- {/* Left column: Profile info */}
-
- (
-
- Name
-
-
-
-
-
- )}
- />
-
- (
-
- Description (Optional)
-
-
-
-
-
- )}
- />
-
- (
-
- Language
-
-
-
- )}
- />
-
-
- {/* Right column: Sample management */}
-
);
diff --git a/backend/main.py b/backend/main.py
index c9d6ccba..c7d7c5ff 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -122,9 +122,9 @@ async def health():
model_downloaded = True
break
except (ImportError, Exception):
- # Method 2: Check cache directory (using HuggingFace's OS-specific cache location)
- cache_dir = hf_constants.HF_HUB_CACHE
- repo_cache = Path(cache_dir) / ("models--" + default_model_id.replace("/", "--"))
+ # Method 2: Check cache directory (using HuggingFace's OS-specific cache location)
+ cache_dir = hf_constants.HF_HUB_CACHE
+ repo_cache = Path(cache_dir) / ("models--" + default_model_id.replace("/", "--"))
if repo_cache.exists():
has_model_files = (
any(repo_cache.rglob("*.bin")) or
diff --git a/bun.lock b/bun.lock
index 7b7a328b..bd8425fe 100644
--- a/bun.lock
+++ b/bun.lock
@@ -13,7 +13,7 @@
},
"app": {
"name": "@voicebox/app",
- "version": "0.1.5",
+ "version": "0.1.9",
"dependencies": {
"@dnd-kit/core": "^6.3.1",
"@dnd-kit/sortable": "^10.0.0",
@@ -50,6 +50,7 @@
"react": "^18.3.0",
"react-dom": "^18.3.0",
"react-hook-form": "^7.53.0",
+ "react-sound-visualizer": "^1.4.0",
"tailwind-merge": "^2.5.4",
"wavesurfer.js": "^7.0.0",
"zod": "^3.23.8",
@@ -67,7 +68,7 @@
},
"landing": {
"name": "@voicebox/landing",
- "version": "0.1.5",
+ "version": "0.1.9",
"dependencies": {
"@radix-ui/react-separator": "^1.1.8",
"@radix-ui/react-slot": "^1.2.4",
@@ -92,7 +93,7 @@
},
"tauri": {
"name": "@voicebox/tauri",
- "version": "0.1.5",
+ "version": "0.1.9",
"dependencies": {
"@tauri-apps/api": "^2.0.0",
"@tauri-apps/plugin-shell": "^2.0.0",
@@ -111,7 +112,7 @@
},
"web": {
"name": "@voicebox/web",
- "version": "0.1.5",
+ "version": "0.1.9",
"dependencies": {
"@tanstack/react-query": "^5.0.0",
"react": "^18.3.0",
@@ -970,6 +971,8 @@
"react-remove-scroll-bar": ["react-remove-scroll-bar@2.3.8", "", { "dependencies": { "react-style-singleton": "^2.2.2", "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" }, "optionalPeers": ["@types/react"] }, "sha512-9r+yi9+mgU33AKcj6IbT9oRCO78WriSj6t/cF8DWBZJ9aOGPOTEDvdUDz1FwKim7QXWwmHqtdHnRJfhAxEG46Q=="],
+ "react-sound-visualizer": ["react-sound-visualizer@1.4.0", "", { "dependencies": { "sound-visualizer": "^1.2.0" }, "peerDependencies": { "react": ">= 16" } }, "sha512-Qe7tFTd1owtQ8nYrUYXg7QLt8mw7iUy86mqj/+IwmXzSw+NlhnMnAGPuisb1Lk3ncliFnM+AQbZb3C4RQN9uMQ=="],
+
"react-style-singleton": ["react-style-singleton@2.2.3", "", { "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=="],
"read-cache": ["read-cache@1.0.0", "", { "dependencies": { "pify": "^2.3.0" } }, "sha512-Owdv/Ft7IjOgm/i0xvNDZ1LrRANRfew4b2prF3OWMQLxLfu3bS8FVhCsrSCMK4lR56Y9ya+AThoTpDCTxCmpRA=="],
@@ -1004,6 +1007,8 @@
"slash": ["slash@3.0.0", "", {}, "sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q=="],
+ "sound-visualizer": ["sound-visualizer@1.4.0", "", {}, "sha512-2+Un0PrrBgXylnCjrVYUoRW7KEDH29h7O8/MGzeDOgFGBPb9oX/2n/RGBxJXvVv2U3KFwX5olUWeJKf0Rr5TLQ=="],
+
"source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
"strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
diff --git a/docs/.gitignore b/docs/.gitignore
new file mode 100644
index 00000000..70eeb4ba
--- /dev/null
+++ b/docs/.gitignore
@@ -0,0 +1,3 @@
+node_modules
+.mintlify
+.DS_Store
diff --git a/docs/README.md b/docs/README.md
new file mode 100644
index 00000000..ee3b91c6
--- /dev/null
+++ b/docs/README.md
@@ -0,0 +1,64 @@
+# Voicebox Documentation
+
+This directory contains the documentation for Voicebox, built with [Mintlify](https://mintlify.com).
+
+## Development
+
+### Prerequisites
+
+Install Mintlify globally using bun:
+
+```bash
+bun add -g mintlify
+```
+
+Or use the helper script:
+
+```bash
+bun run install:mintlify
+```
+
+### Running Locally
+
+```bash
+bun run dev
+```
+
+This will start the Mintlify dev server.
+
+The docs will be available at `http://localhost:3000`
+
+### Structure
+
+```
+docs/
+├── mint.json # Mintlify configuration
+├── custom.css # Custom styles
+├── overview/ # Getting started & feature docs
+├── guides/ # User guides
+├── api/ # API reference
+├── development/ # Developer documentation
+├── logo/ # Logo assets
+└── public/ # Static assets
+```
+
+### Writing Docs
+
+- Use `.mdx` files for all documentation pages
+- Follow the existing structure in `mint.json` for navigation
+- Use Mintlify components for enhanced formatting (Card, CardGroup, Accordion, etc.)
+- Reference the [Mintlify documentation](https://mintlify.com/docs) for available components
+
+## Deployment
+
+Docs are automatically deployed when changes are pushed to the main branch.
+
+To manually deploy:
+
+```bash
+mintlify deploy
+```
+
+## Contributing
+
+See [CONTRIBUTING.md](../CONTRIBUTING.md) for contribution guidelines.
diff --git a/docs/api/authentication.mdx b/docs/api/authentication.mdx
new file mode 100644
index 00000000..e4e72808
--- /dev/null
+++ b/docs/api/authentication.mdx
@@ -0,0 +1,55 @@
+---
+title: "Authentication"
+description: "API authentication and security"
+---
+
+## Current Status
+
+
+ Authentication is not currently implemented in Voicebox. The API is intended for local use only.
+
+
+## Local Usage
+
+For local development and usage:
+- API runs on `localhost:17493`
+- No authentication required
+- Access restricted to local machine
+
+## Future Implementation
+
+Authentication will be added in a future release for:
+- Remote deployments
+- Multi-user access
+- Production environments
+
+Planned authentication methods:
+- API keys
+- OAuth 2.0
+- JWT tokens
+
+## Security Best Practices
+
+Until authentication is implemented:
+
+
+
+ Use WireGuard or Tailscale for remote access
+
+
+ Run behind nginx with basic auth
+
+
+ Restrict access to trusted IPs only
+
+
+ Don't expose to public internet
+
+
+
+## Coming Soon
+
+- API key management
+- User accounts
+- Rate limiting
+- Access control
diff --git a/docs/api/generation.mdx b/docs/api/generation.mdx
new file mode 100644
index 00000000..c9fff59c
--- /dev/null
+++ b/docs/api/generation.mdx
@@ -0,0 +1,119 @@
+---
+title: "Generation API"
+description: "Generate speech from text"
+---
+
+## Generate Speech
+
+```http
+POST /generate
+```
+
+**Request:**
+```json
+{
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "language": "en"
+}
+```
+
+**Response:**
+```json
+{
+ "id": "gen123",
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "language": "en",
+ "audio_url": "/audio/gen123.wav",
+ "duration": 2.3,
+ "created_at": "2024-01-29T12:00:00Z"
+}
+```
+
+## List History
+
+```http
+GET /history
+```
+
+**Query Parameters:**
+- `profile_id` (optional) - Filter by voice profile
+- `limit` (optional) - Number of results (default: 50)
+- `offset` (optional) - Pagination offset
+
+**Response:**
+```json
+{
+ "generations": [
+ {
+ "id": "gen123",
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "duration": 2.3,
+ "created_at": "2024-01-29T12:00:00Z"
+ }
+ ],
+ "total": 100
+}
+```
+
+## Get Generation
+
+```http
+GET /history/{id}
+```
+
+**Response:**
+```json
+{
+ "id": "gen123",
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "language": "en",
+ "audio_url": "/audio/gen123.wav",
+ "duration": 2.3,
+ "created_at": "2024-01-29T12:00:00Z"
+}
+```
+
+## Delete Generation
+
+```http
+DELETE /history/{id}
+```
+
+**Response:**
+```json
+{
+ "success": true
+}
+```
+
+## TypeScript Example
+
+```typescript
+import { VoiceboxClient } from '@/lib/api'
+
+const client = new VoiceboxClient({
+ baseUrl: 'http://localhost:17493'
+})
+
+// Generate speech
+const generation = await client.generate({
+ text: 'Hello world',
+ profile_id: 'abc123',
+ language: 'en'
+})
+
+// Get audio URL
+const audioUrl = generation.audio_url
+
+// List history
+const history = await client.listHistory({
+ profile_id: 'abc123',
+ limit: 20
+})
+```
+
+For full API documentation, visit `http://localhost:17493/docs` when the server is running.
diff --git a/docs/api/overview.mdx b/docs/api/overview.mdx
new file mode 100644
index 00000000..c862a332
--- /dev/null
+++ b/docs/api/overview.mdx
@@ -0,0 +1,219 @@
+---
+title: "API Overview"
+description: "Integrate voice synthesis into your applications with the Voicebox REST API"
+---
+
+## Introduction
+
+Voicebox exposes a full REST API that allows you to integrate voice synthesis into your own applications. The API runs on `http://localhost:17493` by default.
+
+
+ When Voicebox is running, visit the auto-generated API documentation at `http://localhost:17493/docs`
+
+
+## Base URL
+
+```
+http://localhost:17493
+```
+
+For remote deployments, replace `localhost` with your server's IP or hostname.
+
+## Authentication
+
+
+ Currently, the API does not require authentication for local development. Authentication will be added in a future release for production deployments.
+
+
+## Quick Example
+
+Here's a simple example of generating speech:
+
+```bash
+# Generate speech
+curl -X POST http://localhost:17493/generate \
+ -H "Content-Type: application/json" \
+ -d '{
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "language": "en"
+ }'
+```
+
+## API Endpoints
+
+The Voicebox API is organized into several categories:
+
+
+
+ Create, list, update, and delete voice profiles
+
+
+ Generate speech from text using voice profiles
+
+
+ Record and transcribe audio
+
+
+ Create and manage multi-voice stories (coming soon)
+
+
+
+## Core Endpoints
+
+### Voice Profiles
+
+```http
+GET /profiles # List all profiles
+POST /profiles # Create a new profile
+GET /profiles/{id} # Get profile details
+PUT /profiles/{id} # Update a profile
+DELETE /profiles/{id} # Delete a profile
+POST /profiles/{id}/samples # Add voice sample
+```
+
+### Generation
+
+```http
+POST /generate # Generate speech
+GET /history # List generation history
+GET /history/{id} # Get generation details
+DELETE /history/{id} # Delete from history
+```
+
+### Recordings
+
+```http
+POST /recordings # Start recording
+POST /recordings/stop # Stop recording
+POST /transcribe # Transcribe audio
+```
+
+## Response Format
+
+All API responses follow a consistent JSON format:
+
+```json
+{
+ "success": true,
+ "data": {
+ // Response data
+ },
+ "error": null
+}
+```
+
+Error responses:
+
+```json
+{
+ "success": false,
+ "data": null,
+ "error": {
+ "message": "Error description",
+ "code": "ERROR_CODE"
+ }
+}
+```
+
+## Data Models
+
+### Voice Profile
+
+```json
+{
+ "id": "abc123",
+ "name": "John Smith",
+ "language": "en",
+ "description": "Professional narrator voice",
+ "created_at": "2024-01-29T12:00:00Z",
+ "samples": [
+ {
+ "id": "sample123",
+ "audio_path": "/path/to/sample.wav",
+ "duration": 15.5
+ }
+ ]
+}
+```
+
+### Generation
+
+```json
+{
+ "id": "gen123",
+ "text": "Hello world",
+ "profile_id": "abc123",
+ "language": "en",
+ "audio_path": "/path/to/output.wav",
+ "duration": 2.3,
+ "created_at": "2024-01-29T12:00:00Z"
+}
+```
+
+## TypeScript Client
+
+Voicebox provides an auto-generated TypeScript client with full type safety:
+
+```typescript
+import { VoiceboxClient } from '@/lib/api'
+
+const client = new VoiceboxClient({
+ baseUrl: 'http://localhost:17493'
+})
+
+// Create a profile
+const profile = await client.createProfile({
+ name: 'John Smith',
+ language: 'en'
+})
+
+// Generate speech
+const generation = await client.generate({
+ text: 'Hello world',
+ profile_id: profile.id,
+ language: 'en'
+})
+```
+
+The client is automatically generated from the OpenAPI schema. See [Development Setup](/development/setup#generate-openapi-client) for details.
+
+## Rate Limiting
+
+
+ Currently, there are no rate limits for local usage. Rate limiting will be added in a future release for production deployments.
+
+
+## WebSocket Support
+
+
+ Real-time streaming generation via WebSockets is planned for a future release.
+
+
+## Use Cases
+
+
+
+ Generate dynamic dialogue for NPCs and characters
+
+
+ Automate voiceovers for videos and podcasts
+
+
+ Build text-to-speech tools for visually impaired users
+
+
+ Create custom voice interfaces
+
+
+
+## Next Steps
+
+
+
+ Learn how to manage voice profiles
+
+
+ Generate speech from text
+
+
diff --git a/docs/api/recordings.mdx b/docs/api/recordings.mdx
new file mode 100644
index 00000000..dd0552d2
--- /dev/null
+++ b/docs/api/recordings.mdx
@@ -0,0 +1,95 @@
+---
+title: "Recordings API"
+description: "Record and transcribe audio"
+---
+
+## Start Recording
+
+```http
+POST /recordings/start
+```
+
+**Request:**
+```json
+{
+ "source": "microphone"
+}
+```
+
+**Response:**
+```json
+{
+ "recording_id": "rec123",
+ "status": "recording"
+}
+```
+
+## Stop Recording
+
+```http
+POST /recordings/stop
+```
+
+**Request:**
+```json
+{
+ "recording_id": "rec123"
+}
+```
+
+**Response:**
+```json
+{
+ "recording_id": "rec123",
+ "audio_url": "/audio/rec123.wav",
+ "duration": 15.5
+}
+```
+
+## Transcribe Audio
+
+```http
+POST /transcribe
+```
+
+**Request:** (multipart/form-data)
+```
+audio:
+language: "en" (optional)
+```
+
+**Response:**
+```json
+{
+ "text": "Transcribed speech text here",
+ "language": "en",
+ "duration": 15.5,
+ "confidence": 0.95
+}
+```
+
+## TypeScript Example
+
+```typescript
+import { VoiceboxClient } from '@/lib/api'
+
+const client = new VoiceboxClient({
+ baseUrl: 'http://localhost:17493'
+})
+
+// Start recording
+const recording = await client.startRecording({
+ source: 'microphone'
+})
+
+// ... record audio ...
+
+// Stop recording
+const result = await client.stopRecording(recording.id)
+
+// Transcribe
+const transcription = await client.transcribe(audioFile, 'en')
+console.log(transcription.text)
+```
+
+For full API documentation, visit `http://localhost:17493/docs` when the server is running.
diff --git a/docs/api/voice-profiles.mdx b/docs/api/voice-profiles.mdx
new file mode 100644
index 00000000..3715e44c
--- /dev/null
+++ b/docs/api/voice-profiles.mdx
@@ -0,0 +1,149 @@
+---
+title: "Voice Profiles API"
+description: "Manage voice profiles programmatically"
+---
+
+## Endpoints
+
+### List Profiles
+
+```http
+GET /profiles
+```
+
+**Response:**
+```json
+{
+ "profiles": [
+ {
+ "id": "abc123",
+ "name": "John Smith",
+ "language": "en",
+ "description": "Professional narrator",
+ "created_at": "2024-01-29T12:00:00Z",
+ "sample_count": 2
+ }
+ ]
+}
+```
+
+### Get Profile
+
+```http
+GET /profiles/{id}
+```
+
+**Response:**
+```json
+{
+ "id": "abc123",
+ "name": "John Smith",
+ "language": "en",
+ "description": "Professional narrator",
+ "created_at": "2024-01-29T12:00:00Z",
+ "samples": [
+ {
+ "id": "sample123",
+ "duration": 15.5,
+ "created_at": "2024-01-29T12:00:00Z"
+ }
+ ]
+}
+```
+
+### Create Profile
+
+```http
+POST /profiles
+```
+
+**Request:**
+```json
+{
+ "name": "John Smith",
+ "language": "en",
+ "description": "Professional narrator"
+}
+```
+
+**Response:**
+```json
+{
+ "id": "abc123",
+ "name": "John Smith",
+ "language": "en",
+ "description": "Professional narrator",
+ "created_at": "2024-01-29T12:00:00Z"
+}
+```
+
+### Update Profile
+
+```http
+PUT /profiles/{id}
+```
+
+**Request:**
+```json
+{
+ "name": "Updated Name",
+ "description": "Updated description"
+}
+```
+
+### Delete Profile
+
+```http
+DELETE /profiles/{id}
+```
+
+**Response:**
+```json
+{
+ "success": true
+}
+```
+
+### Add Voice Sample
+
+```http
+POST /profiles/{id}/samples
+```
+
+**Request:** (multipart/form-data)
+```
+audio:
+```
+
+**Response:**
+```json
+{
+ "sample_id": "sample123",
+ "duration": 15.5
+}
+```
+
+## TypeScript Example
+
+```typescript
+import { VoiceboxClient } from '@/lib/api'
+
+const client = new VoiceboxClient({
+ baseUrl: 'http://localhost:17493'
+})
+
+// Create profile
+const profile = await client.createProfile({
+ name: 'John Smith',
+ language: 'en',
+ description: 'Professional narrator'
+})
+
+// Add sample
+await client.addSample(profile.id, audioFile)
+
+// List all profiles
+const profiles = await client.listProfiles()
+```
+
+For full API documentation, visit `http://localhost:17493/docs` when the server is running.
diff --git a/docs/bun.lock b/docs/bun.lock
new file mode 100644
index 00000000..d5a07a32
--- /dev/null
+++ b/docs/bun.lock
@@ -0,0 +1,1831 @@
+{
+ "lockfileVersion": 1,
+ "configVersion": 1,
+ "workspaces": {
+ "": {
+ "name": "voicebox-docs",
+ "devDependencies": {
+ "mintlify": "latest",
+ },
+ },
+ },
+ "packages": {
+ "@alcalzone/ansi-tokenize": ["@alcalzone/ansi-tokenize@0.2.4", "", { "dependencies": { "ansi-styles": "^6.2.1", "is-fullwidth-code-point": "^5.0.0" } }, "sha512-HTgrrTgZ9Jgeo6Z3oqbQ7lifOVvRR14vaDuBGPPUxk9Thm+vObaO4QfYYYWw4Zo5CWQDBEfsinFA6Gre+AqwNQ=="],
+
+ "@alloc/quick-lru": ["@alloc/quick-lru@5.2.0", "", {}, "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw=="],
+
+ "@ark/schema": ["@ark/schema@0.55.0", "", { "dependencies": { "@ark/util": "0.55.0" } }, "sha512-IlSIc0FmLKTDGr4I/FzNHauMn0MADA6bCjT1wauu4k6MyxhC1R9gz0olNpIRvK7lGGDwtc/VO0RUDNvVQW5WFg=="],
+
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diff --git a/docs/custom.css b/docs/custom.css
new file mode 100644
index 00000000..2a8e7a15
--- /dev/null
+++ b/docs/custom.css
@@ -0,0 +1,15 @@
+/* Anchor hover styles */
+.nav-anchor:hover {
+ @apply text-[#BF9E40];
+}
+
+/* Icon wrapper on hover */
+.nav-anchor:hover div {
+ background: #BF9E40 !important;
+ filter: brightness(1) !important;
+}
+
+/* Icon SVG on hover */
+.nav-anchor:hover svg {
+ @apply bg-white !important;
+}
diff --git a/docs/developer/architecture.mdx b/docs/developer/architecture.mdx
new file mode 100644
index 00000000..a6503f0d
--- /dev/null
+++ b/docs/developer/architecture.mdx
@@ -0,0 +1,202 @@
+---
+title: "Architecture"
+description: "Understanding Voicebox's technical architecture"
+---
+
+## System Overview
+
+Voicebox uses a client-server architecture with a React frontend and Python backend. The desktop app is built with Tauri and contains two main layers:
+
+**Frontend Layer:** A React application that handles the UI components, state management with Zustand, and data fetching with React Query (TanStack Query).
