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Initial commit: Local Transcription App v1.0

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Phase 1 Complete - Standalone Desktop Application

Features:
- Real-time speech-to-text with Whisper (faster-whisper)
- PySide6 desktop GUI with settings dialog
- Web server for OBS browser source integration
- Audio capture with automatic sample rate detection and resampling
- Noise suppression with Voice Activity Detection (VAD)
- Configurable display settings (font, timestamps, fade duration)
- Settings apply without restart (with automatic model reloading)
- Auto-fade for web display transcriptions
- CPU/GPU support with automatic device detection
- Standalone executable builds (PyInstaller)
- CUDA build support (works on systems without CUDA hardware)

Components:
- Audio capture with sounddevice
- Noise reduction with noisereduce + webrtcvad
- Transcription with faster-whisper
- GUI with PySide6
- Web server with FastAPI + WebSocket
- Configuration system with YAML

Build System:
- Standard builds (CPU-only): build.sh / build.bat
- CUDA builds (universal): build-cuda.sh / build-cuda.bat
- Comprehensive BUILD.md documentation
- Cross-platform support (Linux, Windows)

Documentation:
- README.md with project overview and quick start
- BUILD.md with detailed build instructions
- NEXT_STEPS.md with future enhancement roadmap
- INSTALL.md with setup instructions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-25 18:48:23 -08:00
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# Next Steps for Local Transcription
This document outlines potential future enhancements and features for the Local Transcription application.
## Current Status: Phase 1 Complete ✅
The application currently has:
- ✅ Desktop GUI with PySide6
- ✅ Real-time transcription with Whisper (faster-whisper)
- ✅ Audio capture with automatic sample rate detection and resampling
- ✅ Noise suppression with Voice Activity Detection (VAD)
- ✅ Web server for OBS browser source integration
- ✅ Configurable display settings (font, timestamps, fade duration)
- ✅ Settings apply without restart
- ✅ Auto-fade for web display
- ✅ Standalone executable builds for Linux and Windows
- ✅ CUDA support (with automatic CPU fallback)
## Phase 2: Multi-User Server Architecture (Optional)
If you want to enable multiple users to sync their transcriptions to a shared display:
### Server Components
1. **WebSocket Server**
- Accept connections from multiple clients
- Aggregate transcriptions from all connected users
- Broadcast to web display clients
- Handle user authentication/authorization
- Rate limiting and abuse prevention
2. **Database/Storage** (Optional)
- Store transcription history
- User management
- Session logs for later review
- Consider: SQLite, PostgreSQL, or Redis
3. **Web Admin Interface**
- Monitor connected clients
- View active sessions
- Manage users and permissions
- Export transcription logs
### Client Updates
1. **Server Sync Toggle**
- Enable/disable server sync in Settings
- Server URL configuration
- API key/authentication setup
- Connection status indicator
2. **Network Handling**
- Auto-reconnect on connection loss
- Queue transcriptions when offline
- Sync when connection restored
### Implementation Technologies
- **Server Framework**: FastAPI (already used for web display)
- **WebSocket**: Already integrated
- **Database**: SQLAlchemy + SQLite/PostgreSQL
- **Deployment**: Docker container for easy deployment
**Estimated Effort**: 2-3 weeks for full implementation
---
## Phase 3: Enhanced Features
### Transcription Improvements
1. **Multi-Language Support**
- Automatic language detection
- Real-time language switching
- Translation between languages
- Per-user language settings
2. **Speaker Diarization**
- Detect and label different speakers
- Use pyannote.audio or similar
