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BackgroundFX Pro Documentation
AI-Powered Background Removal & Replacement Platform
📚 Documentation Overview
Welcome to the BackgroundFX Pro documentation! This comprehensive guide covers everything you need to know about using, deploying, and contributing to BackgroundFX Pro.
🚀 Quick Links
- Quick Start Guide - Get up and running in 5 minutes
- API Reference - Complete API documentation
- Tutorials - Step-by-step guides
- Architecture - System design and technical details
- Deployment - Production deployment guides
📖 Documentation Sections
For Users
-
- Installation and setup
- First background removal
- Understanding the interface
-
- Remove backgrounds from images
- Batch processing workflows
- Video background removal
- Custom background creation
- API integration examples
-
- Image optimization tips
- Quality settings guide
- Performance optimization
For Developers
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- Authentication
- Endpoints reference
- WebSocket events
- Error handling
- Rate limiting
-
- Python SDK
- JavaScript/TypeScript SDK
- Go client
- cURL examples
-
- Local environment setup
- Docker development
- Testing strategies
- Debugging tools
For DevOps/SRE
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- Docker deployment
- Kubernetes orchestration
- Cloud provider guides (AWS, GCP, Azure)
- CI/CD pipelines
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- System design
- Microservices architecture
- Database schema
- ML model pipeline
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- Metrics and logging
- Performance monitoring
- Alerting setup
- Backup strategies
🎯 Key Features
Image Processing
- AI-powered background removal using state-of-the-art models
- Smart edge detection with hair and fur preservation
- Batch processing for multiple images
- Real-time preview and adjustments
Video Processing
- Frame-by-frame processing with temporal consistency
- GPU acceleration for faster processing
- Multiple format support (MP4, MOV, WebM)
Background Management
- AI background generation from text prompts
- Background library with categories
- Custom background upload
- Smart background suggestions
API & Integration
- RESTful API with comprehensive endpoints
- WebSocket support for real-time updates
- Webhook notifications
- Multiple SDKs for easy integration
🔧 Technology Stack
- Backend: Python, FastAPI, Celery
- Frontend: Next.js, React, TypeScript
- ML Models: PyTorch, TensorFlow, ONNX
- Infrastructure: Docker, Kubernetes, Redis
- Database: PostgreSQL, MongoDB
- Storage: S3-compatible object storage
📊 Performance Metrics
| Metric | Value |
|---|---|
| Average processing time (image) | < 2 seconds |
| Average processing time (video) | 1-2 fps |
| API response time (p99) | < 100ms |
| Uptime SLA | 99.9% |
| Maximum file size | 50MB (image), 500MB (video) |
| Concurrent processing | 100+ requests |
🔐 Security & Compliance
- End-to-end encryption for file transfers
- GDPR compliant with data privacy controls
- SOC 2 Type II certified infrastructure
- Regular security audits and penetration testing
- Automatic data deletion after processing
📈 Version History
| Version | Release Date | Highlights |
|---|---|---|
| 1.0.0 | 2024-01-15 | Initial release with core features |
| 0.9.0 | 2023-12-01 | Beta release with API |
| 0.8.0 | 2023-10-15 | Alpha release |
See CHANGELOG.md for detailed version history.
🤝 Community & Support
Get Help
- 📧 Email: support@backgroundfx.pro
- 💬 Discord: Join our community
- 🐛 Issues: GitHub Issues
- 📚 Forum: Community Forum
Contributing
We welcome contributions! Please see our Contributing Guide for details.
Resources
- 🎥 Video Tutorials: YouTube Channel
- 📝 Blog: Technical Blog
- 🐦 Twitter: @backgroundfx
- 📰 Newsletter: Subscribe for updates
📄 License
BackgroundFX Pro is licensed under the MIT License. See LICENSE for details.