TranscriptFetch

What is TranscriptFetch?

TranscriptFetch is a transcript API for AI pipelines that extracts timestamped text from YouTube, TikTok, Instagram, and podcasts. It fills a gap where valuable spoken content exists only as video, giving RAG systems and agents a reliable way to pull quotes. Developers can use it to feed transcripts into LLMs, knowledge bases, or automation tools without dealing with platform scrapers.

What are the features of TranscriptFetch?

• Multi-Platform Transcripts: Returns timestamped segments from YouTube, TikTok, Instagram, Spotify, Apple Podcasts, and RSS feeds in one consistent response shape.
• AI Transcription Fallback: When a video lacks captions, the audio is transcribed automatically so you get text for approximately 96% of URLs instead of empty results.
• Channel & Playlist Listing: Resolve a YouTube channel or playlist into a paginated video list, polling with since_video_id to track new content.
• Agent-Ready MCP Server: A hosted Model Context Protocol server lets Claude, ChatGPT, Cursor, and other agents fetch transcripts directly with no glue code.
• Batch & Concurrent Jobs: Pro and Mega plans support concurrent batch fetches and whole-channel workloads, with unused credits rolling over each month.
• Prebuilt Integrations: Native nodes for n8n, Make, Zapier, and VS Code Copilot let you plug transcripts into existing workflows without custom scripting.

What are the use cases of TranscriptFetch?

• AI agent developers feed real-time video transcripts into RAG pipelines for more accurate, citation-aware answers.
• Content researchers extract spoken quotes from founder interviews, product demos, or customer reviews across YouTube, TikTok, and podcasts.
• Automation builders set up n8n or Zapier workflows that trigger transcript pulls whenever a new video is posted to a channel.
• Podcast analysts transcribe Spotify or Apple Podcast episodes into searchable text for sentiment analysis or topic tagging.

How to use TranscriptFetch?

• Sign up for a free account to receive 100 monthly credits (no card required).
• Get an API key and call POST /api/v1/transcripts/video with a supported video URL.
• For channel monitoring, use POST /api/v1/transcripts/channel and pass a since_video_id to get new videos only.
• Connect the MCP server (transcriptfetch.com/mcp) to Claude, ChatGPT, or Cursor for agent-driven transcript fetching.
• Review the API reference for rate limits, batch endpoints, and error codes before building production pipelines.