "~2-3 GB download. Requires an AMD Radeon GPU with ROCm support.",
+        "button": "Download"
+      },
+      "switchToRocm": {
+        "title": "Switch to ROCm backend",
+        "description": "ROCm backend is downloaded and ready. Restart to enable.",
+        "button": "Restart"
+      },
+      "removeRocm": {
+        "title": "Remove ROCm backend",
+        "description": "Delete the downloaded ROCm binary to free disk space.",
+        "button": "Remove"
+      }
     },
     "logs": {
       "title": "Server Logs",

app/src/lib/api/client.ts

@@ -20,6 +20,7 @@ import type {
   PresetVoice,
   PersonalityTextResponse,
   ProfileSampleResponse,
+  RocmStatus,
   StoryCreate,
   StoryDetailResponse,
   StoryItemBatchUpdate,
@@ -50,6 +51,8 @@ import type {
   MCPClientBinding,
   MCPClientBindingListResponse,
   MCPClientBindingUpsert,
+  CloudLoginStartResponse,
+  CloudStatus,
 } from './types';
 
 function formatErrorDetail(detail: unknown, fallback: string): string {
@@ -693,6 +696,23 @@ class ApiClient {
     });
   }
 
+  // ROCm Backend Management
+  async getRocmStatus(): Promise<RocmStatus> {
+    return this.request<RocmStatus>('/backend/rocm-status');
+  }
+
+  async downloadRocmBackend(): Promise<{ message: string; progress_key: string }> {
+    return this.request<{ message: string; progress_key: string }>('/backend/download-rocm', {
+      method: 'POST',
+    });
+  }
+
+  async deleteRocmBackend(): Promise<{ message: string }> {
+    return this.request<{ message: string }>('/backend/rocm', {
+      method: 'DELETE',
+    });
+  }
+
   // Stories
   async listStories(): Promise<StoryResponse[]> {
     return this.request<StoryResponse[]>('/stories');
@@ -920,6 +940,21 @@ class ApiClient {
 
     return response.blob();
   }
+
+  // Cloud (backup & sync) — browser-based device login. startCloudLogin opens
+  // the system browser server-side; the UI then polls getCloudStatus until the
+  // backend completes the exchange and the link goes live.
+  async getCloudStatus(): Promise<CloudStatus> {
+    return this.request<CloudStatus>('/cloud/status');
+  }
+
+  async startCloudLogin(): Promise<CloudLoginStartResponse> {
+    return this.request<CloudLoginStartResponse>('/cloud/login/start', { method: 'POST' });
+  }
+
+  async disconnectCloud(): Promise<CloudStatus> {
+    return this.request<CloudStatus>('/cloud/disconnect', { method: 'POST' });
+  }
 }
 
 export const apiClient = new ApiClient();

app/src/lib/api/models/ModelStatus.ts

@@ -9,7 +9,7 @@ export type ModelStatus = {
   model_name: string;
   display_name: string;
   downloaded: boolean;
-  downloading?: boolean;  // True if download is in progress
+  downloading?: boolean; // True if download is in progress
   size_mb?: number | null;
   loaded?: boolean;
 };

app/src/lib/api/types.ts

@@ -213,6 +213,10 @@ export interface CaptureSettings {
   /** Whether the global keyboard hotkey is armed. Off by default — turning
    *  this on triggers the macOS Input Monitoring TCC prompt. */
   hotkey_enabled: boolean;
+  /** Hold the mic open while dictation is enabled so push-to-talk doesn't clip
+   *  the first words. Off by default — when on, the OS mic indicator stays lit
+   *  the whole time dictation is enabled. */
+  keep_mic_warm: boolean;
   /** keytap key names. Defaults are platform-specific right-hand modifiers. */
   chord_push_to_talk_keys: string[];
   /** keytap key names. Toggle adds Space to the platform-specific PTT chord. */
@@ -269,7 +273,8 @@ export interface HealthResponse {
   gpu_type?: string;
   vram_used_mb?: number;
   backend_type?: string;
-  backend_variant?: string; // "cpu" or "cuda"
+  backend_variant?: string; // "cpu", "cuda", or "rocm"
+  supports_rocm?: boolean; // AMD GPU on Windows — the ROCm backend is applicable
 }
 
 export interface CudaDownloadProgress {
@@ -286,11 +291,34 @@ export interface CudaDownloadProgress {
 export interface CudaStatus {
   available: boolean; // CUDA binary exists on disk
   active: boolean; // Currently running the CUDA binary
-  binary_path?: string;
+  binary_path: string | null;
+  cuda_libs_version: string | null;
+  download_supported: boolean; // Platform has a matching release asset
+  unsupported_reason: string | null;
   downloading: boolean; // Download in progress
   download_progress?: CudaDownloadProgress;
 }
 
+export interface RocmDownloadProgress {
+  model_name: string;
+  current: number;
+  total: number;
+  progress: number;
+  filename?: string;
+  status: 'downloading' | 'extracting' | 'complete' | 'error';
+  timestamp: string;
+  error?: string;
+}
+
+export interface RocmStatus {
+  available: boolean; // ROCm binary exists on disk
+  active: boolean; // Currently running the ROCm binary
+  binary_path?: string;
+  rocm_libs_version?: string;
+  downloading: boolean; // Download in progress
+  download_progress?: RocmDownloadProgress;
+}
+
 export interface ModelProgress {
   model_name: string;
   current: number;
@@ -521,3 +549,18 @@ export interface MCPClientBindingUpsert {
 export interface MCPClientBindingListResponse {
   items: MCPClientBinding[];
 }
+
+/* ─── Cloud (backup & sync) ───────────────────────────────────────────── */
+
+export interface CloudLoginStartResponse {
+  authorize_url: string;
+}
+
+export interface CloudStatus {
+  connected: boolean;
+  device_name: string | null;
+  account_user_id: string | null;
+  key_prefix: string | null;
+  connected_at: string | null;
+  dashboard_url: string;
+}

app/src/lib/hooks/useAudioRecording.ts

@@ -4,12 +4,45 @@ import { convertToWav } from '@/lib/utils/audio';
 
 interface UseAudioRecordingOptions {
   maxDurationSeconds?: number;
-  onRecordingComplete?: (blob: Blob, duration?: number) => void;
+  // ``context`` is whatever was handed to ``startRecording`` for this take,
+  // threaded back untouched so callers can correlate the result with the
+  // recording it came from (the dictate window pairs it with the focus
+  // snapshot captured at chord-start).
+  onRecordingComplete?: (blob: Blob, duration?: number, context?: unknown) => void;
+  /**
+   * Keep the microphone ``MediaStream`` open between recordings instead of
+   * tearing it down on every stop. This is what removes the "first words get
+   * clipped" problem on push-to-talk dictation: ``getUserMedia`` on macOS can
+   * take several hundred ms — up to a second cold — to hand back a stream, and
+   * ``MediaRecorder`` only starts capturing *after* it resolves, so everything
+   * spoken in that window is lost. With a warm stream already open, the next
+   * ``startRecording`` skips ``getUserMedia`` entirely.
+   *
+   * Off by default: the voice-clone sample recorders release the device
+   * immediately, and the dictation session only opts in when the user enables
+   * the "keep microphone ready" setting. While on, the warm stream stays open —
+   * and the OS mic-in-use indicator stays lit — until it's explicitly released
+   * (dictation disabled or the setting turned off), so the trade-off is visible
+   * and user-controlled rather than a background mic that's always warm.
+   */
+  keepWarm?: boolean;
 }
 
+// Audio constraints for capture. Kept identical to the previous inline value so
+// this change is purely about *when* the stream is opened, not *how*.
+const AUDIO_CONSTRAINTS: MediaTrackConstraints = {
+  echoCancellation: true,
+  noiseSuppression: true,
+  autoGainControl: true,
+};
+
+const streamHasLiveAudio = (stream: MediaStream | null): stream is MediaStream =>
+  !!stream && stream.getAudioTracks().some((t) => t.readyState === 'live');
+
 export function useAudioRecording({
   maxDurationSeconds,
   onRecordingComplete,
+  keepWarm = false,
 }: UseAudioRecordingOptions = {}) {
   const platform = usePlatform();
   const [isRecording, setIsRecording] = useState(false);
@@ -17,195 +50,392 @@ export function useAudioRecording({
   const [error, setError] = useState<string | null>(null);
   const mediaRecorderRef = useRef<MediaRecorder | null>(null);
   const chunksRef = useRef<Blob[]>([]);
+  // The stream currently backing the MediaRecorder. When ``keepWarm`` is set
+  // this is the same object as ``warmStreamRef`` and is *not* torn down on
+  // stop; otherwise it's stopped as soon as the recording completes.
   const streamRef = useRef<MediaStream | null>(null);
+  // Persistent pre-opened stream reused across recordings when ``keepWarm``.
+  const warmStreamRef = useRef<MediaStream | null>(null);
   const timerRef = useRef<number | null>(null);
   const startTimeRef = useRef<number | null>(null);
   const cancelledRef = useRef<boolean>(false);
+  // Mirror of ``isRecording`` for reads inside callbacks that would otherwise
+  // close over a stale render.
+  const isRecordingRef = useRef(false);
+  // A ``getUserMedia`` call in flight, shared so concurrent acquirers (prewarm
+  // plus an immediate chord) coalesce onto one stream instead of each opening —
+  // and orphaning — their own.
+  const acquiringRef = useRef<Promise<MediaStream> | null>(null);
+  // True from ``startRecording`` entry until the recorder is actually running
+  // (or has failed), so a stop that arrives mid-acquisition can be deferred.
+  const startingRef = useRef(false);
+  // True from MediaRecorder.stop() until onstop has snapshotted the take's
+  // shared refs. React state and MediaRecorder.state both flip before onstop,
+  // so without this gate a rapid next chord can clear chunks/duration/cancel
+  // state out from under the recorder that is still finalising.
+  const finishingRef = useRef(false);
+  const pendingStopRef = useRef(false);
+  // Bumped per recording so a stale recorder's ``onstop`` can tell it's no
+  // longer the active one before it touches the shared stream refs.
+  const recordingCounterRef = useRef(0);
+  // Bumped whenever the warm stream is released/aborted so a ``getUserMedia``
+  // still in flight can tell its result is stale and stop it instead of
+  // adopting a live mic after disable/unmount.
+  const acquireGenRef = useRef(0);
+  // Set when a release is requested mid-recording; the onstop path performs the
+  // deferred release once capture finishes rather than yanking the device now.
+  const releaseAfterStopRef = useRef(false);
 
-  const startRecording = useCallback(async () => {
-    try {
-      setError(null);
-      chunksRef.current = [];
-      cancelledRef.current = false;
-      setDuration(0);
+  // Keeps the ref in lockstep with the state so the synchronous stop path reads
+  // a fresh value without waiting for a rerender.
+  const setRecording = useCallback((next: boolean) => {
+    isRecordingRef.current = next;
+    setIsRecording(next);
+  }, []);
 
-      // Check if getUserMedia is available
-      // In Tauri, navigator.mediaDevices might not be available immediately
-      if (typeof navigator === 'undefined') {
-        const errorMsg =
-          'Navigator API is not available. This might be a Tauri configuration issue.';
-        setError(errorMsg);
-        throw new Error(errorMsg);
-      }
+  const releaseWarmStream = useCallback(() => {
+    // Invalidate any getUserMedia still in flight so its stream is stopped on
+    // resolve rather than adopted as the warm stream.
+    acquireGenRef.current += 1;
+    // Don't tear the device out from under an active/starting recording — the
+    // warm stream is the one backing it; defer to the onstop path instead.
+    if (isRecordingRef.current || startingRef.current) {
+      releaseAfterStopRef.current = true;
+      return;
+    }
+    warmStreamRef.current?.getTracks().forEach((track) => {
+      track.stop();
+    });
+    warmStreamRef.current = null;
+  }, []);
 
+  // Assert that getUserMedia is reachable, mirroring the previous inline guard
+  // (Tauri webviews occasionally expose ``navigator.mediaDevices`` a beat late).
+  const assertMediaDevices = useCallback(async () => {
+    if (typeof navigator === 'undefined') {
+      throw new Error('Navigator API is not available. This might be a Tauri configuration issue.');
+    }
+    if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
+      await new Promise((resolve) => setTimeout(resolve, 100));
       if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
-        // Try waiting a bit for Tauri webview to initialize
-        await new Promise((resolve) => setTimeout(resolve, 100));
-
-        if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
-          console.error('MediaDevices check:', {
-            hasNavigator: typeof navigator !== 'undefined',
-            hasMediaDevices: !!navigator?.mediaDevices,
-            hasGetUserMedia: !!navigator?.mediaDevices?.getUserMedia,
-            isTauri: platform.metadata.isTauri,
-          });
-
-          const errorMsg = platform.metadata.isTauri
+        throw new Error(
+          platform.metadata.isTauri
             ? 'Microphone access is not available. Please ensure:\n1. The app has microphone permissions in System Settings (macOS: System Settings > Privacy & Security > Microphone)\n2. You restart the app after granting permissions\n3. You are using Tauri v2 with a webview that supports getUserMedia'
-            : 'Microphone access is not available. Please ensure you are using a secure context (HTTPS or localhost) and that your browser has microphone permissions enabled.';
-          setError(errorMsg);
-          throw new Error(errorMsg);
-        }
+            : 'Microphone access is not available. Please ensure you are using a secure context (HTTPS or localhost) and that your browser has microphone permissions enabled.',
+        );
       }
+    }
+  }, [platform.metadata.isTauri]);
 
-      // Request microphone access
-      const stream = await navigator.mediaDevices.getUserMedia({
-        audio: {
-          echoCancellation: true,
-          noiseSuppression: true,
-          autoGainControl: true,
-        },
+  // Return a live capture stream, reusing the warm one when available so the
+  // hot path (chord-down → record) never waits on getUserMedia.
+  const acquireStream = useCallback(async (): Promise<MediaStream> => {
+    // Captured separately so it stays typed as the full stream after the live
+    // check narrows ``warmStreamRef.current`` itself.
+    const existing = warmStreamRef.current;
+    if (streamHasLiveAudio(warmStreamRef.current)) {
+      return warmStreamRef.current;
+    }
+    // Coalesce concurrent acquirers onto one getUserMedia call so prewarm and
+    // an immediate chord can't open two streams.
+    if (acquiringRef.current) return acquiringRef.current;
+    // A dead warm stream (device unplugged / tracks ended) — drop it and reopen.
+    if (existing) {
+      existing.getTracks().forEach((track) => {
+        track.stop();
       });
-
-      streamRef.current = stream;
-
-      // Create MediaRecorder with preferred MIME type
-      const options: MediaRecorderOptions = {
-        mimeType: 'audio/webm;codecs=opus',
-      };
-
-      // Fallback to default if webm not supported
-      if (!MediaRecorder.isTypeSupported(options.mimeType!)) {
-        delete options.mimeType;
-      }
-
-      const mediaRecorder = new MediaRecorder(stream, options);
-      mediaRecorderRef.current = mediaRecorder;
-
-      mediaRecorder.ondataavailable = (event) => {
-        if (event.data.size > 0) {
-          chunksRef.current.push(event.data);
-        }
-      };
-
-      mediaRecorder.onstop = async () => {
-        // Snapshot the cancellation flag and recorded duration immediately —
-        // cancelRecording() clears chunks and sets cancelledRef synchronously
-        // before this async handler runs, so we must check it first.
-        const wasCancelled = cancelledRef.current;
-        const recordedDuration = startTimeRef.current
-          ? (Date.now() - startTimeRef.current) / 1000
-          : undefined;
-
-        const webmBlob = new Blob(chunksRef.current, { type: 'audio/webm' });
-
-        // Stop all tracks now that we have the data
-        streamRef.current?.getTracks().forEach((track) => {
+      warmStreamRef.current = null;
+    }
+    const gen = acquireGenRef.current;
+    const acquisition = (async () => {
+      await assertMediaDevices();
+      const stream = await navigator.mediaDevices.getUserMedia({
+        audio: AUDIO_CONSTRAINTS,
+      });
+      // Released / disabled / unmounted while acquiring — this stream is stale,
+      // so stop it instead of leaving a live mic open, and abort the caller.
+      if (gen !== acquireGenRef.current) {
+        stream.getTracks().forEach((track) => {
           track.stop();
         });
-        streamRef.current = null;
+        throw new Error('microphone acquisition aborted');
+      }
+      if (keepWarm) warmStreamRef.current = stream;
+      return stream;
+    })();
+    acquiringRef.current = acquisition;
+    try {
+      return await acquisition;
+    } finally {
+      if (acquiringRef.current === acquisition) acquiringRef.current = null;
+    }
+  }, [assertMediaDevices, keepWarm]);
 
-        // Don't fire completion callback if the recording was cancelled
-        if (wasCancelled) return;
+  /**
+   * Open the microphone ahead of the first recording so the initial dictation
+   * doesn't clip. No-op unless ``keepWarm`` is set. Safe to call repeatedly and
+   * safe to fail (e.g. permission not yet granted) — ``startRecording`` still
+   * surfaces a real error if capture is genuinely unavailable.
+   */
+  const prewarm = useCallback(async () => {
+    if (!keepWarm) return;
+    try {
+      await acquireStream();
+    } catch {
+      // Permission missing / device busy / aborted — recording will report a
+      // real error if capture is genuinely unavailable.
+    }
+  }, [keepWarm, acquireStream]);
 
-        // Convert to WAV format to avoid needing ffmpeg on backend
-        try {
-          const wavBlob = await convertToWav(webmBlob);
-          onRecordingComplete?.(wavBlob, recordedDuration);
-        } catch (err) {
-          console.error('Error converting audio to WAV:', err);
-          // Fallback to original blob if conversion fails
-          onRecordingComplete?.(webmBlob, recordedDuration);
+  const startRecording = useCallback(
+    async (context?: unknown) => {
+      // A second chord can arrive while the first one is still waiting on
+      // getUserMedia. Never create overlapping MediaRecorders on the same
+      // coalesced stream; the original take will honor any deferred stop.
+      if (
+        startingRef.current ||
+        finishingRef.current ||
+        mediaRecorderRef.current?.state === 'recording'
+      )
+        return;
+      startingRef.current = true;
+      pendingStopRef.current = false;
+      // A new recording supersedes any release deferred from a prior take.
+      releaseAfterStopRef.current = false;
+      const recordingId = ++recordingCounterRef.current;
+      try {
+        setError(null);
+        chunksRef.current = [];
+        cancelledRef.current = false;
+        setDuration(0);
+
+        // Reuse the warm stream when present (instant); otherwise open one now.
+        const stream = await acquireStream();
+        streamRef.current = stream;
+
+        // Create MediaRecorder with preferred MIME type
+        const options: MediaRecorderOptions = {
+          mimeType: 'audio/webm;codecs=opus',
+        };
+
+        // Fallback to default if webm not supported
+        if (!MediaRecorder.isTypeSupported(options.mimeType!)) {
+          delete options.mimeType;
         }
-      };
 
-      mediaRecorder.onerror = (event) => {
-        setError('Recording error occurred');
-        console.error('MediaRecorder error:', event);
-      };
+        const mediaRecorder = new MediaRecorder(stream, options);
+        mediaRecorderRef.current = mediaRecorder;
 
-      // WebKit's MediaRecorder drops the WebM EBML header from chunks when
-      // started with a timeslice, so concatenated blobs fail to parse in
-      // both AudioContext and ffmpeg. Starting with no timeslice produces
-      // exactly one dataavailable on stop() with a valid container.
-      mediaRecorder.start();
-      setIsRecording(true);
-      startTimeRef.current = Date.now();
+        mediaRecorder.ondataavailable = (event) => {
+          if (event.data.size > 0) {
+            chunksRef.current.push(event.data);
+          }
+        };
 
-      // Start timer
-      timerRef.current = window.setInterval(() => {
-        if (startTimeRef.current) {
-          const elapsed = (Date.now() - startTimeRef.current) / 1000;
-          setDuration(elapsed);
+        mediaRecorder.onstop = async () => {
+          // Whether this recorder is still the active one. A stale onstop (an
+          // older recorder stopping after a newer startRecording) must not touch
+          // the shared stream refs.
+          const isCurrent = recordingCounterRef.current === recordingId;
+          // Snapshot the cancellation flag and recorded duration immediately —
+          // cancelRecording() clears chunks and sets cancelledRef synchronously
+          // before this async handler runs, so we must check it first.
+          const wasCancelled = cancelledRef.current;
+          const recordedDuration = startTimeRef.current
+            ? (Date.now() - startTimeRef.current) / 1000
+            : undefined;
 
-          // Auto-stop at max duration when the caller opts in — dictation
-          // sessions pass undefined and run until the user releases the
-          // chord or hits stop; voice-clone sample recorders pass 29s to
-          // keep reference clips short.
-          if (maxDurationSeconds !== undefined && elapsed >= maxDurationSeconds) {
-            if (mediaRecorderRef.current && mediaRecorderRef.current.state !== 'inactive') {
-              mediaRecorderRef.current.stop();
-              setIsRecording(false);
-              if (timerRef.current !== null) {
-                clearInterval(timerRef.current);
-                timerRef.current = null;
+          const webmBlob = new Blob(chunksRef.current, { type: 'audio/webm' });
+
+          // Release the device unless we're keeping it warm for the next capture.
+          // Act on this recorder's own stream; only touch the shared refs when
+          // this is still the current recording.
+          if (keepWarm) {
+            if (isCurrent) {
+              streamRef.current = null;
+              // A release requested mid-recording (dictation disabled) is
+              // honored now that capture has finished; otherwise the warm
+              // stream stays open for the next take.
+              if (releaseAfterStopRef.current) {
+                releaseAfterStopRef.current = false;
+                releaseWarmStream();
+              }
+            }
+          } else {
+            stream.getTracks().forEach((track) => {
+              track.stop();
+            });
+            if (isCurrent) streamRef.current = null;
+          }
+
+          // All shared per-take refs have now been snapshotted and stream
+          // cleanup is complete. A new take may begin while WAV conversion and
+          // upload continue using the local values above.
+          finishingRef.current = false;
+
+          // Don't fire completion callback if the recording was cancelled
+          if (wasCancelled) return;
+
+          // Convert to WAV format to avoid needing ffmpeg on backend
+          try {
+            const wavBlob = await convertToWav(webmBlob);
+            onRecordingComplete?.(wavBlob, recordedDuration, context);
+          } catch (err) {
+            console.error('Error converting audio to WAV:', err);
+            // Fallback to original blob if conversion fails
+            onRecordingComplete?.(webmBlob, recordedDuration, context);
+          }
+        };
+
+        mediaRecorder.onerror = (event) => {
+          setError('Recording error occurred');
+          console.error('MediaRecorder error:', event);
+        };
+
+        // WebKit's MediaRecorder drops the WebM EBML header from chunks when
+        // started with a timeslice, so concatenated blobs fail to parse in
+        // both AudioContext and ffmpeg. Starting with no timeslice produces
+        // exactly one dataavailable on stop() with a valid container.
+        mediaRecorder.start();
+        setRecording(true);
+        startTimeRef.current = Date.now();
+        startingRef.current = false;
+
+        // A stop (chord release) that landed while the mic was still opening —
+        // honor it now that capture has actually begun.
+        if (pendingStopRef.current) {
+          pendingStopRef.current = false;
+          finishingRef.current = true;
+          mediaRecorder.stop();
+          setRecording(false);
+          return;
+        }
+
+        // Start timer
+        timerRef.current = window.setInterval(() => {
+          if (startTimeRef.current) {
+            const elapsed = (Date.now() - startTimeRef.current) / 1000;
+            setDuration(elapsed);
+
+            // Auto-stop at max duration when the caller opts in — dictation
+            // sessions pass undefined and run until the user releases the
+            // chord or hits stop; voice-clone sample recorders pass 29s to
+            // keep reference clips short.
+            if (maxDurationSeconds !== undefined && elapsed >= maxDurationSeconds) {
+              if (mediaRecorderRef.current && mediaRecorderRef.current.state !== 'inactive') {
+                finishingRef.current = true;
+                mediaRecorderRef.current.stop();
+                setRecording(false);
+                if (timerRef.current !== null) {
+                  clearInterval(timerRef.current);
+                  timerRef.current = null;
+                }
               }
             }
           }
+        }, 100);
+      } catch (err) {
+        const errorMessage =
+          err instanceof Error
+            ? err.message
+            : 'Failed to access microphone. Please check permissions.';
+        // A fresh (non-warm) stream opened before the failure must be released
+        // so the mic doesn't stay lit; a warm stream is reusable, so it's kept.
+        if (!keepWarm) {
+          streamRef.current?.getTracks().forEach((track) => {
+            track.stop();
+          });
+          streamRef.current = null;
         }
-      }, 100);
-    } catch (err) {
-      const errorMessage =
-        err instanceof Error
-          ? err.message
-          : 'Failed to access microphone. Please check permissions.';
-      setError(errorMessage);
-      setIsRecording(false);
-    }
-  }, [maxDurationSeconds, onRecordingComplete]);
+        startingRef.current = false;
+        finishingRef.current = false;
+        pendingStopRef.current = false;
+        setError(errorMessage);
+        setRecording(false);
+      }
+    },
+    [
+      maxDurationSeconds,
+      onRecordingComplete,
+      acquireStream,
+      keepWarm,
+      releaseWarmStream,
+      setRecording,
+    ],
+  );
 
   const stopRecording = useCallback(() => {
-    if (mediaRecorderRef.current && isRecording) {
-      mediaRecorderRef.current.stop();
-      setIsRecording(false);
+    // The recorder's own state is the lifecycle authority — React ``isRecording``
+    // lags a render behind ``mediaRecorder.start()``, so a chord release in that
+    // window would otherwise be dropped.
+    const recorder = mediaRecorderRef.current;
+    if (recorder && recorder.state === 'recording') {
+      finishingRef.current = true;
+      recorder.stop();
+      setRecording(false);
 
       if (timerRef.current !== null) {
         clearInterval(timerRef.current);
         timerRef.current = null;
       }
+    } else if (startingRef.current) {
+      // Stop arrived before capture began (mic still opening) — defer it so
+      // startRecording stops as soon as the recorder goes live.
+      pendingStopRef.current = true;
     }
-  }, [isRecording]);
+  }, [setRecording]);
 
   const cancelRecording = useCallback(() => {
-    if (mediaRecorderRef.current) {
-      cancelledRef.current = true; // Must be set before stop() triggers onstop
+    cancelledRef.current = true; // Must be set before stop() triggers onstop
+    const recorder = mediaRecorderRef.current;
+    if (recorder && recorder.state !== 'inactive') {
       chunksRef.current = [];
-      mediaRecorderRef.current.stop();
-      setIsRecording(false);
+      finishingRef.current = true;
+      recorder.stop();
+      setRecording(false);
       setDuration(0);
+    } else if (startingRef.current) {
+      // Cancel during mic acquisition — stop as soon as capture begins; the
+      // cancelled flag suppresses the completion callback.
+      pendingStopRef.current = true;
     }
 
-    // Stop all tracks
-    streamRef.current?.getTracks().forEach((track) => {
-      track.stop();
-    });
-    streamRef.current = null;
+    // Keep the device warm for the next capture when opted in; otherwise stop
+    // the tracks so the mic is released immediately.
+    if (keepWarm) {
+      streamRef.current = null;
+      if (releaseAfterStopRef.current) {
+        releaseAfterStopRef.current = false;
+        releaseWarmStream();
+      }
+    } else {
+      streamRef.current?.getTracks().forEach((track) => {
+        track.stop();
+      });
+      streamRef.current = null;
+    }
 
     if (timerRef.current !== null) {
       clearInterval(timerRef.current);
       timerRef.current = null;
     }
-  }, []);
+  }, [keepWarm, releaseWarmStream, setRecording]);
 
-  // Cleanup on unmount
+  // Cleanup on unmount — always fully release the device, warm or not.
   useEffect(() => {
     return () => {
+      // Invalidate any in-flight acquisition so a stream resolving after unmount
+      // stops itself instead of leaking a live mic.
+      acquireGenRef.current += 1;
       if (timerRef.current !== null) {
         clearInterval(timerRef.current);
       }
       streamRef.current?.getTracks().forEach((track) => {
         track.stop();
       });
+      warmStreamRef.current?.getTracks().forEach((track) => {
+        track.stop();
+      });
     };
   }, []);
 
@@ -216,5 +446,7 @@ export function useAudioRecording({
     startRecording,
     stopRecording,
     cancelRecording,
+    prewarm,
+    releaseWarm: releaseWarmStream,
   };
 }

app/src/lib/hooks/useCaptureRecordingSession.ts

@@ -54,11 +54,15 @@ const SHORT_RECORDING_MESSAGE = 'Recording too short, canceled';
 export type CapturePillState = PillState | 'hidden';
 
 export interface UseCaptureRecordingSessionOptions {
+  /** Keep the microphone stream open between dictations when explicitly
+   * enabled. Off by default so normal recorders release the device. */
+  keepMicWarm?: boolean;
   /**
    * Fired after a capture row is created on the server. Callers can use this
    * to select the new capture or emit a Tauri event to a sibling window.
+   * ``context`` is whatever was passed to ``startRecording`` for this take.
    */
-  onCaptureCreated?: (capture: CaptureResponse) => void;
+  onCaptureCreated?: (capture: CaptureResponse, context?: unknown) => void;
   /**
    * Fired with the final delivered text — refined if ``auto_refine`` was on
    * for this capture, raw transcript otherwise. Used by the floating
@@ -66,12 +70,14 @@ export interface UseCaptureRecordingSessionOptions {
    *
    * ``allowAutoPaste`` snapshots the setting at chord-start so a refine that
    * lands after the user flips the toggle still uses the value the capture
-   * was created under.
+   * was created under. ``context`` is the value passed to ``startRecording``
+   * for this take, so overlapping dictations can't cross their targets.
    */
   onFinalText?: (
     text: string,
     capture: CaptureResponse,
     allowAutoPaste: boolean,
+    context?: unknown,
   ) => void;
 }
 
@@ -82,12 +88,14 @@ export interface UseCaptureRecordingSessionResult {
   isRecording: boolean;
   isUploading: boolean;
   isRefining: boolean;
-  startRecording: () => void;
+  startRecording: (context?: unknown) => void;
   stopRecording: () => void;
   toggleRecording: () => void;
   dismissError: () => void;
   uploadFile: (file: File, source: CaptureSource) => void;
   refine: (captureId: string) => void;
+  prewarm: () => Promise<void>;
+  releaseWarm: () => void;
 }
 
 /**
@@ -123,10 +131,13 @@ export function useCaptureRecordingSession(
   const onFinalTextRef = useRef(options.onFinalText);
   onFinalTextRef.current = options.onFinalText;
 
-  // Snapshot of ``allow_auto_paste`` from the capture-create response —
-  // held so the refine onSuccess (which only sees the plain CaptureResponse)
-  // can still pass the original setting through to onFinalText.
-  const allowAutoPasteRef = useRef<boolean>(true);
+  // Per-capture recording context and its ``allow_auto_paste`` snapshot, keyed
+  // by capture id so a refine that resolves after another dictation started
+  // still delivers to the right target with the setting the capture was created
+  // under. Populated on capture-create and consumed once the final text lands.
+  const captureDeliveryRef = useRef<Map<string, { context: unknown; allowAutoPaste: boolean }>>(
+    new Map(),
+  );
 
   const clearRestTimer = useCallback(() => {
     if (restTimerRef.current !== null) {
@@ -192,20 +203,34 @@ export function useCaptureRecordingSession(
       queryClient.invalidateQueries({ queryKey: ['captures'] });
       broadcastUpdated(captureId);
       if (pillStateRef.current === 'refining') scheduleHidePill();
+      const delivery = captureDeliveryRef.current.get(captureId);
+      captureDeliveryRef.current.delete(captureId);
       const finalText = data.transcript_refined ?? data.transcript_raw;
       if (finalText) {
-        onFinalTextRef.current?.(finalText, data, allowAutoPasteRef.current);
+        onFinalTextRef.current?.(
+          finalText,
+          data,
+          delivery?.allowAutoPaste ?? true,
+          delivery?.context,
+        );
       }
     },
-    onError: (err: Error) => {
+    onError: (err: Error, captureId) => {
+      captureDeliveryRef.current.delete(captureId);
       showError(err.message || 'Refinement failed');
     },
   });
 
   const uploadMutation = useMutation({
-    mutationFn: async ({ file, source }: { file: File; source: CaptureSource }) =>
-      apiClient.createCapture(file, { source }),
-    onSuccess: (capture) => {
+    mutationFn: async ({
+      file,
+      source,
+    }: {
+      file: File;
+      source: CaptureSource;
+      context?: unknown;
+    }) => apiClient.createCapture(file, { source }),
+    onSuccess: (capture, { context }) => {
       queryClient.setQueryData<CaptureListResponse>(['captures'], (prev) => {
         if (!prev) return prev;
         if (prev.items.some((c) => c.id === capture.id)) return prev;
@@ -213,9 +238,12 @@ export function useCaptureRecordingSession(
       });
       queryClient.invalidateQueries({ queryKey: ['captures'] });
       broadcastCreated(capture);
-      onCaptureCreatedRef.current?.(capture);
-      allowAutoPasteRef.current = capture.allow_auto_paste;
+      onCaptureCreatedRef.current?.(capture, context);
       if (capture.auto_refine) {
+        captureDeliveryRef.current.set(capture.id, {
+          context,
+          allowAutoPaste: capture.allow_auto_paste,
+        });
         setPillState('refining');
         refineMutation.mutate(capture.id);
       } else {
@@ -225,6 +253,7 @@ export function useCaptureRecordingSession(
             capture.transcript_raw,
             capture,
             capture.allow_auto_paste,
+            context,
           );
         }
       }
@@ -249,8 +278,11 @@ export function useCaptureRecordingSession(
     startRecording: beginAudioRecording,
     stopRecording,
     error: recordError,
+    prewarm,
+    releaseWarm,
   } = useAudioRecording({
-    onRecordingComplete: (blob, recordedDuration) => {
+    keepWarm: options.keepMicWarm ?? false,
+    onRecordingComplete: (blob, recordedDuration, context) => {
       // Trigger-happy tap — MediaRecorder hasn't emitted a usable chunk yet
       // so the blob is empty or unparseable. Surface it as a transient pill
       // so the user sees their recording was recognised and canceled.
@@ -268,7 +300,7 @@ export function useCaptureRecordingSession(
       const file = new File([blob], `dictation-${Date.now()}.${extension}`, {
         type: blob.type,
       });
-      uploadMutation.mutate({ file, source: 'dictation' });
+      uploadMutation.mutate({ file, source: 'dictation', context });
     },
   });
 
