Preview - not yet available to run

Find the interesting parts of a long recording

Quick answer: the Audio Highlight Extractor is designed to scan a long recording - a podcast episode, but also an interview, a lecture, or a meeting recording - and mark the sections worth a closer listen, so you do not have to scrub through the whole thing by hand. Detection is a preview today; the Transcript and Subtitles modes below, sharing this same page, is live and works now.

Beyond podcasts Adjustable regions Visual timeline Transcript & Subtitles work today

Drop your episode here

or click to choose a file - up to 500 MB

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

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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.

Smart Clips is a preview

Finds moments that could work as standalone clips - hooks, quotes, insights - with a start/end you can adjust. This mode has no working backend yet, so nothing is generated or uploaded when you select it - it will switch on here the moment it ships.

What a highlight timeline will look like

A static preview of the planned output on a 40-minute recording - not a live analysis. Nothing here is generated from your file yet.

0:0010:0020:0030:0040:00

How this differs from manually trimming audio

Manually trimming a long recording starts from a blank timeline - you scrub or listen through the whole thing to find the part worth keeping, which is the slow part of repurposing a two-hour meeting or a 90-minute lecture. Highlight extraction is meant to work from the transcript instead: it proposes candidate regions first, each with a short reason, so the work becomes reviewing and adjusting a handful of suggestions rather than searching from nothing. It is not a replacement for a real audio editor - it is a way to skip the search step.

What this tool does

Once live, it will scan a long recording's transcript and mark sections likely worth a closer listen, with an adjustable start and end for each.

Accepted input

Any long-form audio or video file up to 500 MB - interviews, lectures, meetings, webinars, podcast episodes.

Expected output

A set of highlighted regions on a timeline, each with a transcript excerpt and a reason, adjustable before export.

Common use cases

Journalists

Find the usable quote in an hour-long recorded interview.

Students

Jump to the dense parts of a recorded lecture when revising.

Teams

Locate the decision points in a long meeting recording.

Podcasters

The same detection this page shares with Smart Clips, framed for a wider set of recordings.

Limitations

  • Not available to run yet - this page shows the intended interface only.
  • Detection will work from the transcript, so poor audio quality that hurts transcription will also hurt detection.
  • Suggested regions are a starting point, not a finished edit.

Privacy and retention

  • Files uploaded for Transcript today are held only long enough to transcribe them, then removed by routine cleanup.
  • Nothing is uploaded for highlight extraction specifically, since that mode does not yet exist.
  • Only process content you own or have permission to use.

Frequently asked questions

Is the Audio Highlight Extractor available to use right now?

Not yet. Highlight detection is shown as a preview; selecting it will not process your file. Transcript and Subtitles, on the same page, are live today.

Does this only work on podcasts?

No - it is built for any long-form audio: recorded interviews, lecture recordings, meeting recordings, webinars, as well as podcast episodes. The underlying transcript-and-detection approach does not care what the recording is called.

How is this different from manually trimming audio?

Manual trimming starts from a blank timeline - you have to listen (or scrub) to find where something worth keeping happens. Highlight extraction is meant to propose candidate regions first, from the transcript, so trimming becomes reviewing and adjusting suggestions rather than searching a long recording from nothing.

Will it tell me why a region was chosen?

That is the plan - each region is meant to come with a short reason, the same way Smart Clips explains its picks for podcasts.

What is the maximum recording length?

The same 500 MB upload limit as the rest of the studio, since detection is planned to run on the same uploaded file as Transcript.

Does highlight extraction work on my file today?

No. Only Transcript and Subtitles are connected to a working backend. Upload a file to get a timestamped transcript now; highlight extraction will use that same upload once it ships.

Last reviewed: 2026-09-08.

Start with a transcript today

Upload your recording now to get a timestamped transcript - the foundation highlight extraction will build on once it ships.

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