ci(release): pin free-disk-space action + stop removing LLVM

Review feedback on the Linux release workflow:

1. `jlumbroso/free-disk-space@main` was an unpinned ref in a job that
   runs with `contents: write` and handles signing secrets. Pin to the
   v1.3.1 commit SHA so a force-push or repo compromise can't inject
   arbitrary code into our release flow.

2. `large-packages: true` runs `apt-get remove '^llvm-.*'`, wiping LLVM
   just before the next step installs `llvm-dev`. That wastes CI time
   and risks cascade-removal of reverse deps that won't be pulled back
   in by `llvm-dev` alone. The remaining toggles (android, dotnet,
   haskell, swap-storage) already clear ~20 GB, which is enough
   headroom for the Python + torch + PyInstaller build.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>

.github/workflows/release.yml

@@ -26,12 +26,45 @@ jobs:
             args: ""
             python-version: "3.12"
             backend: "pytorch"
+          - platform: "ubuntu-22.04"
+            # --config override disables updater-artifact generation on Linux.
+            # tauri.conf.json has createUpdaterArtifacts: "v1Compatible" which
+            # on Linux wants to synthesize a .AppImage.tar.gz by downloading
+            # linuxdeploy at build time — this is what silently hangs CI
+            # (see v0.4.2 round 2, 25 min of no output after rpm bundling).
+            # We ship deb+rpm only; Linux users update via apt/dnf, not the
+            # Tauri in-app updater.
+            args: '--target x86_64-unknown-linux-gnu --bundles deb,rpm --verbose --config {"bundle":{"createUpdaterArtifacts":false}}'
+            python-version: "3.12"
+            backend: "pytorch"
 
     runs-on: ${{ matrix.platform }}
 
     steps:
       - uses: actions/checkout@v4
 
+      # Ubuntu runners ship with ~14 GB free; pip + PyInstaller + torch can
+      # peak well above that during the build. Reclaim ~25 GB by pruning
+      # preinstalled toolchains we don't use. This is what likely tripped
+      # the March 2026 Linux release attempts (see commit 103e98b
+      # "github runners suck") — not a code issue, a disk-pressure one.
+      - name: Free up disk space (ubuntu)
+        if: contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')
+        # Pinned to v1.3.1 (SHA) — this job runs with contents: write and
+        # handles signing secrets later, so we don't want a floating ref.
+        uses: jlumbroso/free-disk-space@54081f138730dfa15788a46383842cd2f914a1be
+        with:
+          tool-cache: false
+          android: true
+          dotnet: true
+          haskell: true
+          # large-packages: true would `apt-get remove '^llvm-.*'`, which
+          # cascade-removes reverse deps that won't be pulled back in by the
+          # `llvm-dev` install below. The other flags already free ~20 GB,
+          # enough for the Python + torch + PyInstaller build.
+          large-packages: false
+          swap-storage: true
+
       - name: Install dependencies (ubuntu only)
         if: contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')
         run: |
@@ -133,6 +166,21 @@ jobs:
           p12-file-base64: ${{ secrets.APPLE_CERTIFICATE }}
           p12-password: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
 
+      - name: Disk / environment snapshot (pre-bundle debug)
+        if: contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')
+        run: |
+          echo "=== df -h ==="
+          df -h
+          echo "=== free -h ==="
+          free -h
+          echo "=== Rust / Cargo ==="
+          rustc --version
+          cargo --version
+          echo "=== Bun ==="
+          bun --version
+          echo "=== Tauri CLI ==="
+          cd tauri && bun run tauri --version
+
       - name: Extract release notes from CHANGELOG.md
         id: changelog
         shell: bash
@@ -156,7 +204,13 @@ jobs:
             echo "CHANGELOG_EOF"
           } >> "$GITHUB_OUTPUT"
 
+      # Linux hang watchdog: previous releases silently wedged inside tauri
+      # bundling (possibly linuxdeploy/AppImage download, possibly cargo link).
+      # Cap the step at 30 min so we get logs instead of waiting out the 6hr
+      # job timeout. Other platforms historically complete in ~25 min, so 45
+      # is comfortable.
       - uses: tauri-apps/[email protected]
+        timeout-minutes: ${{ (contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')) && 30 || 45 }}
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -168,6 +222,9 @@ jobs:
           APPLE_PROVIDER_SHORT_NAME: ${{ secrets.APPLE_PROVIDER_SHORT_NAME }}
           APPLE_API_ISSUER: ${{ secrets.APPLE_API_ISSUER }}
           APPLE_API_KEY: ${{ secrets.APPLE_API_KEY }}
+          # Stream subprocess stdout/stderr so the hang is visible in logs.
+          CARGO_TERM_VERBOSE: "true"
+          RUST_BACKTRACE: "1"
         with:
           projectPath: tauri
           tagName: v__VERSION__

CONTRIBUTING.md

@@ -359,7 +359,7 @@ Releases are managed by maintainers:
 
 ## Troubleshooting
 
-See [docs/content/docs/overview/troubleshooting.mdx](docs/content/docs/overview/troubleshooting.mdx) for common issues and solutions.
+See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues and solutions.
 
 **Quick fixes:**
 
@@ -372,7 +372,7 @@ See [docs/content/docs/overview/troubleshooting.mdx](docs/content/docs/overview/
 - Open an issue for bugs or feature requests
 - Check existing issues and discussions
 - Review the codebase to understand patterns
-- See [docs/content/docs/overview/troubleshooting.mdx](docs/content/docs/overview/troubleshooting.mdx) for common issues
+- See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues
 
 ## Additional Resources
 

README.md

@@ -33,8 +33,7 @@
   <a href="https://docs.voicebox.sh">Docs</a> •
   <a href="#download">Download</a> •
   <a href="#features">Features</a> •
-  <a href="#api">API</a> •
-  <a href="docs/content/docs/overview/troubleshooting.mdx">Troubleshooting</a>
+  <a href="#api">API</a>
 </p>
 
 <br/>
@@ -92,8 +91,6 @@ Voicebox is a **local-first voice cloning studio** — a free and open-source al
 
 > **Linux** — Pre-built binaries are not yet available. See [voicebox.sh/linux-install](https://voicebox.sh/linux-install) for build-from-source instructions.
 
-> **Having trouble?** See the [Troubleshooting Guide](docs/content/docs/overview/troubleshooting.mdx) for common install, generation, model-download, and GPU issues.
-
 ---
 
 ## Features

app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@voicebox/app",
-  "version": "0.4.1",
+  "version": "0.4.2",
   "private": true,
   "type": "module",
   "scripts": {

backend/tests/test_audio_preprocess.py

@@ -1,112 +0,0 @@
-"""
-Unit tests for reference-audio preprocessing.
-
-Covers :func:`backend.utils.audio.preprocess_reference_audio` and
-:func:`backend.utils.audio.validate_and_load_reference_audio`.
-"""
-
-import sys
-from pathlib import Path
-
-import numpy as np
-import pytest
-import soundfile as sf
-
-sys.path.insert(0, str(Path(__file__).parent.parent))
-
-from utils.audio import (  # noqa: E402
-    preprocess_reference_audio,
-    validate_and_load_reference_audio,
-)
-
-
-SR = 24000
-
-
-def _tone(duration_s: float, amp: float = 0.3, freq: float = 220.0) -> np.ndarray:
-    n = int(duration_s * SR)
-    t = np.arange(n, dtype=np.float32) / SR
-    return (amp * np.sin(2 * np.pi * freq * t)).astype(np.float32)
-
-
-def test_peak_cap_scales_hot_input():
-    audio = _tone(3.0, amp=0.99)
-    out = preprocess_reference_audio(audio, SR)
-    assert np.abs(out).max() <= 0.951
-
-
-def test_peak_cap_leaves_moderate_input_untouched():
-    audio = _tone(3.0, amp=0.5)
-    out = preprocess_reference_audio(audio, SR)
-    assert np.isclose(np.abs(out).max(), 0.5, atol=1e-3)
-
-
-def test_dc_offset_removed():
-    audio = _tone(3.0, amp=0.3) + 0.1
-    out = preprocess_reference_audio(audio, SR)
-    assert abs(float(np.mean(out))) < 1e-3
-
-
-def test_silence_is_trimmed_with_padding_kept():
-    silence = np.zeros(int(SR * 1.0), dtype=np.float32)
-    speech = _tone(3.0, amp=0.3)
-    audio = np.concatenate([silence, speech, silence])
-    out = preprocess_reference_audio(audio, SR)
-    # Most of the 2s of leading/trailing silence should be gone, but the
-    # 3s of speech plus ~200ms of padding should remain.
-    assert len(audio) - len(out) >= SR, "expected >=1s of silence trimmed"
-    assert len(out) >= int(3.0 * SR), "speech body should be preserved"
-
-
-def test_clean_audio_is_not_padded_past_original_length():
-    # Well-recorded audio with no edge silence shouldn't get longer after
-    # preprocessing — otherwise a 29.9 s upload could be pushed past the
-    # 30 s max_duration ceiling downstream.
-    audio = _tone(3.0, amp=0.3)
-    out = preprocess_reference_audio(audio, SR)
-    assert len(out) <= len(audio)
-
-
-def test_empty_input_returns_empty():
-    out = preprocess_reference_audio(np.zeros(0, dtype=np.float32), SR)
-    assert out.size == 0
-
-
-def test_validate_accepts_previously_rejected_hot_file(tmp_path):
-    audio = _tone(3.0, amp=0.995)
-    path = tmp_path / "hot.wav"
-    sf.write(str(path), audio, SR)
-
-    ok, err, out_audio, out_sr = validate_and_load_reference_audio(str(path))
-
-    assert ok, f"expected pass, got error: {err}"
-    assert out_audio is not None
-    assert out_sr == SR
-    assert np.abs(out_audio).max() <= 0.951
-
-
-def test_validate_still_rejects_silent_input(tmp_path):
-    audio = np.zeros(int(SR * 3.0), dtype=np.float32)
-    path = tmp_path / "silent.wav"
-    sf.write(str(path), audio, SR)
-
-    ok, err, _, _ = validate_and_load_reference_audio(str(path))
-
-    assert not ok
-    assert err is not None
-    assert "too short" in err.lower() or "quiet" in err.lower()
-
-
-def test_validate_rejects_too_short(tmp_path):
-    audio = _tone(0.5, amp=0.3)
-    path = tmp_path / "short.wav"
-    sf.write(str(path), audio, SR)
-
-    ok, err, _, _ = validate_and_load_reference_audio(str(path))
-
-    assert not ok
-    assert "too short" in (err or "").lower()
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v"])