@@ -278,13 +310,16 @@ export function useCaptureRecordingSession(
     }
   }, [recordError, showError]);
 
-  const startRecording = useCallback(() => {
-    if (isRecording) return;
-    clearRestTimer();
-    setFrozenElapsedMs(0);
-    setPillState('recording');
-    beginAudioRecording();
-  }, [isRecording, beginAudioRecording, clearRestTimer]);
+  const startRecording = useCallback(
+    (context?: unknown) => {
+      if (isRecording) return;
+      clearRestTimer();
+      setFrozenElapsedMs(0);
+      setPillState('recording');
+      beginAudioRecording(context);
+    },
+    [isRecording, beginAudioRecording, clearRestTimer],
+  );
 
   const toggleRecording = useCallback(() => {
     if (isRecording) {
@@ -324,5 +359,7 @@ export function useCaptureRecordingSession(
     dismissError,
     uploadFile,
     refine,
+    prewarm,
+    releaseWarm,
   };
 }

app/src/lib/hooks/useChordSync.ts

@@ -1,5 +1,6 @@
 import { invoke } from '@tauri-apps/api/core';
-import { useEffect } from 'react';
+import { emit, listen } from '@tauri-apps/api/event';
+import { useEffect, useRef } from 'react';
 import { useDictationReadiness } from '@/lib/hooks/useDictationReadiness';
 import { useCaptureSettings } from '@/lib/hooks/useSettings';
 import { usePlatform } from '@/platform/PlatformContext';
@@ -30,21 +31,45 @@ export function useChordSync() {
   const { settings } = useCaptureSettings();
   const { canRecord } = useDictationReadiness();
   const enabled = settings?.hotkey_enabled;
+  const keepMicWarm = settings?.keep_mic_warm;
   const pushKeys = settings?.chord_push_to_talk_keys;
   const toggleKeys = settings?.chord_toggle_to_talk_keys;
 
+  // Latest warm state, so the dictate window's mount-time request can be
+  // answered even between the dep-driven emits below.
+  const shouldWarmRef = useRef(false);
+
+  // The floating dictate window holds the mic warm ahead of the first chord to
+  // avoid clipping, but it's a separate webview with no view of settings. Mirror
+  // the decision to it: warm only when dictation is armed AND the user enabled
+  // "keep microphone ready". Gating here is what stops the always-mounted pill
+  // from opening the mic — or prompting for access — when the user hasn't asked.
+  useEffect(() => {
+    if (!platform.metadata.isTauri) return;
+    const unlisten = listen('dictate:warm-request', () => {
+      emit('dictate:warm', shouldWarmRef.current).catch(() => {});
+    });
+    return () => {
+      unlisten.then((fn) => fn()).catch(() => {});
+    };
+  }, [platform.metadata.isTauri]);
+
   useEffect(() => {
     if (!platform.metadata.isTauri) return;
     if (enabled === undefined || !pushKeys || !toggleKeys) return;
     const shouldArm = enabled && canRecord;
+    const shouldWarm = shouldArm && (keepMicWarm ?? false);
+    shouldWarmRef.current = shouldWarm;
     const command = shouldArm ? 'enable_hotkey' : 'disable_hotkey';
     const args = shouldArm ? { pushToTalk: pushKeys, toggleToTalk: toggleKeys } : {};
     invoke(command, args).catch((err) => {
       console.warn(`[chord-sync] ${command} failed:`, err);
     });
+    emit('dictate:warm', shouldWarm).catch(() => {});
   }, [
     platform.metadata.isTauri,
     enabled,
+    keepMicWarm,
     canRecord,
     // Stringify so a referentially-new array with the same content
     // doesn't fire a redundant invoke on every settings refetch.

app/src/lib/utils/format.ts

@@ -1,5 +1,5 @@
 import { formatDistance } from 'date-fns';
-import { ja, zhCN, zhTW } from 'date-fns/locale';
+import { es, fr, ja, zhCN, zhTW } from 'date-fns/locale';
 import i18n from '@/i18n';
 
 export function formatDuration(seconds: number): string {
@@ -10,12 +10,16 @@ export function formatDuration(seconds: number): string {
 
 function getDateLocale() {
   switch (i18n.language) {
+    case 'es':
+      return es;
     case 'ja':
       return ja;
     case 'zh-CN':
       return zhCN;
     case 'zh-TW':
       return zhTW;
+    case 'fr':
+      return fr;
     default:
       return undefined;
   }

app/src/platform/types.ts

@@ -60,6 +60,7 @@ export interface PlatformLifecycle {
   stopServer(): Promise<void>;
   restartServer(modelsDir?: string | null): Promise<string>;
   setKeepServerRunning(keep: boolean): Promise<void>;
+  setBackendOverride(backend?: string | null): Promise<void>;
   setupWindowCloseHandler(): Promise<void>;
   subscribeToServerLogs(callback: (entry: ServerLogEntry) => void): () => void;
   onServerReady?: () => void;

backend/app.py

@@ -3,6 +3,8 @@
 import asyncio
 import logging
 import os
+import re
+import subprocess
 import sys
 from contextlib import asynccontextmanager
 from pathlib import Path
@@ -36,9 +38,67 @@ logging.basicConfig(
 
 logger = logging.getLogger(__name__)
 
-# AMD GPU environment variables must be set before torch import
+# An empty HSA_OVERRIDE_GFX_VERSION poisons the ROCm HSA runtime. It is
+# treated as "force-empty" and no GPU is detected, even natively supported
+# ones (e.g. gfx1201 / RX 9070 on ROCm 7.2). docker-compose can't
+# conditionally omit an env var, so we clean it up here before torch loads.
 if not os.environ.get("HSA_OVERRIDE_GFX_VERSION"):
-    os.environ["HSA_OVERRIDE_GFX_VERSION"] = "10.3.0"
+    os.environ.pop("HSA_OVERRIDE_GFX_VERSION", None)
+
+# AMD GPU environment variables must be set before torch import
+# Only set HSA_OVERRIDE_GFX_VERSION for older GPUs that need it.
+# RDNA 3+ (gfx1100+) and RDNA 4 (gfx1200+) are natively supported by ROCm
+# and the override can cause suboptimal performance or errors.
+if not os.environ.get("HSA_OVERRIDE_GFX_VERSION"):
+    try:
+        result = subprocess.run(
+            ["rocminfo"],
+            capture_output=True,
+            text=True,
+            timeout=5,
+        )
+        if result.returncode == 0:
+            # Collect all GPUs found in rocminfo output
+            gfx_versions = []
+            for line in result.stdout.splitlines():
+                line_lower = line.lower()
+                if "gfx" in line_lower:
+                    match = re.search(r"(gfx\d+)", line_lower)
+                    if match:
+                        gfx_versions.append(match.group(1))
+
+            if gfx_versions:
+                # Check if any GPU needs the override (RDNA 2 and older)
+                # Use the oldest GPU (lowest gfx number) for the decision
+                try:
+                    gfx_nums = []
+                    for v in gfx_versions:
+                        m = re.search(r"\d+", v)
+                        if m:
+                            gfx_nums.append(int(m.group()))
+                    if gfx_nums:
+                        oldest_num = min(gfx_nums)
+                        oldest_gfx = gfx_versions[gfx_nums.index(oldest_num)]
+                        if oldest_num < 1100:
+                            os.environ["HSA_OVERRIDE_GFX_VERSION"] = "10.3.0"
+                            logger.info(
+                                "AMD GPU detected (%s), setting HSA_OVERRIDE_GFX_VERSION=10.3.0 for compatibility. All GPUs: %s",
+                                oldest_gfx,
+                                ", ".join(gfx_versions),
+                            )
+                        else:
+                            logger.info(
+                                "AMD GPU detected (%s), native ROCm support available, skipping HSA_OVERRIDE_GFX_VERSION. All GPUs: %s",
+                                oldest_gfx,
+                                ", ".join(gfx_versions),
+                            )
+                except (ValueError, AttributeError) as e:
+                    logger.info("Could not parse GPU version from rocminfo output: %s", e)
+    except (FileNotFoundError, subprocess.TimeoutExpired, Exception) as e:
+        logger.info(
+            "Could not detect AMD GPU via rocminfo, skipping automatic HSA_OVERRIDE_GFX_VERSION configuration: %s",
+            e,
+        )
 if not os.environ.get("MIOPEN_LOG_LEVEL"):
     os.environ["MIOPEN_LOG_LEVEL"] = "4"
 
@@ -273,8 +333,10 @@ async def _run_startup(application: FastAPI) -> None:
         logger.warning("GPU COMPATIBILITY: %s", _cuda_warning)
 
     from .services.cuda import check_and_update_cuda_binary
+    from .services.rocm import check_and_update_rocm_binary
 
     create_background_task(check_and_update_cuda_binary())
+    create_background_task(check_and_update_rocm_binary())
 
     try:
         progress_manager = get_progress_manager()
@@ -298,15 +360,15 @@ async def _run_shutdown() -> None:
     """Unload models on lifespan exit."""
     logger.info("Voicebox server shutting down...")
     try:
-        tts.unload_tts_model()
+        await tts.unload_tts_model()
     except Exception:
         logger.exception("Failed to unload TTS model")
     try:
-        transcribe.unload_whisper_model()
+        await transcribe.unload_whisper_model()
     except Exception:
         logger.exception("Failed to unload Whisper model")
     try:
-        llm.unload_llm_model()
+        await llm.unload_llm_model()
     except Exception:
         logger.exception("Failed to unload LLM model")
 

backend/backends/__init__.py

@@ -547,7 +547,21 @@ async def ensure_model_cached_or_raise(engine: str, model_size: str = "default")
             )
 
 
-def unload_model_by_config(config: ModelConfig) -> bool:
+async def unload_backend(backend) -> None:
+    """Free a backend's model, serialized onto the MLX worker when it has one.
+
+    MLX backends expose an async ``unload`` that runs the free on the dedicated
+    MLX thread so it can't collide with an in-flight load/generate. Other
+    backends only carry the synchronous ``unload_model``.
+    """
+    unload = getattr(backend, "unload", None)
+    if unload is not None:
+        await unload()
+    else:
+        backend.unload_model()
+
+
+async def unload_model_by_config(config: ModelConfig) -> bool:
     """Unload a model given its config. Returns True if it was loaded, False otherwise."""
     from . import get_tts_backend_for_engine
     from ..services import tts, transcribe, llm as llm_service
@@ -555,7 +569,7 @@ def unload_model_by_config(config: ModelConfig) -> bool:
     if config.engine == "whisper":
         whisper_model = transcribe.get_whisper_model()
         if whisper_model.is_loaded() and whisper_model.model_size == config.model_size:
-            transcribe.unload_whisper_model()
+            await unload_backend(whisper_model)
             return True
         return False
 
@@ -563,7 +577,7 @@ def unload_model_by_config(config: ModelConfig) -> bool:
         backend = llm_service.get_llm_model()
         loaded_size = getattr(backend, "_current_model_size", None) or getattr(backend, "model_size", None)
         if backend.is_loaded() and loaded_size == config.model_size:
-            backend.unload_model()
+            await unload_backend(backend)
             return True
         return False
 
@@ -571,7 +585,7 @@ def unload_model_by_config(config: ModelConfig) -> bool:
         tts_model = tts.get_tts_model()
         loaded_size = getattr(tts_model, "_current_model_size", None) or getattr(tts_model, "model_size", None)
         if tts_model.is_loaded() and loaded_size == config.model_size:
-            tts.unload_tts_model()
+            await unload_backend(tts_model)
             return True
         return False
 
@@ -579,14 +593,14 @@ def unload_model_by_config(config: ModelConfig) -> bool:
         backend = get_tts_backend_for_engine(config.engine)
         loaded_size = getattr(backend, "_current_model_size", None) or getattr(backend, "model_size", None)
         if backend.is_loaded() and loaded_size == config.model_size:
-            backend.unload_model()
+            await unload_backend(backend)
             return True
         return False
 
     # All other TTS engines
     backend = get_tts_backend_for_engine(config.engine)
     if backend.is_loaded():
-        backend.unload_model()
+        await unload_backend(backend)
         return True
     return False
 

backend/backends/base.py

@@ -138,6 +138,11 @@ def check_cuda_compatibility() -> tuple[bool, str | None]:
     if not torch.cuda.is_available():
         return True, None
 
+    # ROCm/HIP uses the cuda frontend but has different architecture names (gfx*).
+    # Skip NVIDIA-specific compute capability checks on AMD hardware.
+    if hasattr(torch.version, "hip") and torch.version.hip:
+        return True, None
+
     major, minor = torch.cuda.get_device_capability(0)
     capability = f"{major}.{minor}"
     device_name = torch.cuda.get_device_name(0)

backend/backends/hume_backend.py

@@ -146,7 +146,15 @@ class HumeTadaBackend:
             )
 
             # Determine dtype — use bf16 on CUDA/XPU for ~50% memory savings
-            if device == "cuda" and torch.cuda.is_bf16_supported():
+            # On ROCm/AMD, torch.cuda.is_bf16_supported() works via the HIP abstraction,
+            # but we wrap it defensively in case an older build lacks the symbol.
+            _bf16_ok = False
+            if device == "cuda":
+                try:
+                    _bf16_ok = torch.cuda.is_bf16_supported()
+                except Exception:
+                    _bf16_ok = False
+            if _bf16_ok:
                 model_dtype = torch.bfloat16
             elif device == "xpu":
                 # Intel Arc (Alchemist+) supports bf16 natively

backend/backends/kokoro_backend.py

@@ -96,11 +96,16 @@ KOKORO_VOICES = [
     ("pf_dora", "Dora", "female", "pt"),
     ("pm_alex", "Alex", "male", "pt"),
     ("pm_santa", "Santa", "male", "pt"),
-    # Chinese
+    # Chinese female
     ("zf_xiaobei", "Xiaobei", "female", "zh"),
     ("zf_xiaoni", "Xiaoni", "female", "zh"),
     ("zf_xiaoxiao", "Xiaoxiao", "female", "zh"),
     ("zf_xiaoyi", "Xiaoyi", "female", "zh"),
+    # Chinese male
+    ("zm_yunjian", "Yunjian", "male", "zh"),
+    ("zm_yunxi", "Yunxi", "male", "zh"),
+    ("zm_yunxia", "Yunxia", "male", "zh"),
+    ("zm_yunyang", "Yunyang", "male", "zh"),
 ]
 
 # Map our ISO language codes to Kokoro lang_code characters

backend/backends/mlx_backend.py

@@ -3,7 +3,6 @@ MLX backend implementation for TTS and STT using mlx-audio.
 """
 
 from typing import Optional, List, Tuple
-import asyncio
 import logging
 import numpy as np
 from pathlib import Path
@@ -19,6 +18,7 @@ ensure_original_qwen_config_cached()
 
 from . import TTSBackend, STTBackend, LANGUAGE_CODE_TO_NAME, WHISPER_HF_REPOS
 from .base import is_model_cached, combine_voice_prompts as _combine_voice_prompts, model_load_progress
+from ..services.mlx_thread import run_on_mlx_thread, clear_mlx_cache
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
 
 
@@ -63,6 +63,22 @@ class MLXTTSBackend:
             weight_extensions=(".safetensors", ".bin", ".npz"),
         )
 
+    def _ensure_loaded_sync(self, model_size: Optional[str]):
+        """Load the model if the requested size isn't already resident.
+
+        Runs on the MLX worker thread so it stays serialized with generation.
+        """
+        if model_size is None:
+            model_size = self.model_size
+
+        if self.model is not None and self._current_model_size == model_size:
+            return
+
+        if self.model is not None and self._current_model_size != model_size:
+            self.unload_model()
+
+        self._load_model_sync(model_size)
+
     async def load_model_async(self, model_size: Optional[str] = None):
         """
         Lazy load the MLX TTS model.
@@ -70,23 +86,15 @@ class MLXTTSBackend:
         Args:
             model_size: Model size to load (1.7B or 0.6B)
         """
-        if model_size is None:
-            model_size = self.model_size
-
-        # If already loaded with correct size, return
-        if self.model is not None and self._current_model_size == model_size:
-            return
-
-        # Unload existing model if different size requested
-        if self.model is not None and self._current_model_size != model_size:
-            self.unload_model()
-
-        # Run blocking load in thread pool
-        await asyncio.to_thread(self._load_model_sync, model_size)
+        await run_on_mlx_thread(self._ensure_loaded_sync, model_size)
 
     # Alias for compatibility
     load_model = load_model_async
 
+    async def unload(self):
+        """Free the model, serialized onto the MLX worker thread."""
+        await run_on_mlx_thread(self.unload_model)
+
     def _load_model_sync(self, model_size: str):
         """Synchronous model loading."""
         model_path = self._get_model_path(model_size)
@@ -110,6 +118,7 @@ class MLXTTSBackend:
             del self.model
             self.model = None
             self._current_model_size = None
+            clear_mlx_cache()
             logger.info("MLX TTS model unloaded")
 
     async def create_voice_prompt(
@@ -187,8 +196,6 @@ class MLXTTSBackend:
         Returns:
             Tuple of (audio_array, sample_rate)
         """
-        await self.load_model_async(None)
-
         logger.info("Generating audio for text: %s", text)
 
         def _generate_sync():
@@ -258,8 +265,13 @@ class MLXTTSBackend:
 
             return audio, sample_rate
 
-        # Run blocking inference in thread pool
-        audio, sample_rate = await asyncio.to_thread(_generate_sync)
+        # Load-if-needed and inference run as one job on the MLX worker so a
+        # concurrent unload or different-size load can't land between them.
+        def _load_and_generate():
+            self._ensure_loaded_sync(None)
+            return _generate_sync()
+
+        audio, sample_rate = await run_on_mlx_thread(_load_and_generate)
 
         return audio, sample_rate
 
@@ -279,12 +291,10 @@ class MLXSTTBackend:
         hf_repo = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
         return is_model_cached(hf_repo, weight_extensions=(".safetensors", ".bin", ".npz"))
 
-    async def load_model_async(self, model_size: Optional[str] = None):
-        """
-        Lazy load the MLX Whisper model.
+    def _ensure_loaded_sync(self, model_size: Optional[str]):
+        """Load the model if the requested size isn't already resident.
 
-        Args:
-            model_size: Model size (tiny, base, small, medium, large)
+        Runs on the MLX worker thread so it stays serialized with transcription.
         """
         if model_size is None:
             model_size = self.model_size
@@ -292,12 +302,24 @@ class MLXSTTBackend:
         if self.model is not None and self.model_size == model_size:
             return
 
-        # Run blocking load in thread pool
-        await asyncio.to_thread(self._load_model_sync, model_size)
+        self._load_model_sync(model_size)
+
+    async def load_model_async(self, model_size: Optional[str] = None):
+        """
+        Lazy load the MLX Whisper model.
+
+        Args:
+            model_size: Model size (tiny, base, small, medium, large)
+        """
+        await run_on_mlx_thread(self._ensure_loaded_sync, model_size)
 
     # Alias for compatibility
     load_model = load_model_async
 
+    async def unload(self):
+        """Free the model, serialized onto the MLX worker thread."""
+        await run_on_mlx_thread(self.unload_model)
+
     def _load_model_sync(self, model_size: str):
         """Synchronous model loading."""
         progress_model_name = f"whisper-{model_size}"
@@ -319,6 +341,7 @@ class MLXSTTBackend:
         if self.model is not None:
             del self.model
             self.model = None
+            clear_mlx_cache()
             logger.info("MLX Whisper model unloaded")
 
     async def transcribe(
@@ -338,8 +361,6 @@ class MLXSTTBackend:
         Returns:
             Transcribed text
         """
-        await self.load_model_async(model_size)
-
         def _transcribe_sync():
             """Run synchronous transcription in thread pool."""
             # MLX Whisper transcription using generate method
@@ -363,5 +384,10 @@ class MLXSTTBackend:
             else:
                 return str(result).strip()
 
-        # Run blocking transcription in thread pool
-        return await asyncio.to_thread(_transcribe_sync)
+        # Load-if-needed and transcription run as one job on the MLX worker so
+        # a concurrent unload or load can't land between them.
+        def _load_and_transcribe():
+            self._ensure_loaded_sync(model_size)
+            return _transcribe_sync()
+
+        return await run_on_mlx_thread(_load_and_transcribe)

backend/backends/qwen_llm_backend.py

@@ -19,7 +19,7 @@ from .base import (
     manual_seed,
     model_load_progress,
 )
-from ..utils.hf_offline_patch import force_offline_if_cached
+from ..services.mlx_thread import run_on_mlx_thread, clear_mlx_cache
 
 logger = logging.getLogger(__name__)
 
@@ -103,15 +103,19 @@ class PyTorchQwenLLMBackend:
 
         with model_load_progress(progress_model_name, is_cached):
             logger.info("Loading Qwen3 %s on %s...", model_size, self.device)
-            with force_offline_if_cached(is_cached, progress_model_name):
-                self.tokenizer = AutoTokenizer.from_pretrained(repo)
-                dtype = torch.float16 if self.device in ("cuda", "mps") else torch.float32
-                self.model = AutoModelForCausalLM.from_pretrained(
-                    repo,
-                    dtype=dtype,
-                )
-                self.model.to(self.device)
-                self.model.eval()
+            # Loads run with the process's default HF_HUB_OFFLINE state.
+            # Forcing offline for cached models flips process-global state
+            # and silently switches every concurrent download/load on other
+            # threads to offline mode (issue #841) — the same regression
+            # removed app-wide in #524/#530.
+            self.tokenizer = AutoTokenizer.from_pretrained(repo)
+            dtype = torch.float16 if self.device in ("cuda", "mps") else torch.float32
+            self.model = AutoModelForCausalLM.from_pretrained(
+                repo,
+                dtype=dtype,
+            )
+            self.model.to(self.device)
+            self.model.eval()
 
         self._current_model_size = model_size
         self.model_size = model_size
@@ -202,7 +206,11 @@ class MLXQwenLLMBackend:
             weight_extensions=(".safetensors", ".bin", ".npz"),
         )
 
-    async def load_model(self, model_size: Optional[str] = None) -> None:
+    def _ensure_loaded_sync(self, model_size: Optional[str]) -> None:
+        """Load the model if the requested size isn't already resident.
+
+        Runs on the MLX worker thread so it stays serialized with generation.
+        """
         if model_size is None:
             model_size = self.model_size
 
@@ -212,7 +220,14 @@ class MLXQwenLLMBackend:
         if self.model is not None and self._current_model_size != model_size:
             self.unload_model()
 
-        await asyncio.to_thread(self._load_model_sync, model_size)
+        self._load_model_sync(model_size)
+
+    async def load_model(self, model_size: Optional[str] = None) -> None:
+        await run_on_mlx_thread(self._ensure_loaded_sync, model_size)
+
+    async def unload(self) -> None:
+        """Free the model, serialized onto the MLX worker thread."""
+        await run_on_mlx_thread(self.unload_model)
 
     def _load_model_sync(self, model_size: str) -> None:
         from mlx_lm import load as mlx_load
@@ -223,8 +238,8 @@ class MLXQwenLLMBackend:
 
         with model_load_progress(progress_model_name, is_cached):
             logger.info("Loading Qwen3 %s via MLX...", model_size)
-            with force_offline_if_cached(is_cached, progress_model_name):
-                loaded = mlx_load(repo)
+            # See the PyTorch loader comment — no offline forcing (issue #841).
+            loaded = mlx_load(repo)
 
         # mlx_lm.load returns (model, tokenizer) by default and
         # (model, tokenizer, config) when return_config=True.
@@ -243,6 +258,7 @@ class MLXQwenLLMBackend:
         self.model = None
         self.tokenizer = None
         self._current_model_size = None
+        clear_mlx_cache()
         logger.info("Qwen3 (MLX) unloaded")
 
     async def generate(
@@ -254,10 +270,13 @@ class MLXQwenLLMBackend:
         model_size: Optional[str] = None,
         examples: Optional[list[tuple[str, str]]] = None,
     ) -> str:
-        await self.load_model(model_size)
-        return await asyncio.to_thread(
-            self._generate_sync, prompt, system, max_tokens, temperature, examples
-        )
+        # Load-if-needed and inference run as one job on the MLX worker so a
+        # concurrent unload or different-size load can't land between them.
+        def _load_and_generate() -> str:
+            self._ensure_loaded_sync(model_size)
+            return self._generate_sync(prompt, system, max_tokens, temperature, examples)
+
+        return await run_on_mlx_thread(_load_and_generate)
 
     def _generate_sync(
         self,

backend/build_binary.py

@@ -22,24 +22,34 @@ def is_apple_silicon():
     return platform.system() == "Darwin" and platform.machine() == "arm64"
 
 
-def build_server(cuda=False):
+def build_server(cuda=False, rocm=False):
     """Build Python server as standalone binary.
 
     Args:
         cuda: If True, build with CUDA support and name the binary
               voicebox-server-cuda instead of voicebox-server.
+        rocm: If True, build with ROCm support and name the binary
+              voicebox-server-rocm instead of voicebox-server.
     """
+    if cuda and rocm:
+        raise ValueError("Cannot build with both CUDA and ROCm support")
+
     backend_dir = Path(__file__).parent
 
-    binary_name = "voicebox-server-cuda" if cuda else "voicebox-server"
+    if rocm:
+        binary_name = "voicebox-server-rocm"
+    elif cuda:
+        binary_name = "voicebox-server-cuda"
+    else:
+        binary_name = "voicebox-server"
 
     # PyInstaller arguments
-    # CUDA builds use --onedir so we can split the output into two archives:
+    # CUDA and ROCm builds use --onedir so we can split the output into two archives:
     #   1. Server core (~200-400MB) — versioned with the app
-    #   2. CUDA libs (~2GB) — versioned independently (only redownloaded on
-    #      CUDA toolkit / torch major version changes)
+    #   2. GPU libs (~2GB) — versioned independently (only redownloaded on
+    #      GPU toolkit / torch major version changes)
     # CPU builds remain --onefile for simplicity.
-    pack_mode = "--onedir" if cuda else "--onefile"
+    pack_mode = "--onedir" if (cuda or rocm) else "--onefile"
     args = [
         "server.py",  # Use server.py as entry point instead of main.py
         pack_mode,
@@ -320,22 +330,77 @@ def build_server(cuda=False):
         ]
     )
 
-    # Add CUDA-specific hidden imports
-    if cuda:
-        logger.info("Building with CUDA support")
+    if sys.version_info >= (3, 13):
+        args.extend(["--hidden-import", "audioop"])
+
+    # Add CUDA/ROCm-specific hidden imports
+    if cuda or rocm:
+        variant = "ROCm" if rocm else "CUDA"
+        logger.info("Building with %s support", variant)
+        gpu_hidden = [
+            "--hidden-import",
+            "torch.cuda",
+        ]
+        # cudnn is NVIDIA-specific; ROCm uses MIOpen under the abstraction layer
+        if cuda:
+            gpu_hidden.extend(
+                [
+                    "--hidden-import",
+                    "torch.backends.cudnn",
+                ]
+            )
+        args.extend(gpu_hidden)
+
+    if rocm:
+        # rocm_sdk imports its backend packages dynamically via
+        # importlib.import_module(py_package_name), which PyInstaller's
+        # static analyzer cannot see. We must collect them explicitly —
+        # otherwise only the pure-python rocm_sdk wrapper ships and
+        # rocm_sdk.find_libraries crashes with UnboundLocalError at boot.
+        #
+        # The backend packages also contain the HIP/MIOpen/hipBLAS DLLs
+        # under bin/ (plus ~750 MB of tensile kernel files under
+        # bin/rocblas/library and bin/hipblaslt/library) — collect-all
+        # walks the tree recursively so both DLLs and kernel data are
+        # bundled. See rocm_sdk/_dist_info.py for the package mapping.
         args.extend(
             [
+                "--collect-all",
+                "rocm_sdk",
+                "--collect-all",
+                "_rocm_sdk_core",
+                "--collect-all",
+                "_rocm_sdk_libraries_custom",
+                "--collect-all",
+                "rocm_sdk_core",
+                "--collect-all",
+                "rocm_sdk_libraries_custom",
                 "--hidden-import",
-                "torch.cuda",
+                "_rocm_sdk_core",
                 "--hidden-import",
-                "torch.backends.cudnn",
+                "_rocm_sdk_libraries_custom",
+                "--hidden-import",
+                "rocm_sdk_core",
+                "--hidden-import",
+                "rocm_sdk_libraries_custom",
+                "--copy-metadata",
+                "rocm",
+                "--copy-metadata",
+                "rocm-sdk-core",
+                "--copy-metadata",
+                "rocm-sdk-libraries-custom",
+                # Repair rocm_sdk.find_libraries (masks UnboundLocalError
+                # with a readable ModuleNotFoundError on missing backends).
+                "--runtime-hook",
+                "pyi_rth_rocm_sdk.py",
             ]
         )
-    else:
-        # Exclude NVIDIA CUDA packages from CPU-only builds to keep binary small.
-        # When building from a venv with CUDA torch installed, PyInstaller would
-        # bundle ~3GB of NVIDIA shared libraries. We exclude both the Python
-        # modules and the binary DLLs.
+
+    # Exclude NVIDIA CUDA packages from non-CUDA builds to keep binary small.
+    # When building from a venv with CUDA torch installed, PyInstaller would
+    # bundle ~3GB of NVIDIA shared libraries. We exclude both the Python
+    # modules and the binary DLLs. This applies to CPU and ROCm builds.
+    if not cuda:
         nvidia_packages = [
             "nvidia",
             "nvidia.cublas",
@@ -354,8 +419,8 @@ def build_server(cuda=False):
         for pkg in nvidia_packages:
             args.extend(["--exclude-module", pkg])
 
-    # Add MLX-specific imports if building on Apple Silicon (never for CUDA builds)
-    if is_apple_silicon() and not cuda:
+    # Add MLX-specific imports if building on Apple Silicon (never for GPU builds)
+    if is_apple_silicon() and not cuda and not rocm:
         logger.info("Building for Apple Silicon - including MLX dependencies")
         args.extend(
             [
@@ -399,7 +464,7 @@ def build_server(cuda=False):
                 "mlx_lm",
             ]
         )
-    elif not cuda:
+    elif not cuda and not rocm:
         logger.info("Building for non-Apple Silicon platform - PyTorch only")
 
     dist_dir = str(backend_dir / "dist")
@@ -420,43 +485,128 @@ def build_server(cuda=False):
     os.chdir(backend_dir)
 
