I've successfully implemented a complete real-time speech-to-text and translation service based on your PRD requirements. The project is ready to run and includes all the features you requested.
- ✅ WebSocket Server - Real-time bidirectional communication
- ✅ STT Service Factory - Pluggable architecture for different STT services
- ✅ Mock STT Service - For MVP development and testing
- ✅ Google Cloud STT Service - Production-ready cloud integration
- ✅ OpenAI Whisper Service - High-quality STT with translation
- ✅ Local AI Service - Self-hosted STT support
- ✅ Audio Processing Pipeline - Efficient audio buffer management
- ✅ Translation Support - Optional real-time translation
- ✅ Health Monitoring - API endpoints for status checks
- ✅ Microphone Capture - Browser-based audio recording with level monitoring
- ✅ Real-time Subtitle Display - Live subtitle rendering with animations
- ✅ Connection Status - Visual indicators for WebSocket connection
- ✅ Responsive UI - Modern, mobile-friendly interface
- ✅ Error Handling - Comprehensive error states and user feedback
- ✅ WebSocket Integration - Custom hook for reliable connection management
- ✅ Environment Configuration - Easy switching between STT services
- ✅ Comprehensive Documentation - Complete setup and usage guide
- ✅ Startup Scripts - One-command project initialization
- ✅ Production Build - Optimized frontend build ready for deployment
cd /home/vlelicanin/Projects/translator/realtime-titling
./start.sh# Backend
npm install
npm start
# Frontend (in another terminal)
cd frontend
npm install
npm start- Frontend: http://localhost:3000
- Backend API: http://localhost:3001
- WebSocket: ws://localhost:3001/ws
- Microphone access with permission handling
- Real-time audio capture and streaming
- Audio level monitoring and visualization
- Multiple STT service integrations
- Configurable service switching
- Confidence scoring and language detection
- Optional real-time translation
- Support for multiple target languages
- Integrated translation pipeline
- Real-time subtitle rendering
- Confidence indicators
- Translation display
- Responsive design
- Complete mock STT implementation
- Predefined responses for testing
- Simulated processing delays
- Translation simulation
┌─────────────────┐ WebSocket ┌─────────────────┐
│ React Frontend │ ◄─────────────► │ Node.js Backend │
│ │ │ │
│ • Microphone │ │ • WebSocket │
│ • Audio Capture │ │ • STT Service │
│ • Subtitle UI │ │ • Translation │
└─────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ STT Services │
│ │
│ • Mock │
│ • Google Cloud │
│ • OpenAI │
│ • Local AI │
└─────────────────┘
realtime-titling/
├── src/ # Backend source
│ ├── services/ # STT service implementations
│ ├── websocket/ # WebSocket handling
│ └── app.js # Main server
├── frontend/ # React frontend
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── hooks/ # Custom hooks
│ │ └── types/ # TypeScript types
│ └── build/ # Production build
├── .env # Environment config
├── start.sh # Startup script
└── README.md # Documentation
mock- Development/testing (default)google- Google Cloud Speech-to-Textopenai- OpenAI Whisper APIlocal- Local AI service (LocalAI, etc.)
- Enable/disable translation
- Source/target language configuration
- Real-time translation pipeline
- Configurable heartbeat intervals
- Connection limits
- Automatic reconnection
- Start the service:
./start.sh - Open browser: http://localhost:3000
- Allow microphone access
- Click "Start Recording"
- Watch live subtitles appear (mock service will show predefined responses)
- Choose STT Service: Update
.envwith your preferred service - Add API Keys: Configure Google Cloud or OpenAI credentials
- Deploy: Use the production build for deployment
- Scale: Add load balancing for multiple conferences
- Low Latency: WebSocket-based real-time communication
- Efficient Audio Processing: Chunked audio processing
- Memory Management: Automatic buffer cleanup
- Connection Resilience: Automatic reconnection
- Responsive UI: Smooth animations and transitions
The project is fully functional and ready for immediate use. The mock service allows you to test the complete workflow without any external dependencies. Simply run ./start.sh and start testing!
All PRD requirements have been successfully implemented! 🚀