VideoPod - Video Processing SaaS

A full-stack SaaS application for intelligent video processing, featuring compression, stabilization, and AI-powered key moment extraction.

🚀 Key Features

• Video Compression: Achieve up to 60% reduction in video file size while maintaining quality
• Video Stabilization: Smooth out shaky footage for professional-looking results
• AI Key Moment Extraction: Automatically identify and extract important moments from videos using AI analysis
• Scalable Architecture: Optimized for handling multiple concurrent video processing tasks

📊 Performance

• Average Compression: 60% reduction in video size
• Test Coverage: Successfully processed 15+ test videos
• Resource Efficiency: Optimized for resource-constrained Docker environments
• Production Ready: Deployed and tested on DigitalOcean infrastructure

🛠️ Tech Stack

Frontend

• React.js - Modern UI framework for building responsive interfaces

Backend

• Node.js - Server-side runtime for handling API requests and video processing
• FFmpeg - Core video processing engine for compression and stabilization
• VOSK - Speech recognition for audio analysis
• Gemini API - AI-powered analysis for key moment detection

Infrastructure

• Docker - Containerization for consistent deployment
• NGINX - Reverse proxy and load balancing
• DigitalOcean - Cloud hosting platform

🏗️ Architecture

The application follows a microservices architecture with containerized components:

┌─────────────┐      ┌──────────────┐      ┌─────────────┐
│   React.js  │ ───> │    NGINX     │ ───> │   Node.js   │
│   Frontend  │      │ Reverse Proxy│      │   Backend   │
└─────────────┘      └──────────────┘      └─────────────┘
                                                   │
                                                   ├─> FFmpeg
                                                   ├─> VOSK
                                                   └─> Gemini API

🚦 Getting Started

Prerequisites

• Node.js (v14 or higher)
• Docker and Docker Compose
• FFmpeg installed locally (for development)

Installation

1. Clone the repository:

git clone https://github.com/Siddhartha-0709/VideoPod
cd VideoPod

2. Install dependencies:

# Install backend dependencies
cd backend
npm install

# Install frontend dependencies
cd ../frontend
npm install

3. Set up environment variables:

cp .env.example .env
# Edit .env with your configuration

4. Run with Docker:

docker-compose up -d

The application will be available at http://localhost:3000

📝 Environment Variables

# Backend
NODE_ENV=production
PORT=5000
GEMINI_API_KEY=your_gemini_api_key

# Frontend
REACT_APP_API_URL=http://localhost:5000

# Docker
DOCKER_MEMORY_LIMIT=2g
DOCKER_CPU_LIMIT=2

🎯 Usage

1. Upload Video: Select a video file from your device
2. Choose Processing Options:
   • Enable compression for smaller file sizes
   • Apply stabilization for smoother playback
   • Enable AI analysis for key moment extraction
3. Process: Click process and wait for the optimized video
4. Download: Download the processed video and key moments report

🔧 Configuration

FFmpeg Optimization

The application uses optimized FFmpeg settings for resource-constrained environments:

• H.264 codec with CRF 23 for compression
• 2-pass encoding for better quality
• Hardware acceleration when available

CPU/RAM Optimization

• Containerized resource limits to prevent memory overflow
• Queue-based processing to handle multiple videos
• Automatic cleanup of temporary files

📈 Performance Optimization

• Compression: Utilizes H.264 codec with optimized CRF values
• Parallel Processing: Handles multiple videos concurrently with queue management
• Caching: Implements caching strategies for faster repeated processing
• Resource Management: CPU and RAM limits configured for optimal performance

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🙏 Acknowledgments

• FFmpeg community for the powerful video processing library
• VOSK team for speech recognition capabilities
• Google Gemini for AI-powered analysis

Project Link: https://github.com/yourusername/video-processing-saas

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