+
+**Backend Layer:** A Python FastAPI server that provides the REST API, runs the TTS engine (Qwen3-TTS), manages the SQLite database, and handles audio processing.
+
+These two layers communicate via HTTP, with the frontend making API requests to the backend.
+
+## Frontend Architecture
+
+### Tech Stack
+
+- **Framework**: React 18 with TypeScript
+- **State Management**: Zustand stores
+- **Data Fetching**: React Query (TanStack Query)
+- **Styling**: Tailwind CSS
+- **Audio**: WaveSurfer.js
+- **Desktop**: Tauri (Rust)
+
+### Component Structure
+
+```
+app/src/
+├── components/ # React components
+│ ├── profiles/ # Voice profile UI
+│ ├── generation/ # Speech generation UI
+│ ├── stories/ # Timeline editor
+│ └── shared/ # Reusable components
+├── lib/ # Utilities
+│ ├── api/ # Generated API client
+│ └── utils/ # Helper functions
+├── hooks/ # React hooks
+└── stores/ # Zustand state stores
+```
+
+### State Management
+
+```typescript
+// Example: Profile store
+const useProfileStore = create((set) => ({
+ profiles: [],
+ selectedProfile: null,
+ setProfiles: (profiles) => set({ profiles }),
+ selectProfile: (id) => set({ selectedProfile: id })
+}))
+```
+
+## Backend Architecture
+
+### Tech Stack
+
+- **Framework**: FastAPI (Python 3.11+)
+- **TTS Model**: Qwen3-TTS
+- **Transcription**: Whisper
+- **Database**: SQLite
+- **Audio**: librosa, soundfile
+
+### API Structure
+
+```python
+# main.py - API routes
+@app.post("/generate")
+async def generate_speech(request: GenerateRequest):
+ # 1. Validate request
+ # 2. Load voice profile
+ # 3. Generate audio with TTS
+ # 4. Save to database
+ # 5. Return response
+```
+
+### Data Model
+
+The database uses three main tables:
+
+**Profile Table:** Stores voice profiles with fields for id, name, and language.
+
+**Sample Table:** Stores audio samples linked to profiles via profile_id, with fields for audio_path and duration.
+
+**Generation Table:** Stores generated audio with fields for id, profile_id, text, and audio_path.
+
+## Desktop App (Tauri)
+
+### Rust Backend
+
+```rust
+// Sidecar process management
+// File system access
+// Native integrations
+```
+
+### Responsibilities
+
+- Launch Python backend as sidecar process
+- Native file dialogs
+- System tray integration
+- Auto-updates
+- OS-specific features
+
+## Build Process
+
+### Development
+
+```bash
+# Frontend (Vite dev server)
+cd app && bun run dev
+
+# Backend (manual start)
+cd backend && uvicorn main:app --reload
+
+# Desktop app (connects to manual backend)
+bun run dev
+```
+
+### Production
+
+```bash
+# 1. Build server binary (PyInstaller)
+./scripts/build-server.sh
+
+# 2. Build Tauri app (includes server)
+cd tauri && bun run tauri build
+```
+
+## Data Flow
+
+### Generation Flow
+
+When a user generates speech, the data flows through the following stages:
+
+1. **User Input** - User enters text in a React component
+2. **State Update** - Text is stored in Zustand state
+3. **API Request** - React Query mutation triggers an API call via fetch
+4. **Backend Processing** - FastAPI endpoint receives the request
+5. **TTS Generation** - Qwen3-TTS model generates the audio
+6. **Storage** - Audio file is saved to disk and a database record is created
+7. **Response** - Backend returns the audio URL
+8. **Cache Update** - React Query updates its cache with the response
+9. **UI Update** - Component re-renders with new data
+10. **Playback** - User can play the generated audio
+
+## Performance Considerations
+
+### Frontend
+
+- **Code splitting** - Lazy load routes
+- **Memoization** - React.memo for heavy components
+- **Virtual scrolling** - For large lists
+- **Debouncing** - Search and input handling
+
+### Backend
+
+- **Async operations** - All I/O is async
+- **Model caching** - Keep TTS model in memory
+- **Voice prompt caching** - Reuse embeddings
+- **Connection pooling** - Database connections
+
+## Security
+
+### Current
+
+- Local-only by default
+- No authentication (localhost trust)
+- File system sandboxing via Tauri
+
+### Planned
+
+- API key authentication
+- User accounts
+- Rate limiting
+- HTTPS support
+
+## Deployment Modes
+
+### Local Mode
+
+- Backend runs as sidecar
+- All data stays on device
+- No network required
+
+### Remote Mode
+
+- Backend on separate machine
+- Frontend connects via HTTP
+- Shared infrastructure possible
+
+## Next Steps
+
+
+
+ Set up your dev environment
+
+
+ Contribute to Voicebox
+
+
diff --git a/docs/developer/audio-channels.mdx b/docs/developer/audio-channels.mdx
new file mode 100644
index 00000000..6fce8164
--- /dev/null
+++ b/docs/developer/audio-channels.mdx
@@ -0,0 +1,310 @@
+---
+title: "Audio Channels"
+description: "How audio output routing works in Voicebox"
+---
+
+## Overview
+
+Audio channels allow routing voice output to different audio devices. This is useful for multi-output setups where different voices should play through different speakers or applications.
+
+## Architecture
+
+**Channel:** A named audio bus that can be assigned to output devices.
+
+**Device Mapping:** Links channels to OS audio device identifiers.
+
+**Profile Mapping:** Links voice profiles to channels (many-to-many).
+
+## Data Model
+
+### AudioChannel Table
+
+```python
+class AudioChannel(Base):
+ __tablename__ = "audio_channels"
+
+ id = Column(String, primary_key=True)
+ name = Column(String, nullable=False)
+ is_default = Column(Boolean, default=False)
+ created_at = Column(DateTime)
+```
+
+### ChannelDeviceMapping Table
+
+```python
+class ChannelDeviceMapping(Base):
+ __tablename__ = "channel_device_mappings"
+
+ id = Column(String, primary_key=True)
+ channel_id = Column(String, ForeignKey("audio_channels.id"))
+ device_id = Column(String) # OS device identifier
+```
+
+### ProfileChannelMapping Table
+
+```python
+class ProfileChannelMapping(Base):
+ __tablename__ = "profile_channel_mappings"
+
+ profile_id = Column(String, ForeignKey("profiles.id"), primary_key=True)
+ channel_id = Column(String, ForeignKey("audio_channels.id"), primary_key=True)
+```
+
+## Default Channel
+
+A default channel is created on database initialization:
+
+```python
+def init_db():
+ # Create default channel if it doesn't exist
+ default_channel = db.query(AudioChannel).filter(
+ AudioChannel.is_default == True
+ ).first()
+
+ if not default_channel:
+ default_channel = AudioChannel(
+ id=str(uuid.uuid4()),
+ name="Default",
+ is_default=True
+ )
+ db.add(default_channel)
+
+ # Assign all existing profiles to default channel
+ profiles = db.query(VoiceProfile).all()
+ for profile in profiles:
+ mapping = ProfileChannelMapping(
+ profile_id=profile.id,
+ channel_id=default_channel.id
+ )
+ db.add(mapping)
+```
+
+## Core Operations
+
+### Creating a Channel
+
+```python
+async def create_channel(
+ data: AudioChannelCreate,
+ db: Session,
+) -> AudioChannelResponse:
+ # Check name uniqueness
+ existing = db.query(DBAudioChannel).filter_by(name=data.name).first()
+ if existing:
+ raise ValueError(f"Channel with name '{data.name}' already exists")
+
+ # Create channel
+ channel = DBAudioChannel(
+ id=str(uuid.uuid4()),
+ name=data.name,
+ is_default=False,
+ )
+ db.add(channel)
+
+ # Add device mappings
+ for device_id in data.device_ids:
+ mapping = DBChannelDeviceMapping(
+ id=str(uuid.uuid4()),
+ channel_id=channel.id,
+ device_id=device_id,
+ )
+ db.add(mapping)
+
+ db.commit()
+```
+
+### Updating a Channel
+
+```python
+async def update_channel(
+ channel_id: str,
+ data: AudioChannelUpdate,
+ db: Session,
+) -> AudioChannelResponse:
+ channel = db.query(DBAudioChannel).filter_by(id=channel_id).first()
+
+ # Cannot modify default channel
+ if channel.is_default:
+ raise ValueError("Cannot modify the default channel")
+
+ # Update name
+ if data.name is not None:
+ channel.name = data.name
+
+ # Update device mappings
+ if data.device_ids is not None:
+ # Delete existing
+ db.query(DBChannelDeviceMapping).filter_by(channel_id=channel_id).delete()
+
+ # Add new
+ for device_id in data.device_ids:
+ mapping = DBChannelDeviceMapping(
+ channel_id=channel.id,
+ device_id=device_id,
+ )
+ db.add(mapping)
+
+ db.commit()
+```
+
+### Deleting a Channel
+
+```python
+async def delete_channel(channel_id: str, db: Session) -> bool:
+ channel = db.query(DBAudioChannel).filter_by(id=channel_id).first()
+
+ # Cannot delete default channel
+ if channel.is_default:
+ raise ValueError("Cannot delete the default channel")
+
+ # Delete device mappings
+ db.query(DBChannelDeviceMapping).filter_by(channel_id=channel_id).delete()
+
+ # Delete profile-channel mappings
+ db.query(DBProfileChannelMapping).filter_by(channel_id=channel_id).delete()
+
+ # Delete channel
+ db.delete(channel)
+ db.commit()
+```
+
+## Voice Assignment
+
+### Assigning Voices to Channel
+
+```python
+async def set_channel_voices(
+ channel_id: str,
+ data: ChannelVoiceAssignment,
+ db: Session,
+) -> None:
+ # Verify channel exists
+ channel = db.query(DBAudioChannel).filter_by(id=channel_id).first()
+ if not channel:
+ raise ValueError(f"Channel {channel_id} not found")
+
+ # Verify all profiles exist
+ for profile_id in data.profile_ids:
+ profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
+ if not profile:
+ raise ValueError(f"Profile {profile_id} not found")
+
+ # Delete existing mappings
+ db.query(DBProfileChannelMapping).filter_by(channel_id=channel_id).delete()
+
+ # Add new mappings
+ for profile_id in data.profile_ids:
+ mapping = DBProfileChannelMapping(
+ profile_id=profile_id,
+ channel_id=channel_id,
+ )
+ db.add(mapping)
+
+ db.commit()
+```
+
+### Assigning Channels to Voice
+
+```python
+async def set_profile_channels(
+ profile_id: str,
+ data: ProfileChannelAssignment,
+ db: Session,
+) -> None:
+ # Verify profile exists
+ profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
+ if not profile:
+ raise ValueError(f"Profile {profile_id} not found")
+
+ # Delete existing mappings
+ db.query(DBProfileChannelMapping).filter_by(profile_id=profile_id).delete()
+
+ # Add new mappings
+ for channel_id in data.channel_ids:
+ mapping = DBProfileChannelMapping(
+ profile_id=profile_id,
+ channel_id=channel_id,
+ )
+ db.add(mapping)
+
+ db.commit()
+```
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/channels` | List all channels |
+| POST | `/channels` | Create a channel |
+| GET | `/channels/{id}` | Get channel by ID |
+| PUT | `/channels/{id}` | Update channel |
+| DELETE | `/channels/{id}` | Delete channel |
+| GET | `/channels/{id}/voices` | Get assigned voices |
+| PUT | `/channels/{id}/voices` | Set assigned voices |
+| GET | `/profiles/{id}/channels` | Get profile's channels |
+| PUT | `/profiles/{id}/channels` | Set profile's channels |
+
+## Request/Response Schemas
+
+### AudioChannelCreate
+
+```json
+{
+ "name": "Speakers",
+ "device_ids": ["device_uuid_1", "device_uuid_2"]
+}
+```
+
+### AudioChannelResponse
+
+```json
+{
+ "id": "channel_uuid",
+ "name": "Speakers",
+ "is_default": false,
+ "device_ids": ["device_uuid_1", "device_uuid_2"],
+ "created_at": "2024-01-15T10:30:00Z"
+}
+```
+
+### ChannelVoiceAssignment
+
+```json
+{
+ "profile_ids": ["profile_1", "profile_2"]
+}
+```
+
+## Use Cases
+
+### Multi-Output Setup
+
+**Scenario:** Stream with different voice characters
+
+1. Create "Stream" channel → OBS virtual audio
+2. Create "Monitor" channel → Headphones
+3. Assign "Narrator" profile → Both channels
+4. Assign "Character 1" profile → Stream only
+
+### Virtual Audio Cables
+
+Common device IDs for virtual audio:
+- VB-Audio Virtual Cable
+- BlackHole (macOS)
+- Soundflower (macOS)
+
+## Frontend Integration
+
+The frontend needs to:
+
+1. **Enumerate devices** using Web Audio API or Tauri
+2. **Display channel list** with device assignments
+3. **Allow profile assignment** via drag/drop or dropdown
+4. **Route playback** to correct device based on profile's channel
+
+## Limitations
+
+- Device IDs are OS-specific
+- Hot-plugging may invalidate device IDs
+- Default channel cannot be modified/deleted
+- Frontend handles actual audio routing (backend just stores config)
diff --git a/docs/developer/autoupdater.mdx b/docs/developer/autoupdater.mdx
new file mode 100644
index 00000000..b483f153
--- /dev/null
+++ b/docs/developer/autoupdater.mdx
@@ -0,0 +1,84 @@
+---
+title: "Auto-Updater"
+description: "Configure and use the Tauri auto-updater"
+---
+
+## Overview
+
+Voicebox uses Tauri's built-in auto-updater to deliver updates to users automatically.
+
+## Quick Reference
+
+For detailed setup instructions, see the existing documentation:
+
+- [AUTOUPDATER_QUICKSTART.md](https://github.com/jamiepine/voicebox/blob/main/docs/AUTOUPDATER_QUICKSTART.md)
+- [AUTOUPDATER.md](https://github.com/jamiepine/voicebox/blob/main/docs/AUTOUPDATER.md)
+
+## How It Works
+
+The auto-updater follows a secure update process:
+
+1. **Check for Updates** - The Voicebox app periodically checks GitHub Releases for new versions
+2. **Download Update** - If a new version is found, the update package is downloaded
+3. **Verify Signature** - The downloaded package is cryptographically verified using the public key
+4. **Install** - After verification, the update is installed
+5. **Restart** - The app restarts with the new version
+
+## Configuration
+
+Updates are configured in `tauri/src-tauri/tauri.conf.json`:
+
+```json
+{
+ "updater": {
+ "active": true,
+ "endpoints": [
+ "https://github.com/jamiepine/voicebox/releases/latest/download/latest.json"
+ ],
+ "dialog": true,
+ "pubkey": "YOUR_PUBLIC_KEY"
+ }
+}
+```
+
+## Generating Keys
+
+```bash
+# Generate signing keys
+bun run generate:keys
+
+# Keys saved to ~/.tauri/voicebox.key
+```
+
+
+ Keep your private key secure! Never commit it to the repository.
+
+
+## Release Process
+
+1. **Bump version** using bumpversion
+2. **Push tag** to trigger CI/CD
+3. **GitHub Actions** builds and signs releases
+4. **Users** receive update notification
+
+## User Experience
+
+When an update is available:
+
+1. User sees a notification dialog
+2. User clicks "Update"
+3. Update downloads in background
+4. App restarts with new version
+
+## For Developers
+
+See the full documentation files for:
+
+- Setting up signing keys
+- Configuring GitHub releases
+- Testing updates locally
+- Troubleshooting update failures
+
+
+ Access AUTOUPDATER.md and AUTOUPDATER_QUICKSTART.md in the repository
+
diff --git a/docs/developer/building.mdx b/docs/developer/building.mdx
new file mode 100644
index 00000000..860cf211
--- /dev/null
+++ b/docs/developer/building.mdx
@@ -0,0 +1,263 @@
+---
+title: "Building"
+description: "Build Voicebox for production"
+---
+
+## Overview
+
+Voicebox uses a multi-step build process to create platform-specific installers.
+
+## Quick Build
+
+```bash
+# Build for your current platform
+make build
+
+# Or manually
+cd tauri && bun run tauri build
+```
+
+## Build Steps
+
+### 1. Build Server Binary
+
+The Python backend must be compiled into a standalone executable first:
+
+```bash
+./scripts/build-server.sh
+```
+
+This uses PyInstaller to create a binary in `tauri/src-tauri/binaries/`.
+
+**Platform-specific binaries:**
+- macOS: `voicebox-server-aarch64-apple-darwin` or `voicebox-server-x86_64-apple-darwin`
+- Windows: `voicebox-server-x86_64-pc-windows-msvc.exe`
+- Linux: `voicebox-server-x86_64-unknown-linux-gnu`
+
+
+ The build script automatically detects your platform and creates the appropriate binary.
+
+
+### 2. Build Tauri App
+
+```bash
+cd tauri
+bun run tauri build
+```
+
+This will:
+1. Build the React frontend (Vite)
+2. Compile the Rust backend
+3. Bundle the server binary as a sidecar
+4. Create platform-specific installers
+
+### 3. Output
+
+Installers are created in `tauri/src-tauri/target/release/bundle/`:
+
+**macOS:**
+- `dmg/` - Disk image installer
+- `macos/` - App bundle
+
+**Windows:**
+- `msi/` - MSI installer
+- `nsis/` - NSIS installer
+
+**Linux:**
+- `deb/` - Debian package
+- `appimage/` - AppImage
+
+## Advanced Options
+
+### Building for Specific Platform
+
+```bash
+# Build for macOS (Apple Silicon)
+bun run tauri build -- --target aarch64-apple-darwin
+
+# Build for macOS (Intel)
+bun run tauri build -- --target x86_64-apple-darwin
+
+# Build for Windows
+bun run tauri build -- --target x86_64-pc-windows-msvc
+
+# Build for Linux
+bun run tauri build -- --target x86_64-unknown-linux-gnu
+```
+
+### Using Local Qwen3-TTS
+
+If you're developing Qwen3-TTS locally:
+
+```bash
+export QWEN_TTS_PATH=~/path/to/Qwen3-TTS
+./scripts/build-server.sh
+```
+
+This makes PyInstaller use your local version instead of the pip package.