     # For CPU builds on Windows, ensure we're using CPU-only torch.
-    # If CUDA torch is installed (local dev), swap to CPU torch before building,
-    # then restore CUDA torch after. This prevents PyInstaller from bundling
-    # ~3GB of CUDA DLLs into the CPU binary.
-    restore_cuda = False
-    if not cuda and platform.system() == "Windows":
-        import subprocess
-
-        result = subprocess.run(
-            [sys.executable, "-c", "import torch; print(torch.version.cuda or '')"], capture_output=True, text=True
-        )
-        has_cuda_torch = bool(result.stdout.strip())
-        if has_cuda_torch:
-            logger.info("CUDA torch detected — installing CPU torch for CPU build...")
-            subprocess.run(
-                [
-                    sys.executable,
-                    "-m",
-                    "pip",
-                    "install",
-                    "torch",
-                    "torchvision",
-                    "torchaudio",
-                    "--index-url",
-                    "https://download.pytorch.org/whl/cpu",
-                    "--force-reinstall",
-                    "-q",
-                ],
-                check=True,
-            )
-            restore_cuda = True
-
-    # Run PyInstaller
+    # If CUDA or ROCm torch is installed (local dev), swap to CPU torch before
+    # building, then restore afterwards. This prevents PyInstaller from bundling
+    # GPU libraries into the CPU binary.
+    restore_torch = None
     try:
+        if not cuda and not rocm and platform.system() == "Windows":
+            import subprocess
+
+            cuda_result = subprocess.run(
+                [sys.executable, "-c", "import torch; print(torch.version.cuda or '')"], capture_output=True, text=True
+            )
+            rocm_result = subprocess.run(
+                [sys.executable, "-c", "import torch; print(torch.version.hip or '')"], capture_output=True, text=True
+            )
+
+            if cuda_result.stdout.strip():
+                restore_torch = "cuda"
+                logger.info("CUDA torch detected — installing CPU torch for CPU build...")
+                subprocess.run(
+                    [
+                        sys.executable,
+                        "-m",
+                        "pip",
+                        "install",
+                        "torch",
+                        "torchvision",
+                        "torchaudio",
+                        "--index-url",
+                        "https://download.pytorch.org/whl/cpu",
+                        "--force-reinstall",
+                        "--no-deps",
+                        "-q",
+                    ],
+                    check=True,
+                )
+            elif rocm_result.stdout.strip():
+                restore_torch = "rocm"
+                logger.info("ROCm torch detected — installing CPU torch for CPU build...")
+                subprocess.run(
+                    [
+                        sys.executable,
+                        "-m",
+                        "pip",
+                        "install",
+                        "torch",
+                        "torchvision",
+                        "torchaudio",
+                        "--index-url",
+                        "https://download.pytorch.org/whl/cpu",
+                        "--force-reinstall",
+                        "--no-deps",
+                        "-q",
+                    ],
+                    check=True,
+                )
+
+        # For ROCm builds on Windows, ensure ROCm torch is installed.
+        if rocm and platform.system() == "Windows":
+            import subprocess
+
+            if sys.implementation.name != "cpython" or sys.version_info[:2] != (3, 12):
+                raise RuntimeError(
+                    "ROCm wheels are cp312-cp312-specific; "
+                    f"got {sys.implementation.name} {sys.version.split()[0]}. "
+                    "Use CPython 3.12 to build the ROCm binary."
+                )
+
+            result = subprocess.run(
+                [sys.executable, "-c", "import torch; print(torch.version.hip or '')"], capture_output=True, text=True
+            )
+            has_rocm_torch = bool(result.stdout.strip())
+            if not has_rocm_torch:
+                logger.info("ROCm torch not detected — installing ROCm torch for ROCm build...")
+
+                # Determine what to restore BEFORE overwriting the environment
+                cuda_result = subprocess.run(
+                    [sys.executable, "-c", "import torch; print(torch.version.cuda or '')"],
+                    capture_output=True,
+                    text=True,
+                )
+                if cuda_result.stdout.strip():
+                    restore_torch = "cuda"
+                else:
+                    restore_torch = "cpu"
+
+                # Now overwrite the environment safely
+                subprocess.run(
+                    [
+                        sys.executable,
+                        "-m",
+                        "pip",
+                        "install",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_core-7.2.1-py3-none-win_amd64.whl",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_devel-7.2.1-py3-none-win_amd64.whl",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_libraries_custom-7.2.1-py3-none-win_amd64.whl",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm-7.2.1.tar.gz",
+                        "--no-deps",
+                        "-q",
+                    ],
+                    check=True,
+                )
+                subprocess.run(
+                    [
+                        sys.executable,
+                        "-m",
+                        "pip",
+                        "install",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torch-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchaudio-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                        "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchvision-0.24.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                        "--force-reinstall",
+                        "--no-deps",
+                        "-q",
+                    ],
+                    check=True,
+                )
+
+        # Run PyInstaller
         PyInstaller.__main__.run(args)
     finally:
-        # Restore CUDA torch if we swapped it out (even on build failure)
-        if restore_cuda:
+        # Restore torch if we swapped it out (even on build failure)
+        if restore_torch == "cuda":
             logger.info("Restoring CUDA torch...")
             import subprocess
 
@@ -472,10 +622,52 @@ def build_server(cuda=False):
                     "--index-url",
                     "https://download.pytorch.org/whl/cu128",
                     "--force-reinstall",
+                    "--no-deps",
                     "-q",
                 ],
                 check=True,
             )
+        elif restore_torch == "rocm":
+            logger.info("Restoring ROCm torch...")
+            import subprocess
+
+            subprocess.run(
+                [
+                    sys.executable,
+                    "-m",
+                    "pip",
+                    "install",
+                    "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torch-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                    "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchaudio-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                    "https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchvision-0.24.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl",
+                    "--force-reinstall",
+                    "--no-deps",
+                    "-q",
+                ],
+                check=True,
+            )
+        elif restore_torch == "cpu":
+            logger.info("Restoring CPU torch...")
+            import subprocess
+
+            subprocess.run(
+                [
+                    sys.executable,
+                    "-m",
+                    "pip",
+                    "install",
+                    "torch",
+                    "torchvision",
+                    "torchaudio",
+                    "--index-url",
+                    "https://download.pytorch.org/whl/cpu",
+                    "--force-reinstall",
+                    "--no-deps",
+                    "-q",
+                ],
+                check=True,
+            )
+
 
     logger.info("Binary built in %s", backend_dir / "dist" / binary_name)
 
@@ -577,6 +769,11 @@ if __name__ == "__main__":
         action="store_true",
         help="Build CUDA-enabled binary (voicebox-server-cuda)",
     )
+    parser.add_argument(
+        "--rocm",
+        action="store_true",
+        help="Build ROCm-enabled binary (voicebox-server-rocm) for AMD GPUs",
+    )
     parser.add_argument(
         "--shim",
         action="store_true",
@@ -586,4 +783,5 @@ if __name__ == "__main__":
     if cli_args.shim:
         build_shim()
     else:
-        build_server(cuda=cli_args.cuda)
+        build_server(cuda=cli_args.cuda, rocm=cli_args.rocm)
+

backend/config.py

@@ -80,6 +80,11 @@ def resolve_storage_path(path: str | Path | None) -> Path | None:
         return None
 
     stored_path = Path(path)
+    # Empty paths (e.g. failed generations) must not resolve to the data
+    # dir itself, which exists and would defeat the callers' 404 guards.
+    # Path("") is truthy, so check parts rather than the raw value.
+    if not stored_path.parts:
+        return None
     if stored_path.is_absolute():
         rebased_path = _path_relative_to_any_data_dir(stored_path)
         if rebased_path is not None:
@@ -138,3 +143,17 @@ def get_models_dir() -> Path:
     path = _data_dir / "models"
     path.mkdir(parents=True, exist_ok=True)
     return path
+
+
+# Voicebox Cloud (backup & sync). Two hosts: the web app owns auth + device
+# pairing (voicebox.sh), the API owns sync + account endpoints
+# (api.voicebox.sh). Override both for local development, e.g.
+# VOICEBOX_CLOUD_URL=http://localhost:17592 VOICEBOX_CLOUD_API_URL=http://localhost:17593
+def get_cloud_web_url() -> str:
+    """Base URL of the Voicebox Cloud web app (auth + /connect + exchange)."""
+    return os.environ.get("VOICEBOX_CLOUD_URL", "https://voicebox.sh").rstrip("/")
+
+
+def get_cloud_api_url() -> str:
+    """Base URL of the Voicebox Cloud API (bearer-authenticated sync/account)."""
+    return os.environ.get("VOICEBOX_CLOUD_API_URL", "https://api.voicebox.sh").rstrip("/")

backend/database/__init__.py

@@ -11,6 +11,7 @@ from .models import (
     Capture,
     CaptureSettings,
     ChannelDeviceMapping,
+    CloudSettings,
     EffectPreset,
     Generation,
     GenerationSettings,
@@ -32,6 +33,7 @@ __all__ = [
     "Capture",
     "CaptureSettings",
     "ChannelDeviceMapping",
+    "CloudSettings",
     "EffectPreset",
     "Generation",
     "GenerationSettings",

backend/database/migrations.py

@@ -243,6 +243,13 @@ def _migrate_capture_settings(engine, inspector, tables: set[str]) -> None:
             "hotkey_enabled BOOLEAN NOT NULL DEFAULT 0",
             "hotkey_enabled",
         )
+    if "keep_mic_warm" not in columns:
+        _add_column(
+            engine,
+            "capture_settings",
+            "keep_mic_warm BOOLEAN NOT NULL DEFAULT 0",
+            "keep_mic_warm",
+        )
 
 
 def _migrate_mcp_bindings(engine, inspector, tables: set[str]) -> None:

backend/database/models.py

@@ -210,6 +210,10 @@ class CaptureSettings(Base):
     # "Voicebox would like to receive keystrokes from any application" dialog
     # before they've even opened the Captures tab.
     hotkey_enabled = Column(Boolean, nullable=False, default=False)
+    # Hold the microphone open while dictation is enabled so push-to-talk
+    # doesn't clip the first words. Off by default — when on, the OS mic-in-use
+    # indicator stays lit the whole time dictation is enabled.
+    keep_mic_warm = Column(Boolean, nullable=False, default=False)
     # Lists of keytap key names (e.g. "MetaRight", "ControlRight"). Right-hand
     # modifiers by default so they don't collide with left-hand shortcuts.
     chord_push_to_talk_keys = Column(
@@ -234,6 +238,28 @@ class GenerationSettings(Base):
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
 
 
+class CloudSettings(Base):
+    """Singleton row holding the link to a Voicebox Cloud account.
+
+    Populated by the "Log in with browser" pairing flow (see services/cloud.py):
+    the browser hands back a one-time code, which the backend exchanges for an
+    ``api_key`` it stores here. The key is a bearer credential for
+    api.voicebox.sh — auth only, never an encryption key (E2E key material lives
+    elsewhere). Stored in the local app database alongside the user's other data;
+    moving it to the OS keychain is a future hardening step. The ``id`` is
+    always 1; a null ``api_key`` means "not connected".
+    """
+
+    __tablename__ = "cloud_settings"
+
+    id = Column(Integer, primary_key=True, default=1)
+    api_key = Column(String, nullable=True)
+    device_name = Column(String, nullable=True)
+    account_user_id = Column(String, nullable=True)
+    connected_at = Column(DateTime, nullable=True)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
+
+
 class MCPClientBinding(Base):
     """Per-MCP-client settings (voice profile, engine, personality default).
 

backend/models.py

@@ -258,6 +258,7 @@ class CaptureSettingsResponse(BaseModel):
     allow_auto_paste: bool = True
     default_playback_voice_id: Optional[str] = None
     hotkey_enabled: bool = False
+    keep_mic_warm: bool = False
     chord_push_to_talk_keys: List[str] = Field(
         default_factory=default_push_to_talk_chord
     )
@@ -282,6 +283,7 @@ class CaptureSettingsUpdate(BaseModel):
     allow_auto_paste: Optional[bool] = None
     default_playback_voice_id: Optional[str] = None
     hotkey_enabled: Optional[bool] = None
+    keep_mic_warm: Optional[bool] = None
     chord_push_to_talk_keys: Optional[List[str]] = Field(default=None, min_length=1, max_length=6)
     chord_toggle_to_talk_keys: Optional[List[str]] = Field(default=None, min_length=1, max_length=6)
 
@@ -442,7 +444,8 @@ class HealthResponse(BaseModel):
     gpu_type: Optional[str] = None  # GPU type (CUDA, MPS, or None)
     vram_used_mb: Optional[float] = None
     backend_type: Optional[str] = None  # Backend type (mlx or pytorch)
-    backend_variant: Optional[str] = None  # Binary variant (cpu or cuda)
+    backend_variant: Optional[str] = None  # Binary variant (cpu, cuda, or rocm)
+    supports_rocm: bool = False  # AMD GPU on Windows — the ROCm backend is applicable
     gpu_compatibility_warning: Optional[str] = None  # Warning if GPU arch unsupported
 
 
@@ -793,3 +796,24 @@ class AvailableEffectsResponse(BaseModel):
     """Response listing all available effect types."""
 
     effects: List[AvailableEffect]
+
+
+# ─── Cloud (backup & sync) ──────────────────────────────────────────────
+
+
+class CloudLoginStartResponse(BaseModel):
+    """Returned when the desktop kicks off browser login. The backend has
+    already opened the browser; the URL is included for fallback/debugging."""
+
+    authorize_url: str
+
+
+class CloudStatusResponse(BaseModel):
+    """Current link between this device and a Voicebox Cloud account."""
+
+    connected: bool
+    device_name: Optional[str] = None
+    account_user_id: Optional[str] = None
+    key_prefix: Optional[str] = None
+    connected_at: Optional[datetime] = None
+    dashboard_url: str

backend/pyi_rth_rocm_sdk.py

@@ -0,0 +1,85 @@
+"""
+Runtime hook: repair rocm_sdk.find_libraries under PyInstaller.
+
+rocm_sdk 7.2.x ships a find_libraries() with a latent bug: when the
+backend package (_rocm_sdk_core / _rocm_sdk_libraries_{target}) cannot
+be imported, the except clause records the miss but falls through to
+`py_root = Path(py_module.__file__).parent`, where py_module was never
+assigned. This surfaces as UnboundLocalError instead of the intended
+ModuleNotFoundError, masking the real cause.
+
+Frozen apps trip this because rocm_sdk imports the backend packages
+dynamically via importlib, which PyInstaller's static analyzer cannot
+see. We re-collect those packages in build_binary.py; this hook is
+defense-in-depth: it replaces find_libraries with a corrected version
+so any future missing-package case surfaces a readable error.
+"""
+
+
+def _patch_rocm_sdk():
+    try:
+        import rocm_sdk
+        from rocm_sdk import _dist_info
+    except ModuleNotFoundError as e:
+        if e.name not in {"rocm_sdk", "rocm_sdk._dist_info"}:
+            raise
+        return
+
+    import importlib
+    import platform
+    from pathlib import Path
+
+    def find_libraries(*shortnames):
+        paths = []
+        missing_extras = set()
+        is_windows = platform.system() == "Windows"
+        for shortname in shortnames:
+            try:
+                lib_entry = _dist_info.ALL_LIBRARIES[shortname]
+            except KeyError:
+                raise ModuleNotFoundError(f"Unknown rocm library '{shortname}'") from None
+
+            if is_windows and not lib_entry.dll_pattern:
+                continue
+
+            package = lib_entry.package
+            target_family = None
+            if package.is_target_specific:
+                target_family = _dist_info.determine_target_family()
+            py_package_name = package.get_py_package_name(target_family)
+            try:
+                py_module = importlib.import_module(py_package_name)
+            except ModuleNotFoundError as e:
+                if e.name != py_package_name:
+                    raise
+                missing_extras.add(package.logical_name)
+                continue
+
+            py_root = Path(py_module.__file__).parent
+            if is_windows:
+                relpath = py_root / lib_entry.windows_relpath
+                entry_pattern = lib_entry.dll_pattern
+            else:
+                relpath = py_root / lib_entry.posix_relpath
+                entry_pattern = lib_entry.so_pattern
+            matching_paths = sorted(relpath.glob(entry_pattern))
+            if len(matching_paths) == 0:
+                raise FileNotFoundError(
+                    f"Could not find rocm library '{shortname}' at path "
+                    f"'{relpath},' no match for pattern '{entry_pattern}'"
+                )
+            paths.append(matching_paths[0])
+
+        if missing_extras:
+            raise ModuleNotFoundError(
+                f"Missing required rocm backend packages: "
+                f"{', '.join(sorted(missing_extras))}. The frozen build did "
+                f"not bundle _rocm_sdk_core / _rocm_sdk_libraries_<target>. "
+                f"Check build_binary.py --collect-all flags."
+            )
+        return paths
+
+    rocm_sdk.find_libraries = find_libraries
+
+
+_patch_rocm_sdk()

backend/requirements-mlx.txt

@@ -16,7 +16,8 @@ miniaudio>=1.59
 # mlx_audio.stt.load) works fine on transformers 4.57.x in practice.
 #
 # Install it via `pip install --no-deps mlx-audio==0.4.1` after this file
-# (see .github/workflows/release.yml). Most other mlx-audio runtime deps
+# (see .github/workflows/release.yml and the setup-python recipe in the
+# justfile). Most other mlx-audio runtime deps
 # (huggingface_hub, librosa, mlx-lm, numba, numpy, protobuf, pyloudnorm,
 # sounddevice, tqdm) are already in requirements.txt or pulled in by
 # other engines.

backend/requirements-rocm.txt

@@ -0,0 +1,4 @@
+--extra-index-url https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/
+torch==2.9.1+rocm7.2.1
+torchaudio==2.9.1+rocm7.2.1
+torchvision==0.24.1+rocm7.2.1

backend/requirements.txt

@@ -53,6 +53,7 @@ en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_
 unidic-lite>=1.0.8
 
 # Audio processing
+audioop-lts>=0.2.1; python_version >= "3.13"
 librosa>=0.10.0
 soundfile>=0.12.0
 numpy>=1.24.0,<2.0

backend/routes/__init__.py

@@ -20,9 +20,11 @@ def register_routers(app: FastAPI) -> None:
     from .settings import router as settings_router
     from .tasks import router as tasks_router
     from .cuda import router as cuda_router
+    from .rocm import router as rocm_router
     from .speak import router as speak_router
     from .mcp_bindings import router as mcp_bindings_router
     from .events import router as events_router
+    from .cloud import router as cloud_router
 
     app.include_router(health_router)
     app.include_router(profiles_router)
@@ -39,6 +41,8 @@ def register_routers(app: FastAPI) -> None:
     app.include_router(settings_router)
     app.include_router(tasks_router)
     app.include_router(cuda_router)
+    app.include_router(rocm_router)
     app.include_router(speak_router)
     app.include_router(mcp_bindings_router)
     app.include_router(events_router)
+    app.include_router(cloud_router)

backend/routes/audio.py

@@ -34,7 +34,7 @@ async def get_version_audio(version_id: str, db: Session = Depends(get_db)):
         raise HTTPException(status_code=404, detail="Version not found")
 
     audio_path = config.resolve_storage_path(version.audio_path)
-    if audio_path is None or not audio_path.exists():
+    if audio_path is None or not audio_path.is_file():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     return FileResponse(
@@ -52,8 +52,13 @@ async def get_audio(generation_id: str, db: Session = Depends(get_db)):
         raise HTTPException(status_code=404, detail="Generation not found")
 
     audio_path = config.resolve_storage_path(generation.audio_path)
-    if audio_path is None or not audio_path.exists():
-        raise HTTPException(status_code=404, detail="Audio file not found")
+    if audio_path is None or not audio_path.is_file():
+        detail = (
+            "Generation failed; no audio available"
+            if generation.status == "failed"
+            else "Audio file not found"
+        )
+        raise HTTPException(status_code=404, detail=detail)
 
     return FileResponse(
         audio_path,
@@ -72,7 +77,7 @@ async def get_sample_audio(sample_id: str, db: Session = Depends(get_db)):
         raise HTTPException(status_code=404, detail="Sample not found")
 
     audio_path = config.resolve_storage_path(sample.audio_path)
-    if audio_path is None or not audio_path.exists():
+    if audio_path is None or not audio_path.is_file():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     return FileResponse(

backend/routes/cloud.py

@@ -0,0 +1,75 @@
+"""Voicebox Cloud device login routes.
+
+The browser-based pairing flow:
+  1. POST /cloud/login/start  — opens the browser to the cloud authorize page.
+  2. GET  /cloud/callback     — the browser lands here with a one-time code;
+                                the backend exchanges it for an API key.
+  3. GET  /cloud/status       — the UI polls this to learn when it connected.
+  4. POST /cloud/disconnect   — forget the local credential.
+"""
+
+import socket
+
+from fastapi import APIRouter, Depends, Request
+from fastapi.responses import HTMLResponse
+from sqlalchemy.orm import Session
+
+from .. import models
+from ..database import get_db
+from ..services import cloud as cloud_service
+
+router = APIRouter(prefix="/cloud", tags=["cloud"])
+
+
+def _callback_url(request: Request) -> str:
+    # Always loopback — the cloud only redirects codes to 127.0.0.1/localhost.
+    port = request.url.port or 17493
+    return f"http://127.0.0.1:{port}/cloud/callback"
+
+
+@router.post("/login/start", response_model=models.CloudLoginStartResponse)
+async def start_cloud_login(request: Request):
+    device_name = socket.gethostname() or "Desktop"
+    authorize_url = cloud_service.start_login(_callback_url(request), device_name)
+    return models.CloudLoginStartResponse(authorize_url=authorize_url)
+
+
+@router.get("/callback", response_class=HTMLResponse)
+async def cloud_callback(
+    request: Request,
+    code: str = "",
+    state: str = "",
+    db: Session = Depends(get_db),
+):
+    ok, message = await cloud_service.handle_callback(db, code=code, state=state)
+    heading = "You're connected" if ok else "Couldn't connect"
+    accent = "#16a34a" if ok else "#dc2626"
+    sub = (
+        "Voicebox is now linked to your account. You can close this tab and return to the app."
+        if ok
+        else message
+    )
+    html = f"""<!doctype html>
+<html lang="en"><head><meta charset="utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+<title>Voicebox Cloud</title>
+<style>
+  body {{ margin:0; min-height:100vh; display:flex; align-items:center; justify-content:center;
+    font-family: ui-sans-serif, system-ui, -apple-system, sans-serif; background:#0b0b0d; color:#e7e7ea; }}
+  .card {{ max-width:28rem; padding:2.5rem; text-align:center; }}
+  h1 {{ font-size:1.5rem; margin:0 0 .5rem; color:{accent}; }}
+  p {{ color:#a1a1aa; line-height:1.5; }}
+</style></head>
+<body><div class="card"><h1>{heading}</h1><p>{sub}</p></div></body></html>"""
+    return HTMLResponse(content=html, status_code=200 if ok else 400)
+
+
+@router.get("/status", response_model=models.CloudStatusResponse)
+async def cloud_status(db: Session = Depends(get_db)):
+    return models.CloudStatusResponse(**cloud_service.get_status(db))
+
+
+@router.post("/disconnect", response_model=models.CloudStatusResponse)
+async def cloud_disconnect(db: Session = Depends(get_db)):
+    cloud_service.disconnect(db)
+    return models.CloudStatusResponse(**cloud_service.get_status(db))

backend/routes/cuda.py

@@ -26,6 +26,10 @@ async def download_cuda_backend():
     """Download the CUDA backend binary."""
     from ..services import cuda
 
+    unsupported_reason = cuda.get_cuda_download_unsupported_reason()
+    if unsupported_reason:
+        raise HTTPException(status_code=409, detail=unsupported_reason)
+
     if cuda.get_cuda_binary_path() is not None:
         raise HTTPException(status_code=409, detail="CUDA backend already downloaded")
 

backend/routes/health.py

@@ -13,7 +13,7 @@ from sqlalchemy.orm import Session
 from .. import config, models
 from ..services import tts
 from ..database import get_db
-from ..utils.platform_detect import get_backend_type
+from ..utils.platform_detect import get_backend_type, is_amd_gpu_windows
 
 router = APIRouter()
 
@@ -103,7 +103,10 @@ async def health():
 
     gpu_type = None
     if has_cuda:
-        gpu_type = f"CUDA ({torch.cuda.get_device_name(0)})"
+        if hasattr(torch.version, "hip") and torch.version.hip:
+            gpu_type = f"ROCm ({torch.cuda.get_device_name(0)})"
+        else:
+            gpu_type = f"CUDA ({torch.cuda.get_device_name(0)})"
     elif has_mps:
         gpu_type = "MPS (Apple Silicon)"
     elif backend_type == "mlx":
@@ -164,6 +167,15 @@ async def health():
     except Exception:
         pass
 
+    default_variant = "cpu"
+    if has_cuda:
+        if hasattr(torch.version, "hip") and torch.version.hip:
+            default_variant = "rocm"
+        else:
+            default_variant = "cuda"
+    elif has_xpu:
+        default_variant = "xpu"
+
     return models.HealthResponse(
         status="healthy",
         model_loaded=model_loaded,
@@ -173,10 +185,8 @@ async def health():
         gpu_type=gpu_type,
         vram_used_mb=vram_used,
         backend_type=backend_type,
-        backend_variant=os.environ.get(
-            "VOICEBOX_BACKEND_VARIANT",
-            "cuda" if torch.cuda.is_available() else ("xpu" if has_xpu else "cpu"),
-        ),
+        backend_variant=os.environ.get("VOICEBOX_BACKEND_VARIANT", default_variant),
+        supports_rocm=is_amd_gpu_windows(),
         gpu_compatibility_warning=gpu_compat_warning,
     )
 

backend/routes/models.py

@@ -66,7 +66,7 @@ async def unload_model():
     from ..services import tts
 
     try:
-        tts.unload_tts_model()
+        await tts.unload_tts_model()
         return {"message": "Model unloaded successfully"}
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
@@ -82,7 +82,7 @@ async def unload_model_by_name(model_name: str):
         raise HTTPException(status_code=400, detail=f"Unknown model: {model_name}")
 
     try:
-        was_loaded = unload_model_by_config(config)
+        was_loaded = await unload_model_by_config(config)
         if not was_loaded:
             return {"message": f"Model {model_name} is not loaded"}
         return {"message": f"Model {model_name} unloaded successfully"}
@@ -231,7 +231,10 @@ async def get_model_status():
     backend_type = get_backend_type()
     task_manager = get_task_manager()
 
-    active_download_names = {task.model_name for task in task_manager.get_active_downloads()}
+    # Pending only — an errored task stays in the active list for the
+    # error/retry UI, but reporting it as "downloading" here would mask
+    # the model's real cache state until the app restarts (issue #925).
+    active_download_names = {task.model_name for task in task_manager.get_pending_downloads()}
 
     try:
         from huggingface_hub import scan_cache_dir
@@ -454,7 +457,7 @@ async def delete_model(model_name: str):
     hf_repo_id = config.hf_repo_id
 
     try:
-        unload_model_by_config(config)
+        await unload_model_by_config(config)
 
         cache_dir = hf_constants.HF_HUB_CACHE
         repo_cache_dir = Path(cache_dir) / ("models--" + hf_repo_id.replace("/", "--"))

backend/routes/rocm.py

@@ -0,0 +1,79 @@
+"""ROCm backend management endpoints."""
+
+import logging
+
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import StreamingResponse
+
+from ..services.task_queue import create_background_task
+from ..utils.progress import get_progress_manager
+
+router = APIRouter()
+
+logger = logging.getLogger(__name__)
+
+
+@router.get("/backend/rocm-status")
+async def get_rocm_status():
+    """Get ROCm backend download/availability status."""
+    from ..services import rocm
+
+    return rocm.get_rocm_status()
+
+
+@router.post("/backend/download-rocm")
+async def download_rocm_backend():
+    """Download the ROCm backend binary."""
+    from ..services import rocm
+
+    progress_manager = get_progress_manager()
+    existing = progress_manager.get_progress(rocm.PROGRESS_KEY)
+    if existing and existing.get("status") in {"downloading", "extracting"}:
+        raise HTTPException(status_code=409, detail="ROCm backend download already in progress")
+
+    async def _download():
+        try:
+            await rocm.download_rocm_binary()
+        except Exception as e:
+            logger.error("ROCm download failed: %s", e)
+
+    create_background_task(_download())
+    return {"message": "ROCm backend download started", "progress_key": rocm.PROGRESS_KEY}
+
+
+@router.delete("/backend/rocm")
+async def delete_rocm_backend():
+    """Delete the downloaded ROCm backend binary."""
+    from ..services import rocm
+
+    if rocm.is_rocm_active():
+        raise HTTPException(
+            status_code=409,
+            detail="Cannot delete ROCm backend while it is active. Switch to CPU first.",
+        )
+
+    deleted = await rocm.delete_rocm_binary()
+    if not deleted:
+        raise HTTPException(status_code=404, detail="No ROCm backend found to delete")
+
+    return {"message": "ROCm backend deleted"}
+
+
+@router.get("/backend/rocm-progress")
+async def get_rocm_download_progress():
+    """Get ROCm backend download progress via Server-Sent Events."""
+    progress_manager = get_progress_manager()
+
+    async def event_generator():
+        async for event in progress_manager.subscribe("rocm-backend"):
+            yield event
+
+    return StreamingResponse(
+        event_generator(),
+        media_type="text/event-stream",
+        headers={
+            "Cache-Control": "no-cache",
+            "Connection": "keep-alive",
+            "X-Accel-Buffering": "no",
+        },
+    )

backend/routes/transcription.py

@@ -15,6 +15,10 @@ router = APIRouter()
 
 UPLOAD_CHUNK_SIZE = 1024 * 1024  # 1MB
 
+# Same set profiles.py accepts for voice samples. librosa picks its decoder from the
+# file extension, so the temp file has to keep the uploaded one.
+ALLOWED_AUDIO_EXTS = {".wav", ".mp3", ".m4a", ".ogg", ".flac", ".aac", ".webm", ".opus"}
+
 
 @router.post("/transcribe", response_model=models.TranscriptionResponse)
 async def transcribe_audio(
@@ -23,7 +27,10 @@ async def transcribe_audio(
     model: str | None = Form(None),
 ):
     """Transcribe audio file to text."""
-    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
+    uploaded_ext = Path(file.filename or "").suffix.lower()
+    file_suffix = uploaded_ext if uploaded_ext in ALLOWED_AUDIO_EXTS else ".wav"
+
+    with tempfile.NamedTemporaryFile(suffix=file_suffix, delete=False) as tmp:
         while chunk := await file.read(UPLOAD_CHUNK_SIZE):
             tmp.write(chunk)
         tmp_path = tmp.name

backend/server.py

@@ -7,6 +7,7 @@ absolute imports instead of relative imports.
 
 import sys
 import os
+import re
 
 # On Windows with --noconsole (PyInstaller), sys.stdout/stderr are None.
 # They can also be broken file objects in some edge cases.
@@ -47,6 +48,17 @@ if "--version" in sys.argv:
     print(f"voicebox-server {__version__}")
     sys.exit(0)
 
+# Detect backend variant from binary name BEFORE importing backend modules
+# so that env-var guards in app.py (e.g. HSA_OVERRIDE_GFX_VERSION) fire at import time.
+_binary_name = os.path.basename(sys.executable).lower()
+if re.search(r"voicebox-server-rocm(\.exe)?$", _binary_name):
+    os.environ["VOICEBOX_BACKEND_VARIANT"] = "rocm"
+elif re.search(r"voicebox-server-cuda(\.exe)?$", _binary_name):
+    os.environ["VOICEBOX_BACKEND_VARIANT"] = "cuda"
+else:
+    os.environ.setdefault("VOICEBOX_BACKEND_VARIANT", "cpu")
+
+
 import logging
 
 # Set up logging FIRST, before any imports that might fail
@@ -260,16 +272,7 @@ if __name__ == "__main__":
         if args.parent_pid is not None and args.parent_pid <= 0:
             parser.error("--parent-pid must be a positive integer")
 
-        # Detect backend variant from binary name
-        # voicebox-server-cuda → sets VOICEBOX_BACKEND_VARIANT=cuda
-        import os
-        binary_name = os.path.basename(sys.executable).lower()
-        if "cuda" in binary_name:
-            os.environ["VOICEBOX_BACKEND_VARIANT"] = "cuda"
-            logger.info("Backend variant: CUDA")
-        else:
-            os.environ["VOICEBOX_BACKEND_VARIANT"] = "cpu"
-            logger.info("Backend variant: CPU")
+        logger.info(f"Backend variant: {os.environ.get('VOICEBOX_BACKEND_VARIANT', 'cpu').upper()}")
 