backend/utils/audio.py

@@ -199,66 +199,6 @@ def trim_tts_output(
     return trimmed
 
 
-def preprocess_reference_audio(
-    audio: np.ndarray,
-    sample_rate: int,
-    peak_target: float = 0.95,
-    trim_top_db: float = 40.0,
-    edge_padding_ms: int = 100,
-) -> np.ndarray:
-    """
-    Clean up a reference-audio sample before validation/storage.
-
-    Removes DC offset, trims leading/trailing silence, and caps the peak so a
-    slightly-hot recording doesn't get rejected downstream as "clipping". The
-    goal is to accept reasonable real-world recordings — not to repair badly
-    distorted ones. True clipping artifacts inside the waveform can't be
-    recovered by peak scaling and will still sound bad.
-
-    Args:
-        audio: Mono audio array.
-        sample_rate: Sample rate of ``audio`` in Hz.
-        peak_target: Peak amplitude cap in [0, 1]. Applied only if the input
-            peak exceeds this value.
-        trim_top_db: Silence threshold for edge trimming, in dB below peak.
-            40 dB sits below normal speech dynamic range (≈30 dB) so soft
-            trailing syllables are preserved, while still catching obvious
-            leading/trailing silence. Lower values are more aggressive;
-            librosa's own default is 60.
-        edge_padding_ms: Milliseconds of padding to add back at each edge
-            *only if* trimming shortened the waveform, so TTS engines have a
-            brief silence to anchor on without ever making the output longer
-            than the input.
-
-    Returns:
-        Preprocessed audio array (float32).
-    """
-    audio = audio.astype(np.float32, copy=False)
-
-    if audio.size == 0:
-        return audio
-
-    audio = audio - float(np.mean(audio))
-
-    trimmed, _ = librosa.effects.trim(audio, top_db=trim_top_db)
-    if 0 < trimmed.size < audio.size:
-        pad_each = int(sample_rate * edge_padding_ms / 1000)
-        # Never pad past the original length — for near-max-duration uploads
-        # an unconditional pad would push them over the 30 s ceiling and
-        # trigger a spurious "too long" rejection.
-        headroom = (audio.size - trimmed.size) // 2
-        pad = min(pad_each, max(headroom, 0))
-        if pad > 0:
-            trimmed = np.pad(trimmed, (pad, pad), mode="constant")
-        audio = trimmed
-
-    peak = float(np.abs(audio).max())
-    if peak > peak_target and peak > 0:
-        audio = audio * (peak_target / peak)
-
-    return audio
-
-
 def validate_reference_audio(
     audio_path: str,
     min_duration: float = 2.0,
@@ -267,13 +207,13 @@ def validate_reference_audio(
 ) -> Tuple[bool, Optional[str]]:
     """
     Validate reference audio for voice cloning.
-
+    
     Args:
         audio_path: Path to audio file
         min_duration: Minimum duration in seconds
         max_duration: Maximum duration in seconds
         min_rms: Minimum RMS level
-
+        
     Returns:
         Tuple of (is_valid, error_message)
     """
@@ -291,28 +231,26 @@ def validate_and_load_reference_audio(
 ) -> Tuple[bool, Optional[str], Optional[np.ndarray], Optional[int]]:
     """
     Validate and load reference audio in a single pass.
-
-    Applies :func:`preprocess_reference_audio` before checks so that
-    slightly-hot recordings aren't rejected as clipping. Duration and RMS
-    checks run on the preprocessed waveform.
-
+    
     Returns:
         Tuple of (is_valid, error_message, audio_array, sample_rate)
     """
     try:
         audio, sr = load_audio(audio_path)
-        audio = preprocess_reference_audio(audio, sr)
         duration = len(audio) / sr
-
+        
         if duration < min_duration:
             return False, f"Audio too short (minimum {min_duration} seconds)", None, None
         if duration > max_duration:
             return False, f"Audio too long (maximum {max_duration} seconds)", None, None
-
+        
         rms = np.sqrt(np.mean(audio**2))
         if rms < min_rms:
             return False, "Audio is too quiet or silent", None, None
-
+        
+        if np.abs(audio).max() > 0.99:
+            return False, "Audio is clipping (reduce input gain)", None, None
+        
         return True, None, audio, sr
     except Exception as e:
         return False, f"Error validating audio: {str(e)}", None, None

bun.lock

@@ -17,7 +17,7 @@
     },
     "app": {
       "name": "@voicebox/app",
-      "version": "0.4.1",
+      "version": "0.2.0",
       "dependencies": {
         "@dnd-kit/core": "^6.3.1",
         "@dnd-kit/sortable": "^10.0.0",
@@ -72,10 +72,9 @@
     },
     "landing": {
       "name": "@voicebox/landing",
-      "version": "0.4.1",
+      "version": "0.2.0",
       "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",
@@ -101,7 +100,7 @@
     },
     "tauri": {
       "name": "@voicebox/tauri",
-      "version": "0.4.1",
+      "version": "0.2.0",
       "dependencies": {
         "@tauri-apps/api": "^2.0.0",
         "@tauri-apps/plugin-dialog": "^2.0.0",
@@ -124,7 +123,7 @@
     },
     "web": {
       "name": "@voicebox/web",
-      "version": "0.4.1",
+      "version": "0.2.0",
       "dependencies": {
         "@tanstack/react-query": "^5.0.0",
         "react": "^18.3.0",
@@ -288,8 +287,6 @@
 
     "@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=="],

docs/PROJECT_STATUS.md

@@ -1,6 +1,6 @@
 # Voicebox Project Status & Roadmap
 
-> Last updated: 2026-04-18 | Current version: **v0.4.1** | 232 open issues | 12 open PRs
+> Last updated: 2026-04-18 | Current version: **v0.4.1** | ~155 open issues | 12 open PRs
 
