Tapesearch (Audio)
Screenshot of Tapesearch

Tapesearch

Discover what Tapesearch is, an AI-powered search engine for podcast transcripts, and how it helps you find, filter, and download podcast content quickly.

Screenshot

What is Tapesearch?

Tapesearch is a search engine that uses artificial intelligence to search within podcast transcripts. It maintains a large collection of AI-generated transcriptions from a wide range of podcasts and adds new ones regularly. You can sort transcripts by relevance or title, filter by publication date, exclude specific words, and set up alerts when keywords appear in a podcast. Users value it for being fast, accurate, and flexible in its search results.

Who created Tapesearch?

Tapesearch was started by a team of three: David Phillips, Juergen Berkessel, and Leon Novački. David Phillips, who works in market research, found it useful for gathering market intelligence. Juergen Berkessel, the person behind Polymash, noted that Tapesearch makes podcasts easier to discover and access — especially for people who are deaf or hard of hearing. Leon Novački, a software engineer, appreciated its straightforward way of accessing podcast information quickly.

What is Tapesearch used for?

  • Search across podcast titles, summaries, and transcripts.
  • Sort transcripts by relevance or title; filter results by publication date and exclude specific words.
  • Search for exact phrases by putting them in double quotation marks.
  • Download transcripts with timestamps in TXT, SRT, VTT, and JSON formats.
  • Set up keyword alerts to be notified when terms are mentioned in a podcast.
  • Use an AI-powered chat feature to ask questions about content.
  • Pinpoint specific moments or topics within podcast episodes.
  • Improve podcast SEO and discoverability by making episodes available as text, including for the deaf and hard of hearing community.
  • Send feedback and suggestions to the Tapesearch team.

Who is Tapesearch for?

  • Software engineers who need quick access to podcast information
  • Market researchers gathering market intelligence from podcast content
  • Creators, such as those behind Polymash, looking to make their podcasts more discoverable and accessible

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