+
+### Debug Build
+
+```bash
+cd tauri
+bun run tauri build --debug
+```
+
+Creates a debug build with symbols and logging.
+
+## Build Configuration
+
+### Tauri Config
+
+Edit `tauri/src-tauri/tauri.conf.json`:
+
+```json
+{
+ "bundle": {
+ "identifier": "com.voicebox.app",
+ "icon": [
+ "icons/32x32.png",
+ "icons/128x128.png",
+ "icons/icon.icns",
+ "icons/icon.ico"
+ ]
+ }
+}
+```
+
+### Sidecar Configuration
+
+The Python server is bundled as a sidecar:
+
+```json
+{
+ "tauri": {
+ "bundle": {
+ "externalBin": [
+ "binaries/voicebox-server"
+ ]
+ }
+ }
+}
+```
+
+## Code Signing
+
+### macOS
+
+To sign the app for distribution:
+
+```bash
+# Set signing identity
+export APPLE_SIGNING_IDENTITY="Developer ID Application: Your Name"
+
+# Build with signing
+bun run tauri build
+```
+
+For notarization:
+
+```bash
+# Set credentials
+export APPLE_ID="your@email.com"
+export APPLE_PASSWORD="app-specific-password"
+
+# Build and notarize
+bun run tauri build
+```
+
+### Windows
+
+For Windows code signing:
+
+```bash
+# Set certificate
+export WINDOWS_CERTIFICATE_PATH="/path/to/cert.pfx"
+export WINDOWS_CERTIFICATE_PASSWORD="password"
+
+# Build with signing
+bun run tauri build
+```
+
+## Release Process
+
+The full release process is automated:
+
+```bash
+# 1. Bump version
+bumpversion patch # or minor/major
+
+# 2. Build all platforms (CI/CD handles this)
+git push --tags
+
+# 3. GitHub Actions creates releases
+```
+
+See [CONTRIBUTING.md](/development/contributing) for the full release workflow.
+
+## Troubleshooting
+
+
+
+ **Common issues:**
+ - Missing Python dependencies: `pip install -r requirements.txt`
+ - PyInstaller not found: `pip install pyinstaller`
+ - Qwen3-TTS not installed: `pip install git+https://github.com/QwenLM/Qwen3-TTS.git`
+
+ **Solution:**
+ ```bash
+ cd backend
+ source venv/bin/activate
+ pip install -r requirements.txt
+ pip install pyinstaller
+ ```
+
+
+
+ **Common issues:**
+ - Rust not installed: `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`
+ - Server binary missing: Run `./scripts/build-server.sh` first
+ - Node modules outdated: `bun install`
+
+ **Solution:**
+ ```bash
+ # Clean and rebuild
+ cd tauri/src-tauri
+ cargo clean
+ cd ../..
+ ./scripts/build-server.sh
+ bun run tauri build
+ ```
+
+
+
+ **Check:**
+ - Server binary has execute permissions
+ - All dependencies are bundled
+ - Check logs in the app's data directory
+
+ **macOS:**
+ ```bash
+ tail -f ~/Library/Application\ Support/com.voicebox.app/logs/server.log
+ ```
+
+ **Windows:**
+ ```bash
+ type %APPDATA%\com.voicebox.app\logs\server.log
+ ```
+
+
+
+## CI/CD
+
+GitHub Actions automatically builds releases when tags are pushed:
+
+```yaml
+# .github/workflows/release.yml
+on:
+ push:
+ tags:
+ - 'v*'
+```
+
+See the [repository](https://github.com/jamiepine/voicebox) for the full CI/CD configuration.
diff --git a/docs/developer/contributing.mdx b/docs/developer/contributing.mdx
new file mode 100644
index 00000000..d67a2f4b
--- /dev/null
+++ b/docs/developer/contributing.mdx
@@ -0,0 +1,326 @@
+---
+title: "Contributing"
+description: "How to contribute to Voicebox"
+---
+
+Thank you for your interest in contributing to Voicebox! This guide will help you get started.
+
+## Code of Conduct
+
+- Be respectful and inclusive
+- Welcome newcomers and help them learn
+- Focus on constructive feedback
+- Respect different viewpoints and experiences
+
+## Getting Started
+
+Before you start contributing, make sure you have:
+
+1. **Read the documentation** to understand how Voicebox works
+2. **Set up your development environment** - see [Development Setup](/development/setup)
+3. **Explored the codebase** to understand the project structure
+4. **Checked existing issues** to see if someone else is working on something similar
+
+## Ways to Contribute
+
+
+
+ Found a bug? Open an issue with reproduction steps
+
+
+ Have an idea? Start a discussion or open an issue
+
+
+ Fix typos, add examples, or clarify instructions
+
+
+ Fix bugs, add features, or optimize performance
+
+
+
+## Development Workflow
+
+### 1. Fork & Clone
+
+```bash
+# Fork the repository on GitHub
+# Then clone your fork
+git clone https://github.com/YOUR_USERNAME/voicebox.git
+cd voicebox
+```
+
+### 2. Create a Branch
+
+Use descriptive branch names:
+
+```bash
+# For features
+git checkout -b feature/voice-effects
+
+# For bug fixes
+git checkout -b fix/audio-playback-issue
+
+# For documentation
+git checkout -b docs/api-examples
+```
+
+### 3. Make Your Changes
+
+Follow these guidelines:
+
+
+
+ **TypeScript/React:**
+ - Use TypeScript strict mode
+ - Prefer functional components with hooks
+ - Use named exports
+ - Format with Biome (runs automatically)
+
+ **Python:**
+ - Follow PEP 8
+ - Use type hints
+ - Use async/await for I/O
+ - Document functions with docstrings
+
+ **Rust:**
+ - Follow Rust conventions
+ - Use meaningful names
+ - Handle errors explicitly
+ - Run `rustfmt`
+
+
+
+ Write clear, descriptive commit messages:
+
+ ```bash
+ # Good
+ git commit -m "Add voice profile export feature"
+ git commit -m "Fix audio playback stopping after 30 seconds"
+
+ # Avoid
+ git commit -m "Update code"
+ git commit -m "Fix bug"
+ ```
+
+ Format:
+ - Use imperative mood ("Add feature" not "Added feature")
+ - Keep first line under 50 characters
+ - Add detailed description if needed
+
+
+
+ - Test your changes manually in the app
+ - Ensure backend API endpoints work
+ - Check for TypeScript/Python errors
+ - Verify UI components render correctly
+ - Add automated tests when possible
+
+
+
+### 4. Push & Create PR
+
+```bash
+# Push your branch
+git push origin feature/your-feature-name
+
+# Then create a pull request on GitHub
+```
+
+## Pull Request Guidelines
+
+When creating a pull request:
+
+
+
+ Examples:
+ - "Add voice profile export functionality"
+ - "Fix audio playback stopping after 30 seconds"
+ - "Improve generation speed with caching"
+
+
+
+ Include:
+ - What changes you made
+ - Why you made them
+ - How to test them
+ - Screenshots (for UI changes)
+ - Reference related issues
+
+
+
+ - Update relevant docs if behavior changes
+ - Add API documentation for new endpoints
+ - Update README if needed
+
+
+
+ - [ ] Code follows style guidelines
+ - [ ] Documentation updated
+ - [ ] Changes tested
+ - [ ] No breaking changes (or documented)
+ - [ ] CHANGELOG.md updated
+
+
+
+## Project Structure
+
+Understanding the codebase:
+
+```
+voicebox/
+├── app/ # Shared React frontend
+│ ├── src/
+│ │ ├── components/ # UI components
+│ │ ├── lib/ # Utilities and API client
+│ │ ├── hooks/ # React hooks
+│ │ └── stores/ # Zustand state stores
+├── backend/ # Python FastAPI server
+│ ├── main.py # API routes
+│ ├── tts.py # Voice synthesis logic
+│ ├── database.py # SQLite operations
+│ └── models.py # Pydantic models
+├── tauri/ # Desktop app wrapper
+│ └── src-tauri/ # Rust backend
+├── web/ # Web deployment
+├── landing/ # Marketing website
+└── scripts/ # Build & release scripts
+```
+
+## Areas for Contribution
+
+### Bug Fixes
+
+- Check [existing issues](https://github.com/jamiepine/voicebox/issues) for bugs
+- Test your fix thoroughly
+- Add regression tests if possible
+
+### New Features
+
+- Check the [roadmap](https://github.com/jamiepine/voicebox#roadmap) for planned features
+- Discuss major features in an issue first
+- Keep features focused and well-scoped
+
+### Documentation
+
+- Improve clarity and fix typos
+- Add code examples
+- Create tutorials or guides
+- Document API endpoints
+
+### UI/UX Improvements
+
+- Improve accessibility
+- Enhance visual design
+- Optimize performance
+- Add animations/transitions
+
+### Infrastructure
+
+- Improve build process
+- Add CI/CD improvements
+- Optimize bundle size
+- Add testing infrastructure
+
+## API Development
+
+When adding new API endpoints:
+
+
+
+ In `backend/main.py`:
+
+ ```python
+ @app.post("/api/new-endpoint")
+ async def new_endpoint(data: RequestModel) -> ResponseModel:
+ """Endpoint description."""
+ # Implementation
+ return response
+ ```
+
+
+
+ In `backend/models.py`:
+
+ ```python
+ class RequestModel(BaseModel):
+ field: str
+
+ class ResponseModel(BaseModel):
+ result: str
+ ```
+
+
+
+ ```bash
+ bun run generate:api
+ ```
+
+ This updates the TypeScript client with type-safe bindings.
+
+
+
+ Add documentation in `/docs/api/`
+
+
+
+## Testing
+
+Currently testing is primarily manual. When adding tests:
+
+**Backend:**
+```bash
+cd backend
+pytest
+```
+
+**Frontend:**
+```bash
+bun run test
+```
+
+**E2E (future):**
+```bash
+bun run test:e2e
+```
+
+## Release Process
+
+Releases are managed by maintainers using `bumpversion`:
+
+```bash
+# Bump version (patch, minor, or major)
+bumpversion patch
+
+# Push with tags
+git push && git push --tags
+```
+
+GitHub Actions automatically builds and publishes releases when tags are pushed.
+
+## Community
+
+- **GitHub Issues:** Bug reports and feature requests
+- **GitHub Discussions:** General questions and ideas
+- **Discord:** Real-time chat (coming soon)
+
+## Recognition
+
+Contributors are recognized in:
+- [CHANGELOG.md](https://github.com/jamiepine/voicebox/blob/main/CHANGELOG.md)
+- GitHub contributor list
+- Release notes
+
+## License
+
+By contributing, you agree that your contributions will be licensed under the MIT License.
+
+## Questions?
+
+If you have questions:
+
+1. Check the [documentation](/overview/introduction)
+2. Search [existing issues](https://github.com/jamiepine/voicebox/issues)
+3. Open a new issue or discussion
+4. See [CONTRIBUTING.md](https://github.com/jamiepine/voicebox/blob/main/CONTRIBUTING.md) in the repo
+
+Thank you for contributing to Voicebox! 🎉
diff --git a/docs/developer/history.mdx b/docs/developer/history.mdx
new file mode 100644
index 00000000..28fe7faf
--- /dev/null
+++ b/docs/developer/history.mdx
@@ -0,0 +1,260 @@
+---
+title: "Generation History"
+description: "How generation history tracking works in Voicebox"
+---
+
+## Overview
+
+The history module tracks all generated audio, providing a searchable record of past generations. Each generation stores the text, settings, and a reference to the audio file.
+
+## Data Model
+
+### Generation Table
+
+```python
+class Generation(Base):
+ __tablename__ = "generations"
+
+ id = Column(String, primary_key=True)
+ profile_id = Column(String, ForeignKey("profiles.id"))
+ text = Column(Text, nullable=False)
+ language = Column(String, default="en")
+ audio_path = Column(String, nullable=False)
+ duration = Column(Float, nullable=False)
+ seed = Column(Integer)
+ instruct = Column(Text)
+ created_at = Column(DateTime)
+```
+
+## File Storage
+
+Generated audio is stored in:
+
+```
+data/
+└── generations/
+ └── {generation_id}.wav
+```
+
+## Core Functions
+
+### Creating a Generation Record
+
+After TTS generates audio, a history entry is created:
+
+```python
+async def create_generation(
+ profile_id: str,
+ text: str,
+ language: str,
+ audio_path: str,
+ duration: float,
+ seed: Optional[int],
+ db: Session,
+ instruct: Optional[str] = None,
+) -> GenerationResponse:
+ db_generation = DBGeneration(
+ id=str(uuid.uuid4()),
+ profile_id=profile_id,
+ text=text,
+ language=language,
+ audio_path=audio_path,
+ duration=duration,
+ seed=seed,
+ instruct=instruct,
+ created_at=datetime.utcnow(),
+ )
+
+ db.add(db_generation)
+ db.commit()
+
+ return GenerationResponse.model_validate(db_generation)
+```
+
+### Listing Generations
+
+Supports filtering and pagination:
+
+```python
+async def list_generations(
+ query: HistoryQuery,
+ db: Session,
+) -> HistoryListResponse:
+ # Build query with profile name join
+ q = db.query(
+ DBGeneration,
+ DBVoiceProfile.name.label('profile_name')
+ ).join(
+ DBVoiceProfile,
+ DBGeneration.profile_id == DBVoiceProfile.id
+ )
+
+ # Apply filters
+ if query.profile_id:
+ q = q.filter(DBGeneration.profile_id == query.profile_id)
+
+ if query.search:
+ q = q.filter(DBGeneration.text.like(f"%{query.search}%"))
+
+ # Order and paginate
+ total = q.count()
+ q = q.order_by(DBGeneration.created_at.desc())
+ q = q.offset(query.offset).limit(query.limit)
+
+ return HistoryListResponse(items=results, total=total)
+```
+
+### Getting Statistics
+
+Aggregate statistics for the dashboard:
+
+```python
+async def get_generation_stats(db: Session) -> dict:
+ total = db.query(func.count(DBGeneration.id)).scalar()
+ total_duration = db.query(func.sum(DBGeneration.duration)).scalar()
+
+ by_profile = db.query(
+ DBGeneration.profile_id,
+ func.count(DBGeneration.id).label('count')
+ ).group_by(DBGeneration.profile_id).all()
+
+ return {
+ "total_generations": total,
+ "total_duration_seconds": total_duration,
+ "generations_by_profile": {
+ profile_id: count for profile_id, count in by_profile
+ },
+ }
+```
+
+## Deletion
+
+Deleting a generation removes both the database record and audio file:
+
+```python
+async def delete_generation(generation_id: str, db: Session) -> bool:
+ generation = db.query(DBGeneration).filter_by(id=generation_id).first()
+ if not generation:
+ return False
+
+ # Delete audio file
+ audio_path = Path(generation.audio_path)
+ if audio_path.exists():
+ audio_path.unlink()
+
+ # Delete database record
+ db.delete(generation)
+ db.commit()
+
+ return True
+```
+
+### Cascade Delete
+
+When deleting a profile, all its generations are also deleted:
+
+```python
+async def delete_generations_by_profile(profile_id: str, db: Session) -> int:
+ generations = db.query(DBGeneration).filter_by(profile_id=profile_id).all()
+
+ for generation in generations:
+ Path(generation.audio_path).unlink(missing_ok=True)
+ db.delete(generation)
+
+ db.commit()
+ return len(generations)
+```
+
+## Export/Import
+
+### Exporting a Generation
+
+Generations can be exported as ZIP archives:
+
+```
+generation_export.zip
+├── generation.json # Metadata
+└── audio.wav # Audio file
+```
+
+### Importing a Generation
+
+The import process:
+
+1. Extract ZIP archive
+2. Validate metadata and audio
+3. Create new generation ID
+4. Copy audio to generations directory
+5. Create database record
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/history` | List generations with filters |
+| GET | `/history/stats` | Get aggregate statistics |
+| GET | `/history/{id}` | Get generation by ID |
+| DELETE | `/history/{id}` | Delete generation |
+| GET | `/history/{id}/export` | Export as ZIP |
+| GET | `/history/{id}/export-audio` | Export audio only |
+| POST | `/history/import` | Import from ZIP |
+
+### Query Parameters
+
+```
+GET /history?profile_id=uuid&search=hello&limit=50&offset=0
+```
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `profile_id` | string | null | Filter by profile |
+| `search` | string | null | Search in text |
+| `limit` | int | 50 | Results per page |
+| `offset` | int | 0 | Pagination offset |
+
+### Response Schema
+
+```json
+{
+ "items": [
+ {
+ "id": "uuid",
+ "profile_id": "uuid",
+ "profile_name": "My Voice",
+ "text": "Hello world",
+ "language": "en",
+ "audio_path": "/path/to/audio.wav",
+ "duration": 1.5,
+ "seed": 42,
+ "instruct": null,
+ "created_at": "2024-01-15T10:30:00Z"
+ }
+ ],
+ "total": 150
+}
+```
+
+## Usage in Stories
+
+Generations can be added to stories for multi-voice narratives. The story system references generations by ID:
+
+```python
+class StoryItem(Base):
+ generation_id = Column(String, ForeignKey("generations.id"))
+```
+
+This allows the same generation to be reused across multiple stories without duplicating audio files.
+
+## Storage Considerations
+
+### Disk Usage
+
+Each generation creates a WAV file. For a 10-second clip at 24kHz:
+- ~480KB per file (mono, 16-bit)
+
+### Cleanup Strategy
+
+Consider implementing:
+- Automatic cleanup of old generations
+- Storage quota per profile
+- Compression for archival
diff --git a/docs/developer/model-management.mdx b/docs/developer/model-management.mdx
new file mode 100644
index 00000000..ef9f6c1d
--- /dev/null
+++ b/docs/developer/model-management.mdx
@@ -0,0 +1,341 @@
+---
+title: "Model Management"
+description: "How model downloading, loading, and status tracking works in Voicebox"
+---
+
+## Overview
+
+Voicebox manages two types of models:
+
+**TTS Models:** Qwen3-TTS for voice cloning (0.6B and 1.7B variants).
+
+**ASR Models:** Whisper for transcription (tiny through large).
+
+Models are downloaded from HuggingFace Hub on first use and cached locally.
+
+## Available Models
+
+### TTS Models
+
+| Model | HuggingFace ID | Size | VRAM |
+|-------|----------------|------|------|
+| 0.6B | `Qwen/Qwen3-TTS-12Hz-0.6B-Base` | ~1.2GB | ~2GB |
+| 1.7B | `Qwen/Qwen3-TTS-12Hz-1.7B-Base` | ~3.4GB | ~6GB |
+
+### Whisper Models
+
+| Model | HuggingFace ID | Size | VRAM |
+|-------|----------------|------|------|
+| tiny | `openai/whisper-tiny` | ~150MB | ~1GB |
+| base | `openai/whisper-base` | ~300MB | ~1GB |
+| small | `openai/whisper-small` | ~500MB | ~2GB |
+| medium | `openai/whisper-medium` | ~1.5GB | ~5GB |
+| large | `openai/whisper-large` | ~3GB | ~10GB |
+
+## Model Storage
+
+Models are cached in the HuggingFace cache directory:
+
+```
+~/.cache/huggingface/hub/
+├── models--Qwen--Qwen3-TTS-12Hz-1.7B-Base/
+├── models--Qwen--Qwen3-TTS-12Hz-0.6B-Base/
+├── models--openai--whisper-base/
+└── ...