         # Register parent watchdog to start after server is fully ready
         if args.parent_pid is not None:

backend/services/cloud.py

@@ -0,0 +1,183 @@
+"""
+Voicebox Cloud device login — the "Log in with browser" flow.
+
+The desktop opens the browser to ``{web}/connect``; the user authorizes while
+signed in; the cloud redirects a single-use code back to this backend's loopback
+callback. We exchange that code (server-to-server, over TLS) for a ``voicebox_…``
+API key, verify the key against the API, and store it locally. The key never
+travels through a browser URL, and an unfinished flow leaves nothing behind.
+
+The ``state`` we mint and round-trip prevents login-CSRF: a callback whose state
+we didn't issue (e.g. an attacker tricking the user into hitting the loopback
+callback with their own code) is rejected.
+"""
+
+import logging
+import secrets
+import time
+import webbrowser
+from urllib.parse import urlencode
+
+import httpx
+from sqlalchemy.exc import IntegrityError
+from sqlalchemy.orm import Session
+
+from .. import config
+from ..database import CloudSettings as DBCloudSettings
+
+logger = logging.getLogger(__name__)
+
+SINGLETON_ID = 1
+PENDING_TTL_SECONDS = 600  # the whole browser flow must finish within 10 min
+
+# state -> expiry epoch. In-memory: a single backend process owns the flow, and a
+# dropped pairing should simply be restarted.
+_pending: dict[str, float] = {}
+
+
+def _prune() -> None:
+    now = time.time()
+    for state, expiry in list(_pending.items()):
+        if expiry < now:
+            _pending.pop(state, None)
+
+
+def _json_dict(response: httpx.Response) -> dict | None:
+    """Parsed JSON body, or None when it isn't a JSON object."""
+    try:
+        payload = response.json()
+    except ValueError:
+        return None
+    return payload if isinstance(payload, dict) else None
+
+
+def _consume_state(state: str) -> bool:
+    """Validate and single-use-consume a pending state."""
+    _prune()
+    expiry = _pending.pop(state, None)
+    return expiry is not None and expiry >= time.time()
+
+
+def start_login(callback_url: str, device_name: str) -> str:
+    """Mint a state, build the authorize URL, and open the browser.
+
+    Returns the authorize URL (also opened here) so the caller can surface it as
+    a fallback if the browser didn't open.
+    """
+    state = secrets.token_urlsafe(24)
+    _prune()
+    _pending[state] = time.time() + PENDING_TTL_SECONDS
+
+    params = urlencode({"redirect_uri": callback_url, "state": state, "name": device_name})
+    authorize_url = f"{config.get_cloud_web_url()}/connect?{params}"
+
+    try:
+        webbrowser.open(authorize_url)
+    except Exception:  # pragma: no cover - platform dependent
+        logger.exception("failed to open browser for cloud login")
+
+    return authorize_url
+
+
+async def handle_callback(db: Session, code: str, state: str) -> tuple[bool, str]:
+    """Exchange the code for an API key and store it. Returns (ok, message)."""
+    if not _consume_state(state):
+        return False, "This sign-in link is invalid or has expired. Start again from the app."
+    if not code:
+        return False, "Missing authorization code."
+
+    web = config.get_cloud_web_url()
+    api = config.get_cloud_api_url()
+    try:
+        async with httpx.AsyncClient(timeout=15.0) as client:
+            exchanged = await client.post(f"{web}/api/connect/exchange", json={"code": code})
+            if exchanged.status_code != 200:
+                logger.warning("cloud exchange rejected code: %s", exchanged.status_code)
+                return False, "Could not complete sign-in — the code was rejected."
+            payload = _json_dict(exchanged)
+            if payload is None:
+                logger.warning("cloud exchange returned a non-JSON payload")
+                return False, "Voicebox Cloud returned an unexpected response."
+            api_key = payload.get("key")
+            device_name = payload.get("label")
+            if not api_key:
+                return False, "Voicebox Cloud did not return a key."
+
+            # Confirm the freshly minted key actually authenticates the API.
+            me = await client.get(
+                f"{api}/v1/account/me",
+                headers={"Authorization": f"Bearer {api_key}"},
+            )
+            if me.status_code != 200:
+                logger.warning("minted key failed verification: %s", me.status_code)
+                return False, "Sign-in succeeded but the key could not be verified."
+            # The 200 above proves the key works; the user id is best-effort.
+            data = (_json_dict(me) or {}).get("data")
+            account_user_id = data.get("userId") if isinstance(data, dict) else None
+    except httpx.HTTPError:
+        logger.exception("network error during cloud exchange")
+        return False, "Could not reach Voicebox Cloud. Check your connection and try again."
+
+    _store_key(db, api_key=api_key, device_name=device_name, account_user_id=account_user_id)
+    logger.info("connected to Voicebox Cloud as device %r", device_name)
+    return True, "Connected"
+
+
+def _get_or_create_row(db: Session) -> DBCloudSettings:
+    row = db.query(DBCloudSettings).filter(DBCloudSettings.id == SINGLETON_ID).first()
+    if row is None:
+        row = DBCloudSettings(id=SINGLETON_ID)
+        db.add(row)
+        try:
+            db.commit()
+        except IntegrityError:
+            # Another request created the singleton concurrently.
+            db.rollback()
+            row = db.query(DBCloudSettings).filter(DBCloudSettings.id == SINGLETON_ID).one()
+        else:
+            db.refresh(row)
+    return row
+
+
+def _store_key(db: Session, *, api_key: str, device_name: str | None, account_user_id: str | None):
+    from datetime import datetime
+
+    row = _get_or_create_row(db)
+    row.api_key = api_key
+    row.device_name = device_name
+    row.account_user_id = account_user_id
+    row.connected_at = datetime.utcnow()
+    db.commit()
+
+
+def get_status(db: Session) -> dict:
+    """Local view of the cloud link — never returns the full key."""
+    row = _get_or_create_row(db)
+    connected = bool(row.api_key)
+    # Prefix only: "voicebox_" (9) + 8 chars, matching the cloud's key_prefix.
+    key_prefix = row.api_key[:17] if row.api_key else None
+    return {
+        "connected": connected,
+        "device_name": row.device_name if connected else None,
+        "account_user_id": row.account_user_id if connected else None,
+        "key_prefix": key_prefix,
+        "connected_at": row.connected_at if connected else None,
+        "dashboard_url": f"{config.get_cloud_web_url()}/account",
+    }
+
+
+def disconnect(db: Session) -> None:
+    """Forget the local credential. The key remains valid on the server until
+    revoked from the account dashboard — surface that in the UI."""
+    row = _get_or_create_row(db)
+    row.api_key = None
+    row.device_name = None
+    row.account_user_id = None
+    row.connected_at = None
+    db.commit()
+
+
+def get_api_key(db: Session) -> str | None:
+    """The stored bearer key, for the (future) sync client. None if not linked."""
+    row = _get_or_create_row(db)
+    return row.api_key

backend/services/cuda.py

@@ -21,9 +21,9 @@ import tarfile
 from pathlib import Path
 from typing import Optional
 
+from .. import __version__
 from ..config import get_data_dir
 from ..utils.progress import get_progress_manager
-from .. import __version__
 
 logger = logging.getLogger(__name__)
 
@@ -31,6 +31,8 @@ GITHUB_RELEASES_URL = "https://github.com/jamiepine/voicebox/releases/download"
 
 PROGRESS_KEY = "cuda-backend"
 
+CUDA_DOWNLOAD_UNSUPPORTED_REASON = "Downloadable CUDA backend releases are currently only published for Windows."
+
 # The current expected CUDA libs version.  Bump this when we change the
 # CUDA toolkit version or torch's CUDA dependency changes (e.g. cu126 -> cu128).
 CUDA_LIBS_VERSION = "cu128-v1"
@@ -63,6 +65,25 @@ def get_cuda_exe_name() -> str:
     return "voicebox-server-cuda"
 
 
+def is_cuda_download_supported() -> bool:
+    """Return whether this platform has a matching CUDA release asset."""
+    return sys.platform == "win32"
+
+
+def get_cuda_download_unsupported_reason() -> str | None:
+    """Explain why this platform cannot use the release-download flow."""
+    if is_cuda_download_supported():
+        return None
+    return CUDA_DOWNLOAD_UNSUPPORTED_REASON
+
+
+def ensure_cuda_download_supported() -> None:
+    """Raise if downloading would fetch an asset built for another platform."""
+    reason = get_cuda_download_unsupported_reason()
+    if reason:
+        raise RuntimeError(reason)
+
+
 def get_cuda_binary_path() -> Optional[Path]:
     """Return path to the CUDA executable if it exists inside the onedir."""
     p = get_cuda_dir() / get_cuda_exe_name()
@@ -103,12 +124,15 @@ def get_cuda_status() -> dict:
     cuda_path = get_cuda_binary_path()
     progress = progress_manager.get_progress(PROGRESS_KEY)
     cuda_libs_version = get_installed_cuda_libs_version()
+    unsupported_reason = get_cuda_download_unsupported_reason()
 
     return {
         "available": cuda_path is not None,
         "active": is_cuda_active(),
         "binary_path": str(cuda_path) if cuda_path else None,
         "cuda_libs_version": cuda_libs_version,
+        "download_supported": unsupported_reason is None,
+        "unsupported_reason": unsupported_reason,
         "downloading": progress is not None and progress.get("status") == "downloading",
         "download_progress": progress,
     }
@@ -257,6 +281,8 @@ async def download_cuda_binary(version: Optional[str] = None):
 
 async def _download_cuda_binary_locked(version: Optional[str] = None):
     """Inner implementation of download_cuda_binary, called under _download_lock."""
+    ensure_cuda_download_supported()
+
     import httpx
 
     if version is None:
@@ -387,6 +413,11 @@ async def check_and_update_cuda_binary():
     if not cuda_path:
         return  # No CUDA binary installed, nothing to update
 
+    unsupported_reason = get_cuda_download_unsupported_reason()
+    if unsupported_reason:
+        logger.info("Skipping CUDA backend auto-update: %s", unsupported_reason)
+        return
+
     need_server = _needs_server_download()
     need_libs = _needs_cuda_libs_download()
 

backend/services/llm.py

@@ -2,7 +2,7 @@
 LLM inference module - delegates to backend abstraction layer.
 """
 
-from ..backends import get_llm_backend, LLMBackend
+from ..backends import LLMBackend, get_llm_backend, unload_backend
 
 
 def get_llm_model() -> LLMBackend:
@@ -10,6 +10,6 @@ def get_llm_model() -> LLMBackend:
     return get_llm_backend()
 
 
-def unload_llm_model() -> None:
-    """Unload LLM model to free memory."""
-    get_llm_backend().unload_model()
+async def unload_llm_model() -> None:
+    """Unload LLM model to free memory, serialized onto the MLX worker."""
+    await unload_backend(get_llm_backend())

backend/services/mlx_thread.py

@@ -0,0 +1,39 @@
+"""Single dedicated worker thread for all MLX GPU work.
+
+MLX's Metal command encoder/stream is thread-local: it binds to whichever
+thread first touches the GPU device. ``asyncio.to_thread()`` uses the event
+loop's default executor, which hands successive calls to different worker
+threads — a model loaded on one thread and generated on another raises
+"There is no Stream(gpu, N) in current thread" (issue #699).
+
+Routing every MLX load, generate, transcribe and unload through this one
+worker keeps them on a single thread. Because the pool has a single worker,
+submitted jobs also run to completion one at a time in submission order, so a
+load-then-infer pair submitted as one job cannot be interleaved with an unload
+or a different-size load from another request.
+"""
+
+import asyncio
+from concurrent.futures import ThreadPoolExecutor
+
+_mlx_executor = ThreadPoolExecutor(max_workers=1, thread_name_prefix="mlx-worker")
+
+
+def run_on_mlx_thread(func, *args):
+    """Run ``func(*args)`` on the single dedicated MLX worker thread."""
+    loop = asyncio.get_running_loop()
+    return loop.run_in_executor(_mlx_executor, func, *args)
+
+
+def clear_mlx_cache() -> None:
+    """Return MLX's cached unified memory to the OS after a model is freed.
+
+    Must run on the MLX worker thread (call it from an unload that is already
+    routed through ``run_on_mlx_thread``). ``clear_cache`` moved out of the
+    ``mlx.core.metal`` namespace in newer MLX, so resolve it from either.
+    """
+    import mlx.core as mx
+
+    clear = getattr(mx, "clear_cache", None) or getattr(getattr(mx, "metal", None), "clear_cache", None)
+    if clear is not None:
+        clear()

backend/services/rocm.py

@@ -0,0 +1,467 @@
+"""
+ROCm backend download, assembly, and verification.
+
+Downloads two archives from GitHub Releases:
+  1. Server core (voicebox-server-rocm.tar.gz) — the exe + non-AMD deps,
+     versioned with the app.
+  2. ROCm libs (rocm-libs-{version}.tar.gz) — AMD runtime libraries,
+     versioned independently (only redownloaded on ROCm toolkit bump).
+
+Both archives are extracted into {data_dir}/backends/rocm/ which forms the
+complete PyInstaller --onedir directory structure that torch expects.
+"""
+
+import asyncio
+import hashlib
+import json
+import logging
+import os
+import shutil
+import sys
+import tarfile
+from pathlib import Path
+from typing import Optional
+
+from ..config import get_data_dir
+from ..utils.progress import get_progress_manager
+from .. import __version__
+
+logger = logging.getLogger(__name__)
+
+GITHUB_RELEASES_URL = "https://github.com/jamiepine/voicebox/releases/download"
+
+PROGRESS_KEY = "rocm-backend"
+
+# The current expected ROCm libs version.  Bump this when we change the
+# ROCm toolkit version or torch's ROCm dependency changes (e.g. rocm7.2 -> rocm7.4).
+ROCM_LIBS_VERSION = "rocm7.2-v1"
+
+# Prevents concurrent download_rocm_binary() calls from racing on the same
+# temp file.  The auto-update background task and the manual HTTP endpoint
+# can both invoke download_rocm_binary(); without this lock the progress-
+# manager status check is a TOCTOU race.
+_download_lock = asyncio.Lock()
+
+
+def get_backends_dir() -> Path:
+    """Directory where downloaded backend binaries are stored."""
+    d = get_data_dir() / "backends"
+    d.mkdir(parents=True, exist_ok=True)
+    return d
+
+
+def get_rocm_dir() -> Path:
+    """Directory where the ROCm backend (onedir) is extracted."""
+    d = get_backends_dir() / "rocm"
+    d.mkdir(parents=True, exist_ok=True)
+    return d
+
+
+def get_rocm_exe_name() -> str:
+    """Platform-specific ROCm executable filename."""
+    if sys.platform == "win32":
+        return "voicebox-server-rocm.exe"
+    return "voicebox-server-rocm"
+
+
+def get_rocm_binary_path() -> Optional[Path]:
+    """Return path to the ROCm executable if it exists inside the onedir."""
+    p = get_rocm_dir() / get_rocm_exe_name()
+    if p.exists():
+        return p
+    return None
+
+
+def get_rocm_libs_manifest_path() -> Path:
+    """Path to the rocm-libs.json manifest inside the ROCm dir."""
+    return get_rocm_dir() / "rocm-libs.json"
+
+
+def get_installed_rocm_libs_version() -> Optional[str]:
+    """Read the installed ROCm libs version from rocm-libs.json, or None."""
+    manifest_path = get_rocm_libs_manifest_path()
+    if not manifest_path.exists():
+        return None
+    try:
+        data = json.loads(manifest_path.read_text())
+        return data.get("version")
+    except Exception as e:
+        logger.warning(f"Could not read rocm-libs.json: {e}")
+        return None
+
+
+def is_rocm_active() -> bool:
+    """Check if the current process is the ROCm binary.
+
+    The ROCm binary sets this env var on startup (see server.py).
+    """
+    return os.environ.get("VOICEBOX_BACKEND_VARIANT") == "rocm"
+
+
+def get_rocm_status() -> dict:
+    """Get current ROCm backend status for the API."""
+    progress_manager = get_progress_manager()
+    rocm_path = get_rocm_binary_path()
+    progress = progress_manager.get_progress(PROGRESS_KEY)
+    rocm_libs_version = get_installed_rocm_libs_version()
+
+    return {
+        "available": rocm_path is not None,
+        "active": is_rocm_active(),
+        "binary_path": str(rocm_path) if rocm_path else None,
+        "rocm_libs_version": rocm_libs_version,
+        "downloading": progress is not None and progress.get("status") == "downloading",
+        "download_progress": progress,
+    }
+
+
+def _needs_server_download(version: Optional[str] = None) -> bool:
+    """Check if the server core archive needs to be (re)downloaded."""
+    rocm_path = get_rocm_binary_path()
+    if not rocm_path:
+        return True
+    # Check if the binary version matches the expected app version
+    installed = get_rocm_binary_version()
+    expected = version or __version__
+    if expected.startswith("v"):
+        expected = expected[1:]
+    return installed != expected
+
+
+def _needs_rocm_libs_download() -> bool:
+    """Check if the ROCm libs archive needs to be (re)downloaded."""
+    installed = get_installed_rocm_libs_version()
+    if installed is None:
+        return True
+    return installed != ROCM_LIBS_VERSION
+
+
+async def _download_and_extract_archive(
+    client,
+    url: str,
+    sha256_url: Optional[str],
+    dest_dir: Path,
+    label: str,
+    progress_offset: int,
+    total_size: int,
+):
+    """Download a .tar.gz archive and extract it into dest_dir.
+
+    Args:
+        client: httpx.AsyncClient
+        url: URL of the .tar.gz archive
+        sha256_url: URL of the .sha256 checksum file (optional)
+        dest_dir: Directory to extract into
+        label: Human-readable label for progress updates
+        progress_offset: Byte offset for progress reporting (when downloading
+            multiple archives sequentially)
+        total_size: Total bytes across all downloads (for progress bar)
+    """
+    progress = get_progress_manager()
+    temp_path = dest_dir / f".download-{label.replace(' ', '-')}.tmp"
+
+    # Clean up leftover partial download
+    if temp_path.exists():
+        temp_path.unlink()
+
+    # Fetch expected checksum (fail-fast: never extract an unverified archive)
+    expected_sha = None
+    if sha256_url:
+        try:
+            sha_resp = await client.get(sha256_url)
+            sha_resp.raise_for_status()
+            expected_sha = sha_resp.text.strip().split()[0]
+            logger.info(f"{label}: expected SHA-256: {expected_sha[:16]}...")
+        except Exception as e:
+            raise RuntimeError(f"{label}: failed to fetch checksum from {sha256_url}") from e
+
+    # Stream download, verify, and extract — always clean up temp file
+    downloaded = 0
+    try:
+        async with client.stream("GET", url) as response:
+            response.raise_for_status()
+            with open(temp_path, "wb") as f:
+                async for chunk in response.aiter_bytes(chunk_size=1024 * 1024):
+                    f.write(chunk)
+                    downloaded += len(chunk)
+                    progress.update_progress(
+                        PROGRESS_KEY,
+                        current=progress_offset + downloaded,
+                        total=total_size,
+                        filename=f"Downloading {label}",
+                        status="downloading",
+                    )
+
+        # Verify integrity
+        if expected_sha:
+            progress.update_progress(
+                PROGRESS_KEY,
+                current=progress_offset + downloaded,
+                total=total_size,
+                filename=f"Verifying {label}...",
+                status="downloading",
+            )
+            sha256 = hashlib.sha256()
+            with open(temp_path, "rb") as f:
+                while True:
+                    data = f.read(1024 * 1024)
+                    if not data:
+                        break
+                    sha256.update(data)
+            actual = sha256.hexdigest()
+            if actual != expected_sha:
+                raise ValueError(
+                    f"{label} integrity check failed: expected {expected_sha[:16]}..., got {actual[:16]}..."
+                )
+            logger.info(f"{label}: integrity verified")
+
+        # Extract (use data filter for path traversal protection on Python 3.12+)
+        progress.update_progress(
+            PROGRESS_KEY,
+            current=progress_offset + downloaded,
+            total=total_size,
+            filename=f"Extracting {label}...",
+            status="downloading",
+        )
+        with tarfile.open(temp_path, "r:gz") as tar:
+            tar.extractall(path=dest_dir, filter="data")
+
+        logger.info(f"{label}: extracted to {dest_dir}")
+    finally:
+        if temp_path.exists():
+            temp_path.unlink()
+    return downloaded
+
+
+async def download_rocm_binary(version: Optional[str] = None):
+    """Download the ROCm backend (server core + ROCm libs if needed).
+
+    Downloads both archives from GitHub Releases, extracts them into
+    {data_dir}/backends/rocm/, and writes the rocm-libs.json manifest.
+
+    Only downloads what's needed:
+    - Server core: always redownloaded (versioned with app)
+    - ROCm libs: only if missing or version mismatch
+
+    Args:
+        version: Version tag (e.g. "v0.3.0"). Defaults to current app version.
+    """
+    if _download_lock.locked():
+        logger.info("ROCm download already in progress, skipping duplicate request")
+        return
+    async with _download_lock:
+        await _download_rocm_binary_locked(version)
+
+
+async def _download_rocm_binary_locked(version: Optional[str] = None):
+    """Inner implementation of download_rocm_binary, called under _download_lock."""
+    import httpx
+
+    if version is None:
+        version = f"v{__version__}"
+
+    progress = get_progress_manager()
+    rocm_dir = get_rocm_dir()
+
+    need_server = _needs_server_download(version)
+    need_libs = _needs_rocm_libs_download()
+
+    if not need_server and not need_libs:
+        logger.info("ROCm backend is up to date, nothing to download")
+        return
+
+    logger.info(
+        f"Starting ROCm backend download for {version} "
+        f"(server={'yes' if need_server else 'cached'}, "
+        f"libs={'yes' if need_libs else 'cached'})"
+    )
+    progress.update_progress(
+        PROGRESS_KEY,
+        current=0,
+        total=0,
+        filename="Preparing download...",
+        status="downloading",
+    )
+
+    # Server core and libs archive are both published under the app-version
+    # release tag; the libs content version is encoded in the filename only.
+    server_base_url = f"{GITHUB_RELEASES_URL}/{version}"
+    libs_base_url = server_base_url
+    server_archive = "voicebox-server-rocm.tar.gz"
+    libs_archive = f"rocm-libs-{ROCM_LIBS_VERSION}.tar.gz"
+
+    # Always stage when any download is needed, then atomically rename over
+    # rocm_dir on success. This prevents a failed mid-extraction from leaving
+    # rocm_dir in a partially-installed state that still passes the
+    # get_rocm_binary_path() existence check. Existing files are pre-copied
+    # into staging so partial updates (e.g. libs-only or server-only) preserve
+    # whatever isn't being re-downloaded.
+    use_staging = need_server or need_libs
+    staging_dir = get_backends_dir() / "rocm-staging"
+
+    if use_staging:
+        if staging_dir.exists():
+            shutil.rmtree(staging_dir)
+        staging_dir.mkdir(parents=True, exist_ok=True)
+        # Preserve existing files (server or libs) that don't need re-downloading.
+        # Extracted archives will overwrite only what we actually download.
+        if rocm_dir.exists():
+            shutil.copytree(rocm_dir, staging_dir, dirs_exist_ok=True)
+        extract_dir = staging_dir
+    else:
+        extract_dir = rocm_dir
+
+    try:
+        async with httpx.AsyncClient(follow_redirects=True, timeout=30.0) as client:
+            # Estimate total download size
+            total_size = 0
+            if need_server:
+                try:
+                    head = await client.head(f"{server_base_url}/{server_archive}")
+                    total_size += int(head.headers.get("content-length", 0))
+                except Exception:
+                    pass
+            if need_libs:
+                try:
+                    head = await client.head(f"{libs_base_url}/{libs_archive}")
+                    total_size += int(head.headers.get("content-length", 0))
+                except Exception:
+                    pass
+
+            logger.info(f"Total download size: {total_size / 1024 / 1024:.1f} MB")
+
+            offset = 0
+
+            # Download server core
+            if need_server:
+                server_downloaded = await _download_and_extract_archive(
+                    client,
+                    url=f"{server_base_url}/{server_archive}",
+                    sha256_url=f"{server_base_url}/{server_archive}.sha256",
+                    dest_dir=extract_dir,
+                    label="ROCm server",
+                    progress_offset=offset,
+                    total_size=total_size,
+                )
+                offset += server_downloaded
+
+                # Make executable on Unix
+                exe_path = extract_dir / get_rocm_exe_name()
+                if sys.platform != "win32" and exe_path.exists():
+                    exe_path.chmod(0o755)
+
+            # Download ROCm libs
+            if need_libs:
+                await _download_and_extract_archive(
+                    client,
+                    url=f"{libs_base_url}/{libs_archive}",
+                    sha256_url=f"{libs_base_url}/{libs_archive}.sha256",
+                    dest_dir=extract_dir,
+                    label="ROCm libraries",
+                    progress_offset=offset,
+                    total_size=total_size,
+                )
+
+                # Write local rocm-libs.json manifest
+                manifest = {"version": ROCM_LIBS_VERSION}
+                (extract_dir / "rocm-libs.json").write_text(json.dumps(manifest, indent=2) + "\n")
+
+        # Atomic swap: replace rocm_dir with the fully-extracted staging dir
+        if use_staging:
+            backup_dir = get_backends_dir() / "rocm-backup"
+            if backup_dir.exists():
+                shutil.rmtree(backup_dir)
+            if rocm_dir.exists():
+                rocm_dir.rename(backup_dir)
+            try:
+                staging_dir.rename(rocm_dir)
+            except Exception:
+                if backup_dir.exists() and not rocm_dir.exists():
+                    backup_dir.rename(rocm_dir)
+                raise
+            else:
+                if backup_dir.exists():
+                    shutil.rmtree(backup_dir)
+
+        logger.info(f"ROCm backend ready at {rocm_dir}")
+        progress.mark_complete(PROGRESS_KEY)
+
+    except Exception as e:
+        if use_staging and staging_dir.exists():
+            shutil.rmtree(staging_dir)
+        logger.error(f"ROCm backend download failed: {e}")
+        progress.mark_error(PROGRESS_KEY, str(e))
+        raise
+
+
+def get_rocm_binary_version() -> Optional[str]:
+    """Get the version of the installed ROCm binary, or None if not installed."""
+    import subprocess
+
+    rocm_path = get_rocm_binary_path()
+    if not rocm_path:
+        return None
+    try:
+        result = subprocess.run(
+            [str(rocm_path), "--version"],
+            capture_output=True,
+            text=True,
+            timeout=30,
+            cwd=str(rocm_path.parent),  # Run from the onedir directory
+        )
+        # Output format: "voicebox-server 0.3.0"
+        for line in result.stdout.strip().splitlines():
+            if "voicebox-server" in line:
+                return line.split()[-1]
+    except Exception as e:
+        logger.warning(f"Could not get ROCm binary version: {e}")
+    return None
+
+
+async def check_and_update_rocm_binary():
+    """Check if the ROCm binary is outdated and auto-download if so.
+
+    Called on server startup. Checks both server version and ROCm libs
+    version. Downloads only what's needed.
+    """
+    rocm_path = get_rocm_binary_path()
+    if not rocm_path:
+        return  # No ROCm binary installed, nothing to update
+
+    if is_rocm_active():
+        logger.info("ROCm backend is active; skipping auto-update to avoid replacing the running backend")
+        return
+
+    need_server = _needs_server_download()
+    need_libs = _needs_rocm_libs_download()
+
+    if not need_server and not need_libs:
+        logger.info(f"ROCm binary is up to date (server=v{__version__}, libs={get_installed_rocm_libs_version()})")
+        return
+
+    reasons = []
+    if need_server:
+        rocm_version = get_rocm_binary_version()
+        reasons.append(f"server v{rocm_version} != v{__version__}")
+    if need_libs:
+        installed_libs = get_installed_rocm_libs_version()
+        reasons.append(f"libs {installed_libs} != {ROCM_LIBS_VERSION}")
+
+    logger.info(f"ROCm backend needs update ({', '.join(reasons)}). Auto-downloading...")
+
+    try:
+        await download_rocm_binary()
+    except Exception as e:
+        logger.error(f"Auto-update of ROCm binary failed: {e}")
+
+
+async def delete_rocm_binary() -> bool:
+    """Delete the downloaded ROCm backend directory. Returns True if deleted."""
+    import shutil
+
+    rocm_dir = get_rocm_dir()
+    if rocm_dir.exists() and any(rocm_dir.iterdir()):
+        shutil.rmtree(rocm_dir)
+        logger.info(f"Deleted ROCm backend directory: {rocm_dir}")
+        return True
+    return False

backend/services/stories.py

@@ -125,12 +125,24 @@ async def list_stories(
     """
     stories = db.query(DBStory).order_by(DBStory.updated_at.desc()).all()
 
+    if not stories:
+        return []
+
+    # Batch-fetch all story item counts in one query to avoid an N+1 pattern
+    # (previously there was one COUNT query per story in the loop below).
+    story_ids = [s.id for s in stories]
+    count_rows = (
+        db.query(DBStoryItem.story_id, func.count(DBStoryItem.id).label("cnt"))
+        .filter(DBStoryItem.story_id.in_(story_ids))
+        .group_by(DBStoryItem.story_id)
+        .all()
+    )
+    item_counts = {row.story_id: row.cnt for row in count_rows}
+
     result = []
     for story in stories:
-        item_count = db.query(func.count(DBStoryItem.id)).filter(DBStoryItem.story_id == story.id).scalar()
-
         response = StoryResponse.model_validate(story)
-        response.item_count = item_count
+        response.item_count = item_counts.get(story.id, 0)
         result.append(response)
 
     return result

backend/services/transcribe.py

@@ -2,21 +2,19 @@
 STT (Speech-to-Text) module - delegates to backend abstraction layer.
 """
 
-from typing import Optional
-from ..backends import get_stt_backend, STTBackend
+from ..backends import STTBackend, get_stt_backend, unload_backend
 
 
 def get_whisper_model() -> STTBackend:
     """
     Get STT backend instance (MLX or PyTorch based on platform).
-    
+
     Returns:
         STT backend instance
     """
     return get_stt_backend()
 
 
-def unload_whisper_model():
-    """Unload Whisper model to free memory."""
-    backend = get_stt_backend()
-    backend.unload_model()
+async def unload_whisper_model():
+    """Unload Whisper model to free memory, serialized onto the MLX worker."""
+    await unload_backend(get_stt_backend())

backend/services/tts.py

@@ -2,28 +2,27 @@
 TTS inference module - delegates to backend abstraction layer.
 """
 
-from typing import Optional
-import numpy as np
 import io
+
+import numpy as np
 import soundfile as sf
 
-from ..backends import get_tts_backend, TTSBackend
+from ..backends import TTSBackend, get_tts_backend, unload_backend
 
 
 def get_tts_model() -> TTSBackend:
     """
     Get TTS backend instance (MLX or PyTorch based on platform).
-    
+
     Returns:
         TTS backend instance
     """
     return get_tts_backend()
 