- Automatically assign speaker IDs
3. **Custom Vocabulary**
- Add gaming terms, streamer names
- Technical jargon support
- Proper noun correction
4. **Punctuation & Formatting**
- Automatic punctuation insertion
- Sentence capitalization
- Better text formatting
### Display Enhancements
1. **Theme System**
- Light/dark themes
- Custom color schemes
- User-created themes (JSON/YAML)
- Per-element styling
2. **Animation Options**
- Different fade effects
- Slide in/out animations
- Configurable transition speeds
- Particle effects (optional)
3. **Layout Modes**
- Karaoke-style (word highlighting)
- Ticker tape (scrolling bottom)
- Multi-column for multiple users
- Picture-in-picture mode
4. **Web Display Customization**
- CSS customization interface
- Live preview in settings
- Save/load custom styles
- Community theme sharing
### Audio Processing
1. **Advanced Noise Reduction**
- RNNoise integration
- Custom noise profiles
- Adaptive filtering
- Echo cancellation
2. **Audio Effects**
- Equalization presets
- Compression/normalization
- Voice enhancement filters
3. **Multi-Input Support**
- Multiple microphones simultaneously
- Virtual audio cable integration
- Audio routing/mixing
---
## Phase 4: Integration & Automation
### OBS Integration
1. **OBS Plugin** (Advanced)
- Native OBS plugin instead of browser source
- Lower resource usage
- Better performance
- Tighter integration
2. **Scene Integration**
- Auto-show/hide based on speech
- Integrate with OBS scene switcher
- Hotkey support
### Streaming Platform Integration
1. **Twitch Integration**
- Send captions to Twitch chat
- Twitch API integration
- Custom Twitch bot
2. **YouTube Integration**
- Live caption upload
- YouTube API integration
3. **Discord Integration**
- Send transcriptions to Discord webhook
- Discord bot for voice chat transcription
### Automation
1. **Hotkey Support**
- Global hotkeys for start/stop
- Toggle display visibility
- Quick settings access
2. **Voice Commands**
- "Hey Transcription, start/stop"
- Command detection in audio stream
- Configurable wake words
3. **Auto-Start Options**
- Start with OBS
- Start on system boot
- Auto-detect streaming software
---
## Phase 5: Advanced Features
### AI Enhancements
1. **Summarization**
- Real-time conversation summaries
- Key point extraction
- Topic detection
2. **Sentiment Analysis**
- Detect tone/emotion
- Highlight important moments
- Filter profanity (optional)
3. **Context Awareness**
- Remember conversation context
- Better transcription accuracy
- Adaptive vocabulary
### Analytics & Insights
1. **Usage Statistics**
- Words per minute
- Speaking time per user
- Most common words/phrases
- Accuracy metrics
2. **Export Options**
- Export to SRT/VTT for video captions
- PDF/Word document export
- CSV for data analysis
- JSON API for custom tools
3. **Search & Filter**
- Search transcription history
- Filter by user, date, keyword
- Highlight search results
### Accessibility
1. **Screen Reader Support**
- Full NVDA/JAWS compatibility
- Keyboard navigation
- Voice feedback
2. **High Contrast Modes**
- Enhanced visibility options
- Color blind friendly palettes
3. **Text-to-Speech**
- Read back transcriptions
- Multiple voice options
- Speed control
---
## Performance Optimizations
### Current Considerations
1. **Model Optimization**
- Quantization (int8, int4)
- Smaller model variants
- TensorRT optimization (NVIDIA)
- ONNX Runtime support
2. **Caching**
- Cache common phrases
- Model warm-up on startup
- Preload frequently used resources
3. **Resource Management**
- Dynamic batch sizing
- Memory pooling
- Thread pool optimization
### Future Optimizations
1. **Distributed Processing**
- Offload to cloud GPU
- Share processing across multiple machines
- Load balancing
2. **Edge Computing**
- Run on edge devices (Raspberry Pi)
- Mobile app support
- Embedded systems
---
## Community Features
### Sharing & Collaboration
1. **Theme Marketplace**