+```
+
+## Progress Tracking
+
+### Progress Manager
+
+Tracks download progress across all models:
+
+```python
+class ProgressManager:
+ def __init__(self):
+ self._progress = {} # model_name -> progress_info
+
+ def update_progress(
+ self,
+ model_name: str,
+ current: int,
+ total: int,
+ filename: str,
+ status: str,
+ ):
+ self._progress[model_name] = {
+ "current": current,
+ "total": total,
+ "filename": filename,
+ "status": status, # downloading, complete, error
+ "updated_at": datetime.utcnow(),
+ }
+
+ def get_progress(self, model_name: str) -> Optional[dict]:
+ return self._progress.get(model_name)
+```
+
+### HuggingFace Progress Callback
+
+Hooks into HuggingFace's download system:
+
+```python
+class HFProgressTracker:
+ def __init__(self, callback):
+ self.callback = callback
+
+ @contextmanager
+ def patch_download(self):
+ """Context manager to intercept HF downloads."""
+ original_download = hf_hub_download
+
+ def patched_download(*args, **kwargs):
+ # Intercept progress
+ result = original_download(*args, **kwargs)
+ self.callback(progress_info)
+ return result
+
+ # Apply patch
+ with patch('huggingface_hub.hf_hub_download', patched_download):
+ yield
+```
+
+### Server-Sent Events (SSE)
+
+Progress is streamed to the frontend:
+
+```python
+@app.get("/models/progress/{model_name}")
+async def get_model_progress(model_name: str):
+ async def event_generator():
+ while True:
+ progress = progress_manager.get_progress(model_name)
+ if progress:
+ yield f"data: {json.dumps(progress)}\n\n"
+
+ if progress and progress["status"] in ["complete", "error"]:
+ break
+
+ await asyncio.sleep(0.5)
+
+ return StreamingResponse(
+ event_generator(),
+ media_type="text/event-stream"
+ )
+```
+
+## Task Manager
+
+Tracks active downloads and generations:
+
+```python
+class TaskManager:
+ def __init__(self):
+ self._active_downloads = {}
+ self._active_generations = {}
+
+ def start_download(self, model_name: str):
+ self._active_downloads[model_name] = {
+ "status": "downloading",
+ "started_at": datetime.utcnow(),
+ }
+
+ def complete_download(self, model_name: str):
+ if model_name in self._active_downloads:
+ del self._active_downloads[model_name]
+
+ def get_active_tasks(self) -> dict:
+ return {
+ "downloads": list(self._active_downloads.values()),
+ "generations": list(self._active_generations.values()),
+ }
+```
+
+## Model Status
+
+Check which models are downloaded and loaded:
+
+```python
+@app.get("/models/status")
+async def get_model_status() -> ModelStatusListResponse:
+ models = []
+
+ # Check TTS models
+ for size, hf_id in [("1.7B", "Qwen/Qwen3-TTS-12Hz-1.7B-Base"), ...]:
+ downloaded = is_model_downloaded(hf_id)
+ loaded = tts_model._current_model_size == size
+
+ models.append(ModelStatus(
+ model_name=f"qwen-tts-{size}",
+ display_name=f"Qwen3-TTS {size}",
+ downloaded=downloaded,
+ size_mb=get_model_size_mb(hf_id),
+ loaded=loaded,
+ ))
+
+ # Check Whisper models
+ for size in ["tiny", "base", "small", "medium", "large"]:
+ hf_id = f"openai/whisper-{size}"
+ downloaded = is_model_downloaded(hf_id)
+
+ models.append(ModelStatus(
+ model_name=f"whisper-{size}",
+ display_name=f"Whisper {size}",
+ downloaded=downloaded,
+ size_mb=get_model_size_mb(hf_id),
+ loaded=False, # Whisper is loaded on-demand
+ ))
+
+ return ModelStatusListResponse(models=models)
+```
+
+## Manual Model Operations
+
+### Load Model
+
+```python
+@app.post("/models/load")
+async def load_model(model_size: str = "1.7B"):
+ tts_model = get_tts_model()
+ await tts_model.load_model_async(model_size)
+ return {"status": "loaded", "model_size": model_size}
+```
+
+### Unload Model
+
+```python
+@app.post("/models/unload")
+async def unload_model():
+ tts_model = get_tts_model()
+ tts_model.unload_model()
+ return {"status": "unloaded"}
+```
+
+### Trigger Download
+
+```python
+@app.post("/models/download")
+async def trigger_model_download(request: ModelDownloadRequest):
+ # This triggers the download in background
+ # Progress is tracked via /models/progress/{model_name}
+
+ if request.model_name.startswith("qwen-tts"):
+ size = request.model_name.split("-")[-1]
+ asyncio.create_task(download_tts_model(size))
+ elif request.model_name.startswith("whisper"):
+ size = request.model_name.split("-")[-1]
+ asyncio.create_task(download_whisper_model(size))
+
+ return {"status": "downloading"}
+```
+
+### Delete Model
+
+```python
+@app.delete("/models/{model_name}")
+async def delete_model(model_name: str):
+ # Find and delete from HuggingFace cache
+ cache_dir = Path.home() / ".cache" / "huggingface" / "hub"
+
+ model_dirs = list(cache_dir.glob(f"models--*--{model_name}*"))
+ for model_dir in model_dirs:
+ shutil.rmtree(model_dir)
+
+ return {"status": "deleted"}
+```
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/models/status` | Get status of all models |
+| POST | `/models/load` | Load TTS model |
+| POST | `/models/unload` | Unload TTS model |
+| POST | `/models/download` | Trigger model download |
+| GET | `/models/progress/{name}` | Stream download progress (SSE) |
+| DELETE | `/models/{name}` | Delete downloaded model |
+| GET | `/tasks/active` | Get active downloads/generations |
+
+## Response Schemas
+
+### ModelStatus
+
+```json
+{
+ "model_name": "qwen-tts-1.7B",
+ "display_name": "Qwen3-TTS 1.7B",
+ "downloaded": true,
+ "size_mb": 3400,
+ "loaded": true
+}
+```
+
+### ActiveTasksResponse
+
+```json
+{
+ "downloads": [
+ {
+ "model_name": "whisper-medium",
+ "status": "downloading",
+ "started_at": "2024-01-15T10:30:00Z"
+ }
+ ],
+ "generations": [
+ {
+ "task_id": "uuid",
+ "profile_id": "uuid",
+ "text_preview": "Hello world...",
+ "started_at": "2024-01-15T10:30:00Z"
+ }
+ ]
+}
+```
+
+## Frontend Integration
+
+### Progress Display
+
+```typescript
+// Subscribe to download progress via SSE
+const eventSource = new EventSource(`/models/progress/${modelName}`);
+
+eventSource.onmessage = (event) => {
+ const progress = JSON.parse(event.data);
+ updateProgressBar(progress.current / progress.total);
+
+ if (progress.status === 'complete') {
+ eventSource.close();
+ }
+};
+```
+
+### Model Status UI
+
+```typescript
+// Fetch model status
+const { data: models } = useQuery({
+ queryKey: ['models', 'status'],
+ queryFn: () => api.getModelStatus(),
+});
+
+// Display download/load buttons based on status
+models.map(model => (
+ triggerDownload(model.model_name)}
+ onLoad={() => loadModel(model.model_name)}
+ />
+));
+```
+
+## Error Handling
+
+| Error | Cause | Solution |
+|-------|-------|----------|
+| Download failed | Network issue | Retry download |
+| OOM on load | Model too large | Use smaller model |
+| Model not found | Cache corrupted | Re-download |
+| Slow download | HF rate limit | Wait and retry |
diff --git a/docs/developer/setup.mdx b/docs/developer/setup.mdx
new file mode 100644
index 00000000..b0737751
--- /dev/null
+++ b/docs/developer/setup.mdx
@@ -0,0 +1,242 @@
+---
+title: "Development Setup"
+description: "Set up your local development environment for Voicebox"
+---
+
+## Prerequisites
+
+Before you begin, ensure you have the following installed:
+
+
+
+ [Download Bun](https://bun.sh)
+ ```bash
+ curl -fsSL https://bun.sh/install | bash
+ ```
+
+
+ [Download Python](https://python.org)
+ ```bash
+ python --version
+ ```
+
+
+ [Install Rust](https://rustup.rs)
+ ```bash
+ rustc --version
+ ```
+
+
+
+## Clone the Repository
+
+```bash
+git clone https://github.com/jamiepine/voicebox.git
+cd voicebox
+```
+
+## Quick Setup (Recommended)
+
+The easiest way to get started is using the Makefile:
+
+```bash
+# Setup everything
+make setup
+
+# Start development
+make dev
+```
+
+
+ The Makefile is available on macOS and Linux. Windows users should follow the manual setup below.
+
+
+## Manual Setup
+
+### 1. Install JavaScript Dependencies
+
+```bash
+bun install
+```
+
+This installs dependencies for:
+- `app/` - Shared React frontend
+- `tauri/` - Tauri desktop wrapper
+- `web/` - Web deployment wrapper
+
+### 2. Set Up Python Backend
+
+```bash
+cd backend
+
+# Create virtual environment
+python -m venv venv
+
+# Activate virtual environment
+source venv/bin/activate # macOS/Linux
+# or
+venv\Scripts\activate # Windows
+
+# Install Python dependencies
+pip install -r requirements.txt
+
+# Install Qwen3-TTS
+pip install git+https://github.com/QwenLM/Qwen3-TTS.git
+```
+
+### 3. Initialize Database
+
+```bash
+cd backend
+python -c "from database import init_db; init_db()"
+```
+
+This creates the SQLite database at `data/voicebox.db`.
+
+## Running in Development
+
+Development requires **two terminals**: one for the Python backend, one for the Tauri app.
+
+
+
+ Start the Python server first:
+
+ ```bash
+ cd backend
+ source venv/bin/activate # Activate venv
+ bun run dev:server
+ ```
+
+ Or manually:
+ ```bash
+ uvicorn main:app --reload --port 17493
+ ```
+
+ Backend will be available at `http://localhost:17493`
+
+
+
+ Then start the Tauri app:
+
+ ```bash
+ bun run dev
+ ```
+
+ This will:
+ - Create a placeholder sidecar binary
+ - Start Vite dev server on port 5173
+ - Launch Tauri window
+ - Enable hot reload
+
+
+
+
+ In dev mode, the app connects to your manually-started Python server. The bundled server binary is only used in production builds.
+
+
+### Optional: Web App
+
+```bash
+bun run dev:web
+```
+
+Web app will be available at `http://localhost:5174`
+
+## Model Downloads
+
+Models are automatically downloaded from HuggingFace Hub on first use:
+
+- **Whisper** (transcription): Auto-downloads on first transcription
+- **Qwen3-TTS** (voice cloning): Auto-downloads on first generation (~2-4GB)
+
+
+ First-time usage will be slower due to model downloads, but subsequent runs will use cached models.
+
+
+## Project Structure
+
+```
+voicebox/
+├── app/ # Shared React frontend
+│ └── src/
+│ ├── components/ # UI components
+│ ├── lib/ # Utilities and API client
+│ └── hooks/ # React hooks
+├── backend/ # Python FastAPI server
+│ ├── main.py # API routes
+│ ├── tts.py # Voice synthesis
+│ └── database.py # SQLite operations
+├── tauri/ # Desktop app wrapper
+│ └── src-tauri/ # Rust backend
+├── web/ # Web deployment
+├── landing/ # Marketing website
+└── scripts/ # Build & release scripts
+```
+
+## Available Make Commands
+
+Run `make help` to see all available commands:
+
+```bash
+make setup # Install all dependencies
+make dev # Start development servers
+make dev-web # Start web development server
+make build # Build desktop app
+make build-web # Build web app
+make clean # Clean build artifacts
+make test # Run tests
+```
+
+## Generate OpenAPI Client
+
+After starting the backend server, generate the TypeScript API client:
+
+```bash
+./scripts/generate-api.sh
+# or
+bun run generate:api
+```
+
+This downloads the OpenAPI schema and generates the TypeScript client in `app/src/lib/api/`
+
+## Next Steps
+
+
+
+ Understand the system architecture
+
+
+ Read the contribution guidelines
+
+
+ Learn how to build production releases
+
+
+ Explore the REST API
+
+
+
+## Troubleshooting
+
+
+
+ - Check Python version (must be 3.11+)
+ - Ensure virtual environment is activated
+ - Verify all dependencies are installed: `pip install -r requirements.txt`
+ - Check if port 17493 is available
+
+
+
+ - Ensure Rust is installed: `rustc --version`
+ - Clean the build: `cd tauri/src-tauri && cargo clean`
+ - Try rebuilding: `bun run dev`
+
+
+
+ - Ensure backend is running: `curl http://localhost:17493/openapi.json`
+ - Check network connectivity
+ - Verify the backend is accessible at localhost:17493
+
+
+
+See the full [Troubleshooting Guide](/guides/troubleshooting) for more issues and solutions.
diff --git a/docs/developer/stories.mdx b/docs/developer/stories.mdx
new file mode 100644
index 00000000..8d812086
--- /dev/null
+++ b/docs/developer/stories.mdx
@@ -0,0 +1,320 @@
+---
+title: "Stories & Timeline"
+description: "How the multi-voice timeline editor works in Voicebox"
+---
+
+## Overview
+
+Stories allow users to arrange multiple voice generations on a timeline to create multi-voice narratives. The system supports tracks, trimming, splitting, and audio mixing.
+
+## Architecture
+
+**Story:** A container that holds story items with metadata.
+
+**Story Item:** Links a generation to a story with timeline position, track, and trim data.
+
+**Export:** Combines all items into a single mixed audio file.
+
+## Data Model
+
+### Story Table
+
+```python
+class Story(Base):
+ __tablename__ = "stories"
+
+ id = Column(String, primary_key=True)
+ name = Column(String, nullable=False)
+ description = Column(Text)
+ created_at = Column(DateTime)
+ updated_at = Column(DateTime)
+```
+
+### StoryItem Table
+
+```python
+class StoryItem(Base):
+ __tablename__ = "story_items"
+
+ id = Column(String, primary_key=True)
+ story_id = Column(String, ForeignKey("stories.id"))
+ generation_id = Column(String, ForeignKey("generations.id"))
+ start_time_ms = Column(Integer, default=0) # Timeline position
+ track = Column(Integer, default=0) # Track number
+ trim_start_ms = Column(Integer, default=0) # Trim from start
+ trim_end_ms = Column(Integer, default=0) # Trim from end
+ created_at = Column(DateTime)
+```
+
+## Timeline Concepts
+
+### Start Time
+
+`start_time_ms` defines when an item begins on the timeline:
+
+```
+Timeline (ms): 0----1000----2000----3000----4000
+Item 1: [======]
+Item 2: [==========]
+Item 3: [====]
+```
+
+### Tracks
+
+Multiple tracks allow overlapping audio:
+
+```
+Track 0: [Item 1] [Item 3]
+Track 1: [Item 2]
+```
+
+### Trimming
+
+Trim values cut audio from the start or end without destroying the original:
+
+```
+Original: [=========AUDIO=========]
+trim_start: ^^
+trim_end: ^^
+Result: [=====AUDIO=====]
+```
+
+## Core Operations
+
+### Adding Items
+
+When adding a generation to a story:
+
+```python
+async def add_item_to_story(
+ story_id: str,
+ data: StoryItemCreate,
+ db: Session,
+) -> StoryItemDetail:
+ # Calculate start time if not provided
+ if data.start_time_ms is None:
+ # Find the end of all existing items
+ existing_items = get_items_with_durations(story_id, db)
+ max_end_time_ms = max(
+ item.start_time_ms + int(gen.duration * 1000)
+ for item, gen in existing_items
+ )
+ start_time_ms = max_end_time_ms + 200 # 200ms gap
+
+ # Create the item
+ item = DBStoryItem(
+ id=str(uuid.uuid4()),
+ story_id=story_id,
+ generation_id=data.generation_id,
+ start_time_ms=start_time_ms,
+ track=data.track or 0,
+ )
+ db.add(item)
+ db.commit()
+```
+
+### Moving Items
+
+Update position and/or track:
+
+```python
+async def move_story_item(
+ story_id: str,
+ item_id: str,
+ data: StoryItemMove,
+ db: Session,
+) -> StoryItemDetail:
+ item = get_item(story_id, item_id, db)
+
+ item.start_time_ms = data.start_time_ms
+ item.track = data.track
+
+ db.commit()
+```
+
+### Trimming Items
+
+Non-destructive trimming:
+
+```python
+async def trim_story_item(
+ story_id: str,
+ item_id: str,
+ data: StoryItemTrim,
+ db: Session,
+) -> StoryItemDetail:
+ item = get_item(story_id, item_id, db)
+ generation = get_generation(item.generation_id, db)
+
+ # Validate trim doesn't exceed duration
+ max_duration_ms = int(generation.duration * 1000)
+ if data.trim_start_ms + data.trim_end_ms >= max_duration_ms:
+ return None # Invalid trim
+
+ item.trim_start_ms = data.trim_start_ms
+ item.trim_end_ms = data.trim_end_ms
+
+ db.commit()
+```
+
+### Splitting Items
+
+Split one item into two at a specific time:
+
+```python
+async def split_story_item(
+ story_id: str,
+ item_id: str,
+ data: StoryItemSplit,
+ db: Session,
+) -> List[StoryItemDetail]:
+ item = get_item(story_id, item_id, db)
+ generation = get_generation(item.generation_id, db)
+
+ # Calculate split point
+ current_trim_start = item.trim_start_ms
+ current_trim_end = item.trim_end_ms
+ original_duration_ms = int(generation.duration * 1000)
+ absolute_split_ms = current_trim_start + data.split_time_ms
+
+ # Update original: trim from end
+ item.trim_end_ms = original_duration_ms - absolute_split_ms
+
+ # Create new item: trim from start
+ new_item = DBStoryItem(
+ generation_id=item.generation_id, # Same generation
+ start_time_ms=item.start_time_ms + data.split_time_ms,
+ track=item.track,
+ trim_start_ms=absolute_split_ms,
+ trim_end_ms=current_trim_end,
+ )
+
+ db.add(new_item)
+ db.commit()
+
+ return [item, new_item]
+```
+
+### Duplicating Items
+
+Create a copy with all properties:
+
+```python
+async def duplicate_story_item(
+ story_id: str,
+ item_id: str,
+ db: Session,
+) -> StoryItemDetail:
+ original = get_item(story_id, item_id, db)
+ generation = get_generation(original.generation_id, db)
+
+ # Calculate effective duration for positioning
+ effective_duration_ms = (
+ int(generation.duration * 1000)
+ - original.trim_start_ms
+ - original.trim_end_ms
+ )
+
+ # Place copy after original with 200ms gap
+ new_item = DBStoryItem(
+ generation_id=original.generation_id,
+ start_time_ms=original.start_time_ms + effective_duration_ms + 200,
+ track=original.track,
+ trim_start_ms=original.trim_start_ms,
+ trim_end_ms=original.trim_end_ms,
+ )
+
+ db.add(new_item)
+ db.commit()
+```
+
+## Audio Export
+
+### Mixing Algorithm
+
+The export function mixes all items into a single audio file:
+
+```python
+async def export_story_audio(story_id: str, db: Session) -> bytes:
+ items = get_all_items_with_generations(story_id, db)
+
+ # Calculate total duration
+ max_end_time_ms = max(
+ data['start_time_ms'] + data['duration_ms']
+ for data in audio_data
+ )
+
+ # Create output buffer
+ total_samples = int((max_end_time_ms / 1000.0) * sample_rate)
+ final_audio = np.zeros(total_samples, dtype=np.float32)
+
+ # Mix each item at its position
+ for data in audio_data:
+ audio = data['audio']
+ start_sample = int((data['start_time_ms'] / 1000.0) * sample_rate)
+
+ # Apply trim
+ trimmed_audio = audio[trim_start_sample:len(audio) - trim_end_sample]
+
+ # Add to buffer (overlapping items sum together)
+ final_audio[start_sample:start_sample + len(trimmed_audio)] += trimmed_audio
+
+ # Normalize to prevent clipping
+ max_val = np.abs(final_audio).max()
+ if max_val > 1.0:
+ final_audio = final_audio / max_val
+
+ return audio_to_bytes(final_audio, sample_rate)
+```
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/stories` | List all stories |
+| POST | `/stories` | Create a story |
+| GET | `/stories/{id}` | Get story with items |
+| PUT | `/stories/{id}` | Update story metadata |
+| DELETE | `/stories/{id}` | Delete story |
+| POST | `/stories/{id}/items` | Add item to story |
+| DELETE | `/stories/{id}/items/{item_id}` | Remove item |
+| PUT | `/stories/{id}/items/{item_id}/move` | Move item |
+| PUT | `/stories/{id}/items/{item_id}/trim` | Trim item |
+| POST | `/stories/{id}/items/{item_id}/split` | Split item |
+| POST | `/stories/{id}/items/{item_id}/duplicate` | Duplicate item |
+| PUT | `/stories/{id}/items/times` | Batch update times |
+| PUT | `/stories/{id}/items/reorder` | Reorder items |
+| GET | `/stories/{id}/export-audio` | Export mixed audio |
+
+## Response Schemas
+
+### StoryItemDetail
+
+```json
+{
+ "id": "item_uuid",
+ "story_id": "story_uuid",
+ "generation_id": "generation_uuid",
+ "start_time_ms": 1500,
+ "track": 0,
+ "trim_start_ms": 200,
+ "trim_end_ms": 100,
+ "profile_id": "profile_uuid",
+ "profile_name": "Narrator",
+ "text": "Hello world",
+ "audio_path": "/path/to/audio.wav",
+ "duration": 2.5,
+ "created_at": "2024-01-15T10:30:00Z"
+}
+```
+
+## Frontend Integration
+
+The timeline UI needs to:
+
+1. **Fetch story** with all items
+2. **Render waveforms** for each item
+3. **Handle drag/drop** to move items
+4. **Handle edge drag** for trimming
+5. **Sync playhead** across all tracks
+6. **Export** when user clicks download
diff --git a/docs/developer/transcription.mdx b/docs/developer/transcription.mdx
new file mode 100644
index 00000000..4eee2b91
--- /dev/null
+++ b/docs/developer/transcription.mdx
@@ -0,0 +1,299 @@
+---
+title: "Transcription"
+description: "How Whisper-based audio transcription works in Voicebox"
+---
+
+## Overview
+
+Voicebox uses OpenAI's Whisper model for automatic speech recognition (ASR). This powers the transcription feature for creating reference text from audio recordings.
