Hosts and guests labelled
Automatic speaker labels separate voices. Rename them once and every export uses the right names.
Upload an episode and get a transcript with each host and guest labelled, timestamps for every segment and exports for show notes, blog posts and video captions.
Transcribe an episode →Automatic speaker labels separate voices. Rename them once and every export uses the right names.
With an account, a Podcast-style AI summary with source references gives you a first draft of show notes.
Export SRT or VTT for YouTube and social clips from the same transcript.
Audio is hard to search. A transcript makes every episode discoverable by search engines, accessible to listeners who are deaf or hard of hearing, and reusable as written content. Listeners use transcripts to find a quote or resource mentioned in an episode; producers use them to cut clips, write show notes and pull quotes for social media.
Use the final mixed episode so timestamps match what listeners hear. If you also publish a video version, transcribe that so captions line up with the picture.
Guest names, company names, book titles and sponsor names are the most common errors. Correct them once with find and replace. Check numbers, prices and URLs mentioned on air.
Use the transcript to list the topics covered with timestamps, the resources mentioned and a few key quotes. With an account, a Podcast-style AI summary with source references gives you a starting point; check every point against the transcript before publishing.
Publish a transcript page for each episode, export SRT or VTT captions for the video version and pull short quotes for social media. A single reviewed transcript feeds all of these outputs.
Most podcasts publish a clean verbatim transcript: every meaningful word, without "um", "uh" and false starts. Speech recognition output is usually close to this already. Keep the speakers' wording; light paragraphing and headings for each topic make long episodes much easier to read.
If your podcast is filmed, Media2Text extracts the audio from supported video files in your browser, so the full video is not uploaded. Export SRT for YouTube and your editor, and see the SRT subtitle guide for readable caption length.
Automatic transcription gives you a fast, timed draft. Before you publish, quote or share it, spend a few minutes on the parts that matter most. Rename the speaker labels so every export shows real names. Use find and replace for names, brands and technical terms that appear more than once. Then click the timestamps for the passages you will actually quote and listen to them: overlapping voices, background music and fast speech are where errors cluster. The editor keeps the text and the audio together, so checking a line takes seconds instead of scrubbing through the whole recording.
Export TXT, Markdown, DOCX, PDF, CSV, TSV, JSON, SRT or VTT. The free trial includes up to 2 lifetime transcription tasks sharing 75 minutes in total, with no credit card. Paid plans have unlimited uploads and accept files up to 5 hours 15 minutes long. Weekly shows usually fit comfortably within a monthly plan's minutes.
The final mix is simplest. If you recorded each person on a separate track, transcribing them separately can make speaker attribution perfect, but you will need to merge the text afterwards.
Music beds can reduce accuracy and lyrics may appear in the text. Review intros, transitions and ad breaks with playback.
Yes, if you own the podcast. A full transcript page gives search engines and readers the complete text of the episode.
Yes. Media2Text documents 60 transcription languages, and you can create a translated track that keeps the original timing.