- Share custom themes
- Download community themes
- Rating system
2. **Plugin System**
- Allow community plugins
- Custom audio filters
- Display widgets
- Integration modules
3. **Documentation**
- Video tutorials
- Wiki/knowledge base
- API documentation
- Developer guides
### User Support
1. **In-App Help**
- Contextual help tooltips
- Getting started wizard
- Troubleshooting guide
2. **Community Forum**
- GitHub Discussions
- Discord server
- Reddit community
---
## Technical Debt & Maintenance
### Code Quality
1. **Testing**
- Unit tests for core modules
- Integration tests
- End-to-end tests
- Performance benchmarks
2. **Documentation**
- API documentation
- Code comments
- Architecture diagrams
- Developer setup guide
3. **CI/CD**
- Automated builds
- Automated testing
- Release automation
- Cross-platform testing
### Security
1. **Security Audits**
- Dependency scanning
- Vulnerability assessment
- Code security review
2. **Data Privacy**
- Local-first by default
- Optional cloud features
- GDPR compliance (if applicable)
- Clear privacy policy
---
## Immediate Quick Wins
These are small enhancements that could be implemented quickly:
### Easy (< 1 day)
- [ ] Add application icon
- [ ] Add "About" dialog with version info
- [ ] Add keyboard shortcuts (Ctrl+S for settings, etc.)
- [ ] Add system tray icon
- [ ] Save window position/size
- [ ] Add "Check for Updates" feature
- [ ] Export transcriptions to text file
### Medium (1-3 days)
- [ ] Add profanity filter (optional)
- [ ] Add confidence score display
- [ ] Add audio level meter
- [ ] Multiple language support in UI
- [ ] Dark/light theme toggle
- [ ] Backup/restore settings
- [ ] Recent transcriptions history
### Larger (1+ weeks)
- [ ] Cloud sync for settings
- [ ] Mobile companion app
- [ ] Browser extension
- [ ] API server mode
- [ ] Plugin architecture
- [ ] Advanced audio visualization
---
## Resources & References
### Documentation
- [Faster-Whisper](https://github.com/guillaumekln/faster-whisper)
- [PySide6 Documentation](https://doc.qt.io/qtforpython/)
- [FastAPI Documentation](https://fastapi.tiangolo.com/)
- [PyInstaller Manual](https://pyinstaller.org/en/stable/)
### Similar Projects
- [whisper.cpp](https://github.com/ggerganov/whisper.cpp) - C++ implementation
- [Buzz](https://github.com/chidiwilliams/buzz) - Desktop transcription tool
- [OpenAI Whisper](https://github.com/openai/whisper) - Original implementation
### Community
- Create GitHub Discussions for feature requests
- Set up issue templates
- Contributing guidelines
- Code of conduct
---
## Decision Log
Track major architectural decisions here:
### 2025-12-25: PyInstaller for Distribution
- **Decision**: Use PyInstaller for creating standalone executables
- **Rationale**: Good PySide6 support, active development, cross-platform
- **Alternatives Considered**: cx_Freeze, Nuitka, py2exe
- **Impact**: Users can run without Python installation
### 2025-12-25: CUDA Build Strategy
- **Decision**: Provide CUDA-enabled builds that bundle CUDA runtime
- **Rationale**: Universal builds work everywhere, automatic GPU detection
- **Trade-off**: Larger file size (~600MB extra) for better UX
- **Impact**: Single build for both GPU and CPU users
### 2025-12-25: Web Server Always Running
- **Decision**: Remove enable/disable toggle, always run web server
- **Rationale**: Simplifies UX, no configuration needed for OBS
- **Impact**: Uses one local port (8080 by default), minimal overhead
---
## Contact & Contribution
When this project is public:
- **Issues**: Report bugs and request features on GitHub Issues
- **Pull Requests**: Contributions welcome! See CONTRIBUTING.md
- **Discussions**: Join GitHub Discussions for questions and ideas
- **License**: [To be determined - consider MIT or Apache 2.0]
---
*Last Updated: 2025-12-25*
*Version: 1.0.0 (Phase 1 Complete)*