 
-def unload_tts_model():
-    """Unload TTS model to free memory."""
-    backend = get_tts_backend()
-    backend.unload_model()
+async def unload_tts_model():
+    """Unload TTS model to free memory, serialized onto the MLX worker."""
+    await unload_backend(get_tts_backend())
 
 
 def audio_to_wav_bytes(audio: np.ndarray, sample_rate: int) -> bytes:

backend/tests/test_amd_gpu_detect.py

@@ -0,0 +1,96 @@
+"""
+Phase 2.1 Test: AMD GPU detection on Windows.
+
+Validates is_amd_gpu_windows() via mocked WMI and torch queries.
+
+Usage:
+    python -m pytest backend/tests/test_amd_gpu_detect.py -v
+"""
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from backend.utils.platform_detect import is_amd_gpu_windows
+
+
+class TestAmdGpuWindows:
+    """Unit tests for is_amd_gpu_windows with mocks."""
+
+    @pytest.fixture(autouse=True)
+    def _clear_detection_cache(self):
+        # is_amd_gpu_windows is memoized; reset between cases so each mock takes effect.
+        is_amd_gpu_windows.cache_clear()
+        yield
+        is_amd_gpu_windows.cache_clear()
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Linux")
+    def test_returns_false_on_linux(self, _mock_system):
+        """Non-Windows platforms should always return False."""
+        assert is_amd_gpu_windows() is False
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        return_value=MagicMock(stdout="1\n", returncode=0),
+    )
+    def test_detects_amd_via_wmi(self, _mock_run, _mock_system):
+        """WMI reporting an AMD adapter should return True."""
+        assert is_amd_gpu_windows() is True
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        return_value=MagicMock(stdout="0\n", returncode=0),
+    )
+    def test_no_amd_via_wmi(self, _mock_run, _mock_system):
+        """WMI reporting zero AMD adapters should return False."""
+        assert is_amd_gpu_windows() is False
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        side_effect=Exception("WMI not available"),
+    )
+    @patch("torch.cuda.is_available", return_value=True)
+    @patch(
+        "torch.cuda.get_device_name",
+        return_value="AMD Radeon RX 7800 XT",
+    )
+    def test_fallback_to_torch_radeon(self, _mock_name, _mock_avail, _mock_run, _mock_system):
+        """When WMI fails, torch.cuda.get_device_name('Radeon') should return True."""
+        assert is_amd_gpu_windows() is True
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        side_effect=Exception("WMI not available"),
+    )
+    @patch("torch.cuda.is_available", return_value=True)
+    @patch(
+        "torch.cuda.get_device_name",
+        return_value="NVIDIA GeForce RTX 4090",
+    )
+    def test_fallback_to_torch_nvidia(self, _mock_name, _mock_avail, _mock_run, _mock_system):
+        """When WMI fails, torch.cuda.get_device_name('NVIDIA') should return False."""
+        assert is_amd_gpu_windows() is False
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        side_effect=Exception("WMI not available"),
+    )
+    @patch("torch.cuda.is_available", return_value=False)
+    def test_no_torch_cuda(self, _mock_avail, _mock_run, _mock_system):
+        """When WMI fails and torch.cuda is unavailable, should return False."""
+        assert is_amd_gpu_windows() is False
+
+    @patch("backend.utils.platform_detect.platform.system", return_value="Windows")
+    @patch(
+        "backend.utils.platform_detect.subprocess.run",
+        side_effect=Exception("WMI not available"),
+    )
+    def test_torch_not_installed(self, _mock_run, _mock_system):
+        """When torch is not installed, should return False without crashing."""
+        with patch.dict("sys.modules", {"torch": None}):
+            assert is_amd_gpu_windows() is False

backend/tests/test_audio_failed_generation.py

@@ -0,0 +1,164 @@
+"""
+Regression tests for GET /audio/{generation_id} on failed generations.
+
+A failed generation stores an empty ``audio_path``. Previously,
+``config.resolve_storage_path("")`` resolved to the data directory itself,
+which exists, so the route's 404 guard passed and ``FileResponse`` raised
+``RuntimeError: File at path .../data is not a file`` — a 500 instead of
+a clean 404.
+
+Usage:
+    python -m pytest backend/tests/test_audio_failed_generation.py -v
+"""
+
+import sys
+from pathlib import Path
+
+import pytest
+from fastapi import FastAPI
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+from starlette.testclient import TestClient
+
+# Repo root on sys.path so ``backend`` imports as a package (the audio
+# routes use package-relative imports).
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+from backend import config
+from backend.database import (
+    Base,
+    Generation,
+    GenerationVersion,
+    ProfileSample,
+    VoiceProfile,
+    get_db,
+)
+from backend.routes.audio import router as audio_router
+
+
+def test_resolve_storage_path_empty_returns_none():
+    """An empty stored path must not resolve to the data dir itself."""
+    assert config.resolve_storage_path("") is None
+    assert config.resolve_storage_path(None) is None
+    # Path("") is truthy, so it must be rejected via its (empty) parts.
+    assert config.resolve_storage_path(Path("")) is None
+
+
+@pytest.fixture
+def client(tmp_path, monkeypatch):
+    """Minimal app with only the audio routes and a temp sqlite DB."""
+    monkeypatch.setattr(config, "_data_dir", tmp_path)
+    # An existing directory that a stored audio_path may wrongly point to.
+    (tmp_path / "somedir").mkdir()
+
+    engine = create_engine(
+        f"sqlite:///{tmp_path / 'test.db'}",
+        connect_args={"check_same_thread": False},
+    )
+    Base.metadata.create_all(bind=engine)
+    testing_session_local = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+
+    session = testing_session_local()
+    profile = VoiceProfile(id="profile-1", name="Test Profile")
+    session.add(profile)
+
+    session.add_all(
+        [
+            Generation(
+                id="gen-failed-empty",
+                profile_id="profile-1",
+                text="failed generation",
+                audio_path="",
+                status="failed",
+                error="engine exploded",
+            ),
+            Generation(
+                id="gen-failed-null",
+                profile_id="profile-1",
+                text="failed generation",
+                audio_path=None,
+                status="failed",
+            ),
+            Generation(
+                id="gen-missing-file",
+                profile_id="profile-1",
+                text="completed but file deleted",
+                audio_path="generations/does-not-exist.wav",
+                status="completed",
+            ),
+            Generation(
+                id="gen-with-version",
+                profile_id="profile-1",
+                text="generation with a broken version",
+                audio_path="somedir",
+                status="completed",
+            ),
+            GenerationVersion(
+                id="version-dir",
+                generation_id="gen-with-version",
+                label="original",
+                audio_path="somedir",
+            ),
+            ProfileSample(
+                id="sample-dir",
+                profile_id="profile-1",
+                audio_path="somedir",
+                reference_text="sample pointing at a directory",
+            ),
+        ]
+    )
+    session.commit()
+    session.close()
+
+    app = FastAPI()
+    app.include_router(audio_router)
+
+    def override_get_db():
+        db = testing_session_local()
+        try:
+            yield db
+        finally:
+            db.close()
+
+    app.dependency_overrides[get_db] = override_get_db
+    return TestClient(app)
+
+
+@pytest.mark.parametrize("generation_id", ["gen-failed-empty", "gen-failed-null"])
+def test_failed_generation_returns_404(client, generation_id):
+    """Failed generations (empty/null audio_path) get a clean 404, not a 500."""
+    response = client.get(f"/audio/{generation_id}")
+    assert response.status_code == 404
+    assert response.json()["detail"] == "Generation failed; no audio available"
+
+
+def test_missing_audio_file_returns_404(client):
+    """A completed generation whose file vanished still 404s."""
+    response = client.get("/audio/gen-missing-file")
+    assert response.status_code == 404
+    assert response.json()["detail"] == "Audio file not found"
+
+
+def test_unknown_generation_returns_404(client):
+    response = client.get("/audio/no-such-generation")
+    assert response.status_code == 404
+    assert response.json()["detail"] == "Generation not found"
+
+
+@pytest.mark.parametrize(
+    "url",
+    [
+        "/audio/gen-with-version",
+        "/audio/version/version-dir",
+        "/samples/sample-dir",
+    ],
+)
+def test_audio_path_pointing_at_directory_returns_404(client, url):
+    """A stored path resolving to an existing directory must 404, not 500.
+
+    Guards the is_file() checks: a directory passes exists() and would
+    crash FileResponse.
+    """
+    response = client.get(url)
+    assert response.status_code == 404
+    assert response.json()["detail"] == "Audio file not found"

backend/tests/test_audioop_python313.py

@@ -0,0 +1,123 @@
+"""
+Regression tests for issue #852: audioop removed from Python 3.13 stdlib.
+
+Voice sample validation imports audioop transitively (librosa → audioread).
+The audioop-lts backport must be declared in requirements and bundled in
+PyInstaller builds on 3.13+.
+"""
+
+import re
+import sys
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from build_binary import build_server
+
+
+@pytest.fixture
+def backend_dir():
+    return Path(__file__).parent.parent
+
+
+class TestAudioopRequirements:
+    def test_requirements_declare_audioop_lts_for_python_313(self, backend_dir):
+        content = (backend_dir / "requirements.txt").read_text()
+        assert re.search(
+            r"^audioop-lts.*python_version\s*>=\s*['\"]3\.13['\"]",
+            content,
+            re.MULTILINE,
+        ), "requirements.txt must pin audioop-lts for Python 3.13+"
+
+
+@pytest.mark.skipif(sys.version_info < (3, 13), reason="Python 3.13+ only")
+class TestAudioopRuntime:
+    def test_audioop_importable(self):
+        import audioop  # noqa: F401
+
+    def test_validate_reference_wav_does_not_fail_on_missing_audioop(self, tmp_path):
+        import numpy as np
+        import soundfile as sf
+        from utils.audio import validate_and_load_reference_audio
+
+        sr = 24000
+        t = np.arange(int(sr * 3), dtype=np.float32) / sr
+        audio = (0.3 * np.sin(2 * np.pi * 220 * t)).astype(np.float32)
+        path = tmp_path / "reference.wav"
+        sf.write(str(path), audio, sr)
+
+        ok, err, out_audio, out_sr = validate_and_load_reference_audio(str(path))
+
+        assert ok, err
+        assert out_audio is not None
+        assert out_sr == sr
+        assert "audioop" not in (err or "").lower()
+
+
+class TestAudioopBuildArgs:
+    @staticmethod
+    def _hidden_imports(args):
+        imports = []
+        for i, arg in enumerate(args):
+            if arg == "--hidden-import" and i + 1 < len(args):
+                imports.append(args[i + 1])
+        return imports
+
+    def test_pyinstaller_includes_audioop_on_python_313(self):
+        class FakeVersionInfo(tuple):
+            @property
+            def major(self):
+                return self[0]
+
+            @property
+            def minor(self):
+                return self[1]
+
+            @property
+            def micro(self):
+                return self[2]
+
+        fake_313 = FakeVersionInfo((3, 13, 0, "final", 0))
+
+        with (
+            patch("build_binary.PyInstaller.__main__.run") as mock_run,
+            patch("build_binary.platform.system", return_value="Linux"),
+            patch("build_binary.is_apple_silicon", return_value=False),
+            patch("build_binary.os.chdir"),
+            patch("build_binary.sys.version_info", fake_313),
+        ):
+            build_server()
+            args = mock_run.call_args[0][0]
+
+        assert "audioop" in self._hidden_imports(args)
+
+    def test_pyinstaller_omits_audioop_on_python_312(self):
+        class FakeVersionInfo(tuple):
+            @property
+            def major(self):
+                return self[0]
+
+            @property
+            def minor(self):
+                return self[1]
+
+            @property
+            def micro(self):
+                return self[2]
+
+        fake_312 = FakeVersionInfo((3, 12, 0, "final", 0))
+
+        with (
+            patch("build_binary.PyInstaller.__main__.run") as mock_run,
+            patch("build_binary.platform.system", return_value="Linux"),
+            patch("build_binary.is_apple_silicon", return_value=False),
+            patch("build_binary.os.chdir"),
+            patch("build_binary.sys.version_info", fake_312),
+        ):
+            build_server()
+            args = mock_run.call_args[0][0]
+
+        assert "audioop" not in self._hidden_imports(args)

backend/tests/test_cuda_download.py

@@ -0,0 +1,32 @@
+import sys as py_sys
+import types
+
+import pytest
+
+from backend.services import cuda
+
+
+def test_cuda_status_reports_unsupported_linux_download(monkeypatch, tmp_path):
+    monkeypatch.setattr(cuda.sys, "platform", "linux")
+    monkeypatch.setattr(cuda, "get_data_dir", lambda: tmp_path)
+
+    status = cuda.get_cuda_status()
+
+    assert status["available"] is False
+    assert status["download_supported"] is False
+    assert status["unsupported_reason"] == cuda.CUDA_DOWNLOAD_UNSUPPORTED_REASON
+
+
+@pytest.mark.asyncio
+async def test_cuda_download_rejects_linux_before_network(monkeypatch, tmp_path):
+    monkeypatch.setattr(cuda.sys, "platform", "linux")
+    monkeypatch.setattr(cuda, "get_data_dir", lambda: tmp_path)
+
+    class UnexpectedClient:
+        def __init__(self, *args, **kwargs):
+            raise AssertionError("unsupported platforms should not start a release download")
+
+    monkeypatch.setitem(py_sys.modules, "httpx", types.SimpleNamespace(AsyncClient=UnexpectedClient))
+
+    with pytest.raises(RuntimeError, match="currently only published for Windows"):
+        await cuda._download_cuda_binary_locked("v0.5.0")

backend/tests/test_mlx_smoke.py

@@ -0,0 +1,55 @@
+"""
+Smoke test for the MLX backend dependencies on Apple Silicon.
+
+Guards the `--no-deps` install of mlx-audio/mlx-lm done by `just setup-python`
+and release.yml: those packages skip their declared dependencies (transformers
+>=5.x conflict), so a missing transitive dep only surfaces at import time.
+This test fails fast if the MLX STT/TTS entry points the backend uses stop
+importing (e.g. the `miniaudio` regression from issue #505).
+
+Usage:
+    python -m pytest backend/tests/test_mlx_smoke.py -v
+"""
+
+import platform
+import sys
+
+import pytest
+
+pytestmark = pytest.mark.skipif(
+    not (sys.platform == "darwin" and platform.machine() == "arm64"),
+    reason="MLX packages are only installed on Apple Silicon macOS",
+)
+
+
+def test_mlx_core_runs():
+    """The MLX runtime itself works (Metal array op)."""
+    import mlx.core as mx
+
+    assert mx.array([1, 2]).sum().item() == 3
+
+
+def test_mlx_audio_tts_entry_point():
+    """`from mlx_audio.tts import load` — used by MLXBackend.load_model_async."""
+    from mlx_audio.tts import load
+
+    assert callable(load)
+
+
+def test_mlx_audio_stt_entry_point():
+    """`from mlx_audio.stt import load` — used by the Whisper MLX STT path.
+
+    Importing mlx_audio.stt also pulls in miniaudio, so this catches the
+    ModuleNotFoundError from issue #505 on fresh installs.
+    """
+    from mlx_audio.stt import load
+
+    assert callable(load)
+
+
+def test_mlx_lm_entry_points():
+    """`mlx_lm.load` / `mlx_lm.generate` — used by qwen_llm_backend."""
+    from mlx_lm import generate, load
+
+    assert callable(load)
+    assert callable(generate)

backend/tests/test_mlx_thread_affinity.py

@@ -0,0 +1,128 @@
+"""Regression tests for MLX single-thread serialization.
+
+MLX's Metal stream is thread-local, so every load/generate/unload must run on
+one dedicated worker thread (issue #699), and a load+infer pair must run as one
+atomic job so a concurrent unload or different-size load can't land between the
+load and the inference that reads the model.
+
+These drive the real async orchestration on ``MLXQwenLLMBackend`` with the
+heavy mlx-lm calls faked, so they exercise the shipped code paths without
+needing MLX installed.
+"""
+
+import asyncio
+import threading
+import time
+
+import pytest
+
+from backend.backends.qwen_llm_backend import MLXQwenLLMBackend
+from backend.services import llm as llm_service
+from backend.services.mlx_thread import run_on_mlx_thread
+
+
+@pytest.mark.asyncio
+async def test_run_on_mlx_thread_uses_a_single_worker():
+    idents = set()
+
+    def record():
+        idents.add(threading.get_ident())
+
+    await asyncio.gather(*(run_on_mlx_thread(record) for _ in range(12)))
+
+    assert len(idents) == 1, "MLX work must stay pinned to one worker thread"
+    assert idents.pop() != threading.get_ident(), "MLX work must not run on the event loop thread"
+
+
+def _install_fakes(backend, worker_threads):
+    """Replace the heavy sync internals with fakes that record their thread.
+
+    ``_load_model_sync`` and ``_generate_sync`` sleep briefly so that, if the
+    load and inference of one request were ever split into separate jobs, a
+    second request could interleave and be observed.
+    """
+
+    def fake_load(model_size):
+        worker_threads.add(threading.get_ident())
+        time.sleep(0.02)
+        backend.model = {"size": model_size}
+        backend._current_model_size = model_size
+        backend.model_size = model_size
+
+    def fake_unload():
+        worker_threads.add(threading.get_ident())
+        backend.model = None
+        backend._current_model_size = None
+
+    def fake_generate(prompt, system, max_tokens, temperature, examples=None):
+        worker_threads.add(threading.get_ident())
+        # Capture the resident model, do "work", then confirm it wasn't
+        # swapped or freed underneath us — that is exactly the interleave the
+        # atomic load+infer job is meant to prevent.
+        resident = backend.model
+        assert resident is not None, "model was freed mid-generation"
+        time.sleep(0.02)
+        assert backend.model is resident, "model was swapped mid-generation"
+        return resident["size"]
+
+    backend._load_model_sync = fake_load
+    backend.unload_model = fake_unload
+    backend._generate_sync = fake_generate
+
+
+@pytest.mark.asyncio
+async def test_concurrent_generate_does_not_cross_models():
+    backend = MLXQwenLLMBackend()
+    worker_threads = set()
+    _install_fakes(backend, worker_threads)
+
+    small, large = await asyncio.gather(
+        backend.generate("a", model_size="0.6B"),
+        backend.generate("b", model_size="4B"),
+    )
+
+    assert small == "0.6B"
+    assert large == "4B"
+    assert len(worker_threads) == 1, "load and generate must share the one MLX thread"
+
+
+@pytest.mark.asyncio
+async def test_unload_cannot_free_model_mid_generation():
+    backend = MLXQwenLLMBackend()
+    worker_threads = set()
+    _install_fakes(backend, worker_threads)
+
+    await backend.load_model("0.6B")
+
+    # An unload issued while a generation is in flight must serialize behind it
+    # on the worker rather than free the model out from under it.
+    size, _ = await asyncio.gather(
+        backend.generate("a", model_size="0.6B"),
+        backend.unload(),
+    )
+
+    assert size == "0.6B"
+    assert backend.model is None, "unload should still take effect once generation completes"
+    assert len(worker_threads) == 1
+
+
+@pytest.mark.asyncio
+async def test_service_path_unload_serializes_with_generation(monkeypatch):
+    # The service unload helpers (tts/stt/llm) all route through unload_backend,
+    # which must serialize on the MLX worker rather than free the model on the
+    # event-loop thread mid-generation.
+    backend = MLXQwenLLMBackend()
+    worker_threads = set()
+    _install_fakes(backend, worker_threads)
+    monkeypatch.setattr(llm_service, "get_llm_backend", lambda: backend)
+
+    await backend.load_model("0.6B")
+
+    size, _ = await asyncio.gather(
+        backend.generate("a", model_size="0.6B"),
+        llm_service.unload_llm_model(),
+    )
+
+    assert size == "0.6B"
+    assert backend.model is None
+    assert len(worker_threads) == 1

backend/tests/test_model_status_pending_downloads.py

@@ -0,0 +1,51 @@
+"""Errored downloads must not be reported as still downloading.
+
+A failed download intentionally stays in the TaskManager with
+``status="error"`` so ``/tasks/active`` can surface the error and retry
+UI — but ``/models/status`` derives its ``downloading`` flag from the
+same list. Without a status filter, one failed download shows the model
+as "downloading" forever and masks its real cache state until the app
+restarts (issue #925, symptom reports like #181).
+"""
+
+from backend.utils.tasks import TaskManager
+
+
+def test_errored_download_is_not_pending():
+    tm = TaskManager()
+    tm.start_download("whisper-turbo")
+    assert [t.model_name for t in tm.get_pending_downloads()] == ["whisper-turbo"]
+
+    tm.error_download("whisper-turbo", "boom")
+
+    assert tm.get_pending_downloads() == []
+    # Still visible to /tasks/active for the error/retry UI.
+    active = tm.get_active_downloads()
+    assert [t.model_name for t in active] == ["whisper-turbo"]
+    assert active[0].status == "error"
+    assert active[0].error == "boom"
+
+
+def test_retry_after_error_is_pending_again():
+    tm = TaskManager()
+    tm.start_download("qwen3-4b")
+    tm.error_download("qwen3-4b", "boom")
+    tm.start_download("qwen3-4b")
+    assert [t.model_name for t in tm.get_pending_downloads()] == ["qwen3-4b"]
+
+
+def test_completed_download_is_removed_everywhere():
+    tm = TaskManager()
+    tm.start_download("whisper-turbo")
+    tm.complete_download("whisper-turbo")
+    assert tm.get_pending_downloads() == []
+    assert tm.get_active_downloads() == []
+
+
+def test_cancel_dismisses_errored_download():
+    tm = TaskManager()
+    tm.start_download("whisper-turbo")
+    tm.error_download("whisper-turbo", "boom")
+    assert tm.cancel_download("whisper-turbo") is True
+    assert tm.get_active_downloads() == []
+    assert tm.get_pending_downloads() == []

backend/tests/test_package_rocm.py

@@ -0,0 +1,121 @@
+"""
+Tests for scripts/package_rocm.py — the ROCm onedir → server + libs splitter.
+
+The classifier can't be validated against a real AMD build on CI hardware, so
+these tests pin the file-classification rules against a synthetic onedir layout
+that mirrors the PyInstaller --rocm output (torch/lib HIP DLLs + bundled
+rocm_sdk runtime packages).
+
+Usage:
+    python -m pytest backend/tests/test_package_rocm.py -v
+"""
+
+import importlib.util
+import tarfile
+from pathlib import Path
+
+import pytest
+
+_PACKAGE_ROCM = Path(__file__).resolve().parents[2] / "scripts" / "package_rocm.py"
+_spec = importlib.util.spec_from_file_location("package_rocm", _PACKAGE_ROCM)
+package_rocm = importlib.util.module_from_spec(_spec)
+_spec.loader.exec_module(package_rocm)
+
+
+class TestIsRocmFile:
+    """Classification of individual files into core vs ROCm libs."""
+
+    @pytest.mark.parametrize(
+        "rel_path",
+        [
+            "_internal/torch/lib/amdhip64.dll",
+            "_internal/torch/lib/rocblas.dll",
+            "_internal/torch/lib/hipblaslt.dll",
+            "_internal/torch/lib/miopen.dll",
+            "_internal/_rocm_sdk_core/amd_comgr.dll",
+            "_internal/_rocm_sdk_libraries_custom/lib/rocblas/library/TensileLibrary.dat",
+            "_internal/_rocm_sdk_libraries_custom/lib/miopen/db/kernels.kdb",
+            # Windows path separators must be handled too.
+            "_internal\\torch\\lib\\rccl.dll",
+        ],
+    )
+    def test_runtime_files_are_rocm(self, rel_path):
+        assert package_rocm.is_rocm_file(rel_path) is True
+
+    @pytest.mark.parametrize(
+        "rel_path",
+        [
+            "voicebox-server-rocm.exe",
+            "_internal/python312.dll",
+            "_internal/torch/lib/torch_cpu.dll",
+            "_internal/torch/lib/c10.dll",
+            # Pure-python rocm_sdk glue stays in the core, even under an SDK dir.
+            "_internal/rocm_sdk/__init__.py",
+            "_internal/_rocm_sdk_core/_dist_info.py",
+            "_internal/torch/_inductor/codegen/something.py",
+        ],
+    )
+    def test_core_files_are_not_rocm(self, rel_path):
+        assert package_rocm.is_rocm_file(rel_path) is False
+
+
+def _write(path: Path, content: bytes = b"x"):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_bytes(content)
+
+
+class TestPackage:
+    """End-to-end split of a synthetic onedir into the two archives."""
+
+    def test_split_and_manifest(self, tmp_path):
+        onedir = tmp_path / "voicebox-server-rocm"
+        _write(onedir / "voicebox-server-rocm.exe")
+        _write(onedir / "_internal" / "python312.dll")
+        _write(onedir / "_internal" / "rocm_sdk" / "__init__.py")
+        _write(onedir / "_internal" / "torch" / "lib" / "torch_cpu.dll")
+        _write(onedir / "_internal" / "torch" / "lib" / "amdhip64.dll")
+        _write(onedir / "_internal" / "_rocm_sdk_core" / "miopen.dll")
+        _write(
+            onedir
+            / "_internal"
+            / "_rocm_sdk_libraries_custom"
+            / "lib"
+            / "rocblas"
+            / "library"
+            / "TensileLibrary.dat"
+        )
+
+        out = tmp_path / "release-assets"
+        package_rocm.package(onedir, out, "rocm7.2-v1", ">=2.9.0,<2.10.0")
+
+        server = out / "voicebox-server-rocm.tar.gz"
+        libs = out / "rocm-libs-rocm7.2-v1.tar.gz"
+        assert server.exists()
+        assert libs.exists()
+        assert (out / "voicebox-server-rocm.tar.gz.sha256").exists()
+        assert (out / "rocm-libs-rocm7.2-v1.tar.gz.sha256").exists()
+
+        with tarfile.open(libs) as tar:
+            lib_names = set(tar.getnames())
+        with tarfile.open(server) as tar:
+            core_names = set(tar.getnames())
+
+        assert "_internal/torch/lib/amdhip64.dll" in lib_names
+        assert "_internal/_rocm_sdk_core/miopen.dll" in lib_names
+        assert (
+            "_internal/_rocm_sdk_libraries_custom/lib/rocblas/library/TensileLibrary.dat"
+            in lib_names
+        )
+        assert "voicebox-server-rocm.exe" in core_names
+        assert "_internal/torch/lib/torch_cpu.dll" in core_names
+        assert "_internal/rocm_sdk/__init__.py" in core_names
+        # Archives must be disjoint.
+        assert lib_names.isdisjoint(core_names)
+
+    def test_empty_rocm_set_exits(self, tmp_path):
+        onedir = tmp_path / "voicebox-server-rocm"
+        _write(onedir / "voicebox-server-rocm.exe")
+        _write(onedir / "_internal" / "torch" / "lib" / "torch_cpu.dll")
+
+        with pytest.raises(SystemExit):
+            package_rocm.package(onedir, tmp_path / "out", "rocm7.2-v1", ">=2.9.0,<2.10.0")

backend/tests/test_rocm_backends.py

@@ -0,0 +1,68 @@
+"""
+Phase 2.2 Test: Backend ROCm compatibility.
+
+Validates that check_cuda_compatibility() and other backend utilities
+behave correctly on ROCm/AMD hardware.
+
+Usage:
+    python -m pytest backend/tests/test_rocm_backends.py -v
+"""
+
+from unittest.mock import patch
+
+import pytest
+
+
+class TestCheckCudaCompatibility:
+    """Unit tests for check_cuda_compatibility with ROCm awareness."""
+
+    def test_no_gpu_returns_compatible(self):
+        from backend.backends.base import check_cuda_compatibility
+
+        with patch("torch.cuda.is_available", return_value=False):
+            compatible, warning = check_cuda_compatibility()
+            assert compatible is True
+            assert warning is None
+
+    def test_rocm_skips_compute_check(self):
+        """On ROCm, the NVIDIA compute-capability check should be skipped."""
+        from backend.backends.base import check_cuda_compatibility
+
+        with patch("torch.cuda.is_available", return_value=True):
+            with patch("torch.version.hip", "6.2.41133"):
+                compatible, warning = check_cuda_compatibility()
+                assert compatible is True
+                assert warning is None
+
+    def test_cuda_compatible_arch(self):
+        from backend.backends.base import check_cuda_compatibility
+
+        with patch("torch.cuda.is_available", return_value=True):
+            with patch("torch.version.hip", None):
+                with patch("torch.cuda.get_device_capability", return_value=(8, 6)):
+                    with patch("torch.cuda.get_device_name", return_value="NVIDIA GeForce RTX 3060"):
+                        with patch.object(
+                            __import__("torch").cuda, "_get_arch_list",
+                            return_value=["sm_80", "sm_86", "sm_89"],
+                            create=True,
+                        ):
+                            compatible, warning = check_cuda_compatibility()
+                            assert compatible is True
+                            assert warning is None
+
+    def test_cuda_incompatible_arch(self):
+        from backend.backends.base import check_cuda_compatibility
+
+        with patch("torch.cuda.is_available", return_value=True):
+            with patch("torch.version.hip", None):
+                with patch("torch.cuda.get_device_capability", return_value=(9, 0)):
+                    with patch("torch.cuda.get_device_name", return_value="NVIDIA GeForce RTX 4090"):
+                        with patch.object(
+                            __import__("torch").cuda, "_get_arch_list",
+                            return_value=["sm_80", "sm_86"],
+                            create=True,
+                        ):
+                            compatible, warning = check_cuda_compatibility()
+                            assert compatible is False
+                            assert warning is not None
+                            assert "not supported" in warning

backend/tests/test_rocm_build.py

@@ -0,0 +1,129 @@
+"""
+Phase 1.2 Test: ROCm build script configuration.
+
+Validates that build_binary.py --rocm generates the correct PyInstaller
+arguments and optionally performs a true E2E build.
+
+Usage:
+    python -m pytest backend/tests/test_rocm_build.py -v
+    python -m pytest backend/tests/test_rocm_build.py -v -m "slow"    # include E2E
+"""
+
+import subprocess
+import sys
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from build_binary import build_server
+
+
+class TestRocmBuildArgs:
+    """Validate PyInstaller arguments for ROCm builds."""
+
+    @pytest.fixture
+    def captured_args(self):
+        """Run build_server(rocm=True) with mocked PyInstaller and return args."""
+        with (
+            patch("build_binary.PyInstaller.__main__.run") as mock_run,
+            patch("build_binary.platform.system", return_value="Linux"),
+            patch("build_binary.os.chdir"),
+        ):
+            build_server(rocm=True)
+            return mock_run.call_args[0][0]
+
+    def test_binary_name(self, captured_args):
+        idx = captured_args.index("--name")
+        assert captured_args[idx + 1] == "voicebox-server-rocm"
+
+    def test_pack_mode_is_onedir(self, captured_args):
+        assert "--onedir" in captured_args
+        assert "--onefile" not in captured_args
+
+    def test_hidden_imports_cuda(self, captured_args):
+        """ROCm builds must include torch.cuda hidden imports."""
+        assert "torch.cuda" in captured_args
+
+    def test_no_cudnn_hidden_import_for_rocm(self, captured_args):
+        """ROCm builds must NOT include NVIDIA-specific cudnn hidden imports."""
+        assert "torch.backends.cudnn" not in captured_args
+
+    def test_nvidia_excludes_present(self, captured_args):
+        """ROCm builds must exclude nvidia packages to avoid bundling ~3GB of bloat."""
+        excludes = []
+        for i, arg in enumerate(captured_args):
+            if arg == "--exclude-module":
+                excludes.append(captured_args[i + 1])
+        assert "nvidia" in excludes
+        assert "nvidia.cudnn" in excludes
+
+
+class TestRocmBuildCli:
+    """Validate CLI argument parsing for --rocm."""
+
+    def test_rocm_flag_parses(self):
+        build_script = Path(__file__).parent.parent / "build_binary.py"
+        result = subprocess.run(
+            [sys.executable, str(build_script), "--rocm", "--help"],
+            capture_output=True,
+            text=True,
+        )
+        assert result.returncode == 0
+        assert "--rocm" in result.stdout
+
+    def test_cannot_combine_cuda_and_rocm(self):
+        """Building with both CUDA and ROCm should raise ValueError."""
+        with pytest.raises(ValueError, match="Cannot build with both CUDA and ROCm"):
+            build_server(cuda=True, rocm=True)
+
+
+@pytest.mark.slow()
+@pytest.mark.skipif(sys.platform != "win32", reason="ROCm build E2E only runs on Windows")
+class TestRocmBuildE2E:
+    """
+    True end-to-end build test.
+    Executes build_binary.py --rocm, verifies the binary exists, and runs it
+    with --help to confirm it boots without import errors.
+    """
+
+    def test_rocm_binary_compiles_and_runs(self, tmp_path):
+        backend_dir = Path(__file__).parent.parent
+        build_script = backend_dir / "build_binary.py"
+        dist_dir = backend_dir / "dist"
+        binary_dir = dist_dir / "voicebox-server-rocm"
+        binary_exe = binary_dir / "voicebox-server-rocm.exe"
+
+        # Clean previous dist if it exists to ensure a fresh build
+        if binary_dir.exists():
+            import shutil
+            shutil.rmtree(binary_dir)
+
+        # Run the full build (this can take several minutes)
+        result = subprocess.run(
+            [sys.executable, str(build_script), "--rocm"],
+            capture_output=True,
+            text=True,
+            cwd=str(backend_dir),
+            timeout=900,
+        )
+
+        assert result.returncode == 0, (
+            f"Build failed with stdout:\n{result.stdout}\nstderr:\n{result.stderr}"
+        )
+        assert binary_exe.exists(), (
+            f"Expected binary not found at {binary_exe}"
+        )
+
+        # Run the binary with --help to ensure it boots without import errors
+        run_result = subprocess.run(
+            [str(binary_exe), "--help"],
+            capture_output=True,
+            text=True,
+            timeout=60,
+        )
+
+        # A frozen binary may not have argparse help, but it should not crash
+        # with a ModuleNotFoundError or similar import error.
+        assert "ModuleNotFoundError" not in run_result.stderr
+        assert "ImportError" not in run_result.stderr

