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Youtube2Text

by dm-nosov
README.md4.42 kB
# YouTube2Text - Video Transcription API A powerful text extraction service that converts YouTube video content into clean, timestampless transcripts for content analysis, research, and processing workflows. ## Overview YouTube2Text transforms YouTube videos into readable text by removing subtitle timing markers and metadata, delivering pure content suitable for: - Content analysis and insights - Text summarization workflows - Research and documentation - Content generation pipelines - Natural language processing tasks ## Quick Start Begin with a demo API key from [https://api.youtube2text.org](https://api.youtube2text.org). For consistent access and higher usage limits, upgrade to a subscription plan. ## API Reference **Base URL**: `https://api.youtube2text.org` **Transcription Endpoint**: `/transcribe` ### Request Format Send POST requests with these parameters: | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `url` | string | Yes | Complete YouTube video URL | | `maxChars` | number | No | Character limit (default: 150,000) | ### Authentication Include your API key in the request header: ``` x-api-key: YOUR_API_KEY ``` ### HTTP Status Codes | Code | Meaning | |------|---------| | 200 | Transcription successful | | 400 | Invalid request parameters | | 401 | Authentication failed | | 404 | Video or transcript not found | | 429 | Rate limit exceeded | | 500 | Server error | ### Error Types - `VALIDATION_ERROR`: Parameter validation failed - `UNAUTHORIZED`: Invalid API credentials - `VIDEO_NOT_FOUND`: YouTube video unavailable - `TRANSCRIPT_UNAVAILABLE`: No captions available - `INVALID_URL`: Malformed video URL - `RATE_LIMIT_EXCEEDED`: Quota or rate limit reached - `INTERNAL_ERROR`: Server-side issue ## Examples This directory contains examples of how to use the YouTube2Text API with different AI models and in different programming languages. ### Python * [Anthropic Claude Integration](./examples/python/anthropic_claude_integration.py) * [OpenAI Integration](./examples/python/openai_integration.py) * [Google Gemini Integration](./examples/python/google_gemini_integration.py) ### JavaScript * [Anthropic Claude Integration](./examples/javascript/anthropic_claude_integration.js) * [OpenAI Integration](./examples/javascript/openai_integration.js) * [Google Gemini Integration](./examples/javascript/google_gemini_integration.js) ### TypeScript * [Anthropic Claude Integration](./examples/typescript/anthropic_claude_integration.ts) * [OpenAI Integration](./examples/typescript/openai_integration.ts) * [Google Gemini Integration](./examples/typescript/google_gemini_integration.ts) ## Automation Integration ### Workflow Automation The API integrates with popular automation platforms: - **Zapier**: Connect via MCP integration for triggered workflows - **n8n**: Use HTTP request nodes or MCP connectors for process automation - **Make (Integromat)**: HTTP modules for video processing pipelines ### Example Workflow Ideas 1. **Content Pipeline**: YouTube → Transcription → Summary → Social Media Posts 2. **Research Automation**: Video URLs → Transcripts → Analysis → Report Generation 3. **Content Monitoring**: Channel Watching → New Videos → Auto-transcription → Alerts ## Response Examples ### Successful Response ```json { "result": { "videoId": "dQw4w9WgXcQ", "title": "Rick Astley - Never Gonna Give You Up (Official Video)", "pubDate": "2009-10-25T07:57:33-07:00", "content": "We're no strangers to love You know the rules and so do I...", "contentSize": 1337, "truncated": false } } ``` ### Error Response ```json { "error": { "code": "RATE_LIMIT_EXCEEDED", "message": "Monthly quota exceeded", "status": 429, "retryAfterSeconds": 3600, "details": "Upgrade plan for higher limits" } } ``` ## Best Practices - Store API keys securely using environment variables - Implement proper error handling for all status codes - Respect rate limits and implement retry logic with exponential backoff - Cache transcripts locally when possible to avoid redundant API calls - Monitor usage to stay within quota limits - Use appropriate `maxChars` limits for your use case ## Support For additional examples, troubleshooting, and advanced integration patterns, visit the project repository or API documentation.

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