+
+## Architecture
+
+The transcription system is built around the `WhisperModel` class:
+
+**Model Loading:** Lazy loading with HuggingFace Hub download.
+
+**Audio Processing:** Resampling and preprocessing for Whisper.
+
+**Inference:** Running transcription with optional language hints.
+
+## WhisperModel Class
+
+```python
+class WhisperModel:
+ def __init__(self, model_size: str = "base"):
+ self.model = None
+ self.processor = None
+ self.model_size = model_size
+ self.device = self._get_device()
+```
+
+### Model Sizes
+
+| Size | Parameters | VRAM | Speed | Quality |
+|------|------------|------|-------|---------|
+| tiny | 39M | ~1GB | Fastest | Basic |
+| base | 74M | ~1GB | Fast | Good |
+| small | 244M | ~2GB | Medium | Better |
+| medium | 769M | ~5GB | Slow | High |
+| large | 1550M | ~10GB | Slowest | Best |
+
+Default is `base` for balance of speed and quality.
+
+## Model Loading
+
+Models are downloaded from HuggingFace Hub:
+
+```python
+def load_model(self, model_size: Optional[str] = None):
+ from transformers import WhisperProcessor, WhisperForConditionalGeneration
+
+ model_name = f"openai/whisper-{model_size}"
+
+ # Track download progress
+ progress_manager = get_progress_manager()
+ task_manager = get_task_manager()
+ task_manager.start_download(f"whisper-{model_size}")
+
+ # Load processor and model
+ with tracker.patch_download():
+ self.processor = WhisperProcessor.from_pretrained(model_name)
+ self.model = WhisperForConditionalGeneration.from_pretrained(model_name)
+
+ self.model.to(self.device)
+
+ # Mark complete
+ progress_manager.mark_complete(f"whisper-{model_size}")
+ task_manager.complete_download(f"whisper-{model_size}")
+```
+
+### Async Loading
+
+Like TTS, loading runs in a thread pool:
+
+```python
+async def load_model_async(self, model_size: Optional[str] = None):
+ if self.model is not None and self.model_size == model_size:
+ return
+ await asyncio.to_thread(self.load_model, model_size)
+```
+
+## Transcription
+
+### Basic Transcription
+
+```python
+async def transcribe(
+ self,
+ audio_path: str,
+ language: Optional[str] = None,
+) -> str:
+ await self.load_model_async()
+
+ def _transcribe_sync():
+ # Load and resample to 16kHz (Whisper requirement)
+ audio, sr = load_audio(audio_path, sample_rate=16000)
+
+ # Process audio
+ inputs = self.processor(
+ audio,
+ sampling_rate=16000,
+ return_tensors="pt",
+ )
+ inputs = inputs.to(self.device)
+
+ # Set language hint if provided
+ forced_decoder_ids = None
+ if language:
+ forced_decoder_ids = self.processor.get_decoder_prompt_ids(
+ language=language,
+ task="transcribe",
+ )
+
+ # Generate
+ with torch.no_grad():
+ predicted_ids = self.model.generate(
+ inputs["input_features"],
+ forced_decoder_ids=forced_decoder_ids,
+ )
+
+ # Decode
+ transcription = self.processor.batch_decode(
+ predicted_ids,
+ skip_special_tokens=True,
+ )[0]
+
+ return transcription.strip()
+
+ return await asyncio.to_thread(_transcribe_sync)
+```
+
+### Supported Languages
+
+Whisper supports 99+ languages. Common ones in Voicebox:
+
+| Code | Language |
+|------|----------|
+| en | English |
+| zh | Chinese |
+| ja | Japanese |
+| ko | Korean |
+| de | German |
+| fr | French |
+| ru | Russian |
+| pt | Portuguese |
+| es | Spanish |
+| it | Italian |
+
+### Language Detection
+
+When no language is specified, Whisper auto-detects:
+
+```python
+# Without language hint - auto-detect
+transcription = await whisper.transcribe(audio_path)
+
+# With language hint - more accurate for short clips
+transcription = await whisper.transcribe(audio_path, language="en")
+```
+
+## Transcription with Timestamps
+
+For advanced use cases, word-level timestamps are available:
+
+```python
+async def transcribe_with_timestamps(
+ self,
+ audio_path: str,
+ language: Optional[str] = None,
+) -> List[Dict[str, any]]:
+ await self.load_model_async()
+
+ def _transcribe_timestamps_sync():
+ audio, sr = load_audio(audio_path, sample_rate=16000)
+ inputs = self.processor(audio, sampling_rate=16000, return_tensors="pt")
+
+ with torch.no_grad():
+ predicted_ids = self.model.generate(
+ inputs["input_features"],
+ return_timestamps=True,
+ )
+
+ # Parse timestamps
+ return [
+ {
+ "text": transcription,
+ "start": 0.0,
+ "end": len(audio) / sr,
+ }
+ ]
+
+ return await asyncio.to_thread(_transcribe_timestamps_sync)
+```
+
+## Memory Management
+
+### Unloading
+
+Free memory when not needed:
+
+```python
+def unload_model(self):
+ if self.model is not None:
+ del self.model
+ del self.processor
+ self.model = None
+ self.processor = None
+
+ if torch.cuda.is_available():
+ torch.cuda.empty_cache()
+```
+
+### Global Instance
+
+A singleton pattern manages the model:
+
+```python
+_whisper_model: Optional[WhisperModel] = None
+
+def get_whisper_model() -> WhisperModel:
+ global _whisper_model
+ if _whisper_model is None:
+ _whisper_model = WhisperModel()
+ return _whisper_model
+```
+
+## Audio Preprocessing
+
+### Resampling
+
+Whisper requires 16kHz audio:
+
+```python
+audio, sr = load_audio(audio_path, sample_rate=16000)
+```
+
+### Format Support
+
+The `load_audio` utility handles:
+- WAV
+- MP3
+- FLAC
+- OGG
+- M4A
+
+All formats are converted to mono 16kHz.
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| POST | `/transcribe` | Transcribe audio file |
+
+### Request
+
+Multipart form data:
+
+```
+POST /transcribe
+Content-Type: multipart/form-data
+
+file:
+language: en (optional)
+```
+
+### Response
+
+```json
+{
+ "text": "Hello, this is a test transcription.",
+ "duration": 3.5
+}
+```
+
+## Use Cases
+
+### Reference Text for Voice Cloning
+
+1. User records audio sample
+2. Audio is sent to `/transcribe`
+3. Transcription becomes `reference_text`
+4. Both are added to voice profile
+
+### Quality Tips
+
+- Provide language hint for short audio
+- Use clean audio with minimal noise
+- Longer audio (>5s) improves accuracy
+- Consider `small` or `medium` model for better quality
+
+## Error Handling
+
+Common issues:
+
+| Error | Cause | Solution |
+|-------|-------|----------|
+| Model not found | First run, download failed | Retry with network |
+| OOM | Model too large | Use smaller model |
+| Empty result | No speech detected | Check audio has speech |
+| Wrong language | Auto-detect failed | Provide language hint |
diff --git a/docs/developer/tts-generation.mdx b/docs/developer/tts-generation.mdx
new file mode 100644
index 00000000..3636d33b
--- /dev/null
+++ b/docs/developer/tts-generation.mdx
@@ -0,0 +1,283 @@
+---
+title: "TTS Generation"
+description: "How text-to-speech generation works in Voicebox"
+---
+
+## Overview
+
+Voicebox uses Qwen3-TTS for voice cloning and text-to-speech generation. The TTS module handles model loading, voice prompt creation, and audio synthesis.
+
+## Architecture
+
+The TTS system is built around the `TTSModel` class which manages:
+
+**Model Loading:** Lazy loading with automatic HuggingFace Hub download.
+
+**Voice Prompts:** Converting reference audio into embeddings.
+
+**Generation:** Synthesizing speech from text using voice prompts.
+
+## TTSModel Class
+
+```python
+class TTSModel:
+ def __init__(self, model_size: str = "1.7B"):
+ self.model = None
+ self.model_size = model_size
+ self.device = self._get_device() # cuda, mps, or cpu
+```
+
+### Device Selection
+
+The model automatically selects the best available device:
+
+```python
+def _get_device(self) -> str:
+ if torch.cuda.is_available():
+ return "cuda"
+ elif hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+ return "cpu" # MPS can have issues, use CPU for stability
+ return "cpu"
+```
+
+## Model Loading
+
+Models are downloaded from HuggingFace Hub on first use:
+
+```python
+def load_model(self, model_size: Optional[str] = None):
+ # Model IDs on HuggingFace Hub
+ hf_model_map = {
+ "1.7B": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
+ "0.6B": "Qwen/Qwen3-TTS-12Hz-0.6B-Base",
+ }
+
+ # Load with progress tracking
+ with tracker.patch_download():
+ self.model = Qwen3TTSModel.from_pretrained(
+ model_path,
+ device_map=self.device,
+ torch_dtype=torch.bfloat16, # float32 on CPU
+ )
+```
+
+### Async Loading
+
+Loading runs in a thread pool to avoid blocking the event loop:
+
+```python
+async def load_model_async(self, model_size: Optional[str] = None):
+ if self.model is not None and self._current_model_size == model_size:
+ return
+ await asyncio.to_thread(self.load_model, model_size)
+```
+
+## Voice Prompt Creation
+
+Voice prompts are created from reference audio and cached for reuse:
+
+```python
+async def create_voice_prompt(
+ self,
+ audio_path: str,
+ reference_text: str,
+ use_cache: bool = True,
+) -> Tuple[dict, bool]:
+ await self.load_model_async()
+
+ # Check cache
+ if use_cache:
+ cache_key = get_cache_key(audio_path, reference_text)
+ cached = get_cached_voice_prompt(cache_key)
+ if cached:
+ return cached, True
+
+ # Create prompt (blocking, run in thread pool)
+ voice_prompt = await asyncio.to_thread(
+ self.model.create_voice_clone_prompt,
+ ref_audio=audio_path,
+ ref_text=reference_text,
+ )
+
+ # Cache the result
+ cache_voice_prompt(cache_key, voice_prompt)
+ return voice_prompt, False
+```
+
+### Combining Multiple Samples
+
+When a profile has multiple samples, they're combined:
+
+```python
+async def combine_voice_prompts(
+ self,
+ audio_paths: List[str],
+ reference_texts: List[str],
+) -> Tuple[np.ndarray, str]:
+ combined_audio = []
+
+ for audio_path in audio_paths:
+ audio, sr = load_audio(audio_path)
+ audio = normalize_audio(audio)
+ combined_audio.append(audio)
+
+ # Concatenate and normalize
+ mixed = np.concatenate(combined_audio)
+ mixed = normalize_audio(mixed)
+
+ # Combine texts
+ combined_text = " ".join(reference_texts)
+
+ return mixed, combined_text
+```
+
+## Speech Generation
+
+The core generation function:
+
+```python
+async def generate(
+ self,
+ text: str,
+ voice_prompt: dict,
+ language: str = "en",
+ seed: Optional[int] = None,
+ instruct: Optional[str] = None,
+) -> Tuple[np.ndarray, int]:
+ await self.load_model_async()
+
+ def _generate_sync():
+ # Set seed for reproducibility
+ if seed is not None:
+ torch.manual_seed(seed)
+
+ # Generate audio
+ wavs, sample_rate = self.model.generate_voice_clone(
+ text=text,
+ voice_clone_prompt=voice_prompt,
+ instruct=instruct, # Natural language delivery control
+ )
+ return wavs[0], sample_rate
+
+ # Run in thread pool
+ return await asyncio.to_thread(_generate_sync)
+```
+
+### Instruct Feature
+
+The `instruct` parameter allows natural language control over speech delivery:
+
+```python
+# Examples:
+instruct = "Speak slowly and clearly"
+instruct = "Sound excited and enthusiastic"
+instruct = "Whisper softly"
+```
+
+## Caching Strategy
+
+Voice prompts are cached to avoid recomputation:
+
+```python
+def get_cache_key(audio_path: str, reference_text: str) -> str:
+ """Generate cache key from audio hash and text."""
+ audio_hash = hashlib.md5(Path(audio_path).read_bytes()).hexdigest()
+ text_hash = hashlib.md5(reference_text.encode()).hexdigest()
+ return f"{audio_hash}_{text_hash}"
+```
+
+Cache is stored in `data/cache/voice_prompts/`.
+
+## Memory Management
+
+### Unloading Models
+
+Free VRAM/RAM when not needed:
+
+```python
+def unload_model(self):
+ if self.model is not None:
+ del self.model
+ self.model = None
+
+ if torch.cuda.is_available():
+ torch.cuda.empty_cache()
+```
+
+### Model Switching
+
+When switching between model sizes (1.7B ↔ 0.6B):
+
+```python
+# Unload existing model first
+if self.model is not None and self._current_model_size != model_size:
+ self.unload_model()
+```
+
+## Generation Flow
+
+1. **Request** → Validate text and profile ID
+2. **Profile** → Load profile samples from database
+3. **Voice Prompt** → Create or retrieve cached prompt
+4. **Generate** → Run TTS inference
+5. **Save** → Write audio to generations directory
+6. **Record** → Create history entry in database
+7. **Response** → Return audio path and metadata
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| POST | `/generate` | Generate speech from text |
+| GET | `/audio/{id}` | Serve generated audio file |
+
+### Request Schema
+
+```json
+{
+ "profile_id": "uuid",
+ "text": "Text to synthesize",
+ "language": "en",
+ "seed": 42,
+ "model_size": "1.7B",
+ "instruct": "Speak clearly"
+}
+```
+
+### Response Schema
+
+```json
+{
+ "id": "generation_uuid",
+ "profile_id": "profile_uuid",
+ "text": "Text to synthesize",
+ "language": "en",
+ "audio_path": "/path/to/audio.wav",
+ "duration": 3.5,
+ "seed": 42,
+ "instruct": "Speak clearly",
+ "created_at": "2024-01-15T10:30:00Z"
+}
+```
+
+## Performance Considerations
+
+### GPU Acceleration
+
+- CUDA provides fastest inference
+- MPS (Apple Silicon) has stability issues, uses CPU fallback
+- CPU inference is slower but always works
+
+### Batch Size
+
+Currently generates one utterance at a time. For long texts, consider:
+- Splitting into sentences
+- Sequential generation
+- Concatenating results
+
+### Memory Usage
+
+| Model | VRAM/RAM Required |
+|-------|-------------------|
+| 0.6B | ~2GB |
+| 1.7B | ~6GB |
diff --git a/docs/developer/voice-profiles.mdx b/docs/developer/voice-profiles.mdx
new file mode 100644
index 00000000..6be6aad9
--- /dev/null
+++ b/docs/developer/voice-profiles.mdx
@@ -0,0 +1,202 @@
+---
+title: "Voice Profiles"
+description: "How voice profile management works in Voicebox"
+---
+
+## Overview
+
+Voice profiles are the foundation of Voicebox's voice cloning capability. Each profile stores reference audio samples and metadata that the TTS model uses to clone a voice.
+
+## Architecture
+
+The voice profile system consists of three main components:
+
+**Database Layer:** SQLite tables store profile metadata and sample references.
+
+**File Storage:** Audio samples are stored on disk in a structured directory format.
+
+**Profile Module:** The `profiles.py` module provides the business logic for CRUD operations.
+
+## Data Model
+
+### VoiceProfile Table
+
+```python
+class VoiceProfile(Base):
+ __tablename__ = "profiles"
+
+ id = Column(String, primary_key=True)
+ name = Column(String, unique=True, nullable=False)
+ description = Column(Text)
+ language = Column(String, default="en")
+ created_at = Column(DateTime)
+ updated_at = Column(DateTime)
+```
+
+### ProfileSample Table
+
+```python
+class ProfileSample(Base):
+ __tablename__ = "profile_samples"
+
+ id = Column(String, primary_key=True)
+ profile_id = Column(String, ForeignKey("profiles.id"))
+ audio_path = Column(String, nullable=False)
+ reference_text = Column(Text, nullable=False)
+```
+
+## File Structure
+
+Profiles are stored in the data directory:
+
+```
+data/
+└── profiles/
+ └── {profile_id}/
+ ├── {sample_id_1}.wav
+ ├── {sample_id_2}.wav
+ └── ...