 ---
 
@@ -224,8 +224,6 @@ POST /generate
 - **Blackwell (RTX 50-series) CUDA**: cu128 + sm_120 kernel support shipped (PR #401, #316), but users still report `cudaErrorNoKernelImageForDevice` (#417, #400, #396, #395, #390, #362) — likely a stale CUDA binary on upgraded installs. Needs a follow-up diagnostic / forced re-download path.
 - **Long text 50k character limit** (#464, #365, #354): Still hit on GPU despite chunking (PR #266). Chunking reliability needs another pass.
 - **ROCm on RDNA 3/4** (#469): `HSA_OVERRIDE_GFX_VERSION` is hardcoded and harms newer cards.
-- **`flash-attn is not installed` warning on every platform (cosmetic, common user complaint)**: Our transformer-based engines (Chatterbox / Qwen) emit `Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference.` on every startup, on every platform — we don't pin `flash-attn` in requirements because installing it is fragile and version-sensitive. Fallback is PyTorch SDPA, which is near-FA2 throughput on Ampere+ and is what actually runs. **Per-platform reality:** (a) **macOS/Apple Silicon** — FlashAttention is CUDA-only, irrelevant here; MLX has its own attention kernels. (b) **Linux** — `pip install flash-attn --no-build-isolation` works but takes 20+ min to compile. (c) **Windows** — no official support (Dao-AILab README still says only "Might work"; source builds routinely fail on recent CUDA/MSVC, issues #1715, #1828, #2395). Windows users can install community prebuilt wheels from `kingbri1/flash-attention` or `bdashore3/flash-attention` (latest v2.8.3, Aug 2025; `win_amd64` wheels for CUDA 12.4/12.8, Torch 2.6–2.9, Python 3.10–3.13) matching their exact CUDA/Torch/Python, or use WSL2. **Native-Windows alternatives worth considering as a build-time swap:** SageAttention (thu-ml, Apache 2.0, claims 2–5× over FA2) and xformers (official Windows wheels). **Action for us:** troubleshooting doc now covers it (see `docs/content/docs/overview/troubleshooting.mdx`), and we should optionally suppress the warning via `logging.getLogger(...).setLevel(ERROR)` at backend import since the fallback is functionally fine.
-- **WebAudio playback dies after audio-session interruption** (#41, plus an internal repro where the app is backgrounded long enough): WaveSurfer's `AudioContext` gets suspended by macOS — either because another app grabs the audio output, or because the WKWebView throttles when backgrounded. `play()` resolves and `timeupdate` can still fire, but no audio reaches the output. Only app restart fixes it. **Things already tried that didn't work:** (a) swapping WaveSurfer backend away from WebAudio — introduced more bugs, not an option; (b) remount hook on the player — doesn't help because a freshly-created `AudioContext` is born suspended and only resumes on a user gesture. PR #293 was a prior partial fix that doesn't cover this path. **Next thing to try** (not yet attempted — confirmed via grep of `AudioPlayer.tsx`): call `wavesurfer.getMediaElement().getGainNode().context.resume()` on the play button click (the click itself is a valid user gesture), plus a `visibilitychange` + `statechange` listener as belt-and-suspenders. The `ctx.resume()` pattern already exists in the codebase at `useStoryPlayback.ts:52` — just not wired into the main player.
 
 ---
 
@@ -305,15 +303,9 @@ POST /generate
 
 Still reported. Users get stuck downloads, can't resume, offline mode edge cases.
 
-**Key issues:** #475 (MAC CustomVoice install error), #449 (infinite loading macOS), #445 (can't download CustomVoice), #462 (Qwen requires internet even when loaded — regression from #150), #434 (infinite retry loop offline — PR #443 open), #432 (storage location change hangs when empty — partly fixed by PR #439/#433), #348 (TADA 3B Multilingual download fails), #336 (TADA model not listed in app), #275 (`No module named 'chatterbox'` on download), #304 (whisper-base feature extractor load error), #287 (macOS ARM `check_model_inputs` ImportError on new version), #181, #180.
+**Key issues:** #475 (MAC CustomVoice install error), #449 (infinite loading macOS), #445 (can't download CustomVoice), #462 (Qwen requires internet even when loaded — regression from #150), #434 (infinite retry loop offline — PR #443 open), #432 (storage location change hangs when empty — partly fixed by PR #439/#433), #181, #180.
 
-**Fix path:** PR #443 addresses infinite offline retry. CustomVoice-specific download failures (#475, #445) need triage — likely related to frozen-binary import fixes in PR #438. TADA cluster (#336, #348) and macOS ARM import regressions (#287, #275, #304) need a dedicated triage pass.
-
-**Qwen 0.6B-downloads-1.7B reports:** **#485** (2026-04-19), **#423** (macOS M1), **#329**. Platform-dependent:
-
-- **On MLX (Apple Silicon) — not a bug.** `mlx-community` only publishes 1.7B-Base-bf16 weights, so the 0.6B Base option intentionally resolves to the same repo (`backend/backends/__init__.py:180` — `# 0.6B not available in MLX, falls back`). UX gap: the selector offers a size that doesn't exist on the active backend. Fix: (a) hide the 0.6B option on MLX, or (b) label it "0.6B (uses 1.7B on Apple Silicon)".
-- **On PyTorch (Windows/Linux/CUDA/ROCm/XPU/CPU) — real bug if reported.** Both 0.6B and 1.7B have distinct repos (`Qwen/Qwen3-TTS-12Hz-0.6B-Base` vs `-1.7B-Base`). Triage each report by platform before merging into the MLX cluster.
-- **Qwen CustomVoice (either platform)** — no fallback, both sizes always have dedicated repos.
+**Fix path:** PR #443 addresses infinite offline retry. CustomVoice-specific download failures (#475, #445) need triage — likely related to frozen-binary import fixes in PR #438.
 
 ### Language Requests (ongoing)
 
@@ -372,9 +364,6 @@ Notable:
 - **#383** — Concatenate partial reference audio into generated audio
 - **#382** — Lightning.ai support
 - **#376** — Remote mode
-- **#353** — Audio transcoding
-- **#317** — Voice pitch control
-- **#189** — "Auto" language option
 - **#173** — Vocal intonation/inflection control
 - **#165, #270** — Audiobook mode (PR #154 open)
 - **#242** — Seed value pinning
@@ -382,40 +371,17 @@ Notable:
 - **#235** — Finetuned Qwen3-TTS tokenizer (PR #253 open)
 - **#144** — Copy text to clipboard
 
-### Housekeeping / Triage Needed
-
-| Issue | Reason |
-|-------|--------|
-| **#431**, **#408** | Spam — Chinese "free Claude API" promos. Close. |
-| **#398** ("Excelente") | Non-issue. Close. |
-| **#357** | Informational — project featured in Awesome MLX. Close after acknowledgement. |
-| **#374**, **#377** | Version-release questions, no bug. Close. |
-| **#306** ("voice model"), **#389** ("New model"), **#473** ("New functionality") | Title-only issues, no content. Request details or close. |
-| **#309** | Uninstall/cleanup question. Answer and close. |
-| **#241** | "How to use in Colab" — support question, not a bug. |
-| **#423** / **#485** / **#329** | Platform-dependent. On MLX: not a bug (0.6B weights don't exist upstream, fallback is intentional — fix UX). On PyTorch: real bug if reproducible. Classify each by reporter's platform before deduping. |
-| **#336** / **#348** | TADA download/registration cluster — triage together. |
-| **#287** / **#275** / **#304** | macOS ARM import regressions on new version — likely one root cause. |
-| **#292**, **#349** | Possibly already fixed by merged PRs (#321/#412 and #345). Verify + close. |
-
-**~70 older issues (pre-#170) not individually categorized above.** Most are long-tail support questions or duplicates of problems now addressed by the multi-engine / model-registry work. A dedicated backlog-sweep pass is overdue.
-
 ### Bugs (ongoing)
 
 | Category | Issues |
 |----------|--------|
-| Generation failures | #476, #467, #452, #459 (voice clone fetch error), #468 (tada-1b marked error), #437, #300, #301, #282 |
-| Audio quality | #456 (clipping errors v0.4.0), #436 (emotion labels), #333 (pitch/echo), #307 (by-model breakdown), #340 (all generations say "www...") |
-| Transcription | #371 (fails every time), #291 (extract transcription from generated audio) |
-| Effects / presets | #349 ("Failed to save" when creating effects presets — possibly fixed by merged #345) |
-| File ops | #477 (spacy_pkuseg dict missing on frozen Windows build), #472 (storage location change), #283 (allow longer files for voice creation + in-app trim), #350 (failed to add sample) |
-| History | #292 (can't delete failed generations — possibly fixed by merged #321/#412) |
-| Windows | #466 (install problem), #375 (WinError 5 access denied), #273 (port 8000 conflict), #201 (model doesn't stay loaded) |
-| Linux | #471 (thread-safe PULSE_SOURCE), #413 (Arch build), #409 (Kubuntu build), #351, #341 |
-| macOS | #441 (older macOS), #369 (malware flag), #334 (microphone permission), #287 (`check_model_inputs` ImportError — regression), #171 (ARM64 binary won't open) |
-| Profile/UI | #360 (Kokoro profile hides others — partly addressed by auto-switch), #299 (drag-drop on Win11), #329 (size selector state bug), #393 (stuck loading screen after reinstall to new dir) |
-| Integrations | #397 (SAMMI-bot 422 Unprocessable Entity) |
-| Audio playback / session | **#41** (macOS: Voicebox goes silent after another app takes audio output; restart restores it) — see deep-dive below |
+| Generation failures | #476, #467, #452, #459 (voice clone fetch error), #468 (tada-1b marked error), #437, #282 |
+| Audio quality | #456 (clipping errors v0.4.0), #436 (emotion labels), #333 (pitch/echo), #307 (by-model breakdown) |
+| File ops | #477 (spacy_pkuseg dict missing on frozen Windows build), #472 (storage location change) |
+| Windows | #466 (install problem), #273 (port 8000 conflict) |
+| Linux | #471 (thread-safe PULSE_SOURCE), #413 (Arch build), #409 (Kubuntu build), #341 |
+| macOS | #441 (older macOS), #369 (malware flag), #171 (ARM64 binary won't open) |
+| Profile/UI | #360 (Kokoro profile hides others — partly addressed by auto-switch), #299 (drag-drop on Win11), #329 (size selector state bug) |
 | Database | #174 (sqlite3 IntegrityError) |
 
