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🎤 Real-time Titling Service - Project Summary

✅ Project Successfully Created!

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.

🏗️ What Was Built

Backend (Node.js)

  • 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

Frontend (React + TypeScript)

  • 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

Configuration & Documentation

  • 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

🚀 How to Run

Quick Start

cd /home/vlelicanin/Projects/translator/realtime-titling
./start.sh

Manual Start

# Backend
npm install
npm start

# Frontend (in another terminal)
cd frontend
npm install
npm start

Access Points

🎯 Key Features Implemented

US-1: Audio Streaming

  • Microphone access with permission handling
  • Real-time audio capture and streaming
  • Audio level monitoring and visualization

US-2: Real-time STT

  • Multiple STT service integrations
  • Configurable service switching
  • Confidence scoring and language detection

US-3: Translation

  • Optional real-time translation
  • Support for multiple target languages
  • Integrated translation pipeline

US-4: Live Subtitle Display

  • Real-time subtitle rendering
  • Confidence indicators
  • Translation display
  • Responsive design

US-5: Mock Service

  • Complete mock STT implementation
  • Predefined responses for testing
  • Simulated processing delays
  • Translation simulation

🔧 Technical Architecture

┌─────────────────┐    WebSocket    ┌─────────────────┐
│   React Frontend │ ◄─────────────► │  Node.js Backend │
│                 │                 │                 │
│ • Microphone    │                 │ • WebSocket     │
│ • Audio Capture │                 │ • STT Service   │
│ • Subtitle UI   │                 │ • Translation   │
└─────────────────┘                 └─────────────────┘
                                              │
                                              ▼
                                    ┌─────────────────┐
                                    │   STT Services  │
                                    │                 │
                                    │ • Mock          │
                                    │ • Google Cloud  │
                                    │ • OpenAI        │
                                    │ • Local AI      │
                                    └─────────────────┘

📁 Project Structure

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

🎛️ Configuration Options

STT Services

  • mock - Development/testing (default)
  • google - Google Cloud Speech-to-Text
  • openai - OpenAI Whisper API
  • local - Local AI service (LocalAI, etc.)

Translation

  • Enable/disable translation
  • Source/target language configuration
  • Real-time translation pipeline

WebSocket

  • Configurable heartbeat intervals
  • Connection limits
  • Automatic reconnection

🧪 Testing the MVP

  1. Start the service: ./start.sh
  2. Open browser: http://localhost:3000
  3. Allow microphone access
  4. Click "Start Recording"
  5. Watch live subtitles appear (mock service will show predefined responses)

🔄 Next Steps for Production

  1. Choose STT Service: Update .env with your preferred service
  2. Add API Keys: Configure Google Cloud or OpenAI credentials
  3. Deploy: Use the production build for deployment
  4. Scale: Add load balancing for multiple conferences

📊 Performance Features

  • 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

🎉 Ready to Use!

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! 🚀