backend/tests/test_rocm_download.py

@@ -0,0 +1,203 @@
+"""
+Tests for the ROCm backend download service.
+
+Mocks httpx to verify download, extraction, and progress reporting
+without hitting the network.
+"""
+
+import json
+import tarfile
+import tempfile
+from io import BytesIO
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.services import rocm
+from backend.utils.progress import get_progress_manager
+
+
+@pytest.fixture(autouse=True)
+def reset_progress_manager():
+    """Reset the global progress manager before each test."""
+    import backend.utils.progress
+    backend.utils.progress._progress_manager = None
+    yield
+    backend.utils.progress._progress_manager = None
+
+
+@pytest.fixture
+def mock_backends_dir(tmp_path: Path, monkeypatch):
+    """Patch get_data_dir so downloads land in a temp directory."""
+    monkeypatch.setattr(rocm, "get_backends_dir", lambda: tmp_path / "backends")
+    return tmp_path / "backends"
+
+
+@pytest.fixture
+def fake_tar_gz():
+    """Create an in-memory .tar.gz archive containing a dummy file."""
+    buf = BytesIO()
+    with tarfile.open(fileobj=buf, mode="w:gz") as tar:
+        data = b"fake binary content"
+        info = tarfile.TarInfo(name="voicebox-server-rocm.exe")
+        info.size = len(data)
+        tar.addfile(info, BytesIO(data))
+    buf.seek(0)
+    return buf.read()
+
+
+@pytest.fixture
+def fake_sha256():
+    """Return a dummy SHA-256 hex string."""
+    return "a" * 64
+
+
+class FakeResponse:
+    """Minimal fake for httpx.Response."""
+
+    def __init__(self, content: bytes = b"", status_code: int = 200, headers: dict | None = None):
+        self.content = content
+        self.status_code = status_code
+        self.headers = headers or {}
+
+    def raise_for_status(self):
+        if self.status_code >= 400:
+            raise Exception(f"HTTP {self.status_code}")
+
+    def iter_bytes(self, chunk_size: int = 1024):
+        for i in range(0, len(self.content), chunk_size):
+            yield self.content[i : i + chunk_size]
+
+    async def aiter_bytes(self, chunk_size: int = 1024):
+        for i in range(0, len(self.content), chunk_size):
+            yield self.content[i : i + chunk_size]
+
+    @property
+    def text(self):
+        return self.content.decode()
+
+
+class FakeHttpxClient:
+    """Minimal fake for httpx.AsyncClient."""
+
+    def __init__(self, responses: dict[str, FakeResponse]):
+        self._responses = responses
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, *args):
+        return False
+
+    async def head(self, url: str):
+        return self._responses.get(url, FakeResponse(status_code=404))
+
+    async def get(self, url: str):
+        return self._responses.get(url, FakeResponse(status_code=404))
+
+    def stream(self, method: str, url: str):
+        resp = self._responses.get(url, FakeResponse(status_code=404))
+        resp.raise_for_status()
+
+        class _Streamer:
+            async def __aenter__(self):
+                return resp
+
+            async def __aexit__(self, *args):
+                return False
+
+            async def aiter_bytes(self, chunk_size: int = 1024):
+                for i in range(0, len(resp.content), chunk_size):
+                    yield resp.content[i : i + chunk_size]
+
+        return _Streamer()
+
+
+@pytest.mark.asyncio
+async def test_get_rocm_status_not_installed(mock_backends_dir):
+    status = rocm.get_rocm_status()
+    assert status["available"] is False
+    assert status["active"] is False
+    assert status["binary_path"] is None
+    assert status["downloading"] is False
+
+
+@pytest.mark.asyncio
+async def test_download_rocm_binary_progress_reporting(mock_backends_dir, fake_tar_gz, fake_sha256):
+    """
+    Verify that download_rocm_binary():
+    1. Downloads the server archive and ROCm libs archive.
+    2. Extracts them into the backends/rocm directory.
+    3. Reports progress via the progress_manager.
+    """
+    import hashlib
+
+    server_sha = hashlib.sha256(fake_tar_gz).hexdigest()
+    libs_sha = hashlib.sha256(fake_tar_gz).hexdigest()
+
+    responses = {
+        "https://github.com/jamiepine/voicebox/releases/download/v0.2.3/voicebox-server-rocm.tar.gz": FakeResponse(
+            content=fake_tar_gz,
+            headers={"content-length": str(len(fake_tar_gz))},
+        ),
+        "https://github.com/jamiepine/voicebox/releases/download/v0.2.3/voicebox-server-rocm.tar.gz.sha256": FakeResponse(
+            content=f"{server_sha}  voicebox-server-rocm.tar.gz\n".encode(),
+        ),
+        f"https://github.com/jamiepine/voicebox/releases/download/v0.2.3/rocm-libs-{rocm.ROCM_LIBS_VERSION}.tar.gz": FakeResponse(
+            content=fake_tar_gz,
+            headers={"content-length": str(len(fake_tar_gz))},
+        ),
+        f"https://github.com/jamiepine/voicebox/releases/download/v0.2.3/rocm-libs-{rocm.ROCM_LIBS_VERSION}.tar.gz.sha256": FakeResponse(
+            content=f"{libs_sha}  rocm-libs.tar.gz\n".encode(),
+        ),
+    }
+
+    fake_client = FakeHttpxClient(responses)
+
+    with patch("httpx.AsyncClient", return_value=fake_client):
+        await rocm.download_rocm_binary(version="v0.2.3")
+
+    # Verify extraction
+    rocm_dir = rocm.get_rocm_dir()
+    assert (rocm_dir / "voicebox-server-rocm.exe").exists()
+
+    # Verify manifest written
+    manifest_path = rocm.get_rocm_libs_manifest_path()
+    assert manifest_path.exists()
+    data = json.loads(manifest_path.read_text())
+    assert data["version"] == rocm.ROCM_LIBS_VERSION
+
+    # Verify progress was reported
+    progress = get_progress_manager().get_progress("rocm-backend")
+    assert progress is not None
+    assert progress["status"] == "complete"
+    assert progress["progress"] == 100.0
+
+
+@pytest.mark.asyncio
+async def test_is_rocm_active(mock_backends_dir, monkeypatch):
+    monkeypatch.setenv("VOICEBOX_BACKEND_VARIANT", "rocm")
+    assert rocm.is_rocm_active() is True
+
+    monkeypatch.setenv("VOICEBOX_BACKEND_VARIANT", "cpu")
+    assert rocm.is_rocm_active() is False
+
+    monkeypatch.delenv("VOICEBOX_BACKEND_VARIANT", raising=False)
+    assert rocm.is_rocm_active() is False
+
+
+@pytest.mark.asyncio
+async def test_delete_rocm_binary(mock_backends_dir, fake_tar_gz):
+    """Test deleting the ROCm backend directory."""
+    rocm_dir = rocm.get_rocm_dir()
+    rocm_dir.mkdir(parents=True, exist_ok=True)
+    (rocm_dir / "dummy.txt").write_text("hello")
+
+    result = await rocm.delete_rocm_binary()
+    assert result is True
+    assert not rocm_dir.exists()
+
+    # Deleting again should return False
+    result = await rocm.delete_rocm_binary()
+    assert result is False

backend/tests/test_rocm_requirements.py

@@ -0,0 +1,130 @@
+"""
+Phase 1.1 Test: ROCm requirements installation.
+
+Validates that requirements-rocm.txt correctly installs ROCm-enabled PyTorch
+and that torch.cuda.is_available() returns True on AMD hardware.
+
+Usage:
+    python -m pytest backend/tests/test_rocm_requirements.py -v
+"""
+
+import os
+import platform
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+
+import pytest
+
+
+def _has_amd_hardware():
+    """Check if AMD GPU hardware is present on Windows."""
+    if platform.system() != "Windows":
+        return False
+    try:
+        result = subprocess.run(
+            [
+                "powershell",
+                "-Command",
+                "Get-WmiObject Win32_VideoController | "
+                "Where-Object {$_.AdapterCompatibility -like '*AMD*'} | "
+                "Measure-Object | Select-Object -ExpandProperty Count",
+            ],
+            capture_output=True,
+            text=True,
+            check=True,
+        )
+        return int(result.stdout.strip()) > 0
+    except Exception:
+        return False
+
+
+@pytest.fixture()
+def backend_dir():
+    return Path(__file__).parent.parent
+
+
+class TestRocmRequirements:
+    """Validate requirements-rocm.txt content and installation."""
+
+    def test_requirements_file_exists(self, backend_dir):
+        req_file = backend_dir / "requirements-rocm.txt"
+        assert req_file.exists(), "requirements-rocm.txt must exist"
+
+    def test_requirements_file_content(self, backend_dir):
+        import re
+        req_file = backend_dir / "requirements-rocm.txt"
+        content = req_file.read_text()
+        assert "rocm7.2" in content, "Must point to ROCm 7.2 extra index"
+        # Parse exact package names to avoid false positives from URL substrings
+        package_names = re.findall(r"^([A-Za-z][A-Za-z0-9_-]*)", content, re.MULTILINE)
+        assert "torch" in package_names, "Must include torch package"
+        assert "torchaudio" in package_names, "Must include torchaudio package"
+        assert "torchvision" in package_names, "Must include torchvision package"
+
+    @pytest.mark.timeout(900)
+    @pytest.mark.skipif(
+        not os.environ.get("VOICEBOX_TEST_ROCM_INSTALL"),
+        reason="Set VOICEBOX_TEST_ROCM_INSTALL=1 to run the heavy install test",
+    )
+    def test_rocm_torch_installs_and_detects_amd(self, backend_dir):
+        """
+        Create a temporary venv, install requirements-rocm.txt, and verify
+        torch.cuda.is_available() returns True on AMD hardware.
+        """
+        req_file = backend_dir / "requirements-rocm.txt"
+        has_amd = _has_amd_hardware()
+
+        with tempfile.TemporaryDirectory() as tmpdir:
+            venv_dir = Path(tmpdir) / "venv"
+            subprocess.run(
+                [sys.executable, "-m", "venv", str(venv_dir)],
+                check=True,
+            )
+
+            if sys.platform == "win32":
+                venv_python = venv_dir / "Scripts" / "python.exe"
+            else:
+                venv_python = venv_dir / "bin" / "python"
+
+            # Upgrade pip to avoid resolver issues
+            subprocess.run(
+                [str(venv_python), "-m", "pip", "install", "--upgrade", "pip"],
+                check=True,
+            )
+
+            # Install ROCm requirements
+            subprocess.run(
+                [str(venv_python), "-m", "pip", "install", "-r", str(req_file)],
+                check=True,
+            )
+
+            # Verify torch imports and cuda availability
+            result = subprocess.run(
+                [
+                    str(venv_python),
+                    "-c",
+                    "import torch; print(torch.__version__); print(torch.cuda.is_available())",
+                ],
+                capture_output=True,
+                text=True,
+                check=True,
+            )
+
+            lines = result.stdout.strip().splitlines()
+            assert len(lines) >= 2, f"Unexpected output: {result.stdout}"
+            torch_version = lines[0]
+            cuda_available = lines[1] == "True"
+
+            # The honest test: on AMD hardware ROCm torch should report cuda available
+            if has_amd:
+                assert cuda_available, (
+                    f"AMD hardware detected but torch.cuda.is_available() returned False. "
+                    f"torch version: {torch_version}, stderr: {result.stderr}"
+                )
+            else:
+                assert not cuda_available, (
+                    f"No AMD hardware detected but torch.cuda.is_available() returned True. "
+                    f"torch version: {torch_version}"
+                )

backend/utils/platform_detect.py

@@ -3,19 +3,72 @@ Platform detection for backend selection.
 """
 
 import platform
+import subprocess
+from functools import lru_cache
 from typing import Literal
 
 
 def is_apple_silicon() -> bool:
     """
     Check if running on Apple Silicon (arm64 macOS).
-    
+
     Returns:
         True if on Apple Silicon, False otherwise
     """
     return platform.system() == "Darwin" and platform.machine() == "arm64"
 
 
+@lru_cache(maxsize=1)
+def is_amd_gpu_windows() -> bool:
+    """
+    Check if the primary GPU on Windows is an AMD Radeon card.
+
+    Uses WMI to query Win32_VideoController, with a fallback to
+    torch.cuda.get_device_name(0) if WMI is unavailable.  This is
+    useful for deciding whether the ROCm backend is appropriate.
+
+    Result is cached since it shells out to PowerShell and the GPU
+    does not change at runtime — safe to call from the health path.
+
+    Returns:
+        True if an AMD GPU is detected on Windows, False otherwise.
+    """
+    if platform.system() != "Windows":
+        return False
+
+    # Primary method: WMI query for AMD adapters
+    try:
+        result = subprocess.run(
+            [
+                "powershell",
+                "-Command",
+                "Get-CimInstance Win32_VideoController | "
+                "Where-Object {$_.AdapterCompatibility -like '*AMD*'} | "
+                "Measure-Object | Select-Object -ExpandProperty Count",
+            ],
+            capture_output=True,
+            text=True,
+            check=True,
+        )
+        if int(result.stdout.strip()) > 0:
+            return True
+    except Exception:
+        pass
+
+    # Fallback: torch.cuda.get_device_name(0) (works for ROCm/HIP too)
+    try:
+        import torch
+
+        if torch.cuda.is_available():
+            name = torch.cuda.get_device_name(0)
+            if "Radeon" in name or "AMD" in name:
+                return True
+    except Exception:
+        pass
+
+    return False
+
+
 def get_backend_type() -> Literal["mlx", "pytorch"]:
     """
     Detect the best backend for the current platform.

backend/utils/tasks.py

@@ -67,6 +67,19 @@ class TaskManager:
     def get_active_downloads(self) -> List[DownloadTask]:
         """Get all active downloads."""
         return list(self._active_downloads.values())
+
+    def get_pending_downloads(self) -> List[DownloadTask]:
+        """Get downloads that are still in flight.
+
+        Excludes errored tasks, which stay in the active list so the
+        error/retry UI can show them but must not be reported as
+        "downloading" by /models/status.
+        """
+        return [
+            task
+            for task in self._active_downloads.values()
+            if task.status in ("downloading", "extracting")
+        ]
     
     def get_active_generations(self) -> List[GenerationTask]:
         """Get all active generations."""

bun.lock

@@ -57,7 +57,6 @@
         "react-dom": "^18.3.0",
         "react-hook-form": "^7.53.0",
         "react-i18next": "^17.0.4",
-        "react-qr-code": "^2.0.18",
         "react-sound-visualizer": "^1.4.0",
         "tailwind-merge": "^2.5.4",
         "wavesurfer.js": "^7.0.0",
@@ -74,37 +73,6 @@
         "vite": "^5.4.0",
       },
     },
-    "landing": {
-      "name": "@voicebox/landing",
-      "version": "0.5.0",
-      "dependencies": {
-        "@fontsource/space-grotesk": "^5.2.10",
-        "@icons-pack/react-simple-icons": "^13.13.0",
-        "@radix-ui/react-separator": "^1.1.8",
-        "@radix-ui/react-slot": "^1.2.4",
-        "autoprefixer": "^10.4.17",
-        "class-variance-authority": "^0.7.1",
-        "clsx": "^2.1.1",
-        "framer-motion": "^12.36.0",
-        "gray-matter": "^4.0.3",
-        "lucide-react": "^0.316.0",
-        "marked": "^18.0.5",
-        "next": "^16.1.3",
-        "postcss": "^8.4.33",
-        "react": "^18.2.0",
-        "react-dom": "^18.2.0",
-        "tailwind-merge": "^3.4.0",
-        "tailwindcss": "^3.4.1",
-        "tailwindcss-animate": "^1.0.7",
-        "wavesurfer.js": "^7.12.2",
-      },
-      "devDependencies": {
-        "@types/node": "^20.11.5",
-        "@types/react": "^18.2.48",
-        "@types/react-dom": "^18.2.18",
-        "typescript": "^5.3.3",
-      },
-    },
     "tauri": {
       "name": "@voicebox/tauri",
       "version": "0.5.0",
@@ -154,8 +122,6 @@
     },
   },
   "packages": {
-    "@alloc/quick-lru": ["@alloc/[email protected]", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],
-
     "@babel/code-frame": ["@babel/[email protected]", "", { "dependencies": { "@babel/helper-validator-identifier": "^7.28.5", "js-tokens": "^4.0.0", "picocolors": "^1.1.1" } }, "sha512-JYgintcMjRiCvS8mMECzaEn+m3PfoQiyqukOMCCVQtoJGYJw8j/8LBJEiqkHLkfwCcs74E3pbAUFNg7d9VNJ+Q=="],
 
     "@babel/compat-data": ["@babel/[email protected]", "", {}, "sha512-2lfu57JtzctfIrcGMz992hyLlByuzgIk58+hhGCxjKZ3rWI82NnVLjXcaTqkI2NvlcvOskZaiZ5kjUALo3Lpxg=="],
@@ -222,8 +188,6 @@
 
     "@dnd-kit/utilities": ["@dnd-kit/[email protected]", "", { "dependencies": { "tslib": "^2.0.0" }, "peerDependencies": { "react": ">=16.8.0" } }, "sha512-+MKAJEOfaBe5SmV6t34p80MMKhjvUz0vRrvVJbPT0WElzaOJ/1xs+D+KDv+tD/NE5ujfrChEcshd4fLn0wpiqg=="],
 
-    "@emnapi/runtime": ["@emnapi/[email protected]", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-mehfKSMWjjNol8659Z8KxEMrdSJDDot5SXMq00dM8BN4o+CLNXQ0xH2V7EchNHV4RmbZLmmPdEaXZc5H2FXmDg=="],
-
     "@esbuild/aix-ppc64": ["@esbuild/[email protected]", "", { "os": "aix", "cpu": "ppc64" }, "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ=="],
 
     "@esbuild/android-arm": ["@esbuild/[email protected]", "", { "os": "android", "cpu": "arm" }, "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg=="],
@@ -286,8 +250,6 @@
 
     "@floating-ui/utils": ["@floating-ui/[email protected]", "", {}, "sha512-aGTxbpbg8/b5JfU1HXSrbH3wXZuLPJcNEcZQFMxLs3oSzgtVu6nFPkbbGGUvBcUjKV2YyB9Wxxabo+HEH9tcRQ=="],
 
-    "@fontsource/space-grotesk": ["@fontsource/[email protected]", "", {}, "sha512-XNXEbT74OIITPqw2H6HXwPDp85fy43uxfBwFR5PU+9sLnjuLj12KlhVM9nZVN6q6dlKjkuN8JisW/OBxwxgUew=="],
-
     "@hookform/resolvers": ["@hookform/[email protected]", "", { "peerDependencies": { "react-hook-form": "^7.0.0" } }, "sha512-79Dv+3mDF7i+2ajj7SkypSKHhl1cbln1OGavqrsF7p6mbUv11xpqpacPsGDCTRvCSjEEIez2ef1NveSVL3b0Ag=="],
 
     "@humanwhocodes/config-array": ["@humanwhocodes/[email protected]", "", { "dependencies": { "@humanwhocodes/object-schema": "^2.0.3", "debug": "^4.3.1", "minimatch": "^3.0.5" } }, "sha512-DZLEEqFWQFiyK6h5YIeynKx7JlvCYWL0cImfSRXZ9l4Sg2efkFGTuFf6vzXjK1cq6IYkU+Eg/JizXw+TD2vRNw=="],
@@ -296,58 +258,6 @@
 
     "@humanwhocodes/object-schema": ["@humanwhocodes/[email protected]", "", {}, "sha512-93zYdMES/c1D69yZiKDBj0V24vqNzB/koF26KPaagAfd3P/4gUlh3Dys5ogAK+Exi9QyzlD8x/08Zt7wIKcDcA=="],
 
-    "@icons-pack/react-simple-icons": ["@icons-pack/[email protected]", "", { "peerDependencies": { "react": "^16.13 || ^17 || ^18 || ^19" } }, "sha512-B5HhQMIpcSH4z8IZ8HFhD59CboHceKYMpPC9kAwGyKntvPdyJJv26DLu4Z1wAjcCLyrJhf11tMhiQGom9Rxb9g=="],
-
-    "@img/colour": ["@img/[email protected]", "", {}, "sha512-A5P/LfWGFSl6nsckYtjw9da+19jB8hkJ6ACTGcDfEJ0aE+l2n2El7dsVM7UVHZQ9s2lmYMWlrS21YLy2IR1LUw=="],
-
-    "@img/sharp-darwin-arm64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-arm64": "1.2.4" }, "os": "darwin", "cpu": "arm64" }, "sha512-imtQ3WMJXbMY4fxb/Ndp6HBTNVtWCUI0WdobyheGf5+ad6xX8VIDO8u2xE4qc/fr08CKG/7dDseFtn6M6g/r3w=="],
-
-    "@img/sharp-darwin-x64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-x64": "1.2.4" }, "os": "darwin", "cpu": "x64" }, "sha512-YNEFAF/4KQ/PeW0N+r+aVVsoIY0/qxxikF2SWdp+NRkmMB7y9LBZAVqQ4yhGCm/H3H270OSykqmQMKLBhBJDEw=="],
-
-    "@img/sharp-libvips-darwin-arm64": ["@img/[email protected]", "", { "os": "darwin", "cpu": "arm64" }, "sha512-zqjjo7RatFfFoP0MkQ51jfuFZBnVE2pRiaydKJ1G/rHZvnsrHAOcQALIi9sA5co5xenQdTugCvtb1cuf78Vf4g=="],
-
-    "@img/sharp-libvips-darwin-x64": ["@img/[email protected]", "", { "os": "darwin", "cpu": "x64" }, "sha512-1IOd5xfVhlGwX+zXv2N93k0yMONvUlANylbJw1eTah8K/Jtpi15KC+WSiaX/nBmbm2HxRM1gZ0nSdjSsrZbGKg=="],
-
-    "@img/sharp-libvips-linux-arm": ["@img/[email protected]", "", { "os": "linux", "cpu": "arm" }, "sha512-bFI7xcKFELdiNCVov8e44Ia4u2byA+l3XtsAj+Q8tfCwO6BQ8iDojYdvoPMqsKDkuoOo+X6HZA0s0q11ANMQ8A=="],
-
-    "@img/sharp-libvips-linux-arm64": ["@img/[email protected]", "", { "os": "linux", "cpu": "arm64" }, "sha512-excjX8DfsIcJ10x1Kzr4RcWe1edC9PquDRRPx3YVCvQv+U5p7Yin2s32ftzikXojb1PIFc/9Mt28/y+iRklkrw=="],
-
-    "@img/sharp-libvips-linux-ppc64": ["@img/[email protected]", "", { "os": "linux", "cpu": "ppc64" }, "sha512-FMuvGijLDYG6lW+b/UvyilUWu5Ayu+3r2d1S8notiGCIyYU/76eig1UfMmkZ7vwgOrzKzlQbFSuQfgm7GYUPpA=="],
-
-    "@img/sharp-libvips-linux-riscv64": ["@img/[email protected]", "", { "os": "linux", "cpu": "none" }, "sha512-oVDbcR4zUC0ce82teubSm+x6ETixtKZBh/qbREIOcI3cULzDyb18Sr/Wcyx7NRQeQzOiHTNbZFF1UwPS2scyGA=="],
-
-    "@img/sharp-libvips-linux-s390x": ["@img/[email protected]", "", { "os": "linux", "cpu": "s390x" }, "sha512-qmp9VrzgPgMoGZyPvrQHqk02uyjA0/QrTO26Tqk6l4ZV0MPWIW6LTkqOIov+J1yEu7MbFQaDpwdwJKhbJvuRxQ=="],
-
-    "@img/sharp-libvips-linux-x64": ["@img/[email protected]", "", { "os": "linux", "cpu": "x64" }, "sha512-tJxiiLsmHc9Ax1bz3oaOYBURTXGIRDODBqhveVHonrHJ9/+k89qbLl0bcJns+e4t4rvaNBxaEZsFtSfAdquPrw=="],
-
-    "@img/sharp-libvips-linuxmusl-arm64": ["@img/[email protected]", "", { "os": "linux", "cpu": "arm64" }, "sha512-FVQHuwx1IIuNow9QAbYUzJ+En8KcVm9Lk5+uGUQJHaZmMECZmOlix9HnH7n1TRkXMS0pGxIJokIVB9SuqZGGXw=="],
-
-    "@img/sharp-libvips-linuxmusl-x64": ["@img/[email protected]", "", { "os": "linux", "cpu": "x64" }, "sha512-+LpyBk7L44ZIXwz/VYfglaX/okxezESc6UxDSoyo2Ks6Jxc4Y7sGjpgU9s4PMgqgjj1gZCylTieNamqA1MF7Dg=="],
-
-    "@img/sharp-linux-arm": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-arm": "1.2.4" }, "os": "linux", "cpu": "arm" }, "sha512-9dLqsvwtg1uuXBGZKsxem9595+ujv0sJ6Vi8wcTANSFpwV/GONat5eCkzQo/1O6zRIkh0m/8+5BjrRr7jDUSZw=="],
-
-    "@img/sharp-linux-arm64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-arm64": "1.2.4" }, "os": "linux", "cpu": "arm64" }, "sha512-bKQzaJRY/bkPOXyKx5EVup7qkaojECG6NLYswgktOZjaXecSAeCWiZwwiFf3/Y+O1HrauiE3FVsGxFg8c24rZg=="],
-
-    "@img/sharp-linux-ppc64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-ppc64": "1.2.4" }, "os": "linux", "cpu": "ppc64" }, "sha512-7zznwNaqW6YtsfrGGDA6BRkISKAAE1Jo0QdpNYXNMHu2+0dTrPflTLNkpc8l7MUP5M16ZJcUvysVWWrMefZquA=="],
-
-    "@img/sharp-linux-riscv64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-riscv64": "1.2.4" }, "os": "linux", "cpu": "none" }, "sha512-51gJuLPTKa7piYPaVs8GmByo7/U7/7TZOq+cnXJIHZKavIRHAP77e3N2HEl3dgiqdD/w0yUfiJnII77PuDDFdw=="],
-
-    "@img/sharp-linux-s390x": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-s390x": "1.2.4" }, "os": "linux", "cpu": "s390x" }, "sha512-nQtCk0PdKfho3eC5MrbQoigJ2gd1CgddUMkabUj+rBevs8tZ2cULOx46E7oyX+04WGfABgIwmMC0VqieTiR4jg=="],
-
-    "@img/sharp-linux-x64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linux-x64": "1.2.4" }, "os": "linux", "cpu": "x64" }, "sha512-MEzd8HPKxVxVenwAa+JRPwEC7QFjoPWuS5NZnBt6B3pu7EG2Ge0id1oLHZpPJdn3OQK+BQDiw9zStiHBTJQQQQ=="],
-
-    "@img/sharp-linuxmusl-arm64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linuxmusl-arm64": "1.2.4" }, "os": "linux", "cpu": "arm64" }, "sha512-fprJR6GtRsMt6Kyfq44IsChVZeGN97gTD331weR1ex1c1rypDEABN6Tm2xa1wE6lYb5DdEnk03NZPqA7Id21yg=="],
-
-    "@img/sharp-linuxmusl-x64": ["@img/[email protected]", "", { "optionalDependencies": { "@img/sharp-libvips-linuxmusl-x64": "1.2.4" }, "os": "linux", "cpu": "x64" }, "sha512-Jg8wNT1MUzIvhBFxViqrEhWDGzqymo3sV7z7ZsaWbZNDLXRJZoRGrjulp60YYtV4wfY8VIKcWidjojlLcWrd8Q=="],
-
-    "@img/sharp-wasm32": ["@img/[email protected]", "", { "dependencies": { "@emnapi/runtime": "^1.7.0" }, "cpu": "none" }, "sha512-OdWTEiVkY2PHwqkbBI8frFxQQFekHaSSkUIJkwzclWZe64O1X4UlUjqqqLaPbUpMOQk6FBu/HtlGXNblIs0huw=="],
-
-    "@img/sharp-win32-arm64": ["@img/[email protected]", "", { "os": "win32", "cpu": "arm64" }, "sha512-WQ3AgWCWYSb2yt+IG8mnC6Jdk9Whs7O0gxphblsLvdhSpSTtmu69ZG1Gkb6NuvxsNACwiPV6cNSZNzt0KPsw7g=="],
-
-    "@img/sharp-win32-ia32": ["@img/[email protected]", "", { "os": "win32", "cpu": "ia32" }, "sha512-FV9m/7NmeCmSHDD5j4+4pNI8Cp3aW+JvLoXcTUo0IqyjSfAZJ8dIUmijx1qaJsIiU+Hosw6xM5KijAWRJCSgNg=="],
-
-    "@img/sharp-win32-x64": ["@img/[email protected]", "", { "os": "win32", "cpu": "x64" }, "sha512-+29YMsqY2/9eFEiW93eqWnuLcWcufowXewwSNIT6UwZdUUCrM3oFjMWH/Z6/TMmb4hlFenmfAVbpWeup2jryCw=="],
-
     "@jridgewell/gen-mapping": ["@jridgewell/[email protected]", "", { "dependencies": { "@jridgewell/sourcemap-codec": "^1.5.0", "@jridgewell/trace-mapping": "^0.3.24" } }, "sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA=="],
 
     "@jridgewell/remapping": ["@jridgewell/[email protected]", "", { "dependencies": { "@jridgewell/gen-mapping": "^0.3.5", "@jridgewell/trace-mapping": "^0.3.24" } }, "sha512-LI9u/+laYG4Ds1TDKSJW2YPrIlcVYOwi2fUC6xB43lueCjgxV4lffOCZCtYFiH6TNOX+tQKXx97T4IKHbhyHEQ=="],
@@ -358,24 +268,6 @@
 
     "@jridgewell/trace-mapping": ["@jridgewell/[email protected]", "", { "dependencies": { "@jridgewell/resolve-uri": "^3.1.0", "@jridgewell/sourcemap-codec": "^1.4.14" } }, "sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw=="],
 
-    "@next/env": ["@next/[email protected]", "", {}, "sha512-gkrXnZyxPUy0Gg6SrPQPccbNVLSP3vmW8LU5dwEttEEC1RwDivk8w4O+sZIjFvPrSICXyhQDCG+y3VmjlJf+9A=="],
-
-    "@next/swc-darwin-arm64": ["@next/[email protected]", "", { "os": "darwin", "cpu": "arm64" }, "sha512-T8atLKuvk13XQUdVLCv1ZzMPgLPW0+DWWbHSQXs0/3TjPrKNxTmUIhOEaoEyl3Z82k8h/gEtqyuoZGv6+Ugawg=="],
-
-    "@next/swc-darwin-x64": ["@next/[email protected]", "", { "os": "darwin", "cpu": "x64" }, "sha512-AKC/qVjUGUQDSPI6gESTx0xOnOPQ5gttogNS3o6bA83yiaSZJek0Am5yXy82F1KcZCx3DdOwdGPZpQCluonuxg=="],
-
-    "@next/swc-linux-arm64-gnu": ["@next/[email protected]", "", { "os": "linux", "cpu": "arm64" }, "sha512-POQ65+pnYOkZNdngWfMEt7r53bzWiKkVNbjpmCt1Zb3V6lxJNXSsjwRuTQ8P/kguxDC8LRkqaL3vvsFrce4dMQ=="],
-
-    "@next/swc-linux-arm64-musl": ["@next/[email protected]", "", { "os": "linux", "cpu": "arm64" }, "sha512-3Wm0zGYVCs6qDFAiSSDL+Z+r46EdtCv/2l+UlIdMbAq9hPJBvGu/rZOeuvCaIUjbArkmXac8HnTyQPJFzFWA0Q=="],
-
-    "@next/swc-linux-x64-gnu": ["@next/[email protected]", "", { "os": "linux", "cpu": "x64" }, "sha512-lWAYAezFinaJiD5Gv8HDidtsZdT3CDaCeqoPoJjeB57OqzvMajpIhlZFce5sCAH6VuX4mdkxCRqecCJFwfm2nQ=="],
-
-    "@next/swc-linux-x64-musl": ["@next/[email protected]", "", { "os": "linux", "cpu": "x64" }, "sha512-fHaIpT7x4gA6VQbdEpYUXRGyge/YbRrkG6DXM60XiBqDM2g2NcrsQaIuj375egnGFkJow4RHacgBOEsHfGbiUw=="],
-
-    "@next/swc-win32-arm64-msvc": ["@next/[email protected]", "", { "os": "win32", "cpu": "arm64" }, "sha512-MCrXxrTSE7jPN1NyXJr39E+aNFBrQZtO154LoCz7n99FuKqJDekgxipoodLNWdQP7/DZ5tKMc/efybx1l159hw=="],
-
-    "@next/swc-win32-x64-msvc": ["@next/[email protected]", "", { "os": "win32", "cpu": "x64" }, "sha512-JSVlm9MDhmTXw/sO2PE/MRj+G6XOSMZB+BcZ0a7d6KwVFZVpkHcb2okyoYFBaco6LeiL53BBklRlOrDDbOeE5w=="],
-
     "@nodelib/fs.scandir": ["@nodelib/[email protected]", "", { "dependencies": { "@nodelib/fs.stat": "2.0.5", "run-parallel": "^1.1.9" } }, "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g=="],
 
     "@nodelib/fs.stat": ["@nodelib/[email protected]", "", {}, "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A=="],
@@ -518,8 +410,6 @@
 
     "@rollup/rollup-win32-x64-msvc": ["@rollup/[email protected]", "", { "os": "win32", "cpu": "x64" }, "sha512-H8AE9Ur/t0+1VXujj90w0HrSOuv0Nq9r1vSZF2t5km20NTfosQsGGUXDaKdQZzwuLts7IyL1fYT4hM95TI9c4g=="],
 