 ---

docs/content/docs/TROUBLESHOOTING.md

@@ -0,0 +1,311 @@
+---
+title: "Troubleshooting Guide"
+description: "Common issues and solutions for Voicebox"
+---
+
+Common issues and solutions for Voicebox.
+
+## Installation Issues
+
+### macOS: "Voicebox cannot be opened because it is from an unidentified developer"
+
+**Solution:**
+1. Right-click the `.dmg` file
+2. Select "Open"
+3. Click "Open" in the security dialog
+4. Alternatively, go to System Settings → Privacy & Security → Allow Voicebox
+
+### Windows: "Windows protected your PC"
+
+**Solution:**
+1. Click "More info"
+2. Click "Run anyway"
+3. Windows Defender may flag new software; this is normal for unsigned apps
+
+### Linux: AppImage won't run
+
+**Solution:**
+```bash
+chmod +x voicebox-*.AppImage
+./voicebox-*.AppImage
+```
+
+## Runtime Issues
+
+### Server won't start
+
+**Symptoms:** App opens but shows "Server not connected"
+
+**Solutions:**
+1. **Check Python installation**
+   ```bash
+   python --version  # Should be 3.11+
+   ```
+
+2. **Check server binary exists**
+   - Look in `tauri/src-tauri/binaries/` for your platform
+   - Binary should match your system architecture
+
+3. **Check permissions**
+   ```bash
+   # macOS/Linux
+   chmod +x tauri/src-tauri/binaries/voicebox-server-*
+   ```
+
+4. **Check logs**
+   - macOS: Open Console.app and search for "voicebox"
+   - Linux: Check `~/.local/share/voicebox/` for logs
+   - Windows: Check Event Viewer
+
+### "Model download failed"
+
+**Symptoms:** First generation fails with download error
+
+**Solutions:**
+1. **Check internet connection**
+   - Models download from HuggingFace Hub (~2-4GB)
+   - First download may take several minutes
+
+2. **Check disk space**
+   - Models are cached in `~/.cache/huggingface/`
+   - Ensure at least 5GB free space
+
+3. **Manual download** (if automatic fails)
+   ```bash
+   pip install huggingface_hub
+   huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
+   ```
+
+### "Out of memory" errors
+
+**Symptoms:** Generation fails with CUDA/VRAM errors
+
+**Solutions:**
+1. **Use smaller model**
+   - Switch to 0.6B model instead of 1.7B
+   - Settings → Model Management → Load 0.6B
+
+2. **Close other applications**
+   - Free up GPU memory
+   - Close browser tabs, other ML apps
+
+3. **Use CPU mode**
+   - Slower but works without GPU
+   - Backend automatically falls back to CPU
+
+### MLX "Failed to load the default metallib" error (Apple Silicon)
+
+**Symptoms:** Generation fails with "library not found" or "metallib" errors
+
+**Solutions:**
+1. **Rebuild server binary**
+   ```bash
+   just build-server
+   ```
+   The build script automatically includes MLX Metal shader libraries on Apple Silicon.
+
+2. **Check MLX installation**
+   ```bash
+   pip install -r backend/requirements-mlx.txt
+   ```
+
+3. **Verify backend detection**
+   - Check server logs for "Backend: MLX"
+   - If showing "Backend: PYTORCH", MLX may not be installed correctly
+
+### Audio playback issues
+
+**Symptoms:** Generated audio won't play
+
+**Solutions:**
+1. **Check audio format**
+   - Audio is saved as WAV files
+   - Ensure your system supports WAV playback
+
+2. **Try downloading audio**
+   - Right-click → Download
+   - Play in external player
+
+3. **Check browser permissions** (web version)
+   - Allow audio autoplay in browser settings
+
+### Slow generation
+
+**Symptoms:** Generation takes >30 seconds
+
+**Solutions:**
+1. **Check backend type** (Apple Silicon)
+   - Check Settings → Server Status
+   - Should show "Backend: MLX" on Apple Silicon
+   - If showing "Backend: PYTORCH", install MLX: `pip install -r backend/requirements-mlx.txt`
+   - MLX provides 4-5x faster inference on Apple Silicon
+
+2. **Use GPU** (if available)
+   - Check Settings → Server Status
+   - Should show "GPU available: true"
+   - Apple Silicon: Should show "Metal (Apple Silicon via MLX)"
+   - Windows/Linux: Should show "CUDA" if GPU available
+
+3. **Enable caching**
+   - Voice prompts are cached automatically
+   - Second generation with same voice should be faster
+
+4. **Use smaller model**
+   - 0.6B model is faster than 1.7B
+   - Quality difference is minimal for most voices
+
+5. **Check system resources**
+   - Close other CPU/GPU intensive apps
+   - Ensure adequate RAM (8GB+ recommended)
+
+## API Issues
+
+### "Connection refused" when using API
+
+**Solutions:**
+1. **Check server is running**
+   ```bash
+   curl http://localhost:17493/health
+   ```
+
+2. **Check remote mode**
+   - If connecting remotely, ensure server is started with `--host 0.0.0.0`
+   - Check firewall settings
+
+3. **Check port availability**
+   - The current local app and dev workflow uses port 17493 by default
+   - Ensure no other service is using it
+
+### CORS errors in browser
+
+**Solutions:**
+1. **Use desktop app** (recommended)
+   - Desktop app doesn't have CORS restrictions
+
+2. **Configure CORS** (for web deployment)
+   - Update `backend/main.py` CORS settings
+   - Add your domain to allowed origins
+
+## Update Issues
+
+### "Update check failed"
+
+**Solutions:**
+1. **Check internet connection**
+   - Updates are fetched from GitHub releases
+
+2. **Check GitHub access**
+   - Ensure `github.com` is accessible
+   - Check firewall/proxy settings
+
+3. **Manual update**
+   - Download latest release from GitHub
+   - Install manually
+
+### "Invalid signature" error
+
+**Solutions:**
+1. **Re-download installer**
+   - Signature may be corrupted
+   - Download fresh copy from GitHub
+
+2. **Check release integrity**
+   - Verify `.sig` file matches installer
+   - Report issue if signature is invalid
+
+## Data Issues
+
+### Profiles disappeared
+
+**Solutions:**
+1. **Check data directory**
+   - macOS: `~/Library/Application Support/sh.voicebox.app/`
+   - Windows: `%APPDATA%/sh.voicebox.app/`
+   - Linux: `~/.config/sh.voicebox.app/`
+
+2. **Check database**
+   - Database: `data/voicebox.db`
+   - Ensure file exists and is readable
+
+3. **Restore from backup**
+   - Profiles can be exported/imported
+   - Check for backup files
+
+### "Database locked" error
+
+**Solutions:**
+1. **Close other instances**
+   - Ensure only one Voicebox instance is running
+
+2. **Restart app**
+   - Close and reopen Voicebox
+
+3. **Check file permissions**
+   - Ensure database file is writable
+   - Check directory permissions
+
+## Development Issues
+
+### Build fails
+
+**Solutions:**
+1. **Check Rust installation**
+   ```bash
+   rustc --version
+   rustup update
+   ```
+
+2. **Check Tauri dependencies**
+   ```bash
+   cd tauri
+   bun install
+   ```
+
+3. **Clean build**
+   ```bash
+   cd tauri/src-tauri
+   cargo clean
+   cd ../..
+   just build
+   ```
+
+### API client generation fails
+
+**Solutions:**
+1. **Start backend server**
+   ```bash
+   just dev-backend
+   ```
+
+2. **Check OpenAPI endpoint**
+   ```bash
+   curl http://localhost:17493/openapi.json
+   ```
+
+3. **Regenerate client**
+   ```bash
+   just generate-api
+   ```
+
+## Still Having Issues?
+
+1. **Check existing issues**
+   - Search GitHub issues for similar problems
+   - Check closed issues for solutions
+
+2. **Create new issue**
+   - Include:
+     - OS and version
+     - Voicebox version
+     - Steps to reproduce
+     - Error messages/logs
+     - Screenshots (if applicable)
+
+3. **Get help**
+   - Check documentation in `docs/`
+   - Review `backend/README.md` for API details
+   - See `CONTRIBUTING.md` for development help
+
+---
+
+For more help, open an issue on [GitHub](https://github.com/jamiepine/voicebox/issues).

