Transcript API for YouTube, TikTok, Instagram and podcasts. Clean, timestamped JSON from one call, with AI fallback when there are no captions.
TranscriptFetch is an API that returns timestamped transcripts from video and audio sources, including YouTube, TikTok, Instagram, and podcasts from Spotify, Apple Podcasts, or RSS episode links. All sources return the same JSON response shape with per-segment text and start times. When platform captions are unavailable, the service transcribes the audio with AI instead, and it can also resolve a YouTube channel or playlist into a paginated list of videos.
The API is intended for developers building AI pipelines, agents, or RAG applications that need transcript data from social and podcast platforms without maintaining separate scrapers per source. It is also reachable through a hosted MCP server and prebuilt integrations for n8n, Make, Zapier, Cursor, VS Code, Claude, and ChatGPT, and Python and Node SDKs are available.
Pricing includes a free tier of 100 credits per month with no card required, and paid plans: Basic at $5/month for 500 credits, Pro at $15/month for 5,000 credits with concurrent batch jobs and MCP server access, and Mega at $45/month for 50,000 credits. One credit equals one successful fetch; failed or empty requests are not billed, and unused credits roll over. Additional credits can be purchased at $10 per 1,000.
Yes, every account gets 100 free credits a month with no card required, and failed fetches are never billed.
Video transcripts are supported for YouTube, TikTok, and Instagram, plus podcast episodes from Spotify, Apple Podcasts, or RSS links; YouTube also supports channel, playlist, and keyword-search expansion.
Yes, it connects via a hosted MCP server to Claude, ChatGPT, Cursor, or any MCP client with one OAuth sign-in, plus an n8n community node and Python and Node SDKs.
Plans are $5/mo for 500 credits, $15/mo for 5,000 credits, and $45/mo for 50,000 credits, with top-ups at $10 per 1,000 credits and unused credits rolling over.
The audio is automatically transcribed with AI on the same endpoint, and if no speech is retrievable it's reported with a reason code at no charge.
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