gemneye/ffmpeg-beastmode repository overview

⁠FFmpeg API: Advanced Multimedia Processing Platform

⁠🎬 Overview

FFmpeg API is a sophisticated, scalable REST API for advanced multimedia processing, offering cutting-edge features for video and audio manipulation. Built with Python 3.11 and FastAPI, this microservice provides robust, secure, and performant multimedia transformation capabilities.

⁠🚀 Key Features

• WhisperX Audio Transcription: Word-level audio transcription with precise timing
• Ken Burns Effect Generator: Dynamic slideshow creation with intelligent pan and zoom
• Chatterbox Text-to-Speech (TTS): Advanced voice generation with voice cloning and customization
• Comprehensive FFmpeg Processing: Wide range of video and audio transformation endpoints
• Real-time WebSocket Communication: Live job status and progress tracking
• Prometheus Metrics: Comprehensive performance monitoring
• Docker Containerization: Easy deployment and scaling
• Voice Management System: Voice reference uploads and management
• Video Overlay System: Dynamic visual effects and branding capabilities

⁠🛠 Tech Stack

• Language: Python 3.11
• Web Framework: FastAPI
• Task Queue: Celery
• Message Broker: Redis
• Monitoring:
  • Prometheus
  • Grafana
• Containerization: Docker
• Core Processing: FFmpeg

⁠📦 System Architecture

⁠Core Components

• main.py (672 lines): Primary FastAPI application with advanced routing
• worker.py (2185 lines): Celery background task processing
• security.py (342 lines): FFmpeg command validation
• metrics.py (210 lines): Prometheus metrics collection
• websocket_manager.py (302 lines): Real-time communication
• voice_storage.py (245 lines): Voice asset management
• overlay_manager.py (228 lines): Video overlay system

⁠Services

1. FFmpeg API: REST multimedia processing endpoints
2. Redis: Background task message broker
3. Celery Worker: Asynchronous task processing
4. Prometheus: Metrics collection
5. Grafana: Performance visualization
6. Nginx: Reverse proxy and SSL termination
7. WebSocket Manager: Real-time job tracking

⁠🚀 Quick Start

⁠Prerequisites

• Docker
• Docker Compose
• Python 3.11+

⁠Installation

# Clone the repository
git clone https://github.com/your-org/ffmpeg-api.git
cd ffmpeg-api

# Start all services
docker-compose up -d

# Verify health
curl http://localhost:8000/health

⁠Development

# Access Swagger UI for API documentation
http://localhost:8000/docs

# Monitor logs
docker-compose logs -f ffmpeg-api

# Access Grafana dashboard
http://localhost:3000

⁠🔒 Security Considerations

• Command Injection Prevention: Comprehensive FFmpeg command validation
• File Upload Restrictions: Strict file type and size validations
• Credential Management: No hardcoded credentials
• Network Isolation: Containerized with controlled network access

⁠Known Security Limitations

• Authentication system under development
• Rate limiting not yet implemented

⁠🛠 Current Development Status

• FFmpeg processing endpoints
• Asynchronous task processing
• WebSocket communication
• Prometheus metrics
• Docker containerization
• Voice Management System
• Video Overlay System
• Infrastructure stability improvements
• Full authentication system
• Advanced rate limiting

⁠📄 Documentation

For comprehensive details, refer to:

• ARCHITECTURE.md: Detailed system design
• API.md: Endpoint specifications
• CONFIG.md: Environment configuration
• CONTRIBUTING.md: Development guidelines
• TASKS.md: Active development tasks

⁠🐛 Issues & Contributions

Please report issues on our GitHub repository. Contributions are welcome via pull requests.

⁠📜 License

[Specify your license here]

⁠📊 Performance Metrics

• Supported Formats: 25+ video and audio formats
• Processing Speed: Ultra-low latency multimedia transformations
• Scalability: Highly resilient and horizontally scalable
• Asset Management: Robust voice and overlay storage infrastructure
• Voice Capabilities: Advanced cloning and customization

Generated with 🤖 Claude Code | Last Updated: 2025-08-16