docs/content/docs/overview/troubleshooting.mdx

@@ -29,14 +29,6 @@ Windows SmartScreen may warn that the app is unrecognized.
   This is expected for unsigned applications. We're working on code signing for future releases.
 </Callout>
 
-### Linux: AppImage Won't Run
-
-**Solution:**
-```bash
-chmod +x voicebox-*.AppImage
-./voicebox-*.AppImage
-```
-
 ## Server Issues
 
 ### Backend Server Won't Start
@@ -93,52 +85,6 @@ chmod +x voicebox-*.AppImage
   </Accordion>
 </AccordionGroup>
 
-### `flash-attn is not installed` Warning in Server Logs
-
-**Symptoms:**
-```
-Warning: flash-attn is not installed. Will only run the manual PyTorch version.
-Please install flash-attn for faster inference.
-```
-
-**This is harmless.** The warning is emitted by our transformer-based engines (Chatterbox / Qwen) on every startup. FlashAttention is an optional acceleration library — when it's not present, PyTorch's built-in scaled-dot-product attention (SDPA) runs instead, which is near-FA2 throughput on modern GPUs. Generation works normally.
-
-**Why it shows up on every platform:**
-- **Windows:** `flash-attn` has no official Windows support. The upstream project (Dao-AILab/flash-attention) still only says it *might* work, and source builds typically fail on recent CUDA/MSVC combinations.
-- **macOS (Apple Silicon):** FlashAttention is CUDA-only and doesn't apply here at all. MLX has its own optimized attention kernels.
-- **Linux:** It's not pinned in our requirements because installing it is fragile and version-sensitive; users who want it install it themselves.
-
-**Solutions (all optional):**
-
-<AccordionGroup>
-  <Accordion title="Ignore it (recommended)">
-    PyTorch SDPA is what actually runs the model, and on Ampere/Ada/Hopper GPUs it's within a few percent of FA2 for our workloads. You won't notice a meaningful speed difference.
-  </Accordion>
-
-  <Accordion title="Install flash-attn on Linux">
-    ```bash
-    pip install flash-attn --no-build-isolation
-    ```
-
-    Requires a matching CUDA toolkit. Build can take 20+ minutes.
-  </Accordion>
-
-  <Accordion title="Install flash-attn on Windows (community wheels)">
-    Official builds don't exist, but community maintainers publish prebuilt wheels:
-
-    - [kingbri1/flash-attention releases](https://github.com/kingbri1/flash-attention/releases)
-    - [bdashore3/flash-attention releases](https://github.com/bdashore3/flash-attention/releases)
-
-    Pick the wheel matching your exact CUDA + PyTorch + Python combination. Example:
-
-    ```bash
-    pip install https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp312-cp312-win_amd64.whl
-    ```
-
-    Alternatively, run Voicebox's backend inside WSL2 and use the standard Linux wheels.
-  </Accordion>
-</AccordionGroup>
-
 ### Connection Timeout
 
 **Symptoms:**
@@ -228,34 +174,6 @@ This is expected behavior. The first generation downloads the selected TTS engin
   </Accordion>
 </AccordionGroup>
 
-### MLX "Failed to load the default metallib" (Apple Silicon)
-
-**Symptoms:**
-- Generation fails with "library not found" or "metallib" errors
-- Server logs reference missing Metal shader libraries
-
-**Solutions:**
-
-<AccordionGroup>
-  <Accordion title="Rebuild the Server Binary">
-    ```bash
-    just build-server
-    ```
-
-    The build script bundles MLX Metal shader libraries on Apple Silicon automatically.
-  </Accordion>
-
-  <Accordion title="Reinstall MLX Dependencies">
-    ```bash
-    pip install -r backend/requirements-mlx.txt
-    ```
-  </Accordion>
-
-  <Accordion title="Verify Backend Detection">
-    Check Settings → Server Status. Should show **Backend: MLX** on Apple Silicon. If it shows **Backend: PYTORCH**, MLX isn't installed correctly.
-  </Accordion>
-</AccordionGroup>
-
 ## Audio Issues
 
 ### No Audio Playback
@@ -439,26 +357,7 @@ Restart the app to create a fresh database.
 - Check your internet connection
 - Check HuggingFace Hub status
 - Try using a VPN if HuggingFace is blocked in your region
-- Manually download via the HuggingFace CLI and place in the cache directory:
-
-  ```bash
-  pip install huggingface_hub
-  huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
-  ```
-
-### Qwen 0.6B Downloads the Same Files as 1.7B on Apple Silicon
-
-**Symptoms:**
-- You select Qwen 0.6B on an Apple Silicon Mac and the download is the same size as 1.7B
-- Generation speed and VRAM usage match 1.7B, not the expected smaller model
-
-**Explanation:**
-This is intentional, not a bug. The MLX community only publishes `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` — there is no 0.6B MLX build. Voicebox's model registry falls back to the 1.7B weights when 0.6B is selected on MLX (see `backend/backends/__init__.py`).
-
-**Solution:**
-- On Apple Silicon, both size options use the 1.7B model — pick either.
-- If you specifically need a smaller model, switch to **Kokoro 82M** (~350 MB) or **LuxTTS** (~300 MB) — both CPU-realtime.
-- On Windows/Linux with PyTorch, 0.6B and 1.7B are distinct repos and behave differently.
+- Manually download and place in cache directory
 
 ### Wrong Model Version
 
@@ -505,16 +404,6 @@ rmdir /s %USERPROFILE%\.cache\huggingface\hub\models--Qwen*
   <Accordion title="Update GPU Drivers">
     Outdated drivers can cause performance issues. Update to the latest NVIDIA drivers.
   </Accordion>
-
-  <Accordion title="Apple Silicon: Confirm MLX Backend">
-    Check Settings → Server Status. Should show **Backend: MLX** on Apple Silicon — MLX is 4–5× faster than PyTorch here. If it shows **Backend: PYTORCH**, reinstall MLX:
-
-    ```bash
-    pip install -r backend/requirements-mlx.txt
-    ```
-
-    GPU availability should read "Metal (Apple Silicon via MLX)".
-  </Accordion>
 </AccordionGroup>
 
 ### High Memory Usage
@@ -528,21 +417,6 @@ rmdir /s %USERPROFILE%\.cache\huggingface\hub\models--Qwen*
 - Clear generation history
 - Restart the app periodically
 
-## Update Issues
-
-### "Update Check Failed"
-
-**Solutions:**
-- Confirm your internet connection — updates are fetched from GitHub releases.
-- Ensure `github.com` is accessible and not blocked by a firewall or proxy.
-- As a fallback, download the latest release from GitHub and install manually.
-
-### "Invalid Signature" Error
-
-**Solutions:**
-- Re-download the installer — the signature may have been corrupted in transit.
-- Verify the `.sig` file matches the installer; if it doesn't, file an issue.
-
 ## Remote Mode Issues
 
