live_stream · 4101 · HTTP 422
The video is a live stream: broadcasting now, scheduled, or ended without a published recording. Live streams are not supported; retrying will not help until YouTube publishes a recording (24/7 streams never get one).
Example response
{ "ok": false, "request_id": "req_…", "error": { "code": "live_stream", "number": 4101, "message": "The video is a live stream: broadcasting now, scheduled, or ended without a published recording. Live streams are not supported; retrying will not help until YouTube publishes a recording (24/7 streams never get one).", "docs": "https://transcriptfetch.com/docs/errors/live_stream" } }
Every failure carries error.code, error.number, error.message and error.docs, plus at most one of retry_with (the request change that would succeed), details (structured specifics) or issues (validation problems).
What it means
Live stream. The video is a live stream: broadcasting now, scheduled, or ended without a published recording. Live streams are not supported; retrying will not help until YouTube publishes a recording (24/7 streams never get one).
Shown to end users as: “Live streams aren't supported. Once the broadcast has ended and YouTube has published the recording, the video can be fetched like any other.”
Why it happens
- Live streams are not supported. The video is broadcasting right now, so there is no finished caption track or audio file to fetch. 24/7 streams (lofi radio, news channels, webcams) are always in this state.
- A finished live stream whose recording YouTube never published. yt-dlp reports it as "This live event has ended" or, for a 24/7 stream, "This live stream recording is not available"; nothing will ever be fetchable at that URL.
- A scheduled premiere or live event that has not started yet ("This live event will begin in ...").
What to do
- Do not retry while the stream is live: the same request fails the same way and nothing on your side changes it. Failed requests are never charged.
- Once the broadcast has ended and YouTube has published the recording (usually within minutes, sometimes hours for long streams), send the same request again: it is then an ordinary video and either its captions are served or the audio is transcribed.
- To detect this before calling, YouTube's page or Data API marks the video as live (liveBroadcastContent is "live" or "upcoming"); skip those in a pipeline and revisit them later.
- AI Fallback Transcription would not help: there is no complete audio file to transcribe while the stream is running.
request_id; include it when contacting support.