441 lines
10 KiB
Markdown
441 lines
10 KiB
Markdown
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# Next Steps for Local Transcription
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This document outlines potential future enhancements and features for the Local Transcription application.
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## Current Status: Phase 1 Complete ✅
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The application currently has:
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- ✅ Desktop GUI with PySide6
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- ✅ Real-time transcription with Whisper (faster-whisper)
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- ✅ Audio capture with automatic sample rate detection and resampling
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- ✅ Noise suppression with Voice Activity Detection (VAD)
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- ✅ Web server for OBS browser source integration
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- ✅ Configurable display settings (font, timestamps, fade duration)
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- ✅ Settings apply without restart
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- ✅ Auto-fade for web display
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- ✅ Standalone executable builds for Linux and Windows
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- ✅ CUDA support (with automatic CPU fallback)
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## Phase 2: Multi-User Server Architecture (Optional)
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If you want to enable multiple users to sync their transcriptions to a shared display:
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### Server Components
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1. **WebSocket Server**
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- Accept connections from multiple clients
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- Aggregate transcriptions from all connected users
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- Broadcast to web display clients
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- Handle user authentication/authorization
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- Rate limiting and abuse prevention
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2. **Database/Storage** (Optional)
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- Store transcription history
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- User management
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- Session logs for later review
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- Consider: SQLite, PostgreSQL, or Redis
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3. **Web Admin Interface**
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- Monitor connected clients
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- View active sessions
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- Manage users and permissions
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- Export transcription logs
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### Client Updates
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1. **Server Sync Toggle**
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- Enable/disable server sync in Settings
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- Server URL configuration
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- API key/authentication setup
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- Connection status indicator
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2. **Network Handling**
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- Auto-reconnect on connection loss
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- Queue transcriptions when offline
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- Sync when connection restored
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### Implementation Technologies
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- **Server Framework**: FastAPI (already used for web display)
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- **WebSocket**: Already integrated
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- **Database**: SQLAlchemy + SQLite/PostgreSQL
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- **Deployment**: Docker container for easy deployment
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**Estimated Effort**: 2-3 weeks for full implementation
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---
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## Phase 3: Enhanced Features
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### Transcription Improvements
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1. **Multi-Language Support**
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- Automatic language detection
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- Real-time language switching
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- Translation between languages
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- Per-user language settings
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2. **Speaker Diarization**
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- Detect and label different speakers
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- Use pyannote.audio or similar
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- Automatically assign speaker IDs
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3. **Custom Vocabulary**
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- Add gaming terms, streamer names
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- Technical jargon support
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- Proper noun correction
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4. **Punctuation & Formatting**
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- Automatic punctuation insertion
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- Sentence capitalization
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- Better text formatting
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### Display Enhancements
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1. **Theme System**
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- Light/dark themes
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- Custom color schemes
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- User-created themes (JSON/YAML)
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- Per-element styling
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2. **Animation Options**
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- Different fade effects
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- Slide in/out animations
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- Configurable transition speeds
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- Particle effects (optional)
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3. **Layout Modes**
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- Karaoke-style (word highlighting)
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- Ticker tape (scrolling bottom)
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- Multi-column for multiple users
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- Picture-in-picture mode
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4. **Web Display Customization**
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- CSS customization interface
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- Live preview in settings
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- Save/load custom styles
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- Community theme sharing
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### Audio Processing
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1. **Advanced Noise Reduction**
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- RNNoise integration
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- Custom noise profiles
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- Adaptive filtering
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- Echo cancellation
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2. **Audio Effects**
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- Equalization presets
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- Compression/normalization
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- Voice enhancement filters
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3. **Multi-Input Support**
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- Multiple microphones simultaneously
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- Virtual audio cable integration
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- Audio routing/mixing
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---
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## Phase 4: Integration & Automation
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### OBS Integration
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1. **OBS Plugin** (Advanced)
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- Native OBS plugin instead of browser source
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- Lower resource usage
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- Better performance
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- Tighter integration
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2. **Scene Integration**
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- Auto-show/hide based on speech
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- Integrate with OBS scene switcher
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- Hotkey support
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### Streaming Platform Integration
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1. **Twitch Integration**
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- Send captions to Twitch chat
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- Twitch API integration
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- Custom Twitch bot
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2. **YouTube Integration**
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- Live caption upload
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- YouTube API integration
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3. **Discord Integration**
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- Send transcriptions to Discord webhook
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- Discord bot for voice chat transcription
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### Automation
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1. **Hotkey Support**
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- Global hotkeys for start/stop
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- Toggle display visibility
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- Quick settings access
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2. **Voice Commands**
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- "Hey Transcription, start/stop"
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- Command detection in audio stream
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- Configurable wake words
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3. **Auto-Start Options**
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- Start with OBS
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- Start on system boot
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- Auto-detect streaming software
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---
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## Phase 5: Advanced Features
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### AI Enhancements
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1. **Summarization**
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- Real-time conversation summaries
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- Key point extraction
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- Topic detection
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2. **Sentiment Analysis**
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- Detect tone/emotion
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- Highlight important moments
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- Filter profanity (optional)
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3. **Context Awareness**
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- Remember conversation context
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- Better transcription accuracy
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- Adaptive vocabulary
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### Analytics & Insights
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1. **Usage Statistics**
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- Words per minute
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- Speaking time per user
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- Most common words/phrases
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- Accuracy metrics
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2. **Export Options**
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- Export to SRT/VTT for video captions
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- PDF/Word document export
