YTAutoMate Template

YTAutoMate Template

YTAutoMate is a powerful Docker-based solution that automates YouTube video processing using FFmpeg for video manipulation and Whisper AI for speech recognition.

YTAutoMate

Why Choose This Template?

  • Automated Processing: Streamline video content processing with minimal manual intervention
  • AI-Powered Transcription: Generate accurate subtitles and transcripts using Whisper AI
  • S3 Integration: Easy integration with S3/Minio storage for scalable content management
  • API-First Design: RESTful API endpoints for seamless integration with existing workflows

CloudStation Advantages

  • GPU Support: Optional GPU acceleration for faster processing
  • Scalable Architecture: Handle multiple video processing tasks efficiently
  • Automated Deployment: Quick setup with pre-configured Docker environment
  • Monitoring Tools: Built-in job status tracking and health checks

Perfect For

  • Content Creators: Automate video post-processing workflows
  • Media Companies: Scale video processing operations
  • Developers: Integrate video processing into existing applications
  • Educational Institutions: Process and transcribe educational content

Resource Requirements

Recommended specifications for optimal performance:

  • CPU: 1 vCPU - For video processing tasks
  • RAM: 2 GB - For application operations
  • Storage: System volume only
  • GPU: Optional, NVIDIA GPU with CUDA support
  • Cost: $23.97 per month - Estimated running costs

Components

ComponentCountPurpose
Databases0Not required
Docker Images1YTAutoMate container
Services0Standalone service
Repositories0Not required

API Reference

Authentication

All endpoints except /health require API key authentication.

Key Endpoints

GET    /              # Web interface
POST   /check_api_key # API key validation
POST   /upload        # File upload endpoint
POST   /convert_and_transcribe # Process videos
GET    /job_status/<job_id>   # Check processing status
GET    /health        # System health check

Deployment Steps

  1. Choose CPU or GPU deployment option
  2. Configure S3/Minio credentials
  3. Set up API authentication
  4. Deploy container
  5. Start processing content

Support and Resources

#VideoProcessing #AI #Automation #FFmpeg #WhisperAI #ContentCreation #Docker #CloudComputing



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