A podcast transcriber turns an episode's audio into a searchable transcript, often with timestamps and labels showing who is speaking.
In plain words
The app runs the audio through a speech recognition model such as Whisper to get the words. Extra steps make it more useful for shows with several hosts: word-level timestamps line each word up with the audio, and speaker diarization splits the recording into stretches by who is talking. WhisperX combines these steps. Diarization is not perfect, and overlapping speech is hard for these tools.
A quick example
Imagine a two-host episode. The transcriber outputs lines such as "SPEAKER_00, 03:12: Welcome back" and "SPEAKER_01, 03:15: Thanks", which you can rename to the hosts and turn into show notes or captions.
Where you'll meet it
- Show notes, captions and search for podcasts.
- Turning interviews into quotes and articles.
Related
Sources
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.