+```
+
+## Core Functions
+
+### Creating a Profile
+
+```python
+async def create_profile(data: VoiceProfileCreate, db: Session) -> VoiceProfileResponse:
+ # 1. Create database record
+ db_profile = DBVoiceProfile(
+ id=str(uuid.uuid4()),
+ name=data.name,
+ description=data.description,
+ language=data.language,
+ )
+ db.add(db_profile)
+ db.commit()
+
+ # 2. Create profile directory
+ profile_dir = profiles_dir / db_profile.id
+ profile_dir.mkdir(parents=True, exist_ok=True)
+
+ return VoiceProfileResponse.model_validate(db_profile)
+```
+
+### Adding Samples
+
+When a sample is added, the audio is validated and copied to the profile directory:
+
+```python
+async def add_profile_sample(
+ profile_id: str,
+ audio_path: str,
+ reference_text: str,
+ db: Session,
+) -> ProfileSampleResponse:
+ # 1. Validate audio (duration, format, quality)
+ is_valid, error_msg = validate_reference_audio(audio_path)
+ if not is_valid:
+ raise ValueError(f"Invalid reference audio: {error_msg}")
+
+ # 2. Copy to profile directory
+ sample_id = str(uuid.uuid4())
+ dest_path = profile_dir / f"{sample_id}.wav"
+ audio, sr = load_audio(audio_path)
+ save_audio(audio, str(dest_path), sr)
+
+ # 3. Create database record
+ db_sample = DBProfileSample(
+ id=sample_id,
+ profile_id=profile_id,
+ audio_path=str(dest_path),
+ reference_text=reference_text,
+ )
+ db.add(db_sample)
+ db.commit()
+```
+
+### Voice Prompt Creation
+
+When generating speech, samples are combined into a voice prompt:
+
+```python
+async def create_voice_prompt_for_profile(
+ profile_id: str,
+ db: Session,
+) -> dict:
+ samples = db.query(DBProfileSample).filter_by(profile_id=profile_id).all()
+
+ if len(samples) == 1:
+ # Single sample - use directly
+ voice_prompt, _ = await tts_model.create_voice_prompt(
+ sample.audio_path,
+ sample.reference_text,
+ )
+ else:
+ # Multiple samples - combine them
+ combined_audio, combined_text = await tts_model.combine_voice_prompts(
+ [s.audio_path for s in samples],
+ [s.reference_text for s in samples],
+ )
+ voice_prompt, _ = await tts_model.create_voice_prompt(
+ combined_audio_path,
+ combined_text,
+ )
+
+ return voice_prompt
+```
+
+## Audio Validation
+
+Reference audio is validated before being accepted:
+
+- **Duration:** 3-30 seconds recommended
+- **Format:** WAV, MP3, FLAC, OGG supported
+- **Sample Rate:** Resampled to 24kHz
+- **Channels:** Converted to mono if stereo
+
+## Export/Import
+
+Profiles can be exported as ZIP archives for sharing:
+
+```
+profile_export.zip
+├── profile.json # Metadata
+├── samples/
+│ ├── sample_1.wav
+│ └── sample_1.json # Reference text
+└── ...
+```
+
+## API Endpoints
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/profiles` | List all profiles |
+| POST | `/profiles` | Create a profile |
+| GET | `/profiles/{id}` | Get profile by ID |
+| PUT | `/profiles/{id}` | Update profile |
+| DELETE | `/profiles/{id}` | Delete profile |
+| GET | `/profiles/{id}/samples` | Get profile samples |
+| POST | `/profiles/{id}/samples` | Add sample to profile |
+| PUT | `/profiles/samples/{id}` | Update sample text |
+| DELETE | `/profiles/samples/{id}` | Delete sample |
+| GET | `/profiles/{id}/export` | Export as ZIP |
+| POST | `/profiles/import` | Import from ZIP |
+
+## Best Practices
+
+### Sample Quality
+
+- Use clean audio with minimal background noise
+- Ensure the reference text exactly matches what is spoken
+- Multiple samples (3-5) improve voice cloning quality
+
+### Language Matching
+
+- Set the profile language to match the reference audio
+- Supported languages: en, zh, ja, ko, de, fr, ru, pt, es, it
+
+### Naming Conventions
+
+- Use descriptive names that identify the voice
+- Avoid special characters that may cause filesystem issues
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+++ b/docs/mint.json
@@ -0,0 +1,102 @@
+{
+ "$schema": "https://mintlify.com/schema.json",
+ "name": "Voicebox",
+ "logo": {
+ "light": "/logo/icon-light.png",
+ "dark": "/logo/icon-dark.png"
+ },
+ "favicon": "/favicon.png",
+ "colors": {
+ "primary": "#BF9E40",
+ "light": "#D4B560",
+ "dark": "#A68A35"
+ },
+ "styles": {
+ "css": ["/custom.css"]
+ },
+ "anchors": [
+ {
+ "name": "Overview",
+ "icon": "book-open",
+ "url": "overview"
+ },
+ {
+ "name": "API",
+ "icon": "code",
+ "url": "api"
+ },
+ {
+ "name": "Developer",
+ "icon": "book-open-cover",
+ "url": "developer"
+ },
+ {
+ "name": "GitHub",
+ "icon": "github",
+ "url": "https://github.com/jamiepine/voicebox"
+ }
+ ],
+ "navigation": [
+ {
+ "group": "Getting Started",
+ "icon": "rocket",
+ "pages": ["overview/introduction", "overview/installation", "overview/quick-start"]
+ },
+ {
+ "group": "Features",
+ "icon": "sparkles",
+ "pages": [
+ "overview/voice-cloning",
+ "overview/stories-editor",
+ "overview/recording-transcription",
+ "overview/generation-history",
+ "overview/remote-mode"
+ ]
+ },
+ {
+ "group": "User Guides",
+ "icon": "compass",
+ "pages": [
+ "overview/creating-voice-profiles",
+ "overview/generating-speech",
+ "overview/building-stories",
+ "overview/troubleshooting"
+ ]
+ },
+ {
+ "group": "Development",
+ "icon": "wrench",
+ "pages": [
+ "developer/setup",
+ "developer/architecture",
+ "developer/contributing",
+ "developer/building",
+ "developer/autoupdater"
+ ]
+ },
+ {
+ "group": "API Reference",
+ "icon": "code",
+ "pages": [
+ "api/overview",
+ "api/authentication",
+ "api/voice-profiles",
+ "api/generation",
+ "api/recordings"
+ ]
+ },
+ {
+ "group": "Architecture",
+ "icon": "book-open-cover",
+ "pages": [
+ "developer/voice-profiles",
+ "developer/tts-generation",
+ "developer/history",
+ "developer/stories",
+ "developer/transcription",
+ "developer/audio-channels",
+ "developer/model-management"
+ ]
+ }
+ ]
+}
diff --git a/docs/overview/building-stories.mdx b/docs/overview/building-stories.mdx
new file mode 100644
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--- /dev/null
+++ b/docs/overview/building-stories.mdx
@@ -0,0 +1,37 @@
+---
+title: "Building Stories"
+description: "Create multi-voice narratives with the Stories Editor"
+---
+
+## Getting Started
+
+The Stories Editor is perfect for creating podcasts, audiobooks, and multi-speaker content.
+
+
+
+ **Stories** → **+ New Story**
+
+
+ Create tracks for each speaker
+
+
+ Generate or drag audio to tracks
+
+
+ Position and trim clips on timeline
+
+
+ Render final audio
+
+
+
+## Use Cases
+
+- Multi-host podcasts
+- Audiobook narration with character voices
+- Game dialogue scenes
+- Educational content with multiple speakers
+
+## Coming Soon
+
+Full timeline editor documentation will be added as features are finalized.
diff --git a/docs/overview/creating-voice-profiles.mdx b/docs/overview/creating-voice-profiles.mdx
new file mode 100644
index 00000000..84e1194d
--- /dev/null
+++ b/docs/overview/creating-voice-profiles.mdx
@@ -0,0 +1,296 @@
+---
+title: "Creating Voice Profiles"
+description: "Advanced guide to creating high-quality voice profiles"
+---
+
+## Overview
+
+Voice profiles are the foundation of voice cloning in Voicebox. This guide covers best practices for creating professional-quality voice profiles.
+
+## Quick Start
+
+
+
+ 10-30 seconds of clear speech
+
+
+ **Profiles** → **+ New Profile**
+
+
+ Add your audio file
+
+
+ Use the profile to generate speech
+
+
+
+## Audio Requirements
+
+### Ideal Sample Characteristics
+
+
+
+ **10-30 seconds**
+
+ Too short: Poor quality
+ Too long: Unnecessary
+
+
+ **Clear speech**
+
+ No background noise
+ No music or overlapping voices
+
+
+ **High fidelity**
+
+ 44.1kHz or 48kHz sample rate
+ Minimal compression
+
+
+ **Natural speech**
+
+ Conversational tone
+ Complete sentences
+
+
+
+### File Formats
+
+Supported formats:
+- **WAV** (recommended) - Lossless quality
+- **MP3** - Acceptable, minimal compression
+- **M4A** - Acceptable
+- **FLAC** - Lossless alternative
+
+
+ Use WAV for best results. Avoid heavily compressed formats.
+
+
+## Recording Tips
+
+### Environment
+
+
+
+ - Record in a quiet room
+ - Turn off fans, AC, appliances
+ - Close windows to reduce outside noise
+ - Use soft furnishings to reduce echo
+
+
+
+ - 6-12 inches from mouth
+ - Slight angle to reduce plosives (p, b, t)
+ - Use a pop filter if available
+ - Maintain consistent distance
+
+
+
+ - 44.1kHz or 48kHz sample rate
+ - 16-bit or 24-bit depth
+ - Mono is fine (stereo will be converted)
+ - Avoid automatic gain control
+
+
+
+### Speaking
+
+- **Natural pace** - Don't rush or speak too slowly
+- **Clear articulation** - Pronounce words clearly
+- **Consistent volume** - Maintain steady loudness
+- **Normal tone** - Speak as you normally would
+- **Complete sentences** - Avoid fragments or "ums"
+
+## Multiple Samples
+
+Adding multiple samples can significantly improve quality:
+
+### Why Multiple Samples?
+
+
+
+ Model learns a more complete representation
+
+
+ Handles different speaking styles better
+
+
+ Reduces artifacts and improves naturalness
+
+
+ More reliable across different texts
+
+
+
+### Sample Variety
+
+Consider adding samples with:
+
+1. **Different tones**
+ - Casual conversation
+ - Professional/formal
+ - Excited/enthusiastic
+ - Calm/serious
+
+2. **Different content**
+ - Narratives
+ - Questions
+ - Statements
+ - Emotions (happy, sad, neutral)
+
+3. **Different recording conditions**
+ - Studio quality
+ - Phone call quality (if needed)
+ - Room acoustics
+
+
+ All samples should be from the **same speaker**. Mixing voices will produce poor results.
+
+
+## Processing Existing Audio
+
+If you have existing audio (podcasts, videos, etc.):
+
+### Extracting Clean Segments
+
+
+
+ Look for segments with:
+ - Just the target speaker
+ - No background music
+ - Minimal noise
+
+
+
+ Tools like Audacity or Adobe Audition:
+ - Cut out clean 10-30s segments
+ - Remove silence at start/end
+ - Normalize volume if needed
+
+
+
+ Save as high-quality WAV file
+
+
+
+### Noise Reduction
+
+If you have light background noise:
+
+```
+1. Use noise reduction in Audacity:
+ - Select noise-only section
+ - Get Noise Profile
+ - Select full audio
+ - Apply noise reduction (gentle settings)
+
+2. Avoid over-processing:
+ - Can introduce artifacts
+ - May reduce voice quality
+```
+
+## Testing & Iteration
+
+### Test Your Profile
+
+After creating a profile:
+
+
+
+ Generate a simple phrase:
+ ```
+ "Hello, this is a test of my voice profile."
+ ```
+
+
+
+ Listen for:
+ - Natural tone
+ - Clear pronunciation
+ - Proper prosody
+ - Lack of artifacts
+
+
+
+ If quality is poor:
+ - Add more samples
+ - Try different source audio
+ - Check sample quality
+
+
+
+### Common Issues
+
+
+
+ **Cause**: Poor quality samples or too short
+
+ **Fix**: Use longer, higher quality samples
+
+
+
+ **Cause**: Sample tone doesn't match desired output
+
+ **Fix**: Record samples in the style you want to generate
+
+
+
+ **Cause**: Background noise or audio issues in samples
+
+ **Fix**: Clean up samples or re-record in quieter environment
+
+
+
+## Advanced Tips
+
+### Celebrity/Character Voices
+
+For cloning public figures or characters:
+
+1. **Legal considerations** - Ensure you have rights or it's fair use
+2. **Source quality** - Find high-quality interview audio or clean clips
+3. **Consistency** - Use clips where they speak similarly
+4. **Multiple samples** - Very important for recognizable voices
+
+### Accent & Dialect
+
+The model will preserve accent and dialect:
+
+- British English will generate British English
+- Southern accent will produce Southern accent
+- Regional pronunciations will be maintained
+
+### Emotion Transfer
+
+The emotional tone of samples affects generation:
+
+- Energetic samples → Energetic output
+- Calm samples → Calm output
+- Mix samples for versatile profile
+
+## Managing Profiles
+
+### Organization
+
+- **Descriptive names** - "John Smith - Professional Narrator"
+- **Add descriptions** - Note recording conditions, use cases
+- **Language tags** - Mark the primary language
+- **Archive unused** - Keep profile list manageable
+
+### Export/Import
+
+- **Export** profiles to share or backup
+- **Import** from colleagues or teammates
+- Profiles include voice embeddings, not original audio
+
+## Next Steps
+
+
+
+ Use your profile to generate speech
+
+
+ Create multi-voice narratives
+
+
diff --git a/docs/overview/generating-speech.mdx b/docs/overview/generating-speech.mdx
new file mode 100644
index 00000000..775b011c
--- /dev/null
+++ b/docs/overview/generating-speech.mdx
@@ -0,0 +1,65 @@
+---
+title: "Generating Speech"
+description: "Generate high-quality speech from text"
+---
+
+## Basic Generation
+
+
+
+ Choose a voice profile from the dropdown
+
+
+ Type or paste your text
+
+
+ Click **Generate** and wait a few seconds
+
+
+ Preview and download the result
+
+
+
+## Text Formatting Tips
+
+The way you format text affects the output quality.
+
+### Punctuation
+
+Use proper punctuation for natural pauses:
+
+```
+Good: "Hello! How are you today? I'm doing great."
+Bad: "Hello how are you today Im doing great"
+```
+
+### Emphasis
+
+Use formatting to suggest emphasis:
+
+```
+- ALL CAPS for louder/emphasized: "That was AMAZING!"
+- Italics for subtle emphasis: "I *really* enjoyed that"
+- Bold for strong emphasis: "This is **very** important"
+```
+
+
+ The model interprets these hints but results may vary.
+
+
+## Advanced Features
+
+### Batch Generation
+
+For long-form content, split into smaller chunks for better control and faster processing.
+
+### Voice Caching
+
+Voicebox caches voice prompts for faster re-generation with the same profile.
+
+## Coming Soon
+
+- Real-time streaming
+- Word-level timing control
+- Emotion and style controls
+- SSML support
diff --git a/docs/overview/generation-history.mdx b/docs/overview/generation-history.mdx
new file mode 100644
index 00000000..cdee4689
--- /dev/null
+++ b/docs/overview/generation-history.mdx
@@ -0,0 +1,88 @@
+---
+title: "Generation History"
+description: "Track and manage all your generated audio"
+---
+
+## Overview
+
+Voicebox keeps a complete history of all generated audio, making it easy to find, reuse, and manage your creations.
+
+## Features
+
+
+
+ Every generation is automatically saved
+
+
+ Find by text, voice, or date
+
+
+ Regenerate any past generation with one click
+
+
+ Download individual or batch exports
+
+
+
+## Viewing History
+
+Navigate to the **History** tab to see all your generations.
+
+Each entry shows:
+- Generated text
+- Voice profile used
+- Timestamp
+- Audio duration
+- Language
+
+## Actions
+
+### Play
+Click any generation to play it immediately.
+
+### Re-generate
+Regenerate with the same settings or modify the text/voice.
+
+### Download
+Export as WAV, MP3, or M4A.
+
+### Delete
+Remove unwanted generations to free up space.
+
+### Add to Story
+Drag generations to the Stories Editor timeline.
+
+## Search & Filter
+
+
+
+ Search for specific text content
+ ```
+ "Hello world"
+ ```
+
+
+ Filter by voice profile
+ ```
+ Select from dropdown
+ ```
+
+
+ Filter by date range
+ ```
+ Last 7 days, Last 30 days, Custom range
+ ```
+
+
+
+## Storage
+
+History is stored locally:
+
+- **macOS**: `~/Library/Application Support/com.voicebox.app/data/`
+- **Windows**: `%APPDATA%/com.voicebox.app/data/`
+- **Linux**: `~/.config/com.voicebox.app/data/`
+
+
+ Deleting the data directory will remove all history. Export important files first.
+
diff --git a/docs/overview/installation.mdx b/docs/overview/installation.mdx
new file mode 100644
index 00000000..04ddc5ba
--- /dev/null
+++ b/docs/overview/installation.mdx
@@ -0,0 +1,119 @@
+---
+title: "Installation"
+description: "Download and install Voicebox on macOS, Windows, or Linux"
+---
+
+## Download
+
+Voicebox is available for macOS and Windows, with Linux builds coming soon.
+
+
+
+ Download for Apple Silicon or Intel Macs
+
+
+ Download MSI installer or Setup executable
+
+
+
+### macOS
+
+
+
+ Download: [voicebox_aarch64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/latest/download/voicebox_aarch64.app.tar.gz)
+
+ ```bash
+ # Extract the archive
+ tar -xzf voicebox_aarch64.app.tar.gz
+
+ # Move to Applications
+ mv Voicebox.app /Applications/
+ ```
+
+
+ Download: [voicebox_x64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/latest/download/voicebox_x64.app.tar.gz)
+
+ ```bash
+ # Extract the archive
+ tar -xzf voicebox_x64.app.tar.gz
+
+ # Move to Applications
+ mv Voicebox.app /Applications/
+ ```
+
+
+
+### Windows
+
+
+
+ Download: [voicebox_x64_en-US.msi](https://github.com/jamiepine/voicebox/releases/latest/download/voicebox_x64_en-US.msi)
+
+ Double-click the MSI file and follow the installation wizard.
+
+
+ Download: [voicebox_x64-setup.exe](https://github.com/jamiepine/voicebox/releases/latest/download/voicebox_x64-setup.exe)
+
+ Run the executable and follow the installation wizard.
+
+
+
+### Linux
+
+
+ Linux builds are coming soon. Currently blocked by GitHub runner disk space limitations.
+
+
+## First Launch
+
+When you launch Voicebox for the first time:
+
+1. **Model Download** — Qwen3-TTS model (~2-4GB) will download automatically on first use
+2. **Data Directory** — Voice profiles and generated audio are stored in:
+ - macOS: `~/Library/Application Support/com.voicebox.app/`
+ - Windows: `%APPDATA%/com.voicebox.app/`
+ - Linux: `~/.config/com.voicebox.app/`
+
+3. **Backend Server** — The bundled Python server starts automatically
+
+
+ First generation will be slower due to model downloads. Subsequent runs use cached models.
+
+
+## System Requirements
+
+### Minimum
+
+- **OS:** macOS 11+, Windows 10+, or Linux
+- **RAM:** 8GB
+- **Storage:** 5GB free space (for models and data)
+- **CPU:** Modern multi-core processor
+
+### Recommended
+
+- **RAM:** 16GB+
+- **GPU:** CUDA-capable NVIDIA GPU (for faster generation)
+- **Storage:** 10GB+ free space
+
+
+ CPU inference is supported but significantly slower than GPU. A CUDA-capable GPU is highly recommended for real-time workflows.
+
+
+## Verification
+
+After installation, verify everything works:
+
+1. Launch Voicebox
+2. Check the server status indicator in the bottom-left corner (should be green)
+3. Navigate to **Profiles** and create a test profile
+4. Generate a short audio clip to verify the TTS engine works
+
+
+ If you see a green status indicator and can generate audio, you're all set!
