158 lines
4.3 KiB
Plaintext
158 lines
4.3 KiB
Plaintext
# YouTube Summarizer Web Application - Product Requirements Document
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## Product Overview
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A web-based application that allows users to input YouTube video URLs and receive AI-generated summaries, key points, and insights. The application will support multiple AI models, provide various export formats, and include caching for efficiency.
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## Target Users
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- Students and researchers who need to quickly understand video content
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- Content creators analyzing competitor videos
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- Professionals extracting insights from educational content
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- Anyone wanting to save time by getting video summaries
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## Core Features
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### MVP Features (Phase 1)
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1. YouTube URL input and validation
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2. Automatic transcript extraction from YouTube videos
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3. AI-powered summary generation using at least one model
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4. Basic web interface for input and display
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5. Summary display with key points
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6. Copy-to-clipboard functionality
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7. Basic error handling and user feedback
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### Enhanced Features (Phase 2)
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1. Multiple AI model support (OpenAI, Anthropic, DeepSeek)
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2. Model selection by user
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3. Summary customization (length, style, focus)
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4. Chapter/timestamp generation
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5. Export to multiple formats (Markdown, PDF, TXT)
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6. Summary history and retrieval
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7. Caching system to reduce API calls
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8. Rate limiting and quota management
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### Advanced Features (Phase 3)
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1. Batch processing of multiple videos
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2. Playlist summarization
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3. Real-time progress updates via WebSocket
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4. User authentication and personal libraries
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5. Summary sharing and collaboration
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6. Advanced search within summaries
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7. API endpoints for programmatic access
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8. Integration with note-taking apps
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## Technical Requirements
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### Frontend
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- Responsive web interface
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- Clean, intuitive design
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- Real-time status updates
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- Mobile-friendly layout
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- Dark/light theme support
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### Backend
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- FastAPI framework for API development
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- Async processing for better performance
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- Robust error handling
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- Comprehensive logging
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- Database for storing summaries
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- Queue system for batch processing
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### AI Integration
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- Support for multiple AI providers
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- Fallback mechanisms between models
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- Token usage optimization
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- Response streaming for long summaries
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- Context window management
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### YouTube Integration
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- YouTube Transcript API integration
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- Fallback to YouTube Data API when needed
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- Support for multiple video formats
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- Auto-language detection
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- Subtitle preference handling
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### Data Storage
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- SQLite for development, PostgreSQL for production
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- Efficient caching strategy
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- Summary versioning
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- User preference storage
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- Usage analytics
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## Performance Requirements
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- Summary generation within 30 seconds for average video
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- Support for videos up to 3 hours long
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- Handle 100 concurrent users
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- 99% uptime availability
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- Response time under 2 seconds for cached content
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## Security Requirements
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- Secure API key management
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- Input sanitization
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- Rate limiting per IP/user
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- CORS configuration
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- SQL injection prevention
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- XSS protection
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## User Experience Requirements
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- Clear loading indicators
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- Helpful error messages
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- Intuitive navigation
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- Accessible design (WCAG 2.1)
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- Multi-language support (future)
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## Success Metrics
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- Average summary generation time
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- User satisfaction rating
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- API usage efficiency
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- Cache hit rate
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- Error rate below 1%
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- User retention rate
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## Constraints
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- Must work with free tier of AI services initially
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- Should minimize API costs through caching
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- Must respect YouTube's terms of service
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- Should handle rate limits gracefully
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## Development Phases
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### Phase 1: MVP (Week 1-2)
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- Basic functionality
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- Single AI model
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- Simple web interface
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- Core summarization features
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### Phase 2: Enhancement (Week 3-4)
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- Multiple AI models
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- Export features
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- Caching system
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- Improved UI/UX
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### Phase 3: Advanced (Week 5-6)
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- User accounts
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- Batch processing
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- API development
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- Advanced features
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## Testing Requirements
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- Unit tests for all services
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- Integration tests for API endpoints
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- End-to-end testing for critical flows
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- Performance testing
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- Security testing
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- User acceptance testing
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## Documentation Requirements
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- API documentation
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- User guide
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- Developer setup guide
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- Deployment instructions
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- Troubleshooting guide
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## Future Considerations
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- Mobile application
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- Browser extension
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- Podcast support
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- Video clip extraction
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- AI-powered Q&A on video content
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- Integration with learning management systems |