Answers

What does TranscriptsDisabled mean, and can I still get the YouTube transcript?

Short answer

TranscriptsDisabled means the library found no caption track it could read for that video. Ask a second source to tell a truly captionless video from a blocked request: the YouTube transcript endpoint returns the text for $0.004, or not_found at no charge when the video really has no captions.

You run a batch of 200 videos and 30 of them come back with TranscriptsDisabled. Some of those videos really have no captions. Others show a CC button in the browser, and people in the youtube-transcript-api tracker report exactly that case. You need to know which is which before you decide what to do with them.

Two different causes

  1. The video has no caption track. The creator turned captions off, YouTube has not generated automatic captions yet (new uploads can take a while), or the audio is music with no speech. No tool can return a transcript that does not exist.
  2. The request was answered differently. When YouTube treats your IP as suspicious, the page your code receives can look like a video without captions. The error says disabled, but the cause is the request.

A cheap second opinion

Send the same video to YouTube video transcript. The fetch does not come from your IP, so the answer reflects the video itself:

curl -s -G "https://api.okdata.online/v1/youtube/videos/transcript/get" \
  -H "Authorization: Bearer $OKDATA_API_KEY" \
  -d id=VIDEO_ID -d fields=lang,text

A video without captions answers like this, and the charged: false is real:

{ "code": "not_found", "message": "No YouTube transcript with that ID was found.", "request_id": "…", "charged": false, "retry": "no" }
Outcome What you pay
Transcript returned $0.004
not_found, no captions nothing
Any error (rate limit, timeout, upstream) nothing

So re-checking 30 failed videos costs at most $0.12, and less for every one that truly has no captions.

What to do with the truly captionless ones

  • Recent uploads: try again in a day. Automatic captions often appear later.
  • Talks and podcasts: run Whisper or another speech model on audio you are allowed to download. That is the only way to get words out of a video with no track.
  • Tutorials: look at the description. Many creators paste a script or chapter list there; YouTube video detail returns it as text for $0.004.
  • Your own channel: upload captions in YouTube Studio, then fetch them again.

Keep the batch honest

Store the outcome per video: ok, no_captions or error. Retry the errors, schedule the new uploads for later, and send only the rest to speech-to-text. The response never says whether a track was typed by the creator or generated automatically, so treat automatic-caption accuracy with care when you quote.

Batch patterns and costs for whole lists are on the video transcript solution page; every error code is on errors.

Updated