+
+
+## Next Steps
+
+
+ Create your first voice profile and generate speech
+
diff --git a/docs/overview/introduction.mdx b/docs/overview/introduction.mdx
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--- /dev/null
+++ b/docs/overview/introduction.mdx
@@ -0,0 +1,58 @@
+---
+title: "Introduction"
+description: "Welcome to Voicebox - the open-source voice synthesis studio"
+---
+
+## What is Voicebox?
+
+Voicebox is a **local-first voice cloning studio** with DAW-like features for professional voice synthesis. Think of it as the **Ollama for voice** — download models, clone voices, and generate speech entirely on your machine.
+
+
+
+
+
+Unlike cloud services that lock your voice data behind subscriptions, Voicebox gives you:
+
+- **Complete privacy** — models and voice data stay on your machine
+- **Professional tools** — multi-track timeline editor, audio trimming, conversation mixing
+- **Model flexibility** — currently powered by Qwen3-TTS, with support for XTTS, Bark, and other models coming soon
+- **API-first** — use the desktop app or integrate voice synthesis into your own projects
+- **Native performance** — built with Tauri (Rust), not Electron
+
+Download a voice model, clone any voice from a few seconds of audio, and compose multi-voice projects with studio-grade editing tools. No Python install required, no cloud dependency, no limits.
+
+## Key Features
+
+
+
+ Instant cloning from just a few seconds of audio with Qwen3-TTS
+
+
+ Multi-track timeline for creating conversations and narratives
+
+
+ REST API for integrating voice synthesis into your apps
+
+
+ Everything runs on your machine - complete privacy
+
+
+
+## Use Cases
+
+- **Game Development** — Generate dynamic dialogue for characters
+- **Content Creation** — Produce podcasts and video voiceovers
+- **Accessibility** — Build text-to-speech tools
+- **Voice Assistants** — Create custom voice interfaces
+- **Production Pipelines** — Automate voiceover workflows
+
+## Next Steps
+
+
+
+ Download and install Voicebox on your machine
+
+
+ Get up and running in 5 minutes
+
+
diff --git a/docs/overview/quick-start.mdx b/docs/overview/quick-start.mdx
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--- /dev/null
+++ b/docs/overview/quick-start.mdx
@@ -0,0 +1,154 @@
+---
+title: "Quick Start"
+description: "Get started with Voicebox in 5 minutes"
+---
+
+This guide will walk you through creating your first voice profile and generating speech.
+
+## Prerequisites
+
+Make sure you have [installed Voicebox](/overview/installation) and launched the app.
+
+## Step 1: Create a Voice Profile
+
+Voice profiles are the foundation of Voicebox. Each profile contains voice samples that the AI uses to clone the voice.
+
+
+
+ Click the **Profiles** tab in the sidebar
+
+
+
+ Click the **+ New Profile** button
+
+ Fill in the details:
+ - **Name:** A descriptive name (e.g., "John Smith")
+ - **Language:** Select the primary language
+ - **Description:** Optional notes about the voice
+
+
+
+ You have two options:
+
+ **Option A: Upload Audio**
+ - Click **Upload Sample**
+ - Select an audio file (WAV, MP3, or M4A)
+ - Ideal length: 10-30 seconds of clear speech
+
+ **Option B: Record Live**
+ - Click **Record Sample**
+ - Speak clearly for 10-30 seconds
+ - Click stop when finished
+
+
+
+ Click **Create Profile** to save
+
+
+
+
+ For best results, use clean audio with minimal background noise and consistent speaking tone.
+
+
+## Step 2: Generate Speech
+
+Now let's use your new voice profile to generate speech.
+
+
+
+ Click the **Generate** tab in the sidebar
+
+
+
+ Choose your newly created profile from the dropdown
+
+
+
+ Type or paste the text you want to generate:
+
+ ```
+ Hello! This is my first voice generation with Voicebox.
+ ```
+
+
+
+ Click **Generate** and wait a few seconds
+
+
+ First generation may take longer due to model initialization. Subsequent generations will be faster.
+
+
+
+
+ - Click **Play** to preview the audio
+ - Click **Download** to save the audio file
+ - The generation is also saved to your **History**
+
+
+
+## Step 3: Build a Story (Optional)
+
+The Stories Editor lets you create multi-voice narratives with a timeline-based interface.
+
+
+
+ Navigate to **Stories** and click **+ New Story**
+
+
+
+ Click **+ Add Track** to create tracks for different speakers
+
+
+
+ - Drag generated audio from your History
+ - Or generate new clips directly in the timeline
+ - Arrange clips on the timeline
+
+
+
+ - Trim clips by dragging edges
+ - Adjust timing and spacing
+ - Click **Export** to render the final audio
+
+
+
+## What's Next?
+
+
+
+ Learn advanced techniques for high-quality voice cloning
+
+
+ Integrate Voicebox into your own applications
+
+
+ Master the multi-track timeline editor
+
+
+ Connect to a GPU server for faster generation
+
+
+
+## Tips for Success
+
+
+
+ - Use 10-30 seconds of clear, consistent speech
+ - Avoid background noise and echo
+ - Multiple samples from the same speaker improve quality
+ - Match the speaking style you want to generate
+
+
+
+ - Use a CUDA-capable GPU for 5-10x faster generation
+ - Enable voice prompt caching for repeated generations
+ - Consider running the backend on a remote GPU server
+
+
+
+ - **Server won't start:** Check if port 17493 is available
+ - **Poor audio quality:** Try adding more voice samples
+ - **Slow generation:** Verify GPU acceleration is enabled
+ - See the full [Troubleshooting Guide](/guides/troubleshooting) for more
+
+
diff --git a/docs/overview/recording-transcription.mdx b/docs/overview/recording-transcription.mdx
new file mode 100644
index 00000000..7f1e4871
--- /dev/null
+++ b/docs/overview/recording-transcription.mdx
@@ -0,0 +1,64 @@
+---
+title: "Recording & Transcription"
+description: "Record audio and transcribe speech with Whisper"
+---
+
+## Recording
+
+Voicebox includes built-in recording capabilities for creating voice samples and capturing audio.
+
+### Features
+
+- **Microphone input** - Record from any audio input device
+- **System audio capture** - Record desktop audio (macOS/Windows)
+- **Waveform visualization** - See audio levels in real-time
+- **Multiple formats** - Export as WAV, MP3, or M4A
+
+### How to Record
+
+
+
+ Choose your microphone or system audio
+
+
+ Click the record button and speak clearly
+
+
+ Click stop when finished
+
+
+ Use as voice sample or export to file
+
+
+
+## Transcription
+
+Automatic speech-to-text powered by OpenAI's Whisper model.
+
+### Features
+
+- **High accuracy** - Industry-leading speech recognition
+- **Multiple languages** - Supports 50+ languages
+- **Automatic detection** - Language auto-detection
+- **Timestamps** - Word-level timing information
+
+### How to Transcribe
+
+
+
+ Choose a recording or upload an audio file
+
+
+ Select language or use auto-detect
+
+
+ Click transcribe and wait for processing
+
+
+ Review text and export as needed
+
+
+
+
+ Transcription is useful for creating voice samples from existing audio or generating subtitles.
+
diff --git a/docs/overview/remote-mode.mdx b/docs/overview/remote-mode.mdx
new file mode 100644
index 00000000..533147fd
--- /dev/null
+++ b/docs/overview/remote-mode.mdx
@@ -0,0 +1,138 @@
+---
+title: "Remote Mode"
+description: "Connect to a GPU server for faster generation"
+---
+
+## Overview
+
+Remote Mode allows you to run the Voicebox backend on a separate machine (like a GPU server) while using the desktop app on your local machine.
+
+## Use Cases
+
+- **No local GPU** - Use a cloud GPU or remote workstation
+- **Faster generation** - Leverage powerful remote hardware
+- **Shared infrastructure** - Multiple users connect to one server
+- **Laptop workflows** - Keep your laptop cool and battery-efficient
+
+## Architecture
+
+In Remote Mode, the Voicebox desktop app (running on your local machine) communicates with the backend server (running on a remote machine) via HTTP. The local app provides only the user interface, while the remote server handles all the heavy processing including the TTS models, API endpoints, and audio generation.
+
+## Setting Up Remote Mode
+
+### On the Server
+
+
+
+ ```bash
+ # Clone the repo
+ git clone https://github.com/jamiepine/voicebox.git
+ cd voicebox/backend
+
+ # Install Python dependencies
+ pip install -r requirements.txt
+ pip install git+https://github.com/QwenLM/Qwen3-TTS.git
+ ```
+
+
+
+ ```bash
+ # Allow external connections
+ uvicorn main:app --host 0.0.0.0 --port 17493
+ ```
+
+
+ This exposes the server to your network. Use a firewall or VPN for security.
+
+
+
+
+ ```bash
+ # Ubuntu/Debian
+ sudo ufw allow 17493
+
+ # Or use your cloud provider's firewall settings
+ ```
+
+
+
+### On the Client
+
+
+
+ In Voicebox, go to **Settings → Server**
+
+
+
+ Toggle **Use Remote Server**
+
+
+
+ ```
+ http://:17493
+ ```
+
+ Replace `` with your server's IP address
+
+
+
+ Click **Test Connection** to verify
+
+
+
+## Cloud Deployment
+
+### AWS EC2
+
+```bash
+# Launch a GPU instance (e.g., g4dn.xlarge)
+# Install dependencies
+# Start server with --host 0.0.0.0
+```
+
+### Vast.ai
+
+```bash
+# Rent a GPU instance
+# SSH in and clone repo
+# Start server
+```
+
+### RunPod
+
+```bash
+# Deploy a pod with CUDA support
+# Install Voicebox backend
+# Expose port 17493
+```
+
+## Security Considerations
+
+
+ The API currently has no authentication. Only use on trusted networks or with a VPN.
+
+
+**Best Practices:**
+- Use a VPN (WireGuard, Tailscale) instead of exposing to the internet
+- Run behind a reverse proxy with authentication (nginx + basic auth)
+- Use HTTPS with SSL certificates
+- Firewall rules to limit access to specific IPs
+
+## Performance
+
+Expected performance on various GPUs:
+
+| GPU | Generation Speed |
+|-----|------------------|
+| RTX 4090 | ~2-3s per 10 words |
+| RTX 3090 | ~3-4s per 10 words |
+| RTX 3060 | ~5-7s per 10 words |
+| CPU (12-core) | ~20-30s per 10 words |
+
+
+ A GPU with 8GB+ VRAM is recommended for best performance.
+
+
+## Troubleshooting
+
+See the [Troubleshooting Guide](/guides/troubleshooting#remote-mode-issues) for common remote mode issues.
diff --git a/docs/overview/stories-editor.mdx b/docs/overview/stories-editor.mdx
new file mode 100644
index 00000000..7e9629d3
--- /dev/null
+++ b/docs/overview/stories-editor.mdx
@@ -0,0 +1,64 @@
+---
+title: "Stories Editor"
+description: "Create multi-voice narratives with a timeline-based editor"
+---
+
+## Overview
+
+The Stories Editor is a DAW-like timeline interface for creating multi-voice narratives, podcasts, and conversations.
+
+## Features
+
+
+
+ Arrange multiple voice tracks in parallel
+
+
+ Trim and split clips directly in the timeline
+
+
+ Preview with synchronized playhead
+
+
+ Build conversations with multiple speakers
+
+
+
+## Creating a Story
+
+
+
+ Navigate to **Stories** and click **+ New Story**
+
+
+ Create separate tracks for each voice/speaker
+
+
+ - Drag from generation history
+ - Generate new clips inline
+ - Upload audio files
+
+
+ - Position clips on timeline
+ - Trim clip edges
+ - Adjust spacing and timing
+
+
+ Render the final mixed audio
+
+
+
+## Use Cases
+
+- **Podcasts**: Multi-host conversations
+- **Audiobooks**: Narrator + character voices
+- **Game Dialogue**: Character interactions
+- **Video Voiceovers**: Multiple speakers
+- **Audio Drama**: Full voice casts
+
+## Coming Soon
+
+- Word-level editing
+- Crossfades and transitions
+- Audio effects (reverb, EQ)
+- Real-time collaboration
diff --git a/docs/overview/troubleshooting.mdx b/docs/overview/troubleshooting.mdx
new file mode 100644
index 00000000..f57c29f2
--- /dev/null
+++ b/docs/overview/troubleshooting.mdx
@@ -0,0 +1,477 @@
+---
+title: "Troubleshooting"
+description: "Common issues and solutions for Voicebox"
+---
+
+This guide covers common issues you might encounter when using or developing Voicebox, along with solutions.
+
+## Installation Issues
+
+### macOS: "App is damaged and can't be opened"
+
+This occurs because the app isn't signed with an Apple Developer certificate.
+
+**Solution:**
+```bash
+# Remove the quarantine attribute
+xattr -cr /Applications/Voicebox.app
+```
+
+### Windows: SmartScreen Warning
+
+Windows SmartScreen may warn that the app is unrecognized.
+
+**Solution:**
+- Click "More info"
+- Click "Run anyway"
+
+
+ This is expected for unsigned applications. We're working on code signing for future releases.
+
+
+## Server Issues
+
+### Backend Server Won't Start
+
+**Symptoms:**
+- Red status indicator in bottom-left corner
+- "Failed to connect to server" error
+
+**Solutions:**
+
+
+
+ Check if port 17493 is already in use:
+
+ ```bash
+ # macOS/Linux
+ lsof -i :17493
+
+ # Windows
+ netstat -ano | findstr :17493
+ ```
+
+ Kill the process using the port:
+ ```bash
+ # macOS/Linux
+ kill -9
+
+ # Windows
+ taskkill /PID /F
+ ```
+
+
+
+ The server binary might not have execute permissions:
+
+ ```bash
+ # macOS/Linux
+ chmod +x ~/Library/Application\ Support/com.voicebox.app/backend/voicebox-server
+ ```
+
+
+
+ View server logs for errors:
+
+ **macOS:**
+ ```bash
+ tail -f ~/Library/Application\ Support/com.voicebox.app/logs/server.log
+ ```
+
+ **Windows:**
+ ```bash
+ type %APPDATA%\com.voicebox.app\logs\server.log
+ ```
+
+
+
+### Connection Timeout
+
+**Symptoms:**
+- Long loading times
+- "Connection timeout" errors
+
+**Solution:**
+- Restart the app
+- Check your firewall settings
+- Ensure localhost is accessible
+
+## Generation Issues
+
+### First Generation is Very Slow
+
+**Symptoms:**
+- First generation takes 2-5 minutes
+- Progress indicator stuck at "Loading model..."
+
+**Explanation:**
+This is expected behavior. The first generation downloads the Qwen3-TTS model (~2-4GB) and initializes it.
+
+**Solution:**
+- Wait for the initial download to complete
+- Subsequent generations will be much faster
+- Check your internet connection
+
+### Poor Voice Quality
+
+**Symptoms:**
+- Robotic or unnatural voice
+- Missing emotion or prosody
+- Pronunciation errors
+
+**Solutions:**
+
+
+
+ - Use 10-30 seconds of clear audio
+ - Avoid background noise
+ - Ensure consistent speaking tone
+ - Add multiple samples from the same speaker
+
+
+
+ The generated voice will mimic the tone and style of your samples. If your sample is monotone, the generation will be too.
+
+
+
+ - Use proper punctuation
+ - Add commas for natural pauses
+ - Capitalize proper nouns
+
+
+
+### Generation Fails with "Out of Memory"
+
+**Symptoms:**
+- Generation crashes
+- "CUDA out of memory" or "RuntimeError: out of memory"
+
+**Solutions:**
+
+
+
+ Close other GPU-intensive applications:
+ - Games
+ - Video editors
+ - Multiple browser tabs with WebGL
+
+ Then restart Voicebox.
+
+
+
+ If your GPU doesn't have enough VRAM (need 6GB+), use CPU mode:
+
+ Settings → Generation → Use CPU instead of GPU
+
+
+ CPU generation is 5-10x slower but uses system RAM instead of VRAM.
+
+
+
+
+ For long text, split it into smaller chunks instead of generating all at once.
+
+
+
+## Audio Issues
+
+### No Audio Playback
+
+**Symptoms:**
+- Generated audio won't play
+- Playback button doesn't respond
+
+**Solutions:**
+- Check system audio settings
+- Ensure audio output device is connected
+- Try exporting and playing in a media player
+
+### Crackling or Distorted Audio
+
+**Symptoms:**
+- Audio has static or distortion
+- Clipping sounds
+
+**Solutions:**
+- Check if your input samples have distortion
+- Reduce playback volume
+- Re-generate with cleaner voice samples
+
+## Development Issues
+
+### Backend Won't Start in Dev Mode
+
+**Symptoms:**
+- `bun run dev:server` fails
+- Import errors or module not found
+
+**Solutions:**
+
+
+
+ Ensure Python 3.11 or higher:
+
+ ```bash
+ python --version
+ ```
+
+ If not, install Python 3.11+ and recreate the virtual environment.
+
+
+
+ Ensure venv is activated:
+
+ ```bash
+ # macOS/Linux
+ source backend/venv/bin/activate
+
+ # Windows
+ backend\venv\Scripts\activate
+ ```
+
+ You should see `(venv)` in your prompt.
+
+
+
+ Reinstall dependencies:
+
+ ```bash
+ cd backend
+ pip install -r requirements.txt
+ pip install git+https://github.com/QwenLM/Qwen3-TTS.git
+ ```
+
+
+
+### Tauri Build Fails
+
+**Symptoms:**
+- `bun run tauri build` fails
+- Rust compilation errors
+
+**Solutions:**
+
+```bash
+# Clean build artifacts
+cd tauri/src-tauri
+cargo clean
+
+# Update Rust
+rustup update
+
+# Try building again
+cd ../..
+bun run tauri build
+```
+
+### OpenAPI Client Generation Fails
+
+**Symptoms:**
+- `./scripts/generate-api.sh` fails
+- "Failed to fetch schema" error
+
+**Solutions:**
+
+
+
+ ```bash
+ curl http://localhost:17493/openapi.json
+ ```
+
+ Should return JSON. If not, start the backend.
+
+
+
+ Ensure nothing else is using port 17493
+
+
+
+ ```bash
+ cd backend
+ source venv/bin/activate
+ uvicorn main:app --reload --port 17493
+
+ # In another terminal
+ ./scripts/generate-api.sh
+ ```
+
+
+
+## Database Issues
+
+### "Database is locked" Error
+
+**Symptoms:**
+- Profile or generation operations fail
+- SQLite lock errors
+
+**Solutions:**
+- Close all Voicebox instances
+- Delete the lock file:
+ ```bash
+ # macOS
+ rm ~/Library/Application\ Support/com.voicebox.app/data/voicebox.db-shm
+ rm ~/Library/Application\ Support/com.voicebox.app/data/voicebox.db-wal
+ ```
+
+### Corrupted Database
+
+**Symptoms:**
+- App crashes on launch
+- Data missing or corrupted
+
+**Solutions:**
+
+
+ This will delete all your voice profiles and generation history. Export important profiles first if possible.
+
+
+```bash
+# macOS
+rm ~/Library/Application\ Support/com.voicebox.app/data/voicebox.db
+
+# Windows
+del %APPDATA%\com.voicebox.app\data\voicebox.db
+```
+
+Restart the app to create a fresh database.
+
+## Model Issues
+
+### Model Download Fails
+
+**Symptoms:**
+- "Failed to download model" error
+- Stuck at "Downloading..."
