Build a searchable archive of a YouTube channel or playlist

A channel with a hundred videos is effectively a hundred hours of untagged content — findable only by re-watching, unless every video has a text layer you can search.

Transcribing a playlist or channel turns that backlog into full-text-searchable JSON: export each video, index the segments in whatever search you already run, and "find the video where they talked about X" becomes a text search instead of a scrubbing session. The REST API and CLI make this practical at volume — you don't have to paste each URL in by hand.

  • JSON export keeps every segment's timestamp, so a search hit tells you exactly where in the video to jump to.
  • REST API and CLI handle batches without manual URL-by-URL work.
  • Works across mixed-length content — a channel with both 3-minute clips and 3-hour streams archives the same way.

YouTube specifics

Typical length
Widest range of any platform here — under a minute for Shorts, up to multi-hour lectures, podcasts, and livestream replays.
Worth knowing
Auto-captions are a real, extractable text track (not burned into the video image), but they're timed to a speech model, not to sentence boundaries, so segments can read short and choppy compared to a proper transcript.

Best formats for searchable archive

  • JSON structured, indexable segments

Workflow

  1. Transcribe each YouTube video in the backlog — the REST API and CLI make batches practical.
  2. Export JSON.
  3. Index the segments in whatever search you already run, so finding a moment becomes a text search instead of a scrubbing session.

FAQ

The free tier includes 15 minutes of video a month, AI transcripts in any language, and TXT/SRT/VTT/JSON export — enough to run one YouTube video through and see the output before committing to anything.