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Guide

How to get transcripts of TED videos

Talks are short and quotable, which makes the full archive genuinely useful as a text corpus.

Source channel: https://www.youtube.com/@TED

30 transcript extractions free · no card

Get every available transcript in three steps

  1. Paste the channel link. BulkTranscripts detects whether it is a video, playlist, or channel automatically.
  2. Press Get transcripts. Videos are processed in parallel with live progress, and anything already in your library is served instantly from cache.
  3. Export. Download a ZIP with one file per video, or a single combined document — TXT, Markdown, SRT, VTT, CSV, JSON, or AI-ready.

What people do with TED transcripts

The common use is to gather examples of strong openings, or build a reference of talks by theme. Because the combined export carries each video's title, channel, date, and link in a header, an AI model can cite which video an answer came from instead of blending everything together.

About the TED archive

The TED channel holds thousands of talks, most between five and eighteen minutes, and TED publishes professional captions for nearly all of them, often in many languages. Because talks are short, a whole-channel export produces a large, quotable corpus with one clear idea per document.

Questions the full transcript set can answer

Load the combined export into NotebookLM, ChatGPT or Claude and ask:

Questions

Is there a limit on how many TED videos I can transcribe?

You can run a whole channel or playlist in one job. Large archives are processed in batches with live progress, and everything you have already pulled is cached so re-runs are instant.

Do I need to sign in?

No. Paste a link and go.

What if a video has no captions?

It is skipped and reported in the results, and the rest of the job continues. Videos with creator-written captions are preferred over auto-generated ones when both exist.

Can I get one file instead of hundreds?

Yes. Choose the combined export to get the entire channel or playlist as a single document, which is what you want for NotebookLM, ChatGPT, or Claude.

Try it on TED

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