-    "@swc/helpers": ["@swc/[email protected]", "", { "dependencies": { "tslib": "^2.8.0" } }, "sha512-JQ5TuMi45Owi4/BIMAJBoSQoOJu12oOk/gADqlcUL9JEdHB8vyjUSsxqeNXnmXHjYKMi2WcYtezGEEhqUI/E2g=="],
-
     "@tailwindcss/node": ["@tailwindcss/[email protected]", "", { "dependencies": { "@jridgewell/remapping": "^2.3.4", "enhanced-resolve": "^5.18.3", "jiti": "^2.6.1", "lightningcss": "1.30.2", "magic-string": "^0.30.21", "source-map-js": "^1.2.1", "tailwindcss": "4.1.18" } }, "sha512-DoR7U1P7iYhw16qJ49fgXUlry1t4CpXeErJHnQ44JgTSKMaZUdf17cfn5mHchfJ4KRBZRFA/Coo+MUF5+gOaCQ=="],
 
     "@tailwindcss/oxide": ["@tailwindcss/[email protected]", "", { "optionalDependencies": { "@tailwindcss/oxide-android-arm64": "4.1.18", "@tailwindcss/oxide-darwin-arm64": "4.1.18", "@tailwindcss/oxide-darwin-x64": "4.1.18", "@tailwindcss/oxide-freebsd-x64": "4.1.18", "@tailwindcss/oxide-linux-arm-gnueabihf": "4.1.18", "@tailwindcss/oxide-linux-arm64-gnu": "4.1.18", "@tailwindcss/oxide-linux-arm64-musl": "4.1.18", "@tailwindcss/oxide-linux-x64-gnu": "4.1.18", "@tailwindcss/oxide-linux-x64-musl": "4.1.18", "@tailwindcss/oxide-wasm32-wasi": "4.1.18", "@tailwindcss/oxide-win32-arm64-msvc": "4.1.18", "@tailwindcss/oxide-win32-x64-msvc": "4.1.18" } }, "sha512-EgCR5tTS5bUSKQgzeMClT6iCY3ToqE1y+ZB0AKldj809QXk1Y+3jB0upOYZrn9aGIzPtUsP7sX4QQ4XtjBB95A=="],
@@ -644,8 +534,6 @@
 
     "@voicebox/app": ["@voicebox/app@workspace:app"],
 
-    "@voicebox/landing": ["@voicebox/landing@workspace:landing"],
-
     "@voicebox/tauri": ["@voicebox/tauri@workspace:tauri"],
 
     "@voicebox/web": ["@voicebox/web@workspace:web"],
@@ -660,26 +548,16 @@
 
     "ansi-styles": ["[email protected]", "", { "dependencies": { "color-convert": "^2.0.1" } }, "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg=="],
 
-    "any-promise": ["[email protected]", "", {}, "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A=="],
-
-    "anymatch": ["[email protected]", "", { "dependencies": { "normalize-path": "^3.0.0", "picomatch": "^2.0.4" } }, "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw=="],
-
-    "arg": ["[email protected]", "", {}, "sha512-PYjyFOLKQ9y57JvQ6QLo8dAgNqswh8M1RMJYdQduT6xbWSgK36P/Z/v+p888pM69jMMfS8Xd8F6I1kQ/I9HUGg=="],
-
-    "argparse": ["[email protected]", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
+    "argparse": ["[email protected]", "", {}, "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="],
 
     "aria-hidden": ["[email protected]", "", { "dependencies": { "tslib": "^2.0.0" } }, "sha512-ik3ZgC9dY/lYVVM++OISsaYDeg1tb0VtP5uL3ouh1koGOaUMDPpbFIei4JkFimWUFPn90sbMNMXQAIVOlnYKJA=="],
 
     "array-union": ["[email protected]", "", {}, "sha512-HGyxoOTYUyCM6stUe6EJgnd4EoewAI7zMdfqO+kGjnlZmBDz/cR5pf8r/cR4Wq60sL/p0IkcjUEEPwS3GFrIyw=="],
 
-    "autoprefixer": ["[email protected]", "", { "dependencies": { "browserslist": "^4.28.1", "caniuse-lite": "^1.0.30001760", "fraction.js": "^5.3.4", "picocolors": "^1.1.1", "postcss-value-parser": "^4.2.0" }, "peerDependencies": { "postcss": "^8.1.0" }, "bin": { "autoprefixer": "bin/autoprefixer" } }, "sha512-YYTXSFulfwytnjAPlw8QHncHJmlvFKtczb8InXaAx9Q0LbfDnfEYDE55omerIJKihhmU61Ft+cAOSzQVaBUmeA=="],
-
     "balanced-match": ["[email protected]", "", {}, "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="],
 
     "baseline-browser-mapping": ["[email protected]", "", { "bin": { "baseline-browser-mapping": "dist/cli.js" } }, "sha512-e23vBV1ZLfjb9apvfPk4rHVu2ry6RIr2Wfs+O324okSidrX7pTAnEJPCh/O5BtRlr7QtZI7ktOP3vsqr7Z5XoA=="],
 
-    "binary-extensions": ["[email protected]", "", {}, "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw=="],
-
     "brace-expansion": ["[email protected]", "", { "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" } }, "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg=="],
 
     "braces": ["[email protected]", "", { "dependencies": { "fill-range": "^7.1.1" } }, "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA=="],
@@ -688,28 +566,20 @@
 
     "callsites": ["[email protected]", "", {}, "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ=="],
 
-    "camelcase-css": ["[email protected]", "", {}, "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA=="],
-
     "caniuse-lite": ["[email protected]", "", {}, "sha512-4C0lfJ0/YPjJQHagaE9x2Elb69CIqEPZeG0anQt9SIvIoOH4a4uaRl73IavyO+0qZh6MDLH//DrXThEYKHkmYA=="],
 
     "chalk": ["[email protected]", "", { "dependencies": { "ansi-styles": "^4.1.0", "supports-color": "^7.1.0" } }, "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA=="],
 
-    "chokidar": ["[email protected]", "", { "dependencies": { "anymatch": "~3.1.2", "braces": "~3.0.2", "glob-parent": "~5.1.2", "is-binary-path": "~2.1.0", "is-glob": "~4.0.1", "normalize-path": "~3.0.0", "readdirp": "~3.6.0" }, "optionalDependencies": { "fsevents": "~2.3.2" } }, "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw=="],
-
     "class-variance-authority": ["[email protected]", "", { "dependencies": { "clsx": "^2.1.1" } }, "sha512-Ka+9Trutv7G8M6WT6SeiRWz792K5qEqIGEGzXKhAE6xOWAY6pPH8U+9IY3oCMv6kqTmLsv7Xh/2w2RigkePMsg=="],
 
     "classnames": ["[email protected]", "", {}, "sha512-saHYOzhIQs6wy2sVxTM6bUDsQO4F50V9RQ22qBpEdCW+I+/Wmke2HOl6lS6dTpdxVhb88/I6+Hs+438c3lfUow=="],
 
-    "client-only": ["[email protected]", "", {}, "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA=="],
-
     "clsx": ["[email protected]", "", {}, "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA=="],
 
     "color-convert": ["[email protected]", "", { "dependencies": { "color-name": "~1.1.4" } }, "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ=="],
 
     "color-name": ["[email protected]", "", {}, "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="],
 
-    "commander": ["[email protected]", "", {}, "sha512-NOKm8xhkzAjzFx8B2v5OAHT+u5pRQc2UCa2Vq9jYL/31o2wi9mxBA7LIFs3sV5VSC49z6pEhfbMULvShKj26WA=="],
-
     "concat-map": ["[email protected]", "", {}, "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg=="],
 
     "convert-source-map": ["[email protected]", "", {}, "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="],
@@ -718,8 +588,6 @@
 
     "cross-spawn": ["[email protected]", "", { "dependencies": { "path-key": "^3.1.0", "shebang-command": "^2.0.0", "which": "^2.0.1" } }, "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA=="],
 
-    "cssesc": ["[email protected]", "", { "bin": { "cssesc": "bin/cssesc" } }, "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg=="],
-
     "csstype": ["[email protected]", "", {}, "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ=="],
 
     "date-fns": ["[email protected]", "", {}, "sha512-fRHTG8g/Gif+kSh50gaGEdToemgfj74aRX3swtiouboip5JDLAyDE9F11nHMIcvOaXeOC6D7SpNhi7uFyB7Uww=="],
@@ -732,12 +600,8 @@
 
     "detect-node-es": ["[email protected]", "", {}, "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="],
 
-    "didyoumean": ["[email protected]", "", {}, "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw=="],
-
     "dir-glob": ["[email protected]", "", { "dependencies": { "path-type": "^4.0.0" } }, "sha512-WkrWp9GR4KXfKGYzOLmTuGVi1UWFfws377n9cc55/tb6DuqyF6pcQ5AbiHEshaDpY9v6oaSr2XCDidGmMwdzIA=="],
 
-    "dlv": ["[email protected]", "", {}, "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA=="],
-
     "doctrine": ["[email protected]", "", { "dependencies": { "esutils": "^2.0.2" } }, "sha512-yS+Q5i3hBf7GBkd4KG8a7eBNNWNGLTaEwwYWUijIYM7zrlYDM0BFXHjjPWlWZ1Rg7UaddZeIDmi9jF3HmqiQ2w=="],
 
     "electron-to-chromium": ["[email protected]", "", {}, "sha512-dQ0tM1svDRQOwxnXxm+twlGTjr9Upvt8UFWAgmLsxEzFQxhbti4VwxmMjsDxVC51Zo84swW7FVCXEV+VAkhuPw=="],
@@ -762,8 +626,6 @@
 
     "espree": ["[email protected]", "", { "dependencies": { "acorn": "^8.9.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^3.4.1" } }, "sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ=="],
 
-    "esprima": ["[email protected]", "", { "bin": { "esparse": "./bin/esparse.js", "esvalidate": "./bin/esvalidate.js" } }, "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A=="],
-
     "esquery": ["[email protected]", "", { "dependencies": { "estraverse": "^5.1.0" } }, "sha512-Ap6G0WQwcU/LHsvLwON1fAQX9Zp0A2Y6Y/cJBl9r/JbW90Zyg4/zbG6zzKa2OTALELarYHmKu0GhpM5EO+7T0g=="],
 
     "esrecurse": ["[email protected]", "", { "dependencies": { "estraverse": "^5.2.0" } }, "sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag=="],
@@ -772,8 +634,6 @@
 
     "esutils": ["[email protected]", "", {}, "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g=="],
 
-    "extend-shallow": ["[email protected]", "", { "dependencies": { "is-extendable": "^0.1.0" } }, "sha512-zCnTtlxNoAiDc3gqY2aYAWFx7XWWiasuF2K8Me5WbN8otHKTUKBwjPtNpRs/rbUZm7KxWAaNj7P1a/p52GbVug=="],
-
     "fast-deep-equal": ["[email protected]", "", {}, "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q=="],
 
     "fast-glob": ["[email protected]", "", { "dependencies": { "@nodelib/fs.stat": "^2.0.2", "@nodelib/fs.walk": "^1.2.3", "glob-parent": "^5.1.2", "merge2": "^1.3.0", "micromatch": "^4.0.8" } }, "sha512-7MptL8U0cqcFdzIzwOTHoilX9x5BrNqye7Z/LuC7kCMRio1EMSyqRK3BEAUD7sXRq4iT4AzTVuZdhgQ2TCvYLg=="],
@@ -784,8 +644,6 @@
 
     "fastq": ["[email protected]", "", { "dependencies": { "reusify": "^1.0.4" } }, "sha512-GGToxJ/w1x32s/D2EKND7kTil4n8OVk/9mycTc4VDza13lOvpUZTGX3mFSCtV9ksdGBVzvsyAVLM6mHFThxXxw=="],
 
-    "fdir": ["[email protected]", "", { "peerDependencies": { "picomatch": "^3 || ^4" }, "optionalPeers": ["picomatch"] }, "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg=="],
-
     "file-entry-cache": ["[email protected]", "", { "dependencies": { "flat-cache": "^3.0.4" } }, "sha512-7Gps/XWymbLk2QLYK4NzpMOrYjMhdIxXuIvy2QBsLE6ljuodKvdkWs/cpyJJ3CVIVpH0Oi1Hvg1ovbMzLdFBBg=="],
 
     "fill-range": ["[email protected]", "", { "dependencies": { "to-regex-range": "^5.0.1" } }, "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg=="],
@@ -796,16 +654,12 @@
 
     "flatted": ["[email protected]", "", {}, "sha512-GX+ysw4PBCz0PzosHDepZGANEuFCMLrnRTiEy9McGjmkCQYwRq4A/X786G/fjM/+OjsWSU1ZrY5qyARZmO/uwg=="],
 
-    "fraction.js": ["[email protected]", "", {}, "sha512-1X1NTtiJphryn/uLQz3whtY6jK3fTqoE3ohKs0tT+Ujr1W59oopxmoEh7Lu5p6vBaPbgoM0bzveAW4Qi5RyWDQ=="],
-
     "framer-motion": ["[email protected]", "", { "dependencies": { "motion-dom": "^12.36.0", "motion-utils": "^12.36.0", "tslib": "^2.4.0" }, "peerDependencies": { "@emotion/is-prop-valid": "*", "react": "^18.0.0 || ^19.0.0", "react-dom": "^18.0.0 || ^19.0.0" }, "optionalPeers": ["@emotion/is-prop-valid", "react", "react-dom"] }, "sha512-4PqYHAT7gev0ke0wos+PyrcFxI0HScjm3asgU8nSYa8YzJFuwgIvdj3/s3ZaxLq0bUSboIn19A2WS/MHwLCvfw=="],
 
     "fs.realpath": ["[email protected]", "", {}, "sha512-OO0pH2lK6a0hZnAdau5ItzHPI6pUlvI7jMVnxUQRtw4owF2wk8lOSabtGDCTP4Ggrg2MbGnWO9X8K1t4+fGMDw=="],
 
     "fsevents": ["[email protected]", "", { "os": "darwin" }, "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw=="],
 
-    "function-bind": ["[email protected]", "", {}, "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA=="],
-
     "gensync": ["[email protected]", "", {}, "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg=="],
 
     "get-nonce": ["[email protected]", "", {}, "sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q=="],
@@ -822,12 +676,8 @@
 
     "graphemer": ["[email protected]", "", {}, "sha512-EtKwoO6kxCL9WO5xipiHTZlSzBm7WLT627TqC/uVRd0HKmq8NXyebnNYxDoBi7wt8eTWrUrKXCOVaFq9x1kgag=="],
 
-    "gray-matter": ["[email protected]", "", { "dependencies": { "js-yaml": "^3.13.1", "kind-of": "^6.0.2", "section-matter": "^1.0.0", "strip-bom-string": "^1.0.0" } }, "sha512-5v6yZd4JK3eMI3FqqCouswVqwugaA9r4dNZB1wwcmrD02QkV5H0y7XBQW8QwQqEaZY1pM9aqORSORhJRdNK44Q=="],
-
     "has-flag": ["[email protected]", "", {}, "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ=="],
 
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     "html-parse-stringify": ["[email protected]", "", { "dependencies": { "void-elements": "3.1.0" } }, "sha512-KknJ50kTInJ7qIScF3jeaFRpMpE8/lfiTdzf/twXyPBLAGrLRTmkz3AdTnKeh40X8k9L2fdYwEp/42WGXIRGcg=="],
 
     "i18next": ["[email protected]", "", { "dependencies": { "@babel/runtime": "^7.29.2" }, "peerDependencies": { "typescript": "^5 || ^6" }, "optionalPeers": ["typescript"] }, "sha512-A4U6eCXodIbrhf8EarRurB9/4ebyaurH4+fu4gig9bqxmpSt+fCAFm/GpRQDcN1Xzu/LdFCx4nYHsnM1edIIbg=="],
@@ -844,12 +694,6 @@
 
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-    "is-binary-path": ["[email protected]", "", { "dependencies": { "binary-extensions": "^2.0.0" } }, "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw=="],
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-    "is-core-module": ["[email protected]", "", { "dependencies": { "hasown": "^2.0.2" } }, "sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w=="],
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-    "is-extendable": ["[email protected]", "", {}, "sha512-5BMULNob1vgFX6EjQw5izWDxrecWK9AM72rugNr0TFldMOi0fj6Jk+zeKIt0xGj4cEfQIJth4w3OKWOJ4f+AFw=="],
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     "is-extglob": ["[email protected]", "", {}, "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ=="],
 
     "is-glob": ["[email protected]", "", { "dependencies": { "is-extglob": "^2.1.1" } }, "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg=="],
@@ -862,11 +706,11 @@
 
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-    "jiti": ["jiti@1.21.7", "", { "bin": { "jiti": "bin/jiti.js" } }, "sha512-/imKNG4EbWNrVjoNC/1H5/9GFy+tqjGBHCaSsN+P2RnPqjsLmv6UD3Ej+Kj8nBWaRAwyk7kK5ZUc+OEatnTR3A=="],
+    "jiti": ["jiti@2.6.1", "", { "bin": { "jiti": "lib/jiti-cli.mjs" } }, "sha512-ekilCSN1jwRvIbgeg/57YFh8qQDNbwDb9xT/qu2DAHbFFZUicIl4ygVaAvzveMhMVr3LnpSKTNnwt8PoOfmKhQ=="],
 
     "js-tokens": ["[email protected]", "", {}, "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ=="],
 
-    "js-yaml": ["js-yaml@3.15.0", "", { "dependencies": { "argparse": "^1.0.7", "esprima": "^4.0.0" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-ttBQIIQPDeLjpPOohtUdXuXUVoA2uIB6fEH9HyJ7234s5mBJ5wTx20njxplLZQgLaOfpmPQA7X2t5AX6tIPbog=="],
+    "js-yaml": ["js-yaml@4.1.1", "", { "dependencies": { "argparse": "^2.0.1" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA=="],
 
     "jsesc": ["[email protected]", "", { "bin": { "jsesc": "bin/jsesc" } }, "sha512-/sM3dO2FOzXjKQhJuo0Q173wf2KOo8t4I8vHy6lF9poUp7bKT0/NHE8fPX23PwfhnykfqnC2xRxOnVw5XuGIaA=="],
 
@@ -880,8 +724,6 @@
 
     "keyv": ["[email protected]", "", { "dependencies": { "json-buffer": "3.0.1" } }, "sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw=="],
 
-    "kind-of": ["[email protected]", "", {}, "sha512-dcS1ul+9tmeD95T+x28/ehLgd9mENa3LsvDTtzm3vyBEO7RPptvAD+t44WVXaUjTBRcrpFeFlC8WCruUR456hw=="],
-
     "levn": ["[email protected]", "", { "dependencies": { "prelude-ls": "^1.2.1", "type-check": "~0.4.0" } }, "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ=="],
 
     "lightningcss": ["[email protected]", "", { "dependencies": { "detect-libc": "^2.0.3" }, "optionalDependencies": { "lightningcss-android-arm64": "1.30.2", "lightningcss-darwin-arm64": "1.30.2", "lightningcss-darwin-x64": "1.30.2", "lightningcss-freebsd-x64": "1.30.2", "lightningcss-linux-arm-gnueabihf": "1.30.2", "lightningcss-linux-arm64-gnu": "1.30.2", "lightningcss-linux-arm64-musl": "1.30.2", "lightningcss-linux-x64-gnu": "1.30.2", "lightningcss-linux-x64-musl": "1.30.2", "lightningcss-win32-arm64-msvc": "1.30.2", "lightningcss-win32-x64-msvc": "1.30.2" } }, "sha512-utfs7Pr5uJyyvDETitgsaqSyjCb2qNRAtuqUeWIAKztsOYdcACf2KtARYXg2pSvhkt+9NfoaNY7fxjl6nuMjIQ=="],
@@ -908,10 +750,6 @@
 
     "lightningcss-win32-x64-msvc": ["[email protected]", "", { "os": "win32", "cpu": "x64" }, "sha512-5g1yc73p+iAkid5phb4oVFMB45417DkRevRbt/El/gKXJk4jid+vPFF/AXbxn05Aky8PapwzZrdJShv5C0avjw=="],
 
-    "lilconfig": ["[email protected]", "", {}, "sha512-/vlFKAoH5Cgt3Ie+JLhRbwOsCQePABiU3tJ1egGvyQ+33R/vcwM2Zl2QR/LzjsBeItPt3oSVXapn+m4nQDvpzw=="],
-
-    "lines-and-columns": ["[email protected]", "", {}, "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg=="],
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     "loaders.css": ["[email protected]", "", {}, "sha512-Rhowlq24ey1VOeor+3wYOt9+MjaxBOJm1u4KlQgNC3+0xJ0LS4wq4iG57D/BPzvuD/7HHDGQOWJ+81oR2EI9bQ=="],
 
     "locate-path": ["[email protected]", "", { "dependencies": { "p-locate": "^5.0.0" } }, "sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw=="],
@@ -926,8 +764,6 @@
 
     "magic-string": ["[email protected]", "", { "dependencies": { "@jridgewell/sourcemap-codec": "^1.5.5" } }, "sha512-vd2F4YUyEXKGcLHoq+TEyCjxueSeHnFxyyjNp80yg0XV4vUhnDer/lvvlqM/arB5bXQN5K2/3oinyCRyx8T2CQ=="],
 
-    "marked": ["[email protected]", "", { "bin": { "marked": "bin/marked.js" } }, "sha512-S6GcvALHg6K4ohtu4E7x0a1AqhAjp6cV8KhLSyN9qVapnzJkusVBxZRcIU9AeYsbe6P1hKDusSbEOzGyyuce6w=="],
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     "merge2": ["[email protected]", "", {}, "sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg=="],
 
     "micromatch": ["[email protected]", "", { "dependencies": { "braces": "^3.0.3", "picomatch": "^2.3.1" } }, "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA=="],
@@ -942,22 +778,14 @@
 
     "ms": ["[email protected]", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
 
-    "mz": ["[email protected]", "", { "dependencies": { "any-promise": "^1.0.0", "object-assign": "^4.0.1", "thenify-all": "^1.0.0" } }, "sha512-z81GNO7nnYMEhrGh9LeymoE4+Yr0Wn5McHIZMK5cfQCl+NDX08sCZgUc9/6MHni9IWuFLm1Z3HTCXu2z9fN62Q=="],
-
     "nanoid": ["[email protected]", "", { "bin": { "nanoid": "bin/nanoid.cjs" } }, "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w=="],
 
     "natural-compare": ["[email protected]", "", {}, "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw=="],
 
-    "next": ["[email protected]", "", { "dependencies": { "@next/env": "16.1.4", "@swc/helpers": "0.5.15", "baseline-browser-mapping": "^2.8.3", "caniuse-lite": "^1.0.30001579", "postcss": "8.4.31", "styled-jsx": "5.1.6" }, "optionalDependencies": { "@next/swc-darwin-arm64": "16.1.4", "@next/swc-darwin-x64": "16.1.4", "@next/swc-linux-arm64-gnu": "16.1.4", "@next/swc-linux-arm64-musl": "16.1.4", "@next/swc-linux-x64-gnu": "16.1.4", "@next/swc-linux-x64-musl": "16.1.4", "@next/swc-win32-arm64-msvc": "16.1.4", "@next/swc-win32-x64-msvc": "16.1.4", "sharp": "^0.34.4" }, "peerDependencies": { "@opentelemetry/api": "^1.1.0", "@playwright/test": "^1.51.1", "babel-plugin-react-compiler": "*", "react": "^18.2.0 || 19.0.0-rc-de68d2f4-20241204 || ^19.0.0", "react-dom": "^18.2.0 || 19.0.0-rc-de68d2f4-20241204 || ^19.0.0", "sass": "^1.3.0" }, "optionalPeers": ["@opentelemetry/api", "@playwright/test", "babel-plugin-react-compiler", "sass"], "bin": { "next": "dist/bin/next" } }, "sha512-gKSecROqisnV7Buen5BfjmXAm7Xlpx9o2ueVQRo5DxQcjC8d330dOM1xiGWc2k3Dcnz0In3VybyRPOsudwgiqQ=="],
-
     "node-releases": ["[email protected]", "", {}, "sha512-nmh3lCkYZ3grZvqcCH+fjmQ7X+H0OeZgP40OierEaAptX4XofMh5kwNbWh7lBduUzCcV/8kZ+NDLCwm2iorIlA=="],
 
-    "normalize-path": ["[email protected]", "", {}, "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA=="],
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     "object-assign": ["[email protected]", "", {}, "sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg=="],
 
-    "object-hash": ["[email protected]", "", {}, "sha512-RSn9F68PjH9HqtltsSnqYC1XXoWe9Bju5+213R98cNGttag9q9yAOTzdbsqvIa7aNm5WffBZFpWYr2aWrklWAw=="],
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     "once": ["[email protected]", "", { "dependencies": { "wrappy": "1" } }, "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w=="],
 
     "optionator": ["[email protected]", "", { "dependencies": { "deep-is": "^0.1.3", "fast-levenshtein": "^2.0.6", "levn": "^0.4.1", "prelude-ls": "^1.2.1", "type-check": "^0.4.0", "word-wrap": "^1.2.5" } }, "sha512-6IpQ7mKUxRcZNLIObR0hz7lxsapSSIYNZJwXPGeF0mTVqGKFIXj1DQcMoT22S3ROcLyY/rz0PWaWZ9ayWmad9g=="],
@@ -974,40 +802,20 @@
 
     "path-key": ["[email protected]", "", {}, "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q=="],
 
-    "path-parse": ["[email protected]", "", {}, "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw=="],
-
     "path-type": ["[email protected]", "", {}, "sha512-gDKb8aZMDeD/tZWs9P6+q0J9Mwkdl6xMV8TjnGP3qJVJ06bdMgkbBlLU8IdfOsIsFz2BW1rNVT3XuNEl8zPAvw=="],
 
     "picocolors": ["[email protected]", "", {}, "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA=="],
 
     "picomatch": ["[email protected]", "", {}, "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA=="],
 
-    "pify": ["[email protected]", "", {}, "sha512-udgsAY+fTnvv7kI7aaxbqwWNb0AHiB0qBO89PZKPkoTmGOgdbrHDKD+0B2X4uTfJ/FT1R09r9gTsjUjNJotuog=="],
-
-    "pirates": ["[email protected]", "", {}, "sha512-TfySrs/5nm8fQJDcBDuUng3VOUKsd7S+zqvbOTiGXHfxX4wK31ard+hoNuvkicM/2YFzlpDgABOevKSsB4G/FA=="],
-
     "postcss": ["[email protected]", "", { "dependencies": { "nanoid": "^3.3.11", "picocolors": "^1.1.1", "source-map-js": "^1.2.1" } }, "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg=="],
 
-    "postcss-import": ["[email protected]", "", { "dependencies": { "postcss-value-parser": "^4.0.0", "read-cache": "^1.0.0", "resolve": "^1.1.7" }, "peerDependencies": { "postcss": "^8.0.0" } }, "sha512-hpr+J05B2FVYUAXHeK1YyI267J/dDDhMU6B6civm8hSY1jYJnBXxzKDKDswzJmtLHryrjhnDjqqp/49t8FALew=="],
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-    "postcss-load-config": ["[email protected]", "", { "dependencies": { "lilconfig": "^3.1.1" }, "peerDependencies": { "jiti": ">=1.21.0", "postcss": ">=8.0.9", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["jiti", "postcss", "tsx", "yaml"] }, "sha512-oPtTM4oerL+UXmx+93ytZVN82RrlY/wPUV8IeDxFrzIjXOLF1pN+EmKPLbubvKHT2HC20xXsCAH2Z+CKV6Oz/g=="],
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-    "postcss-nested": ["[email protected]", "", { "dependencies": { "postcss-selector-parser": "^6.1.1" }, "peerDependencies": { "postcss": "^8.2.14" } }, "sha512-HQbt28KulC5AJzG+cZtj9kvKB93CFCdLvog1WFLf1D+xmMvPGlBstkpTEZfK5+AN9hfJocyBFCNiqyS48bpgzQ=="],
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-    "postcss-selector-parser": ["[email protected]", "", { "dependencies": { "cssesc": "^3.0.0", "util-deprecate": "^1.0.2" } }, "sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg=="],
-
-    "postcss-value-parser": ["[email protected]", "", {}, "sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ=="],
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     "prelude-ls": ["[email protected]", "", {}, "sha512-vkcDPrRZo1QZLbn5RLGPpg/WmIQ65qoWWhcGKf/b5eplkkarX0m9z8ppCat4mlOqUsWpyNuYgO3VRyrYHSzX5g=="],
 
     "prop-types": ["[email protected]", "", { "dependencies": { "loose-envify": "^1.4.0", "object-assign": "^4.1.1", "react-is": "^16.13.1" } }, "sha512-oj87CgZICdulUohogVAR7AjlC0327U4el4L6eAvOqCeudMDVU0NThNaV+b9Df4dXgSP1gXMTnPdhfe/2qDH5cg=="],
 
     "punycode": ["[email protected]", "", {}, "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg=="],
 
-    "qr.js": ["[email protected]", "", {}, "sha512-c4iYnWb+k2E+vYpRimHqSu575b1/wKl4XFeJGpFmrJQz5I88v9aY2czh7s0w36srfCM1sXgC/xpoJz5dJfq+OQ=="],
-
     "queue-microtask": ["[email protected]", "", {}, "sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A=="],
 
     "react": ["[email protected]", "", { "dependencies": { "loose-envify": "^1.1.0" } }, "sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ=="],
@@ -1022,8 +830,6 @@
 
     "react-loaders": ["[email protected]", "", { "dependencies": { "classnames": "^2.2.3" }, "peerDependencies": { "prop-types": ">=15.6.0", "react": ">=15" } }, "sha512-4igMNqs9Fb3d4Z+0UHIGQNJsw/37gX0nUO8QxupnEKRn1dtyYC1LGwk5GuaoDciMQCQc/MmPwb4Fn6ZfdoX1FQ=="],
 
-    "react-qr-code": ["[email protected]", "", { "dependencies": { "prop-types": "^15.8.1", "qr.js": "0.0.0" }, "peerDependencies": { "react": "*" } }, "sha512-v1Jqz7urLMhkO6jkgJuBYhnqvXagzceg3qJUWayuCK/c6LTIonpWbwxR1f1APGd4xrW/QcQEovNrAojbUz65Tg=="],
-
     "react-refresh": ["[email protected]", "", {}, "sha512-z6F7K9bV85EfseRCp2bzrpyQ0Gkw1uLoCel9XBVWPg/TjRj94SkJzUTGfOa4bs7iJvBWtQG0Wq7wnI0syw3EBQ=="],
 
     "react-remove-scroll": ["[email protected]", "", { "dependencies": { "react-remove-scroll-bar": "^2.3.7", "react-style-singleton": "^2.2.3", "tslib": "^2.1.0", "use-callback-ref": "^1.3.3", "use-sidecar": "^1.1.3" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-Iqb9NjCCTt6Hf+vOdNIZGdTiH1QSqr27H/Ek9sv/a97gfueI/5h1s3yRi1nngzMUaOOToin5dI1dXKdXiF+u0Q=="],
@@ -1034,12 +840,6 @@
 
     "react-style-singleton": ["[email protected]", "", { "dependencies": { "get-nonce": "^1.0.0", "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-b6jSvxvVnyptAiLjbkWLE/lOnR4lfTtDAl+eUC7RZy+QQWc6wRzIV2CE6xBuMmDxc2qIihtDCZD5NPOFl7fRBQ=="],
 
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@@ -1052,16 +852,12 @@
 
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@@ -1072,22 +868,12 @@
 
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     "tslib": ["[email protected]", "", {}, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
 
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@@ -1134,8 +912,6 @@
 
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     "vite": ["[email protected]", "", { "dependencies": { "esbuild": "^0.21.3", "postcss": "^8.4.43", "rollup": "^4.20.0" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^18.0.0 || >=20.0.0", "less": "*", "lightningcss": "^1.21.0", "sass": "*", "sass-embedded": "*", "stylus": "*", "sugarss": "*", "terser": "^5.4.0" }, "optionalPeers": ["@types/node", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser"], "bin": { "vite": "bin/vite.js" } }, "sha512-o5a9xKjbtuhY6Bi5S3+HvbRERmouabWbyUcpXXUA1u+GNUKoROi9byOJ8M0nHbHYHkYICiMlqxkg1KkYmm25Sw=="],
 
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@@ -1156,8 +932,6 @@
 
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     "@radix-ui/react-alert-dialog/@radix-ui/react-slot": ["@radix-ui/[email protected]", "", { "dependencies": { "@radix-ui/react-compose-refs": "1.1.2" }, "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-aeNmHnBxbi2St0au6VBVC7JXFlhLlOnvIIlePNniyUNAClzmtAUEY8/pBiK3iHjufOlwA+c20/8jngo7xcrg8A=="],
 
     "@radix-ui/react-avatar/@radix-ui/react-context": ["@radix-ui/[email protected]", "", { "peerDependencies": { "@types/react": "*", "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-ieIFACdMpYfMEjF0rEf5KLvfVyIkOz6PDGyNnP+u+4xQ6jny3VCgA4OgXOwNx2aUkxn8zx9fiVcM8CfFYv9Lxw=="],
@@ -1184,8 +958,6 @@
 
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     "@tailwindcss/oxide-wasm32-wasi/@emnapi/core": ["@emnapi/[email protected]", "", { "dependencies": { "@emnapi/wasi-threads": "1.1.0", "tslib": "^2.4.0" }, "bundled": true }, "sha512-AvT9QFpxK0Zd8J0jopedNm+w/2fIzvtPKPjqyw9jwvBaReTTqPBk9Hixaz7KbjimP+QNz605/XnjFcDAL2pqBg=="],
 
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@@ -1202,34 +974,14 @@
 
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-
     "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["[email protected]", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ=="],
 
-    "eslint/js-yaml/argparse": ["[email protected]", "", {}, "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="],
-
     "motion/framer-motion/motion-dom": ["[email protected]", "", { "dependencies": { "motion-utils": "^12.27.2" } }, "sha512-3eiz9bb32yvY8Q6XNM4AwkSOBPgU//EIKTZwsSWgA9uzbPBhZJeScCVcBuwwYVqhfamewpv7ZNmVKTGp5qnzkA=="],
 
     "motion/framer-motion/motion-utils": ["[email protected]", "", {}, "sha512-B55gcoL85Mcdt2IEStY5EEAsrMSVE2sI14xQ/uAdPL+mfQxhKKFaEag9JmfxedJOR4vZpBGoPeC/Gm13I/4g5Q=="],

docker-compose.rocm.yml

@@ -0,0 +1,36 @@
+---
+# ROCm (AMD GPU) overlay for Voicebox
+#
+#   docker compose -f docker-compose.yml -f docker-compose.rocm.yml up --build
+#
+# Requires ROCm drivers on the host:
+# https://rocm.docs.amd.com/projects/install-on-linux
+# RDNA4 (RX 9000): export ROCM_VERSION=7.2 (default 6.3 covers RDNA1-3).
+
+services:
+  voicebox:
+    build:
+      context: .
+      args:
+        PYTORCH_VARIANT: rocm
+        ROCM_VERSION: ${ROCM_VERSION:-6.3}
+
+    devices:
+      - /dev/kfd
+      - /dev/dri
+
+    environment:
+      # HSA_OVERRIDE_GFX_VERSION forces the ROCm runtime to treat the GPU as a
+      # specific GFX version when auto-detection fails or the GPU is newer than
+      # the ROCm release. app.py sets 10.3.0 (RDNA2) by default; override here
+      # for your GPU family:
+      #   RDNA4 / RX 9000 series:              12.0.0
+      #                                           (requires ROCM_VERSION=7.2)
+      #   RDNA3 / RX 7000 series / Strix Halo: 11.0.0
+      #   RDNA2 / RX 6000 series:              10.3.0
+      #   RDNA1 / RX 5000 series:              10.1.0
+      #   Vega / GCN5:                          9.0.0
+      - HSA_OVERRIDE_GFX_VERSION=${HSA_OVERRIDE_GFX_VERSION:-}
+
+      # Tune the ROCm memory allocator
+      - PYTORCH_HIP_ALLOC_CONF=garbage_collection_threshold:0.8,max_split_size_mb:512

docker-compose.yml

@@ -1,3 +1,7 @@
+# Voicebox — CPU build (default)
+# For AMD ROCm GPU acceleration use the overlay:
+#   docker compose -f docker-compose.yml -f docker-compose.rocm.yml up --build
+
 services:
   voicebox:
     build: .

docs/PROJECT_STATUS.md

@@ -1,6 +1,6 @@
 # Voicebox Project Status & Roadmap
 
-> Last updated: 2026-06-27 | Current version: **v0.5.0** | 402 open issues | 88 open PRs | 1.3M downloads · 34.8k stars
+> Last updated: 2026-07-02 | Current version: **v0.5.0** | 402 open issues | 88 open PRs | 1.3M downloads · 34.8k stars
 
 ---
 
@@ -218,6 +218,19 @@ Shipped 2026-04-25 (PR #544). Voicebox went from a voice-cloning studio to a ful
 
 **Integration shape if we revive it:** Zero-shot cloning maps naturally to the Chatterbox-style backend (store `ref_audio` + `ref_text` paths in the voice prompt dict, process at generate time). Est. ~250 lines for `voxcpm_backend.py` + one `ModelConfig` entry + engine registration in `backends/__init__.py`. Frontend UI gating is the bigger lift.
 
