Live - works today

Get a timestamped transcript of your podcast episode

Quick answer: upload an episode and this generates a full transcript, split into timed segments you can click to jump the audio, exportable as TXT, SRT or WebVTT. It is free, works right now, and shares its engine with audio-to-text - framed here specifically around podcast episodes and the exports a creator actually needs.

Timestamp navigation Copy plain or timed TXT / SRT / VTT Auto language detection

Drop your episode here

or click to choose a file - up to 500 MB

MP3 · WAV · M4A · FLAC · OGG · OPUS · MP4 · MOV · MKV · WEBM

Clip length Preview
Aspect ratio Preview
Not available yet - the transcript below is not speaker-labelled.
Output goals - click a card to jump to its result tab below
  • Smart Clips

    Finds moments that could work as standalone clips - hooks, quotes, insights - with a start/end you can adjust.

    Preview - coming soon
  • Transcript

    A timestamped transcript you can search and export as TXT, SRT or VTT. Speaker labelling is not available yet.

    Available now
  • Reel Maker

    Turns a clip into a captioned 9:16 vertical video with a waveform and safe-zone framing.

    Preview - coming soon
  • Audiograms

    A waveform video over your cover art, sized for the feed - no video footage required.

    Preview - coming soon
  • Summary

    A short and a detailed summary plus key takeaways, generated from the transcript.

    Preview - coming soon
  • Show Notes

    Chapters with timestamps, plus a starting point for links and guest details.

    Preview - coming soon
  • Blog Article

    Restructures the transcript into a readable article outline, not a raw paste of the text.

    Preview - coming soon
  • Subtitles

    Timestamped SRT and VTT caption files exported from the same transcript Transcript mode produces. Speaker labelling and burned-in video captions are not available yet.

    Available now
  • Silence Remover

    Finds and previews silent stretches so you can shorten them without cutting natural pauses.

    Preview - coming soon
Only process content you own or have permission to use.
- - 0 segments

Upload an episode above to see its transcript here.

Key facts

Format support

Audio: MP3, WAV, M4A, FLAC, OGG, OPUS, AAC. Video: MP4, MOV, MKV, WEBM - only the audio track is read.

File size

Up to 500 MB per upload, the same limit as audio-to-text since both use the same pipeline.

Speaker labels

Not available yet. Every line is timestamped; none is currently attributed to a specific speaker.

Retention

Uploaded files are held only long enough to transcribe them, then removed by routine cleanup.

What this tool does

Transcribes an uploaded podcast episode into timestamped text segments you can navigate, copy and export.

Accepted input

An audio or video file up to 500 MB, in the formats listed above.

Expected output

A segmented transcript on the page (language, duration, segment count shown), plus TXT, SRT and WebVTT exports.

How to use it

1

Upload

Drag your episode's audio or video file onto the upload area, or click to browse.

2

Analyze

Confirm you have the rights to the content, then press Analyze My Podcast.

3

Navigate and export

Click any timestamp to hear that moment, then copy or download the transcript.

A realistic example

A 38-minute two-person interview transcribes into roughly 220-260 timestamped segments, each a few seconds long. Clicking the timestamp on any segment - for instance one at 14:32 - jumps the audio player straight to that moment, and the whole thing exports as one SRT file ready to hand to a video editor.

Common use cases

Show notes

Pull exact quotes and timestamps without re-listening to the episode.

Accessibility

Give listeners a full-text version of the episode.

Video editors

Import the SRT export directly for caption timing.

Repurposing

The same transcript that will feed clip and summary generation as those modes ship.

Limitations

  • No speaker diarization yet - segments are not labelled by speaker.
  • Music and heavy background noise reduce accuracy, the same as any speech-to-text engine.
  • No dedicated in-page search box yet - use your browser's find-in-page.

Privacy and retention

  • Uploaded files are held only long enough to transcribe them, then removed by routine cleanup.
  • Nothing is published or shared - the transcript is shown only to you.
  • Only process content you own or have permission to use.

Frequently asked questions

Is the Podcast Transcript Generator free?

Yes, and it works today - upload an episode and get a timestamped transcript with no sign-up.

Does it label who is speaking?

Not yet. The transcript is timestamped but not speaker-labelled; speaker detection is a planned preview mode shown elsewhere in the studio, not a claim made here.

How is this different from audio-to-text?

The same transcription engine, framed differently. audio-to-text is built for any recording - lectures, voice memos, meetings. This page is framed around podcast episodes specifically: the transcript it produces is meant to feed clip, Reel and summary generation as those modes ship, and the copy and examples here talk about episodes rather than recordings in general.

Can I search the transcript?

Not yet as a dedicated search box - the transcript is fully visible on the page, so a browser's own find-in-page (Ctrl/Cmd+F) works well until dedicated search ships.

What can I export?

Plain text with or without timestamps (copied to your clipboard), or downloaded as a TXT file, an SRT subtitle file, or a WebVTT file.

What happens if I reload the page mid-transcription?

The job keeps running on the server. Reloading reconnects to it and continues showing real progress rather than losing your place.

Last reviewed: 2026-09-08.

Get your transcript now

Upload your episode above - the transcript is ready in about a third to a half of the recording's length.

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