Podcast to text

Transcribe a podcast episode to text

Transcribe a podcast episode to text: upload the audio of the episode and get timecodes, speaker labels and six export formats.

3 files a day up to 30 minutes, free99+ languagesSpeaker separation and timestamps
In short

Upload the audio file of the episode and the transcript comes back with a timecode on every line, the speakers named on request and six export formats. One file is up to 30 minutes, and the free plan is $0 with 3 files a day.

How it works

How to transcribe a podcast episode

  1. 1

    Take the audio of the episode

    The episode file is the audio of the show. Download it from the feed or from the platform that hosts it, and keep the original file: there is no need to convert it first.

  2. 2

    Upload it and set the language

    Drop it on the widget above. The file may be up to 30 minutes at most. Choose 99+ languages, or leave the detection on, and split the speakers if the show has more than one voice.

  3. 3

    Cut the parts you need

    Every line has the time it starts and ends, so the quotes for a show note can be found in the transcript instead of in the audio. Export to TXT, Markdown, SRT, VTT, CSV or DOCX.

Formats

What you get

  • TXT

    Plain text for an email, a note or a chat

  • SRT

    Subtitles for video editors and platforms

  • VTT

    Subtitles for a browser and a website

  • CSV

    A table: time, speaker, text

  • DOCX

    A Word document with speakers and times

  • Markdown

    Text with headings for notes

The numbers

What a podcast transcript contains

How an episode carries its audio

the feed points at the audio file with an enclosure element: a URL, the size in bytes and the MIME type

Timecodes and speakers

the start and the end time of every segment, speakers named on request

Export

TXT, Markdown, SRT, VTT, CSV and DOCX (DOCX is a Pro feature)

The case

What an episode file is, and why the feed matters

An episode is a file, and the feed is a list of files. The feed of a show points at the audio of every episode with an enclosure element: an address, the size in bytes and the type of the file. That is where the file to transcribe comes from — the same way a listener gets it.

Tips

  • Keep the original episode file; the transcript is derived from it.

  • Split by speaker when the show has two microphones.

  • Name the file after the episode number, not after the title.

Questions this page answers

Does the feed have to be changed for this?

No. Nothing is written back into the feed and nothing is published for you. You upload the audio file yourself, and the transcript stays in your account until you export it.

How long can one episode be?

One file is up to 30 minutes, on every plan. A longer episode has to be split into parts before the upload; the service does not cut files for you.

Can a transcript of a show be searched?

Yes. The transcript is text with one line per segment, so it can be searched in the app and read in the editor. The CSV export gives the same lines with the time and the speaker for a spreadsheet.

What about the accuracy of the transcription?

We publish no single accuracy number, because a number without the test set behind it means nothing. Ask for the evaluation report and the sample set and we will send both.

Sources

  1. R
    RSS 2.0 Specification — the enclosure elementrssboard.org · checked 22 October 2026

Reading: 6 minutesUpdated Transcribsi editorial team

Drop a recording — the text arrives in a minute

Speakers by name, a time on every line, export to TXT, SRT, VTT, CSV and Markdown.

3 files a day up to 30 minutes, free99+ languagesSpeaker separation and timestamps