+### Funded Roadmap (2026-H2)
+
+`$VOICEBOX` funded ~2–3 months of full-time work; cadence resumes the week of 2026-06-27. Direction committed publicly in #806:
+
+| Item | Notes |
+|------|-------|
+| **Resume merge/release cadence** | Clear the 88-PR backlog, regular commits + releases — this is the immediate focus (see Tier 1) |
+| **Mobile companion app** | New surface; already drawing issues (#773 iPhone logout) |
+| **Encrypted cloud backup/sync** | For voice profiles + generations — first cloud feature; stays opt-in, local-first remains default |
+| **More TTS models** | Engine candidates in the Landscape section below; community PRs #507/#766/#777 in queue |
+| **Better GPU support** | Blackwell/sm_120, ROCm, DirectML, Intel — incl. paying testers for hardware the dev lacks |
+| **Bug fixes** | 0.5.0 regression cluster first (macOS load crash, capture cutoffs, MCP, refinement) |
+
 ### What's In-Flight
 
 | Feature | Branch/PR | Status |
@@ -226,7 +239,7 @@ Shipped 2026-04-25 (PR #544). Voicebox went from a voice-cloning studio to a ful
 | Engine sprawl cleanup | issue #419 | First-class vs experimental TTS backends distinction |
 | Frontend tech-debt burn-down | issue #421 | Biome + a11y debt before gating CI |
 | Docker registry auto-publish | PR #463, issue #453 | ghcr.io image on tag push |
-| New model research | `voicebox-new-models` branch | Evaluating Fish Speech, XTTS-v2, Pocket TTS, VibeVoice, Fish Audio S2, index-tts2 |
+| New model research | `voicebox-new-models` branch | Evaluating Fish Speech, XTTS-v2, Pocket TTS, VibeVoice, Fish Audio S2, index-tts2. **2026-06-27 sweep** added dots.tts, LongCat-AudioDiT, SoproTTS, NeuTTS, Nemotron/Cohere STT — see Landscape → New Candidate Sweep |
 
 ### TTS Engine Comparison
 
@@ -592,6 +605,43 @@ Notable:
 4. **Instruct support fills a real gap** (#173, #224, #303). Qwen CustomVoice partially addresses it with preset speakers; zero-shot clone-with-instruct is still unmet.
 5. **Long-form + streaming are user-requested** (#363, #365, #464). Candidates with native streaming (Pocket TTS, Fish Speech) get extra weight.
 
+### New Candidate Sweep (2026-06-27)
+
+A follow-up deep-research pass, filtered against everything already tracked — the shipped engines plus MOSS-TTS-Nano, Pocket TTS, IndicF5, VibeVoice, Voxtral, Fish/Fish Audio, XTTS-v2, index-tts2, VoxCPM2, OmniVoice, MioTTS, Oolel, Faster-Qwen, Orpheus/Sesame, MiniMax, RVC, Parakeet, Qwen3-ASR, Moshi, GLM-4-Voice, Qwen2.5-Omni — kept only where a **newer sibling/variant** changes the evaluation. Same criteria as the 04-18 cycle: cross-platform, PyPI/clean packaging, permissive license, quality, instruct/style control, long-form, streaming.
+
+**Top new TTS candidates**
+
+| Candidate | Add as | Why it matters | Caveat |
+|-----------|--------|----------------|--------|
+| **[dots.tts](https://github.com/rednote-hilab/dots.tts)** (soar / mf) | **Top new TTS candidate** | 2B fully-continuous end-to-end autoregressive TTS, 48 kHz AudioVAE output, zero-shot cloning via prompt audio/text, Apache-2.0 code+checkpoints, MeanFlow-distilled variant for low latency. Freshest "serious clone engine" not yet on the roadmap. | Git-source install with constraints, not clean PyPI. Needs Windows/macOS packaging + VRAM/CPU smoke test; probably experimental until platform gating exists. |
+| **[MOSS-TTS family](https://github.com/OpenMOSS/MOSS-TTS)** / v1.5 / Local-Transformer-v1.5 | **Upgrade the MOSS-Nano entry into a MOSS family epic** | We track only Nano, but MOSS now spans MOSS-TTS, TTSD (long multi-speaker dialogue), VoiceGenerator (text-prompt voice design), TTS-Realtime, SoundEffect. v1.5 adds broader languages, long-reference cloning, pause control, 48 kHz stereo, MLX/vLLM support, Apache-2.0. | Full 4B/8B variants aren't the lightweight Nano win. Treat as several engines/features, not one checkbox. |
+| **[LongCat-AudioDiT](https://arxiv.org/html/2603.29339v1)** | **High-priority Apple Silicon candidate** | 3.5B non-autoregressive diffusion TTS in waveform latent space, zero-shot cloning, already has an MLX conversion usable via `mlx_audio` — unusually aligned with our Apple Silicon base. | zh/en only, not realtime. Quality play, not low-latency agent speech. |
+| **[SoproTTS](https://github.com/samuel-vitorino/sopro)** | **Lightweight CPU/streaming cloned TTS** | 135M zero-shot cloning, `pip install -U sopro`, streaming + non-streaming APIs, 3–12s reference, claimed 250 ms TTFA / 0.05 RTF on M3 CPU. Strong local-first/low-maintenance fit. | English-focused, self-described as inconsistent — quality-test before promoting past experimental. |
+| **[NeuTTS Air / Nano](https://github.com/neuphonic/neutts)** | **GGUF/on-device cloned TTS** | On-device instant cloning, GGUF-ready, ~3s reference, laptop/phone/Pi targets. Air is Apache-2.0. | Needs a GGUF/llama.cpp-style wrapper, not a normal PyTorch backend. Nano has a separate NeuTTS Open License — split needs review. |
+| **[X-Voice](https://github.com/sunnyxrxrx/X-Voice)** | **Small multilingual clone** | 0.4B multilingual zero-shot cloning, 30 languages, IPA-style unified rep, claims no prompt-transcript requirement — targets a real cloning-UX pain point. | Verify license, packaging, production-readiness of weights/code. |
+| **[FireRedTTS-2](https://huggingface.co/FireRedTeam/FireRedTTS2)** | **Stories / podcast / multi-speaker** | Apache-2.0 long-form streaming, 3-min / 4-speaker dialogue, cross-lingual code-switching cloning, low first-packet latency. | Stories-editor engine more than a general default. Needs platform/VRAM testing. |
+| **[Maya1](https://huggingface.co/maya-research/maya1)** | **Expressive English voice-design** | 3B Apache-2.0, voice design, streaming, emotion/style tags, vLLM-compatible, 24 kHz, single-GPU. Good "voice personalities" / game-dialogue fit. | English-only, 16 GB+ VRAM — platform gating required. |
+
+**MOSS is now a family, not one checkbox.** The single `MOSS-TTS-Nano` row above should become an epic: keep Nano as the CPU-friendly model, and track v1.5 / Local-Transformer-v1.5, Realtime, TTSD, VoiceGenerator, and SoundEffect as siblings under it.
+
+**STT / capture candidates** (feed the planned streaming-transcription roadmap)
+
+| Candidate | Add as | Why it matters | Caveat |
+|-----------|--------|----------------|--------|
+| **[Nemotron 3.5 ASR Streaming 0.6B](https://huggingface.co/mlx-community/nemotron-3.5-asr-streaming-0.6b)** | **Top new STT candidate** | Cache-aware streaming FastConformer-RNNT, 40 language-locales, punctuation/caps, language-ID conditioning, MLX conversion path — strongest fit for planned streaming transcription. | NVIDIA-origin; verify license + non-CUDA (MLX/CPU) performance. |
+| **[Cohere Transcribe 03-2026](https://huggingface.co/blog/CohereLabs/cohere-transcribe-03-2026-release)** | **High-quality offline STT** | 2B Apache-2.0, 14 languages, ONNX/INT8 exports across CPU / Apple Silicon / GPU. Cleanest-looking offline `/transcribe` + captures candidate. | Less clearly a streaming dictation model than Nemotron. |
+| **[ARK-ASR 3B / 0.6B](https://huggingface.co/AutoArk-AI/ARK-ASR-3B)** | **Multilingual STT watch** | New family, broad European/Asian coverage, strong leaderboard claims, INT8 ONNX for edge. | Very new; likely `trust_remote_code`. Validate stability first. |
+| **[IBM Granite Speech 4.1 2B / NAR](https://huggingface.co/ibm-granite/granite-speech-4.1-2b)** | **ASR + speech translation** | Compact multilingual ASR + bidirectional speech translation (en/fr/de/es/pt/ja); NAR variant for latency-sensitive work. | More compelling if we expand into translation, not just dictation. |
+
+**Watch-list / blocked** (license or platform work must land first): LEMAS-TTS, Supertonic 3, KugelAudio, GLM-TTS, KittenTTS, TinyTTS (preset/on-device, not cloning); Sarashina2.2, Higgs Audio v3, T5Gemma-TTS, Step-Audio-EditX, MisoTTS (non-commercial terms or CUDA-heavy); MegaTTS3 (incomplete WaveVAE encoder distribution); PFluxTTS, LongCat-Next (paper-only / too broad). **Low-hanging Qwen-family variants:** `Qwen3-TTS-VoiceDesign` (fills text-to-voice-design with minimal churn) and ZipVoice/ZipVoice-Dialog (only if it brings zh-en/dialogue behavior our shipped LuxTTS doesn't already expose).
+
+**Roadmap patch from this sweep** (reflected in Tier 3 below):
+1. Replace the `MOSS-TTS-Nano` checkbox with a **MOSS-TTS family** epic (Nano tracked separately as the CPU model).
+2. New Tier-3 TTS candidates, in order: **dots.tts → LongCat-AudioDiT → SoproTTS → NeuTTS → X-Voice → FireRedTTS-2 → Maya1**.
+3. New STT expansion candidates, in order: **Nemotron 3.5 → Cohere Transcribe → ARK-ASR → Granite Speech**.
+4. Keep Sarashina2.2, Higgs v3, T5Gemma, Step-Audio-EditX, MisoTTS, MegaTTS3, PFluxTTS blocked/watch-only.
+5. **Do platform gating (bottleneck #6 / `ModelConfig.requires`) before shipping GPU-only engines** — Maya1, Step-Audio-EditX, MisoTTS, and probably dots.tts stay experimental until it exists.
+
 ### Adding a New Engine (Now Straightforward)
 
 With the model config registry and shared `EngineModelSelector` component, adding a new TTS engine requires:
@@ -675,9 +725,11 @@ The two-month gap means the highest-leverage work isn't new code — it's review
 
 ### Tier 3 — Future Engines (cross-platform preferred)
 
+Committed ordering (04-18 cycle), then the 2026-06-27 sweep additions. See Landscape → New Candidate Sweep for full rationale.
+
 | Priority | Item | Notes |
 |----------|------|-------|
-| 1 | **MOSS-TTS-Nano** | 0.1B, Apache 2.0, 4-core CPU realtime, 48 kHz stereo, streaming, 20 langs, released 2026-04-13. Best alignment with our criteria. Verify install ergonomics before committing. |
+| 1 | **MOSS-TTS family** (was MOSS-TTS-Nano) | Nano first: 0.1B, Apache 2.0, 4-core CPU realtime, 48 kHz stereo, streaming, 20 langs. Best alignment with our criteria. Then track v1.5 / Realtime / TTSD / VoiceGenerator / SoundEffect as siblings under one epic. |
 | 2 | **Pocket TTS** (Kyutai) | CPU-first 100M model. MIT. Fills streaming gap without CUDA dependency. Several European langs added by Feb 2026. |
 | 3 | **IndicF5** | Fills Indian-language gap (#339). Closes many language-request issues. |
 | 4 | **VibeVoice** (Microsoft, #172) | 1.5B, long-form multi-speaker (up to 90 min, 4 speakers). Strong Stories-editor fit. |
@@ -686,6 +738,25 @@ The two-month gap means the highest-leverage work isn't new code — it's review
 | 7 | **XTTS-v2** | 17+ langs, mature pip. CPML likely kills commercial use — verify. |
 | 8 | **index-tts2** (#370) | Unvetted. |
 | — | ~~**VoxCPM2**~~ | **Backlogged** — CUDA-only upstream. Revisit when tier system ships or MPS bugs are fixed upstream. |
+| — | *New (06-27 sweep), in order* → | |
+| 9 | **dots.tts** | 2B end-to-end AR, 48 kHz, Apache-2.0 + fast MeanFlow variant. Top new candidate. Git-source install — smoke-test packaging + VRAM; likely experimental until platform gating exists. |
+| 10 | **LongCat-AudioDiT** | 3.5B diffusion, has an MLX/`mlx_audio` path — best Apple Silicon fit. zh/en only, not realtime. |
+| 11 | **SoproTTS** | 135M, `pip install sopro`, streaming, ~250 ms TTFA / 0.05 RTF on M3 CPU. Quality-test first. |
+| 12 | **NeuTTS Air/Nano** | On-device GGUF cloning, ~3s reference. Needs a GGUF wrapper; Air is Apache-2.0, Nano license split needs review. |
+| 13 | **X-Voice** | 0.4B, 30 langs, no prompt-transcript required. Verify license/packaging. |
+| 14 | **FireRedTTS-2** | Apache-2.0 long-form multi-speaker/podcast streaming. Stories-editor engine; needs VRAM testing. |
+| 15 | **Maya1** | 3B Apache-2.0 expressive voice-design, emotion tags. English-only, 16 GB+ VRAM — gate behind platform tiers. |
+
+### Tier 3b — STT / Capture Candidates (06-27 sweep)
+
+Feeds the planned streaming-transcription roadmap; Whisper alternatives.
+
+| Priority | Item | Notes |
+|----------|------|-------|
+| 1 | **Nemotron 3.5 ASR Streaming 0.6B** | Cache-aware streaming FastConformer-RNNT, 40 locales, MLX path. Strongest streaming-dictation fit. Verify license + non-CUDA perf. |
+| 2 | **Cohere Transcribe 03-2026** | 2B Apache-2.0, 14 langs, ONNX/INT8 across CPU/Apple Silicon/GPU. Cleanest offline `/transcribe` candidate. |
+| 3 | **ARK-ASR 3B / 0.6B** | Broad multilingual, INT8 ONNX for edge. Very new; likely `trust_remote_code` — validate stability. |
+| 4 | **IBM Granite Speech 4.1 2B / NAR** | ASR + speech translation (en/fr/de/es/pt/ja). Compelling if we expand into translation. |
 
 ### ~~Previously Prioritized — Now Done~~
 

docs/content/docs/developer/contributing.mdx

@@ -188,7 +188,6 @@ When creating a pull request:
       <File name="src-tauri/" />
     </Folder>
     <File name="web/" />
-    <File name="landing/" />
     <File name="scripts/" />
   </Folder>
 </Files>

docs/content/docs/overview/gpu-acceleration.mdx

@@ -23,7 +23,7 @@ This page is for the cases where it doesn't:
 | **Windows + NVIDIA**        | PyTorch CUDA (cu128)      | Auto-downloads the CUDA backend binary on first use  |
 | **Windows + Intel Arc**     | PyTorch XPU (IPEX)        | New in 0.4 — works with Arc A-series and B-series    |
 | **Windows generic GPU**     | DirectML                  | Universal Windows GPU support; slower than CUDA      |
-| **Linux + NVIDIA**          | PyTorch CUDA (cu128)      | Same auto-download flow as Windows                   |
+| **Linux + NVIDIA**          | PyTorch CUDA (cu128)      | Use a local/remote Python backend with CUDA PyTorch  |
 | **Linux + AMD**             | PyTorch ROCm              | Auto-configures `HSA_OVERRIDE_GFX_VERSION`           |
 | **Linux + Intel Arc**       | PyTorch XPU (IPEX)        |                                                      |
 | **Any (no GPU)**            | PyTorch CPU               | Works everywhere; expect 5-50x slower than GPU       |
@@ -46,7 +46,7 @@ On M-series Macs, Voicebox ships an MLX-optimized backend that uses the Apple Ne
 
 The Whisper Turbo + MLX combo dropped transcription latency from ~20s to ~2-3s on M-series chips (see CHANGELOG entry for v0.1.10).
 
-## Windows / Linux + NVIDIA — The CUDA Backend Swap
+## Windows + NVIDIA — The CUDA Backend Swap
 
 Voicebox doesn't bundle CUDA into the main installer (it would balloon downloads to multi-gigabyte territory for users who don't have an NVIDIA GPU). Instead, when you first need it, the app downloads a separate **CUDA backend binary** that contains the PyTorch + CUDA runtime.
 

docs/content/docs/overview/introduction.mdx

@@ -75,7 +75,8 @@ No cloud fallback, no bring-your-own-API-key. Local is the product.
 | Platform | Backend | Notes |
 |----------|---------|-------|
 | macOS (Apple Silicon) | MLX (Metal) | 4-5x faster via Neural Engine |
-| Windows / Linux (NVIDIA) | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
+| Windows (NVIDIA)         | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
+| Linux (NVIDIA)           | PyTorch (CUDA) | Use a local/remote Python backend with CUDA PyTorch |
 | Linux (AMD) | PyTorch (ROCm) | Auto-configures HSA_OVERRIDE_GFX_VERSION |
 | Windows (any GPU) | DirectML | Universal Windows GPU support |
 | Intel Arc | IPEX/XPU | Intel discrete GPU acceleration |

justfile

@@ -43,6 +43,26 @@ setup-python:
     fi
     echo "Installing Python dependencies..."
     {{ pip }} install --upgrade pip -q
+    if [ "$(uname)" = "Linux" ]; then
+        torch_index=""
+        if [ -e /proc/driver/nvidia/version ] || [ -d /sys/module/nvidia ]; then
+            echo "Detected NVIDIA GPU — installing CUDA PyTorch..."
+            torch_index="https://download.pytorch.org/whl/cu128"
+        elif [ -e /dev/kfd ]; then
+            if [ -n "${VOICEBOX_ROCM_VERSION:-}" ]; then
+                rocm_ver="$VOICEBOX_ROCM_VERSION"
+            elif lspci 2>/dev/null | grep -qi "Navi 4"; then
+                rocm_ver=7.2
+            else
+                rocm_ver=6.3
+            fi
+            echo "Detected AMD GPU — installing ROCm PyTorch (rocm${rocm_ver})..."
+            torch_index="https://download.pytorch.org/whl/rocm${rocm_ver}"
+        fi
+        if [ -n "$torch_index" ]; then
+            {{ pip }} install torch torchaudio --index-url "$torch_index"
+        fi
+    fi
     {{ pip }} install -r {{ backend_dir }}/requirements.txt
     # Chatterbox pins numpy<1.26 / torch==2.6 which break on Python 3.12+
     {{ pip }} install --no-deps chatterbox-tts
@@ -52,6 +72,12 @@ setup-python:
     if [ "$(uname -m)" = "arm64" ] && [ "$(uname)" = "Darwin" ]; then
         echo "Detected Apple Silicon — installing MLX dependencies..."
         {{ pip }} install -r {{ backend_dir }}/requirements-mlx.txt
+        # mlx-lm and mlx-audio declare transformers>=5.x, which conflicts with
+        # our transformers<=4.57.x cap, so install them --no-deps (their other
+        # runtime deps are covered by requirements.txt / requirements-mlx.txt —
+        # see the note in requirements-mlx.txt and .github/workflows/release.yml)
+        {{ pip }} install --no-deps mlx-lm==0.31.1
+        {{ pip }} install --no-deps mlx-audio==0.4.1
     fi
     {{ pip }} install git+https://github.com/QwenLM/Qwen3-TTS.git
     {{ pip }} install pyinstaller ruff pytest pytest-asyncio -q
@@ -69,10 +95,10 @@ setup-python:
     }
     Write-Host "Installing Python dependencies..."
     & "{{ python }}" -m pip install --upgrade pip -q
-    $gpus = Get-CimInstance Win32_VideoController | Select-Object -ExpandProperty Name
-    Write-Host "Detected GPUs: $($gpus -join ', ')"
-    $hasNvidia = ($gpus | Where-Object { $_ -match 'NVIDIA' }).Count -gt 0
-    $hasIntelArc = ($gpus | Where-Object { $_ -match 'Arc' }).Count -gt 0
+    $gpus = Get-CimInstance Win32_VideoController | Select-Object -ExpandProperty Name; \
+    Write-Host "Detected GPUs: $($gpus -join ', ')"; \
+    $hasNvidia = ($gpus | Where-Object { $_ -match 'NVIDIA' }).Count -gt 0; \
+    $hasIntelArc = ($gpus | Where-Object { $_ -match 'Arc' }).Count -gt 0; \
     if ($hasNvidia) { \
         Write-Host "NVIDIA GPU detected — installing PyTorch with CUDA support..."; \
         & "{{ pip }}" install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128; \
@@ -206,12 +232,16 @@ build-server: _ensure-venv
 build-server: _ensure-venv
     $ErrorActionPreference = "Stop"; \
     $env:PATH = "{{ venv_bin }};$env:PATH"; \
-    & "{{ python }}" backend/build_binary.py; \
-    if ($LASTEXITCODE -ne 0) { throw "build_binary.py failed with exit code $LASTEXITCODE" }; \
     $triple = (rustc --print host-tuple); \
     New-Item -ItemType Directory -Path "{{ tauri_dir }}/src-tauri/binaries" -Force | Out-Null; \
+    & "{{ python }}" backend/build_binary.py; \
+    if ($LASTEXITCODE -ne 0) { throw "build_binary.py failed with exit code $LASTEXITCODE" }; \
     Copy-Item "backend/dist/voicebox-server.exe" "{{ tauri_dir }}/src-tauri/binaries/voicebox-server-$triple.exe" -Force; \
-    Write-Host "Copied sidecar: voicebox-server-$triple.exe"
+    Write-Host "Copied sidecar: voicebox-server-$triple.exe"; \
+    & "{{ python }}" backend/build_binary.py --shim; \
+    if ($LASTEXITCODE -ne 0) { throw "build_binary.py --shim failed with exit code $LASTEXITCODE" }; \
+    Copy-Item "backend/dist/voicebox-mcp.exe" "{{ tauri_dir }}/src-tauri/binaries/voicebox-mcp-$triple.exe" -Force; \
+    Write-Host "Copied sidecar: voicebox-mcp-$triple.exe"
 
 # Build CUDA server binary and place in app data dir for local testing
 [windows]

landing/.gitignore

@@ -1,35 +0,0 @@
-# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
-
-# dependencies
-/node_modules
-/.pnp
-.pnp.js
-
-# testing
-/coverage
-
-# next.js
-/.next/
-/out/
-
-# production
-/build
-
-# misc
-.DS_Store
-*.pem
-
-# debug
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-
-# local env files
-.env*.local
-
-# vercel
-.vercel
-
-# typescript
-*.tsbuildinfo
-next-env.d.ts

landing/README.md

@@ -1,100 +0,0 @@
-# Voicebox Landing Page
-
-Landing page for voicebox.sh - a modern Next.js 16 application.
-
-## Tech Stack
-
-- **Next.js 16** with App Router
-- **Bun** for package management
-- **Tailwind CSS** with shadcn/ui components
-- **TypeScript** with strict mode
-- **Railway** deployment ready
-
-## Getting Started
-
-### Prerequisites
-
-- Bun installed ([bun.sh](https://bun.sh))
-
-### Installation
-
-```bash
-cd landing
-bun install
-```
-
-### Development
-
-```bash
-bun run dev
-```
-
-Open [http://localhost:3000](http://localhost:3000) to view the landing page.
-
-### Build
-
-```bash
-bun run build
-```
-
-### Production
-
-```bash
-bun run start
-```
-
-## Configuration
-
-### Update Download Links
-
-Edit `src/lib/constants.ts` to update:
-- `LATEST_VERSION` - Current release version
-- `DOWNLOAD_LINKS` - GitHub release download URLs
-- `GITHUB_REPO` - Repository URL
-
-### Update GitHub Username
-
-Replace `USERNAME` in `src/lib/constants.ts` with your actual GitHub username.
-
-## Deployment to Railway
-
-1. Connect your GitHub repository to Railway
-2. Railway will auto-detect `nixpacks.toml`
-3. Set root directory to `landing/`
-4. Railway will automatically:
-   - Install dependencies with `bun install`
-   - Build with `bun run build`
-   - Start with `bun run start`
-5. Configure custom domain `voicebox.sh` in Railway settings
-
-## Project Structure
-
-```
-landing/
-├── src/
-│   ├── app/
-│   │   ├── layout.tsx      # Root layout with metadata
-│   │   ├── page.tsx        # Landing page
-│   │   └── globals.css     # Global styles
-│   ├── components/
-│   │   ├── Header.tsx      # Top navigation
-│   │   ├── Footer.tsx      # Footer
-│   │   ├── DownloadSection.tsx  # Download buttons
-│   │   └── ui/             # shadcn/ui components
-│   └── lib/
-│       ├── utils.ts        # Utility functions
-│       └── constants.ts    # App constants
-├── public/
-│   └── voicebox-logo.png   # Logo asset
-└── nixpacks.toml          # Railway deployment config
-```
-
-## Features
-
-- Responsive design (mobile-first)
-- Dark mode by default
-- SEO optimized metadata
-- Download links for Mac, Windows, Linux
-- Feature showcase
-- Platform highlights
-- GitHub integration

landing/components.json

@@ -1,18 +0,0 @@
-{
-  "$schema": "https://ui.shadcn.com/schema.json",
-  "style": "default",
-  "rsc": true,
-  "tsx": true,
-  "tailwind": {
-    "config": "tailwind.config.js",
-    "css": "src/app/globals.css",
-    "baseColor": "slate",
-    "cssVariables": true,
-    "prefix": ""
-  },
-  "aliases": {
-    "components": "@/components",
-    "utils": "@/lib/utils",
-    "ui": "@/components/ui"
-  }
-}

landing/next.config.js

@@ -1,12 +0,0 @@
-/** @type {import('next').NextConfig} */
-const nextConfig = {
-  reactStrictMode: true,
-  output: 'standalone',
-  images: {
-    unoptimized: false,
-    formats: ['image/avif', 'image/webp'],
-  },
-  turbopack: {},
-};
-
-module.exports = nextConfig;

landing/nixpacks.toml

@@ -1,11 +0,0 @@
-[phases.setup]
-nixPkgs = ["nodejs_20", "bun"]
-
-[phases.install]
-cmds = ["bun install"]
-
-[phases.build]
-cmds = ["bun run build"]
-
-[start]
-cmd = "bun run start"

landing/package.json

@@ -1,38 +0,0 @@
-{
-  "name": "@voicebox/landing",
-  "version": "0.5.0",
-  "description": "Landing page for voicebox.sh",
-  "scripts": {
-    "dev": "next dev --turbo",
-    "build": "bun --bun next build",
-    "start": "bun --bun next start",
-    "lint": "next lint"
-  },
-  "dependencies": {
-    "@fontsource/space-grotesk": "^5.2.10",
-    "@icons-pack/react-simple-icons": "^13.13.0",
-    "@radix-ui/react-separator": "^1.1.8",
-    "@radix-ui/react-slot": "^1.2.4",
-    "autoprefixer": "^10.4.17",
-    "class-variance-authority": "^0.7.1",
-    "clsx": "^2.1.1",
-    "framer-motion": "^12.36.0",
-    "gray-matter": "^4.0.3",
-    "lucide-react": "^0.316.0",
-    "marked": "^18.0.5",
-    "next": "^16.1.3",
-    "postcss": "^8.4.33",
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0",
-    "tailwind-merge": "^3.4.0",
-    "tailwindcss": "^3.4.1",
-    "tailwindcss-animate": "^1.0.7",
-    "wavesurfer.js": "^7.12.2"
-  },
-  "devDependencies": {
-    "@types/node": "^20.11.5",
-    "@types/react": "^18.2.48",
-    "@types/react-dom": "^18.2.18",
-    "typescript": "^5.3.3"
-  }
-}

landing/postcss.config.js

@@ -1,6 +0,0 @@
-module.exports = {
-  plugins: {
-    tailwindcss: {},
-    autoprefixer: {},
-  },
-};