 ### Can't Connect to Remote Server
@@ -608,3 +482,5 @@ python --version
 # GPU info (if generation issues)
 nvidia-smi  # NVIDIA GPUs
 ```
+
+For more detailed troubleshooting, see the [TROUBLESHOOTING.md](https://github.com/jamiepine/voicebox/blob/main/docs/TROUBLESHOOTING.md) file in the repository.

landing/package.json

@@ -1,16 +1,15 @@
 {
   "name": "@voicebox/landing",
-  "version": "0.4.1",
+  "version": "0.4.2",
   "description": "Landing page for voicebox.sh",
   "scripts": {
-    "dev": "next dev --turbo",
+    "dev": "bun --bun 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",

landing/src/app/download/[platform]/route.ts

@@ -1,46 +1,42 @@
 import { type NextRequest, NextResponse } from 'next/server';
+import { getLatestRelease } from '@/lib/releases';
 
 export const dynamic = 'force-dynamic';
 
-// Pretty URLs from README / docs (e.g. /download/mac-arm) are kept for
-// compatibility, but we now always route through the /download page so users
-// see context + a donate prompt + resources while the download kicks off.
-// The page handles the actual file trigger itself — no more silent redirects
-// to GitHub or direct asset URLs.
-const PLATFORM_ALIAS: Record<string, string> = {
+const PLATFORM_MAP: Record<
+  string,
+  keyof Awaited<ReturnType<typeof getLatestRelease>>['downloadLinks']
+> = {
   'mac-arm': 'macArm',
-  macArm: 'macArm',
   'mac-intel': 'macIntel',
-  macIntel: 'macIntel',
   windows: 'windows',
+  linux: 'linux',
 };
 
-function getPublicOrigin(request: NextRequest): string {
-  const forwardedHost = request.headers.get('x-forwarded-host');
-  const forwardedProto = request.headers.get('x-forwarded-proto');
-
-  if (forwardedHost && forwardedProto) {
-    // Behind reverse proxies/CDNs, request.url can be an internal origin
-    // (for example localhost:8080). Prefer forwarded headers so redirects
-    // keep users on the public domain.
-    return `${forwardedProto}://${forwardedHost}`;
-  }
-
-  return new URL(request.url).origin;
-}
-
 export async function GET(
-  request: NextRequest,
+  _request: NextRequest,
   { params }: { params: Promise<{ platform: string }> },
 ) {
-  const origin = getPublicOrigin(request);
   const { platform } = await params;
-  // No prebuilt Linux binary yet — send straight to the build-from-source page.
-  if (platform === 'linux') {
-    return NextResponse.redirect(new URL('/linux-install', origin), 307);
+  const key = PLATFORM_MAP[platform];
+
+  if (!key) {
+    return NextResponse.json(
+      { error: `Unknown platform: ${platform}. Use: ${Object.keys(PLATFORM_MAP).join(', ')}` },
+      { status: 404 },
+    );
+  }
+
+  try {
+    const release = await getLatestRelease();
+    const url = release.downloadLinks[key];
+
+    if (!url) {
+      return NextResponse.json({ error: `No download available for ${platform}` }, { status: 404 });
+    }
+
+    return NextResponse.redirect(url);
+  } catch {
+    return NextResponse.redirect(`https://github.com/jamiepine/voicebox/releases/latest`);
   }
-  const normalized = PLATFORM_ALIAS[platform];
-  const target = new URL('/download', origin);
-  if (normalized) target.searchParams.set('platform', normalized);
-  return NextResponse.redirect(target, 307);
 }

landing/src/app/download/page.tsx

@@ -1,313 +0,0 @@
-'use client';
-
-import {
-  ArrowLeft,
-  Bot,
-  Coffee,
-  Download as DownloadIcon,
-  FileText,
-  Github,
-} from 'lucide-react';
-import Image from 'next/image';
-import Link from 'next/link';
-import { useEffect, useMemo, useState } from 'react';
-import { AppleIcon, LinuxIcon, WindowsIcon } from '@/components/PlatformIcons';
-import { Button } from '@/components/ui/button';
-import { DONATE_URL, GITHUB_RELEASES_PAGE, GITHUB_REPO } from '@/lib/constants';
-import type { DownloadLinks } from '@/lib/releases';
-
-type Platform = keyof DownloadLinks;
-
-type PlatformMeta = {
-  key: Platform;
-  label: string;
-  description: string;
-  icon: React.ComponentType<{ className?: string }>;
-};
-
-const PLATFORMS: PlatformMeta[] = [
-  { key: 'macArm', label: 'macOS', description: 'Apple Silicon', icon: AppleIcon },
-  { key: 'macIntel', label: 'macOS', description: 'Intel (x64)', icon: AppleIcon },
-  { key: 'windows', label: 'Windows', description: '64-bit (MSI)', icon: WindowsIcon },
-  { key: 'linux', label: 'Linux', description: 'Build from source', icon: LinuxIcon },
-];
-
-function detectPlatform(): Platform | null {
-  if (typeof navigator === 'undefined') return null;
-  const ua = navigator.userAgent;
-  if (/Windows/i.test(ua)) return 'windows';
-  if (/Linux/i.test(ua) && !/Android/i.test(ua)) return 'linux';
-  if (/Mac/i.test(ua)) {
-    // Apple Silicon Safari reports "Intel" for compat; default to ARM since
-    // M-series is the majority. Users can click the Intel button if needed.
-    return 'macArm';
-  }
-  return null;
-}
-
-function parseQueryPlatform(search: string): Platform | null {
-  const params = new URLSearchParams(search);
-  const raw = params.get('platform');
-  if (!raw) return null;
-  // Accept both camelCase and hyphenated forms (/download/mac-arm → ?platform=mac-arm).
-  const normalized = raw
-    .toLowerCase()
-    .replace(/[-_\s]/g, '')
-    .replace('macarm', 'macArm')
-    .replace('macintel', 'macIntel');
-  const valid: Platform[] = ['macArm', 'macIntel', 'windows', 'linux'];
-  return (valid as string[]).includes(normalized) ? (normalized as Platform) : null;
-}
-
-export default function DownloadPage() {
-  const [links, setLinks] = useState<DownloadLinks | null>(null);
-  const [linksError, setLinksError] = useState(false);
-  const [platform, setPlatform] = useState<Platform | null>(null);
-  const [triggered, setTriggered] = useState(false);
-
-  useEffect(() => {
-    const fromQuery = parseQueryPlatform(window.location.search);
-    const resolved = fromQuery ?? detectPlatform();
-    // No prebuilt Linux binary yet — send Linux users to the build-from-source
-    // instructions instead of sitting on /download trying to trigger a
-    // download that doesn't exist.
-    if (resolved === 'linux') {
-      window.location.replace('/linux-install');
-      return;
-    }
-    setPlatform(resolved);
-  }, []);
-
-  useEffect(() => {
-    let cancelled = false;
-    fetch('/api/releases')
-      .then((r) => {
-        if (!r.ok) throw new Error(`releases ${r.status}`);
-        return r.json();
-      })
-      .then((data) => {
-        if (cancelled) return;
-        if (data.downloadLinks) setLinks(data.downloadLinks as DownloadLinks);
-      })
-      .catch(() => {
-        if (!cancelled) setLinksError(true);
-      });
-    return () => {
-      cancelled = true;
-    };
-  }, []);
-
-  useEffect(() => {
-    if (triggered || !links || !platform) return;
-    const url = links[platform];
-    if (!url) return;
-
-    const a = document.createElement('a');
-    a.href = url;
-    a.rel = 'noopener';
-    a.style.display = 'none';
-    document.body.appendChild(a);
-    a.click();
-    document.body.removeChild(a);
-    setTriggered(true);
-  }, [triggered, links, platform]);
-
-  const activeMeta = useMemo(
-    () => PLATFORMS.find((p) => p.key === platform) ?? null,
-    [platform],
-  );
-
-  return (
-    <div className="min-h-screen bg-background">
-      {/* Minimal branded header */}
-      <header className="border-b border-border/50">
-        <div className="mx-auto flex max-w-5xl items-center justify-between px-6 py-4">
-          <Link href="/" className="flex items-center gap-2.5">
-            <Image
-              src="/voicebox-logo-app.webp"
-              alt="Voicebox"
-              width={28}
-              height={28}
-              className="h-7 w-7"
-            />
-            <span className="text-[15px] font-semibold text-foreground">Voicebox</span>
-          </Link>
-          <Link
-            href="/"
-            className="flex items-center gap-1.5 text-sm text-muted-foreground hover:text-foreground transition-colors"
-          >
-            <ArrowLeft className="h-3.5 w-3.5" />
-            Back to voicebox.sh
-          </Link>
-        </div>
-      </header>
-
-      <main className="mx-auto max-w-5xl px-6 py-16 md:py-24">
-        {/* Hero */}
-        <div className="flex flex-col md:flex-row md:items-center gap-10 md:gap-14">
-          <Image
-            src="/voicebox-logo-app.webp"
-            alt="Voicebox"
-            width={200}
