Coggler (Audio)
Screenshot of Coggler

Coggler

Coggler converts podcast episodes into searchable text, so you can ask questions about an episode and jump straight to specific moments.

Screenshot

What is Coggler?

Coggler is an AI tool that converts podcast episodes into searchable text. Instead of scrubbing through audio, you can search for specific topics or moments, ask questions about what was said, and get answers drawn from the episode’s content. The text format also makes podcasts more accessible to listeners with hearing impairments.

Who created Coggler?

Coggler was built by a team led by Andrew Huberman, Ph.D., a neuroscientist and professor. It launched with the goal of turning podcasts into searchable text and helping listeners get more out of their favorite shows through text-based interaction.

Who is Coggler for?

Coggler suits researchers, podcast fans, and anyone who learns from audio content, as well as listeners with hearing impairments who benefit from a text version of episodes.

Key features

  • Accurate transcriptions of podcast episodes
  • Question-based interaction — ask about an episode and receive answers based on what it discussed
  • Precise search that pinpoints exact moments, so you can pull key insights without listening to the entire episode
  • A catalog of popular shows, including “Science Vs,” “Planet Money,” and “Huberman Lab”

Together, these features make it practical to extract knowledge from podcasts without listening end to end.

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