Transistor AI Transcription automates podcast transcription directly in the Transistor.fm dashboard. Upload an episode, and the system converts audio into structured text in minutes.
Fast podcast transcripts
Speech recognition creates a text version of each episode without manual typing. This is useful for publishing show notes, repurposing content for a blog, or keeping a searchable archive.
Generate transcripts in minutes from uploaded episodes
Review, edit, and save the finished text
Use transcripts for notes, posts, and documentation
Transcript editor with speaker labels
The built-in editor helps clean up the transcript and make it easier to read. You can correct wording, fix recognition errors, and label speakers so the dialogue structure is clear.
Edit phrases and correct inaccuracies
Identify and name speakers
Produce a readable transcript that matches the conversation flow
Search, accessibility, and SEO
Text transcripts make it easier to find information across episodes and improve accessibility for people who prefer reading. They also help search engines index episode content more effectively, supporting organic traffic over time.