-            height={200}
-            priority
-            className="h-32 w-32 md:h-44 md:w-44 shrink-0 drop-shadow-2xl"
-          />
-          <div className="flex-1 min-w-0 text-center md:text-left">
-            {triggered ? (
-              <>
-                <h1 className="text-4xl md:text-5xl font-semibold tracking-tight text-foreground mb-4">
-                  Your download has started.
-                </h1>
-                <p className="text-lg text-muted-foreground">
-                  {activeMeta
-                    ? `Downloading Voicebox for ${activeMeta.label} (${activeMeta.description}). Check your downloads folder.`
-                    : 'Check your downloads folder for Voicebox.'}
-                </p>
-              </>
-            ) : (
-              <>
-                <h1 className="text-4xl md:text-5xl font-semibold tracking-tight text-foreground mb-4">
-                  {linksError ? "We couldn't load the latest release." : 'Download Voicebox'}
-                </h1>
-                <p className="text-lg text-muted-foreground">
-                  {linksError
-                    ? 'Our release server is temporarily unreachable. Please try again in a moment.'
-                    : 'Pick your platform to get started.'}
-                </p>
-              </>
-            )}
-          </div>
-        </div>
-
-        {/* Platform buttons — always visible as a fallback */}
-        {linksError ? (
-          <div className="mt-12 rounded-xl border border-border bg-card/60 backdrop-blur-sm p-6 text-center">
-            <p className="text-sm text-muted-foreground mb-4">
-              If this keeps happening, you can{' '}
-              <a
-                href={`${GITHUB_RELEASES_PAGE}/latest`}
-                target="_blank"
-                rel="noopener noreferrer"
-                className="text-accent underline underline-offset-2 hover:text-accent/80"
-              >
-                browse releases on GitHub
-              </a>
-              {' '}and grab the build for your platform manually.
-            </p>
-          </div>
-        ) : (
-          <div className="mt-12 rounded-xl border border-border bg-card/60 backdrop-blur-sm p-6">
-            <h2 className="text-sm font-medium text-foreground mb-4">
-              {triggered ? 'Download not working?' : 'Choose your platform'}
-            </h2>
-            <div className="grid grid-cols-1 sm:grid-cols-2 gap-3">
-              {PLATFORMS.map((meta) => {
-                const isLinux = meta.key === 'linux';
-                const url = isLinux ? '/linux-install' : links?.[meta.key];
-                const isActive = meta.key === platform;
-                const disabled = !isLinux && !url;
-                return (
-                  <a
-                    key={meta.key}
-                    href={url ?? '#'}
-                    {...(isLinux ? {} : { download: true })}
-                    aria-disabled={disabled}
-                    onClick={(e) => {
-                      if (disabled) e.preventDefault();
-                    }}
-                    className={`flex items-center rounded-xl border px-5 py-4 transition-all group ${
-                      isActive
-                        ? 'border-accent/40 bg-accent/5 hover:border-accent/60'
-                        : 'border-border bg-card/40 hover:border-accent/30 hover:bg-card'
-                    } ${disabled ? 'opacity-50 cursor-not-allowed' : ''}`}
-                  >
-                    <meta.icon className="h-6 w-6 shrink-0 text-muted-foreground group-hover:text-foreground transition-colors" />
-                    <div className="ml-4 flex-1">
-                      <div className="text-sm font-medium text-foreground">{meta.label}</div>
-                      <div className="text-xs text-muted-foreground">{meta.description}</div>
-                    </div>
-                    <DownloadIcon className="h-4 w-4 text-muted-foreground/60 group-hover:text-accent transition-colors" />
-                  </a>
-                );
-              })}
-            </div>
-          </div>
-        )}
-
-        {/* Donate — prominent, heartfelt, post-click context */}
-        <div className="mt-16 rounded-2xl border border-border bg-gradient-to-br from-card via-card/80 to-background backdrop-blur-sm p-8 md:p-10 overflow-hidden relative">
-          <div className="absolute top-0 right-0 w-64 h-64 bg-[#FFDD00]/5 rounded-full blur-3xl -translate-y-1/2 translate-x-1/2 pointer-events-none" />
-          <div className="relative">
-            <div className="inline-flex items-center gap-2 rounded-full border border-[#FFDD00]/30 bg-[#FFDD00]/10 px-3 py-1 mb-4">
-              <Coffee className="h-3 w-3 text-[#FFDD00]" />
-              <span className="text-[11px] font-medium uppercase tracking-wider text-[#FFDD00]">
-                Hi from the maintainer
-              </span>
-            </div>
-            <h2 className="text-2xl md:text-3xl font-semibold tracking-tight text-foreground mb-4">
-              Jamie here — Voicebox is a side project.
-            </h2>
-            <p className="text-muted-foreground leading-relaxed mb-6 max-w-2xl">
-              I build and maintain Voicebox in my spare time. It's completely
-              free, open source, runs entirely on your machine — no accounts, no
-              cloud, no subscriptions, no upsells. If it saves you an ElevenLabs
-              bill or just made your day, a coffee genuinely helps me keep
-              shipping updates, adding new models, and fixing bugs. Every little
-              bit keeps the lights on.
-            </p>
-            <Button asChild size="lg" className="bg-[#FFDD00]/10 border-[#FFDD00]/30 text-[#FFDD00] hover:bg-[#FFDD00]/20 hover:border-[#FFDD00]/50">
-              <a href={DONATE_URL} target="_blank" rel="noopener noreferrer">
-                <Coffee className="h-4 w-4 mr-2" />
-                Buy me a coffee
-              </a>
-            </Button>
-          </div>
-        </div>
-
-        {/* Resources */}
-        <div className="mt-10">
-          <h2 className="text-sm font-medium text-foreground mb-4">While you wait</h2>
-          <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
-            <a
-              href="https://docs.voicebox.sh"
-              target="_blank"
-              rel="noopener noreferrer"
-              className="rounded-xl border border-border bg-card/60 backdrop-blur-sm p-5 hover:border-accent/30 hover:bg-card transition-all group"
-            >
-              <FileText className="h-5 w-5 text-accent mb-3" />
-              <h3 className="text-sm font-medium text-foreground mb-1">Read the docs</h3>
-              <p className="text-xs text-muted-foreground leading-relaxed">
-                Get familiar with Voicebox — setup, voice cloning, the REST API.
-              </p>
-            </a>
-            <a
-              href="https://deepwiki.com/jamiepine/voicebox"
-              target="_blank"
-              rel="noopener noreferrer"
-              className="rounded-xl border border-border bg-card/60 backdrop-blur-sm p-5 hover:border-accent/30 hover:bg-card transition-all group"
-            >
-              <Bot className="h-5 w-5 text-accent mb-3" />
-              <h3 className="text-sm font-medium text-foreground mb-1">Got questions? Ask AI.</h3>
-              <p className="text-xs text-muted-foreground leading-relaxed">
-                DeepWiki is an AI that knows Voicebox inside-out. Ask anything.
-              </p>
-            </a>
-            <a
-              href={GITHUB_REPO}
-              target="_blank"
-              rel="noopener noreferrer"
-              className="rounded-xl border border-border bg-card/60 backdrop-blur-sm p-5 hover:border-accent/30 hover:bg-card transition-all group"
-            >
-              <Github className="h-5 w-5 text-accent mb-3" />
-              <h3 className="text-sm font-medium text-foreground mb-1">Source on GitHub</h3>
-              <p className="text-xs text-muted-foreground leading-relaxed">
-                Star the repo, file issues, or contribute a PR.
-              </p>
-            </a>
-          </div>
-        </div>
-      </main>
-    </div>
-  );
-}

landing/src/app/page.tsx

@@ -17,9 +17,12 @@ import {Navbar} from "@/components/Navbar";
 import {AppleIcon, LinuxIcon, WindowsIcon} from "@/components/PlatformIcons";
