Get the transcript of any YouTube video from a single URL. FrameFetch returns the caption track when one exists, and falls back to Whisper when it doesn't — plus metadata, view/like counts, frames, and the on-screen text burned into them.
For YouTube, FrameFetch returns metadata, insights (views/likes/comments), transcript (captions or Whisper), parametric frames, and on-screen text (OCR) per frame. YouTube is also the only platform that supports raw comments and the aggregated comment sentiment rollup — no competing API offers that summary. One JSON response, billed per call — every response includes a cost block.
curl -X POST https://framefetch.net/v1/extract \
-H "Authorization: Bearer <your-key>" \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.youtube.com/watch?v=jNQXAC9IVRw",
"fields": ["metadata", "transcript"]
}'Get a key with POST /v1/keys (free credit). Full reference in the docs. Agents can pay per call with x402 (USDC) — no account.
FrameFetch ships an MCP server at POST https://framefetch.net/mcp with the tools framefetch_extract and framefetch_platform_capabilities — point your agent at a YouTube URL directly. See the MCP setup guide for a working Claude Desktop / Cursor config.
Building this without code? The n8n YouTube transcript workflow guide has a ready-to-import workflow JSON — one HTTP Request node for the transcript, a second for a direct ask question — plus why n8n's built-in YouTube node can't pull captions for a video you don't own.
Yes. If there is no caption track, FrameFetch transcribes the audio with Whisper and returns the text the same way.
Yes — add "frames" and "metadata" to the fields array in one /v1/extract call.
Yes, Shorts URLs work the same way. See the Shorts page.
Yes — add text_overlay alongside frames to run OCR on each extracted frame and get back burned-in captions, titles, or lower-thirds.
Yes — add comments for up to comments_cap raw top-level comments, or comment_sentiment for an aggregated mood rollup (percentages, themes, summary) over them. See the comment sentiment API for the full shape and pricing.