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- CSV for data analysis
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- JSON API for custom tools
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3. **Search & Filter**
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- Search transcription history
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- Filter by user, date, keyword
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- Highlight search results
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### Accessibility
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1. **Screen Reader Support**
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- Full NVDA/JAWS compatibility
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- Keyboard navigation
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- Voice feedback
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2. **High Contrast Modes**
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- Enhanced visibility options
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- Color blind friendly palettes
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3. **Text-to-Speech**
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- Read back transcriptions
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- Multiple voice options
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- Speed control
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---
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## Performance Optimizations
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### Current Considerations
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1. **Model Optimization**
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- Quantization (int8, int4)
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- Smaller model variants
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- TensorRT optimization (NVIDIA)
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- ONNX Runtime support
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2. **Caching**
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- Cache common phrases
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- Model warm-up on startup
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- Preload frequently used resources
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3. **Resource Management**
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- Dynamic batch sizing
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- Memory pooling
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- Thread pool optimization
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### Future Optimizations
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1. **Distributed Processing**
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- Offload to cloud GPU
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- Share processing across multiple machines
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- Load balancing
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2. **Edge Computing**
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- Run on edge devices (Raspberry Pi)
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- Mobile app support
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- Embedded systems
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---
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## Community Features
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### Sharing & Collaboration
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1. **Theme Marketplace**
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- Share custom themes
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- Download community themes
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- Rating system
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2. **Plugin System**
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- Allow community plugins
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- Custom audio filters
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- Display widgets
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- Integration modules
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3. **Documentation**
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- Video tutorials
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- Wiki/knowledge base
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- API documentation
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- Developer guides
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### User Support
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1. **In-App Help**
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- Contextual help tooltips
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- Getting started wizard
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- Troubleshooting guide
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2. **Community Forum**
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- GitHub Discussions
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- Discord server
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- Reddit community
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---
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## Technical Debt & Maintenance
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### Code Quality
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1. **Testing**
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- Unit tests for core modules
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- Integration tests
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- End-to-end tests
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- Performance benchmarks
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2. **Documentation**
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- API documentation
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- Code comments
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- Architecture diagrams
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- Developer setup guide
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3. **CI/CD**
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- Automated builds
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- Automated testing
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- Release automation
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- Cross-platform testing
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### Security
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1. **Security Audits**
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- Dependency scanning
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- Vulnerability assessment
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- Code security review
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2. **Data Privacy**
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- Local-first by default
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- Optional cloud features
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- GDPR compliance (if applicable)
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- Clear privacy policy
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---
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## Immediate Quick Wins
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These are small enhancements that could be implemented quickly:
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### Easy (< 1 day)
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- [ ] Add application icon
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- [ ] Add "About" dialog with version info
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- [ ] Add keyboard shortcuts (Ctrl+S for settings, etc.)
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- [ ] Add system tray icon
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- [ ] Save window position/size
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- [ ] Add "Check for Updates" feature
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- [ ] Export transcriptions to text file
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### Medium (1-3 days)
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- [ ] Add profanity filter (optional)
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- [ ] Add confidence score display
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- [ ] Add audio level meter
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- [ ] Multiple language support in UI
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- [ ] Dark/light theme toggle
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- [ ] Backup/restore settings
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- [ ] Recent transcriptions history
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### Larger (1+ weeks)
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- [ ] Cloud sync for settings
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- [ ] Mobile companion app
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- [ ] Browser extension
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- [ ] API server mode
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- [ ] Plugin architecture
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- [ ] Advanced audio visualization
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---
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## Resources & References
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### Documentation
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- [Faster-Whisper](https://github.com/guillaumekln/faster-whisper)
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- [PySide6 Documentation](https://doc.qt.io/qtforpython/)
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- [FastAPI Documentation](https://fastapi.tiangolo.com/)
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- [PyInstaller Manual](https://pyinstaller.org/en/stable/)
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### Similar Projects
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- [whisper.cpp](https://github.com/ggerganov/whisper.cpp) - C++ implementation
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- [Buzz](https://github.com/chidiwilliams/buzz) - Desktop transcription tool
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- [OpenAI Whisper](https://github.com/openai/whisper) - Original implementation
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### Community
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- Create GitHub Discussions for feature requests
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- Set up issue templates
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- Contributing guidelines
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- Code of conduct
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---
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## Decision Log
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Track major architectural decisions here:
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### 2025-12-25: PyInstaller for Distribution
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- **Decision**: Use PyInstaller for creating standalone executables
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- **Rationale**: Good PySide6 support, active development, cross-platform
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- **Alternatives Considered**: cx_Freeze, Nuitka, py2exe
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- **Impact**: Users can run without Python installation
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### 2025-12-25: CUDA Build Strategy
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- **Decision**: Provide CUDA-enabled builds that bundle CUDA runtime
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- **Rationale**: Universal builds work everywhere, automatic GPU detection
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- **Trade-off**: Larger file size (~600MB extra) for better UX
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- **Impact**: Single build for both GPU and CPU users
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### 2025-12-25: Web Server Always Running
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- **Decision**: Remove enable/disable toggle, always run web server
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- **Rationale**: Simplifies UX, no configuration needed for OBS
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- **Impact**: Uses one local port (8080 by default), minimal overhead
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---
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## Contact & Contribution
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When this project is public:
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- **Issues**: Report bugs and request features on GitHub Issues
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- **Pull Requests**: Contributions welcome! See CONTRIBUTING.md
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- **Discussions**: Join GitHub Discussions for questions and ideas
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- **License**: [To be determined - consider MIT or Apache 2.0]
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---
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*Last Updated: 2025-12-25*
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*Version: 1.0.0 (Phase 1 Complete)*
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