 import {TutorialsSection} from "@/components/TutorialsSection";
 import {VoiceCreator} from "@/components/VoiceCreator";
-import {GITHUB_REPO} from "@/lib/constants";
+import {DOWNLOAD_LINKS, GITHUB_REPO} from "@/lib/constants";
+import type {DownloadLinks} from "@/lib/releases";
 
 export default function Home() {
+	const [downloadLinks, setDownloadLinks] =
+		useState<DownloadLinks>(DOWNLOAD_LINKS);
 	const [version, setVersion] = useState<string | null>(null);
 	const [totalDownloads, setTotalDownloads] = useState<number | null>(null);
 
@@ -30,6 +33,7 @@ export default function Home() {
 				return res.json();
 			})
 			.then((data) => {
+				if (data.downloadLinks) setDownloadLinks(data.downloadLinks);
 				if (data.version) setVersion(data.version);
 				if (data.totalDownloads != null) setTotalDownloads(data.totalDownloads);
 			})
@@ -88,7 +92,7 @@ export default function Home() {
 						style={{animationDelay: "300ms"}}
 					>
 						<a
-							href="/download"
+							href="#download"
 							className="rounded-full bg-accent px-8 py-3.5 text-sm font-semibold uppercase tracking-wider text-white shadow-[0_4px_20px_hsl(43_60%_50%/0.3),inset_0_2px_0_rgba(255,255,255,0.2),inset_0_-2px_0_rgba(0,0,0,0.1)] transition-all hover:bg-accent-faint active:shadow-[0_2px_10px_hsl(43_60%_50%/0.3),inset_0_4px_8px_rgba(0,0,0,0.3)]"
 						>
 							Download
@@ -399,7 +403,8 @@ export default function Home() {
 					<div className="grid grid-cols-1 sm:grid-cols-2 gap-3 max-w-2xl mx-auto">
 						{/* macOS ARM */}
 						<a
-							href="/download?platform=macArm"
+							href={downloadLinks.macArm}
+							download
 							className="flex items-center rounded-xl border border-border bg-card/60 backdrop-blur-sm px-5 py-4 transition-all hover:border-accent/30 hover:bg-card group"
 						>
 							<AppleIcon className="h-6 w-6 shrink-0 text-muted-foreground group-hover:text-foreground transition-colors" />
@@ -413,7 +418,8 @@ export default function Home() {
 
 						{/* macOS Intel */}
 						<a
-							href="/download?platform=macIntel"
+							href={downloadLinks.macIntel}
+							download
 							className="flex items-center rounded-xl border border-border bg-card/60 backdrop-blur-sm px-5 py-4 transition-all hover:border-accent/30 hover:bg-card group"
 						>
 							<AppleIcon className="h-6 w-6 shrink-0 text-muted-foreground group-hover:text-foreground transition-colors" />
@@ -425,7 +431,8 @@ export default function Home() {
 
 						{/* Windows */}
 						<a
-							href="/download?platform=windows"
+							href={downloadLinks.windows}
+							download
 							className="flex items-center rounded-xl border border-border bg-card/60 backdrop-blur-sm px-5 py-4 transition-all hover:border-accent/30 hover:bg-card group"
 						>
 							<WindowsIcon className="h-6 w-6 shrink-0 text-muted-foreground group-hover:text-foreground transition-colors" />

landing/src/components/ApiSection.tsx

@@ -29,8 +29,8 @@ const CURL_SNIPPET = `curl -X POST http://127.0.0.1:17493/generate \\
   -H "Content-Type: application/json" \\
   -d '{
     "text": "Welcome to the game, player one.",
-    "profile_id": "b3f1c2d4-5e6f-4a7b-8c9d-0e1f2a3b4c5d",
-    "engine": "qwen_custom_voice",
+    "profile_id": "morgan-freeman",
+    "engine": "qwen",
     "instruct": "warm, slow, cinematic"
   }' \\
   --output line.wav`;

landing/src/components/Footer.tsx

@@ -45,7 +45,7 @@ export function Footer() {
                 </a>
               </li>
               <li>
-                <a href="/download" className="hover:text-foreground transition-colors">
+                <a href="#download" className="hover:text-foreground transition-colors">
                   Download
                 </a>
               </li>

landing/src/components/Navbar.tsx

@@ -66,7 +66,7 @@ export function Navbar() {
             API
           </a>
           <a
-            href="/download"
+            href="#download"
             className="rounded-md px-3 py-1.5 text-sm font-medium text-muted-foreground transition-colors hover:text-foreground"
           >
             Download

landing/src/components/PlatformIcons.tsx

@@ -1,29 +1,23 @@
-import { SiApple, SiLinux } from '@icons-pack/react-simple-icons';
-
-// Official brand icons via Simple Icons (apple/linux). Simple Icons drops
-// Microsoft's mark due to trademark policy, so the Windows 11 flag is
-// inlined from Microsoft's public brand guidance.
-
 export function AppleIcon({ className }: { className?: string }) {
-  return <SiApple className={className} color="currentColor" />;
-}
-
-export function LinuxIcon({ className }: { className?: string }) {
-  return <SiLinux className={className} color="currentColor" />;
+  return (
+    <svg className={className} viewBox="0 0 24 24" fill="currentColor">
+      <path d="M17.05 20.28c-.98.95-2.05.88-3.08.4-1.09-.5-2.08-.48-3.24 0-1.44.62-2.2.44-3.06-.4C2.79 15.25 3.51 7.59 9.05 7.31c1.35.07 2.29.74 3.08.8 1.18-.24 2.31-.93 3.57-.84 1.51.12 2.65.72 3.4 1.8-3.12 1.87-2.38 5.98.48 7.13-.57 1.5-1.31 2.99-2.54 4.09l.01-.01zM12.03 7.25c-.15-2.23 1.66-4.07 3.74-4.25.29 2.58-2.34 4.5-3.74 4.25z" />
+    </svg>
+  );
 }
 
 export function WindowsIcon({ className }: { className?: string }) {
   return (
-    <svg
-      className={className}
-      viewBox="0 0 24 24"
-      fill="currentColor"
-      xmlns="http://www.w3.org/2000/svg"
-      role="img"
-      aria-label="Windows"
-    >
-      <title>Windows</title>
-      <path d="M0 3.449L9.75 2.1v9.451H0m10.949-9.602L24 0v11.4l-13.051.149M0 12.6h9.75v9.451L0 20.699M10.949 12.6H24V24l-12.9-1.801" />
+    <svg className={className} viewBox="0 0 24 24" fill="currentColor">
+      <path d="M3 12V6.75l6-1.32v6.48L3 12zm17-9v8.75l-10 .15V5.21L20 3zM3 13l6 .09v7.81l-6-1.15V13zm17 .25V22l-10-1.8v-7.15l10 .15z" />
+    </svg>
+  );
+}
+
+export function LinuxIcon({ className }: { className?: string }) {
+  return (
+    <svg className={className} viewBox="0 0 24 24" fill="currentColor">
+      <path d="M12.504 0c-.155 0-.315.008-.48.021-4.226.333-3.105 4.807-3.17 6.298-.076 1.092-.3 1.953-1.05 3.02-.885 1.051-2.127 2.75-2.716 4.521-.278.832-.41 1.684-.287 2.489a.424.424 0 00-.11.135c-.26.26-.195.69-.133 1.001.054.27.112.553.077.784-.12.794-.3 1.593-.3 2.406 0 .599.18 1.193.3 1.791.12.599.3 1.193.3 1.792 0 .812.18 1.611.3 2.405.035.23-.023.514-.077.783-.062.312-.127.742.133 1.002a.424.424 0 00.11.135c-.123.805.01 1.657.287 2.489.589 1.771 1.831 3.47 2.716 4.521.75 1.067 0.974 1.928 1.05 3.02.065 1.491-1.056 5.965 3.17 6.298.165.013.325.021.48.021.155 0 .315-.008.48-.021 4.226-.333 3.105-4.807 3.17-6.298.076-1.092.3-1.953 1.05-3.02.885-1.051 2.127-2.75 2.716-4.521.278-.832.41-1.684.287-2.489a.424.424 0 00.11-.135c.26-.26.195-.69.133-1.001-.054-.27-.112-.553-.077-.784.12-.794.3-1.593.3-2.406 0-.599-.18-1.193-.3-1.791-.12-.599-.3-1.193-.3-1.792 0-.812-.18-1.611-.3-2.405-.035-.23.023-.514.077-.783.062-.312.127-.742-.133-1.002a.424.424 0 00-.11-.135c.123-.805-.01-1.657-.287-2.489-.589-1.771-1.831-3.47-2.716-4.521-.75-1.067-.974-1.928-1.05-3.02-.065-1.491 1.056-5.965-3.17-6.298C12.819.008 12.659 0 12.504 0z" />
     </svg>
   );
 }

package.json

@@ -1,6 +1,6 @@
 {
   "name": "voicebox",
-  "version": "0.4.1",
+  "version": "0.4.2",
   "private": true,
   "workspaces": [
     "app",

tauri/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@voicebox/tauri",
   "private": true,
-  "version": "0.4.1",
+  "version": "0.4.2",
   "type": "module",
   "scripts": {
     "dev": "vite",

tauri/src-tauri/Cargo.lock

@@ -5041,7 +5041,7 @@ checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"
 
 [[package]]
 name = "voicebox"
-version = "0.4.1"
+version = "0.4.2"
 dependencies = [
  "base64 0.22.1",
  "core-foundation-sys",

tauri/src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "voicebox"
-version = "0.4.1"
+version = "0.4.2"
 description = "A production-quality desktop app for Qwen3-TTS voice cloning and generation"
 authors = ["you"]
 license = ""

tauri/src-tauri/tauri.conf.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://schema.tauri.app/config/2",
   "productName": "Voicebox",
-  "version": "0.4.1",
+  "version": "0.4.2",
   "identifier": "sh.voicebox.app",
   "build": {
     "beforeDevCommand": "bun run dev",

web/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@voicebox/web",
   "private": true,
-  "version": "0.4.1",
+  "version": "0.4.2",
   "type": "module",
   "scripts": {
     "dev": "vite",