+
+**Solutions:**
+- Check your internet connection
+- Check HuggingFace Hub status
+- Try using a VPN if HuggingFace is blocked in your region
+- Manually download and place in cache directory
+
+### Wrong Model Version
+
+**Symptoms:**
+- Generation quality suddenly degraded
+- Different voice output
+
+**Solutions:**
+Clear the model cache and re-download:
+
+```bash
+# macOS
+rm -rf ~/.cache/huggingface/hub/models--Qwen*
+
+# Windows
+rmdir /s %USERPROFILE%\.cache\huggingface\hub\models--Qwen*
+```
+
+## Performance Issues
+
+### Slow Generation on GPU
+
+**Symptoms:**
+- Generation slower than expected
+- GPU not being utilized
+
+**Solutions:**
+
+
+
+ ```bash
+ nvidia-smi
+ ```
+
+ Should show your GPU. If not, install CUDA drivers.
+
+
+
+ If you have multiple GPUs, ensure Voicebox is using the right one.
+
+ Settings → Generation → GPU Device
+
+
+
+ Outdated drivers can cause performance issues. Update to the latest NVIDIA drivers.
+
+
+
+### High Memory Usage
+
+**Symptoms:**
+- App uses excessive RAM
+- System becomes sluggish
+
+**Solutions:**
+- Close unused voice profiles
+- Clear generation history
+- Restart the app periodically
+
+## Remote Mode Issues
+
+### Can't Connect to Remote Server
+
+**Symptoms:**
+- "Connection refused" error
+- Remote server not found
+
+**Solutions:**
+
+
+
+ Ensure the remote server is running:
+
+ ```bash
+ curl http://:17493/health
+ ```
+
+
+
+ Ensure port 17493 is open on the remote server:
+
+ ```bash
+ # Allow port on Ubuntu/Debian
+ sudo ufw allow 17493
+ ```
+
+
+
+ - Ensure both machines are on the same network (for local servers)
+ - Use IP address instead of hostname
+ - Try pinging the server: `ping `
+
+
+
+## Still Having Issues?
+
+If you're still experiencing problems:
+
+1. **Check GitHub Issues:** [github.com/jamiepine/voicebox/issues](https://github.com/jamiepine/voicebox/issues)
+2. **Open a New Issue:** Provide:
+ - Operating system and version
+ - Voicebox version
+ - Steps to reproduce
+ - Error messages or logs
+3. **Join Discord:** [discord.gg/voicebox](https://discord.gg/voicebox) (coming soon)
+
+## Diagnostic Information
+
+When reporting issues, include this information:
+
+```bash
+# Voicebox version
+# Check Help → About in the app
+
+# Operating system
+uname -a # macOS/Linux
+systeminfo # Windows
+
+# Python version (for dev issues)
+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.
diff --git a/docs/overview/voice-cloning.mdx b/docs/overview/voice-cloning.mdx
new file mode 100644
index 00000000..efc6caf8
--- /dev/null
+++ b/docs/overview/voice-cloning.mdx
@@ -0,0 +1,75 @@
+---
+title: "Voice Cloning"
+description: "Clone any voice from just a few seconds of audio"
+---
+
+## Overview
+
+Voicebox uses **Qwen3-TTS** from Alibaba to achieve near-perfect voice cloning from just a few seconds of audio. The model captures prosody, emotion, and natural cadence.
+
+## How It Works
+
+
+
+ Provide 10-30 seconds of clear speech from the target voice
+
+
+ Qwen3-TTS analyzes vocal characteristics, tone, and speaking patterns
+
+
+ The model generates a voice embedding for synthesis
+
+
+ Use the profile to generate any text in the cloned voice
+
+
+
+## Best Practices
+
+### Sample Quality
+
+
+
+ - Use 10-30 seconds of audio
+ - Clear, consistent speaking
+ - Minimal background noise
+ - Natural speaking pace
+
+
+ - Very short clips (< 5 seconds)
+ - Heavy background noise
+ - Music or overlapping voices
+ - Heavily processed audio
+
+
+
+### Multiple Samples
+
+Adding multiple samples from the same speaker can improve quality:
+
+- Different speaking styles (casual, formal)
+- Different emotions (happy, serious)
+- Different recording conditions
+
+
+ The model will learn a more robust representation from diverse samples.
+
+
+## Supported Languages
+
+Currently supported:
+- English
+- Chinese (Mandarin)
+
+More languages coming soon.
+
+## Limitations
+
+
+ Voice cloning should only be used with consent. Ensure you have permission to clone someone's voice.
+
+
+- Quality depends on sample clarity
+- Works best with consistent speaking tone
+- May struggle with extreme accents or speech impediments
+- Background noise reduces quality
diff --git a/docs/package.json b/docs/package.json
new file mode 100644
index 00000000..e21c43ed
--- /dev/null
+++ b/docs/package.json
@@ -0,0 +1,15 @@
+{
+ "name": "voicebox-docs",
+ "version": "0.1.0",
+ "private": true,
+ "scripts": {
+ "dev": "mintlify dev",
+ "install:mintlify": "bun add -g mintlify"
+ },
+ "devDependencies": {
+ "mintlify": "latest"
+ },
+ "engines": {
+ "bun": ">=1.0.0"
+ }
+}
diff --git a/docs/plans/OPENAI_SUPPORT.md b/docs/plans/OPENAI_SUPPORT.md
new file mode 100644
index 00000000..5409e55a
--- /dev/null
+++ b/docs/plans/OPENAI_SUPPORT.md
@@ -0,0 +1,235 @@
+# OpenAI API Compatibility
+
+**Status:** Planned for v0.2.0
+
+**Issue:** [#10 OpenAI API compatibility](https://github.com/jamiepine/voicebox/issues/10)
+
+## Overview
+
+This feature exposes OpenAI-compatible endpoints from Voicebox, allowing any tool, library, or application that speaks the OpenAI Audio API to use Voicebox as a drop-in local replacement.
+
+```mermaid
+flowchart LR
+ subgraph clients [External Clients]
+ SDK[OpenAI SDK]
+ Curl[curl / HTTP]
+ Apps[Third-party Apps]
+ end
+
+ subgraph voicebox [Voicebox Server]
+ OpenAI["/v1/audio/* endpoints"]
+ TTS[TTSModel]
+ Whisper[WhisperModel]
+ Profiles[Voice Profiles]
+ end
+
+ SDK --> OpenAI
+ Curl --> OpenAI
+ Apps --> OpenAI
+ OpenAI --> TTS
+ OpenAI --> Whisper
+ OpenAI --> Profiles
+```
+
+## Use Cases
+
+- **OpenAI SDK users**: `openai.audio.speech.create()` works with Voicebox
+- **LLM frameworks**: LangChain, AutoGen, etc. can use Voicebox for TTS
+- **Shell scripts**: `curl` commands copy-pasted from OpenAI docs work
+- **Existing integrations**: Any tool expecting OpenAI's API works without code changes
+
+## Endpoints to Implement
+
+### 1. `POST /v1/audio/speech` (TTS)
+
+OpenAI spec: https://platform.openai.com/docs/api-reference/audio/createSpeech
+
+**Request:**
+
+```json
+{
+ "model": "tts-1",
+ "input": "Hello world!",
+ "voice": "alloy",
+ "response_format": "mp3",
+ "speed": 1.0
+}
+```
+
+**Response:** Audio file (mp3, wav, opus, aac, flac, pcm)
+
+**Voice Mapping Strategy:**
+
+- `voice` parameter maps to Voicebox profile names (case-insensitive)
+- If no match, use a configurable default profile
+- Support special syntax: `voice: "profile:uuid"` for explicit profile ID
+
+### 2. `POST /v1/audio/transcriptions` (Whisper)
+
+OpenAI spec: https://platform.openai.com/docs/api-reference/audio/createTranscription
+
+**Request:** (multipart/form-data)
+
+- `file`: Audio file
+- `model`: "whisper-1"
+- `language`: Optional language hint
+- `response_format`: json, text, srt, verbose_json, vtt
+
+**Response:**
+
+```json
+{
+ "text": "Hello world!"
+}
+```
+
+## Implementation Details
+
+### New File: `backend/openai_compat.py`
+
+Create a dedicated module with an APIRouter for OpenAI-compatible endpoints:
+
+```python
+from fastapi import APIRouter, UploadFile, File, Form, HTTPException
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel
+from typing import Literal, Optional
+
+router = APIRouter(prefix="/v1/audio", tags=["OpenAI Compatible"])
+
+class SpeechRequest(BaseModel):
+ model: str = "tts-1"
+ input: str
+ voice: str = "alloy"
+ response_format: Literal["mp3", "wav", "opus", "aac", "flac", "pcm"] = "mp3"
+ speed: float = 1.0
+
+@router.post("/speech")
+async def create_speech(request: SpeechRequest, db: Session = Depends(get_db)):
+ # 1. Map voice name to profile
+ # 2. Generate audio using existing TTSModel
+ # 3. Convert to requested format
+ # 4. Return audio stream
+ ...
+
+@router.post("/transcriptions")
+async def create_transcription(
+ file: UploadFile = File(...),
+ model: str = Form("whisper-1"),
+ language: Optional[str] = Form(None),
+ response_format: str = Form("json"),
+):
+ # 1. Save uploaded file
+ # 2. Transcribe using existing WhisperModel
+ # 3. Return in requested format
+ ...
+```
+
+### Voice Profile Resolution
+
+Add helper in [backend/profiles.py](backend/profiles.py):
+
+```python
+async def resolve_voice_for_openai(voice: str, db: Session) -> Optional[VoiceProfile]:
+ """
+ Resolve OpenAI voice parameter to a Voicebox profile.
+
+ Priority:
+ 1. Exact profile name match (case-insensitive)
+ 2. Profile ID match (if voice starts with "profile:")
+ 3. Default profile from config
+ 4. First available profile
+ """
+ ...
+```
+
+### Audio Format Conversion
+
+Add conversion utilities in [backend/utils/audio.py](backend/utils/audio.py):
+
+```python
+def convert_audio_format(
+ audio: np.ndarray,
+ sample_rate: int,
+ target_format: str, # mp3, wav, opus, aac, flac, pcm
+) -> bytes:
+ """Convert audio to target format using ffmpeg or pydub."""
+ ...
+```
+
+### Configuration
+
+Add to [backend/config.py](backend/config.py):
+
+```python
+# OpenAI API Compatibility
+OPENAI_COMPAT_ENABLED = True
+OPENAI_COMPAT_DEFAULT_VOICE = None # Profile ID or name for default voice
+OPENAI_COMPAT_REQUIRE_AUTH = False # Require API key validation
+OPENAI_COMPAT_API_KEY = None # If set, validate against this
+```
+
+### Integration with main.py
+
+In [backend/main.py](backend/main.py), include the router:
+
+```python
+from . import openai_compat
+
+# Add OpenAI-compatible routes
+if config.OPENAI_COMPAT_ENABLED:
+ app.include_router(openai_compat.router)
+```
+
+## Streaming Support (Future Enhancement)
+
+Initial implementation returns complete audio. Streaming can be added later:
+
+```python
+@router.post("/speech")
+async def create_speech(request: SpeechRequest):
+ if request.stream:
+ return StreamingResponse(
+ generate_audio_chunks(request),
+ media_type=f"audio/{request.response_format}"
+ )
+ ...
+```
+
+## Testing
+
+Example usage after implementation:
+
+```bash
+# TTS with curl
+curl http://localhost:8000/v1/audio/speech \
+ -H "Content-Type: application/json" \
+ -d '{"model": "tts-1", "input": "Hello!", "voice": "MyProfile"}' \
+ --output speech.mp3
+
+# With OpenAI Python SDK
+from openai import OpenAI
+client = OpenAI(base_url="http://localhost:8000/v1", api_key="unused")
+response = client.audio.speech.create(
+ model="tts-1",
+ voice="MyProfile",
+ input="Hello world!"
+)
+response.stream_to_file("output.mp3")
+
+# Transcription
+curl http://localhost:8000/v1/audio/transcriptions \
+ -F file=@audio.mp3 \
+ -F model="whisper-1"
+```
+
+## Security Considerations
+
+- Optional API key validation (for shared deployments)
+- Rate limiting on endpoints
+- Input length limits (same as existing `/generate` endpoint)
+
+## Dependencies
+
+- `pydub` or `ffmpeg-python` for audio format conversion (mp3, opus, etc.)
+- No changes to existing TTS/Whisper model code
\ No newline at end of file
diff --git a/docs/public/app-screenshot-1.webp b/docs/public/app-screenshot-1.webp
new file mode 100644
index 00000000..343e94bd
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diff --git a/docs/public/app-screenshot-2.webp b/docs/public/app-screenshot-2.webp
new file mode 100644
index 00000000..2d097607
Binary files /dev/null and b/docs/public/app-screenshot-2.webp differ
diff --git a/docs/public/app-screenshot-3.webp b/docs/public/app-screenshot-3.webp
new file mode 100644
index 00000000..067d5365
Binary files /dev/null and b/docs/public/app-screenshot-3.webp differ
diff --git a/package.json b/package.json
index 801eef6f..ef2acdf8 100644
--- a/package.json
+++ b/package.json
@@ -22,6 +22,7 @@
"generate:keys": "cd tauri && bun tauri signer generate -w ~/.tauri/voicebox.key",
"build:server": "./scripts/build-server.sh",
"update:icons": "./scripts/update-icons.sh",
+ "convert:assets": "./scripts/convert-assets.sh",
"lint": "biome lint .",
"lint:fix": "biome lint --write .",
"format": "biome format --write .",
@@ -35,5 +36,9 @@
"@types/node": "^20.0.0",
"tailwindcss": "^4.1.18",
"typescript": "^5.6.0"
- }
+ },
+ "engines": {
+ "bun": ">=1.0.0"
+ },
+ "packageManager": "bun@1.0.0"
}
diff --git a/scripts/convert-assets.sh b/scripts/convert-assets.sh
new file mode 100755
index 00000000..caaca530
--- /dev/null
+++ b/scripts/convert-assets.sh
@@ -0,0 +1,154 @@
+#!/bin/bash
+set -e
+
+# Asset Conversion Script
+# Converts PNG → WebP and MOV → WebM in public folders
+# Deletes original files after successful conversion
+
+cd "$(dirname "$0")/.."
+
+# Directories to process
+DIRS=(
+ "landing/public"
+ "docs/public"
+)
+
+# Track counts
+png_converted=0
+mov_converted=0
+png_failed=0
+mov_failed=0
+
+echo "🔄 Converting assets to web-optimized formats..."
+echo ""
+
+# Check for required tools
+check_dependencies() {
+ local missing=()
+
+ if ! command -v cwebp &> /dev/null && ! command -v ffmpeg &> /dev/null; then
+ missing+=("cwebp or ffmpeg (for PNG→WebP)")
+ fi
+
+ if ! command -v ffmpeg &> /dev/null; then
+ missing+=("ffmpeg (for MOV→WebM)")
+ fi
+
+ if [ ${#missing[@]} -ne 0 ]; then
+ echo "❌ Missing required tools:"
+ for tool in "${missing[@]}"; do
+ echo " - $tool"
+ done
+ echo ""
+ echo "Install with: brew install webp ffmpeg"
+ exit 1
+ fi
+}
+
+# Convert PNG to WebP
+convert_png() {
+ local input="$1"
+ local output="${input%.png}.webp"
+
+ echo " Converting: $input"
+
+ if command -v cwebp &> /dev/null; then
+ # Use cwebp for best quality/size ratio
+ if cwebp -q 90 "$input" -o "$output" 2>/dev/null; then
+ rm "$input"
+ echo " ✓ → $output"
+ return 0
+ fi
+ elif command -v ffmpeg &> /dev/null; then
+ # Fallback to ffmpeg
+ if ffmpeg -i "$input" -c:v libwebp -quality 90 "$output" -y 2>/dev/null; then
+ rm "$input"
+ echo " ✓ → $output"
+ return 0
+ fi
+ fi
+
+ echo " ✗ Failed to convert"
+ return 1
+}
+
+# Convert MOV to WebM
+convert_mov() {
+ local input="$1"
+ local output="${input%.mov}.webm"
+
+ echo " Converting: $input"
+
+ if ffmpeg -i "$input" -c:v libvpx-vp9 -crf 30 -b:v 0 -c:a libopus "$output" -y 2>/dev/null; then
+ rm "$input"
+ echo " ✓ → $output"
+ return 0
+ fi
+
+ echo " ✗ Failed to convert"
+ return 1
+}
+
+# Main execution
+check_dependencies
+
+for dir in "${DIRS[@]}"; do
+ if [ ! -d "$dir" ]; then
+ echo "⚠ Directory not found: $dir (skipping)"
+ continue
+ fi
+
+ echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+ echo "📁 Processing: $dir"
+ echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+
+ # Find and convert PNGs (recursively)
+ while IFS= read -r -d '' file; do
+ if convert_png "$file"; then
+ ((png_converted++))
+ else
+ ((png_failed++))
+ fi
+ done < <(find "$dir" -type f -name "*.png" -print0 2>/dev/null)
+
+ # Find and convert MOVs (recursively)
+ while IFS= read -r -d '' file; do
+ if convert_mov "$file"; then
+ ((mov_converted++))
+ else
+ ((mov_failed++))
+ fi
+ done < <(find "$dir" -type f -name "*.mov" -print0 2>/dev/null)
+
+ # Also check for uppercase extensions
+ while IFS= read -r -d '' file; do
+ if convert_png "$file"; then
+ ((png_converted++))
+ else
+ ((png_failed++))
+ fi
+ done < <(find "$dir" -type f -name "*.PNG" -print0 2>/dev/null)
+
+ while IFS= read -r -d '' file; do
+ if convert_mov "$file"; then
+ ((mov_converted++))
+ else
+ ((mov_failed++))
+ fi
+ done < <(find "$dir" -type f -name "*.MOV" -print0 2>/dev/null)
+
+ echo ""
+done
+
+echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+echo "✅ Conversion complete!"
+echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
+echo ""
+echo "Results:"
+echo " PNG → WebP: $png_converted converted, $png_failed failed"
+echo " MOV → WebM: $mov_converted converted, $mov_failed failed"
+
+if [ $png_converted -eq 0 ] && [ $mov_converted -eq 0 ]; then
+ echo ""
+ echo "No PNG or MOV files found to convert."
+fi
diff --git a/tauri/src-tauri/Cargo.lock b/tauri/src-tauri/Cargo.lock
index 0a982c1a..1bea7b07 100644
--- a/tauri/src-tauri/Cargo.lock
+++ b/tauri/src-tauri/Cargo.lock
@@ -5041,7 +5041,7 @@ checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"
[[package]]
name = "voicebox"
-version = "0.1.8"
+version = "0.1.9"
dependencies = [
"base64 0.22.1",
"core-foundation-sys",
diff --git a/tauri/src-tauri/gen/Assets.car b/tauri/src-tauri/gen/Assets.car
index 9a0cfb6b..0c06aa52 100644
Binary files a/tauri/src-tauri/gen/Assets.car and b/tauri/src-tauri/gen/Assets.car differ
diff --git a/tauri/src-tauri/src/main.rs b/tauri/src-tauri/src/main.rs
index 36184a5d..146b5cc2 100644
--- a/tauri/src-tauri/src/main.rs
+++ b/tauri/src-tauri/src/main.rs
@@ -635,15 +635,12 @@ pub fn run() {
}
}
- #[cfg(debug_assertions)]
- {
- // Get all windows and open devtools on the first one
- if let Some((_, window)) = app.webview_windows().iter().next() {
- window.open_devtools();
- println!("Dev tools opened");
- } else {
- println!("No window found to open dev tools");
- }
+ // Get all windows and open devtools on the first one
+ if let Some((_, window)) = app.webview_windows().iter().next() {
+ window.open_devtools();
+ println!("Dev tools opened");
+ } else {
+ println!("No window found to open dev tools");
}
Ok(())
})