Preview - not yet available to run

Shorten long silences without losing natural pauses

Quick answer: the Podcast Silence Remover is designed to find unusually long quiet stretches in an episode - not every pause - so they can be shortened while normal conversational rhythm stays intact. Detection is a preview today; the Transcript and Subtitles modes below, sharing this same page, are live and work now.

Long silence only Threshold & duration controls Padding preserved Transcript & Subtitles work today

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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.

Silence Remover is a preview

Finds and previews silent stretches so you can shorten them without cutting natural pauses. 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 silence timeline will look like

A static preview of the planned output on a 20-minute recording - not a live analysis. Nothing here is generated from your file yet.

0:005:0010:0015:0020:00

Speech   Short pause (kept)   Long silence (flagged for review)

Planned controls

Silence threshold

How quiet audio has to be to count as silence at all - a noise floor, not a hard cutoff.

Minimum silence duration

How long a quiet stretch has to last before it gets flagged - short pauses below this are left alone.

Retained padding

A small buffer kept at each edge of a cut so the trim does not sound abrupt.

Why natural pauses should not all be removed

A short pause after a question, a breath before an answer, a beat of comic timing - these are part of how people actually talk, not dead air to be scrubbed out. A podcast with every pause removed sounds rushed and unnatural, not polished. That is why detection is planned to target only unusually long stretches above a minimum duration, with padding kept at each edge, rather than stripping silence indiscriminately.

What this tool does

Once live, it will detect long silent stretches in an uploaded episode and let you review and adjust them before trimming.

Accepted input

An uploaded audio or video file up to 500 MB.

Expected output

A reviewable list of detected silence regions, and eventually a trimmed audio export - not yet available.

Common use cases

Solo podcasters

Tighten up long thinking pauses without a manual audio-editing pass.

Interview shows

Shorten awkward technical gaps (a dropped call, a reconnect) without losing the conversation's rhythm.

Editors

A starting point that flags candidates, leaving the final trim decision to a person.

Limitations

  • Not available to run yet - no trimming, preview playback or export works.
  • This page shows the intended interface only, not a live analysis of your file.
  • Detected regions will always be a starting point for review, not an automatic final cut.

Privacy and retention

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

Frequently asked questions

Is the Podcast Silence Remover available to use right now?

Not yet. Silence detection is shown as a preview; selecting Silence Remover will not process your file, and no audio trimming, preview playback or export works yet. Transcript and Subtitles, on the same page, are live today.

Why not just remove every silent moment?

Because not all silence is dead air. A short pause after a question, a breath before an answer, a beat for comic timing - these are part of how people actually talk, and cutting all of them makes a podcast sound clipped and unnatural. The plan is to target only unusually long stretches, not every gap.

What will the threshold and duration controls do?

The threshold sets how quiet audio has to be to count as silence. The minimum duration sets how long a quiet stretch has to last before it is flagged - short pauses below that length are left alone. Retained padding keeps a small buffer of audio at each edge so a cut does not sound abrupt.

Can I preview the cuts before applying them?

That is the plan - detected regions are meant to be reviewable and adjustable before anything is actually trimmed, not applied automatically.

Can I download a trimmed file today?

No. Trimming, preview playback and export have not shipped - the preview above shows the intended interface only.

Does silence removal 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; silence detection will use that same upload once it ships.

Last reviewed: 2026-09-08.

Start with a transcript today

Upload your episode now to get a timestamped transcript - useful today, while silence detection is still being built.

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