Transcribe music podcast episodes, interviews, and reviews into text with speaker labels, quotes, and episode summaries.
Music podcasts run long: album reviews that turn into tangents, artist interviews with a dozen names and song titles dropped in, roundtable debates with three hosts talking over each other about a new release. Writing episode notes or pulling a quotable line for the show's Twitter afterward means replaying sections you already listened to once. Upload the episode to Autrans and get a transcript with speaker labels for each host or guest, an AI summary of what got discussed, and key quotes already flagged, useful for the "what we said about the new album" pull-quote. Add artist and album names as custom vocabulary so they're spelled right instead of guessed at, and export the whole thing as show notes or as a searchable archive you can query later with the chat feature.
Add them as custom vocabulary before transcribing and Autrans will recognize and spell them correctly rather than guessing at similar-sounding words.
Yes, speaker labels tag each voice separately, which helps follow who said what even when three or four hosts are debating the same album.
Yes, use the chat-with-transcript feature on your transcribed episodes to ask what was said about a particular artist or album.
Yes, the AI summary and flagged topics give you a starting point, so you're editing rather than writing episode notes from scratch after a relisten.
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