BulkTranscripts Bulk YouTube transcripts, AI-ready

Guide

How to get transcripts of Huberman Lab videos

Episodes run two to three hours, and the protocols you actually want are buried somewhere in the middle. In text you can search every episode in seconds.

Source podcast: https://www.youtube.com/@hubermanlab

Extract transcripts free

Get every transcript in three steps

  1. Paste the podcast 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 Huberman Lab transcripts

The common use is to build a searchable protocol reference, or ask an AI which episodes cover sleep, dopamine, or training. 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.

Why bulk matters

Most transcript tools handle one video at a time, which is fine for a single clip and useless for an archive. Pulling Huberman Lab one URL at a time is the actual problem — BulkTranscripts exists to do the whole podcast in one job.

Questions

Is there a limit on how many Huberman Lab 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 Huberman Lab