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.

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

Component	Count	Purpose
Databases	0	Not required
Docker Images	1	YTAutoMate container
Services	0	Standalone service
Repositories	0	Not 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