Youtube Transcript FastAPI

Youtube Transcript FastAPI

YouTube FastAPI Server: Extract metadata, captions, and timestamps

Deploy Youtube Transcript FastAPI

youtube-api-server

chinpeerapat/youtube-api-server

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YouTube API Server

Unlock the full potential of YouTube content with our streamlined API server. This powerful tool allows developers to programmatically extract valuable data from YouTube videos, transforming passive content into structured, actionable information.

Why Deploy Our YouTube API Server?

Seamless Data Extraction

Extract rich metadata, full transcripts, and precise timestamps from any YouTube video with simple API calls. No more manual scraping or complex integration work.

Developer-Friendly Design

Built with FastAPI, our solution provides lightning-fast performance, comprehensive documentation via Swagger UI, and intuitive RESTful endpoints that follow modern API best practices.

Versatile Applications

  • Content Analysis: Analyze video transcripts for sentiment, topics, or keywords
  • Educational Tools: Create searchable archives of lecture content
  • Accessibility: Build better subtitle and navigation systems
  • Research: Extract information from video content at scale
  • SEO Optimization: Generate transcript-based content for improved discoverability

Easy Deployment

Get up and running in minutes with Docker support. Our containerized approach ensures consistent performance across any environment with minimal configuration.

Production-Ready Architecture

Designed with scalability in mind, featuring proper error handling, environment-based configuration, and CORS support for frontend integration.

Open Source Flexibility

Customize and extend functionality to meet your specific needs while building on a solid foundation.

Don't waste valuable development time rebuilding YouTube data extraction tools. Deploy our YouTube API Server today and focus on creating innovative applications with the extracted content!


Template Content

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Details

chin's Projects

Created on Mar 15, 2025

11 total projects

7 active projects

100% success on recent deploys

Python, Dockerfile

Other



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