Skip to content
Interviews · lectures · voice notes

Cut the dead air, keep the pauses

Drop a recording. The tool finds every stretch quieter than −40 dB that lasts longer than half a second, shows you where it is, and cuts it out with a 150 ms margin so no word loses its tail. One file in, a shorter one out, nothing uploaded.

Short answerLast edited October 31, 2026

The Silence Remover cuts the dead air out of a podcast, interview or lecture. You set the level below which audio counts as silence and the length of gap to remove, and the tool keeps a short margin around each cut. It shows how much shorter the file becomes.

How it works

1

Add the recording

Open the interview, lecture or voice note with the pauses in it.

2

Set what counts as silence

Choose how long a pause has to be before it is cut, and how much of it stays.

3

Download the shorter file

Save the trimmed audio and see how much time it saved.

20 msthe analysis frame
−40 dBthe default threshold
0.6 sshortest gap removed
no uploaddecoded in the tab

The silence is not the problem

Listen to a good interview and you will hear pauses everywhere: before an answer, after a joke, in the second a person needs to find a word. Those pauses are rhythm. What makes a recording feel slow is a different kind of quiet - the three seconds after a microphone is muted, the eight seconds while somebody looks for a file, the minute at the end that nobody edited out.

A silence remover is good at the second kind and dangerous with the first. That is why the tool asks for a minimum length instead of cutting everything below a level: half a second of quiet is usually a thought, two seconds is usually a gap. The default, 0.6 seconds, sits between them.

The other number is the margin kept around each cut. Without it, the trailing breath of a word is the first thing to go, and the speaker starts to sound clipped - as if every sentence began and ended inside a cylinder. 150 milliseconds is short enough to remove the dead air and long enough to keep the consonant that was decaying when the room went quiet.

What the cut looks like

Two gaps, 0.9 and 2.4 seconds, both silent enough and both long enough to count. The recording loses 3.3 seconds and not one word. In a 20-minute lecture the same settings usually find 40 to 90 of these, which is where the ten minutes people complain about actually live.

before3:12
0.9 s2.4 s
after2:41

Two gaps, 3.3 seconds, removed without touching a word.

How long a gap is worth cutting

Starting points, not rules - listen to ten seconds of the result before you export an hour
RecordingUsual dead airMinimum gap to useWhy
Interview, two mics0.8–2 s between answers0.6 sanswers start after a breath
Lecture or screen recording2–8 s while switching slides1.2 slong, obvious gaps
Voice note to a colleague0.5–1 s0.5 sshort file, little to gain
Podcast, edited later1–3 s0.8 skeeps the banter, removes the fumbling
Meditation or ASMRlong on purposedo not cutsilence is the product

If a file has music or room tone under the voice, the threshold has to go lower than the music, not lower than the voice. Otherwise the quiet passages of the music get cut and the result sounds like a radio with a loose cable.

The two numbers, explained

The threshold is measured in dBFS, where 0 is the loudest a file can be and the numbers go negative from there. Normal speech peaks around −6 to −12 dB and averages −20; a quiet room sits near −55 to −65. −40 dB therefore means "quieter than a room with nobody talking", which is exactly what a gap is.

If the recording was made on a laptop fan or a noisy street, the room floor can be −35 dB. Raise the threshold to −30 and the tool will still find the gaps; leave it at −40 and it will find nothing, because nothing is ever that quiet.

Signs you cut too much

Listen for these before you publish
  • Sentences start on a hard consonant with no breath in front of them
  • The speaker seems to interrupt themselves, though nobody spoke over them
  • The rhythm is even but the meaning is not - two ideas run together
  • Room tone disappears completely between words, making the audio feel sewn together
  • A laugh, a sigh or a thinking sound has gone missing mid-answer

Questions about the cut

Does it remove background noise as well?
No. It removes stretches that are already quiet. A fan humming under the voice is not silence, so it survives the cut - and that is the right behaviour, because a file where the hum stops between words sounds broken. Use the noise remover first if the hum bothers you.
What file formats can I drop in?
Anything the browser can decode: MP3, WAV, M4A, OGG, OPUS, FLAC, and the audio track of an MP4 or WebM video. Export is MP3 at 128 kbps or 16-bit WAV.
Why does the result sound slightly different at the cuts?
Each splice gets a 6 millisecond fade so there is no click at the join. That fade is the only change to the audio itself; everything between the cuts is copied sample for sample.
How much shorter will my file get?
For a raw interview, 10 to 25 percent is typical. A lecture with slide changes can lose a third. If the number is under 5 percent, the recording was probably already tight and the pass was not worth the re-encode.
Is the audio uploaded to a server?
No. The file is decoded with the browser's own audio engine and the new file is written in the tab. That is also why a very long file takes a few seconds before the waveform appears.
Can I hear the result before downloading?
Not in this tool - the page shows the waveform and the new duration instead. Download the WAV if you want to check the pacing without a second lossy encode, then convert once at the end.

A shorter file, same words

Pick the recording, check the red stretches on the waveform, cut and download.

Cut my recording

Quick facts

  1. The threshold is a level, not a length: everything quieter than it counts as silence, so a noisy room needs a higher threshold before anything is removed.
  2. Keeping about 0.2 seconds on each side of a cut preserves the natural rhythm of speech; cutting exactly on the waveform makes the result sound clipped.
  3. 44.1 kHz, 16 bit, stereo means 44,100 samples × 2 channels × 2 bytes each second: 1411 kbit/s, or about 10 MB per minute.Microsoft Learn
  4. WAV stores the samples as they are, so it is the right working format for editing and the wrong one for sending.Microsoft Learn
  5. MP3 is lossy: decoding never returns the waveform that was encoded, which is why repeated re-encoding lowers quality each time.Fraunhofer IIS

Questions people ask

How do I remove pauses from a podcast or interview?
Set the silence threshold a little above the room noise, choose a minimum gap length such as 0.5 seconds, and preview the result. Gaps shorter than the minimum stay, so natural pauses between sentences are kept.
What threshold should I use to remove silence?
The threshold should sit above the background noise of the recording and below the quietest speech. Start around −40 dB and adjust while you listen. A noisy room needs a higher value, otherwise breaths and hiss are treated as speech.
Will removing silence make a talk sound unnatural?
It can if the cuts are too tight. Keeping a short margin on each side of a cut gives the speech room to breathe. Listen to the joins, and raise the minimum gap if the speaker sounds rushed.

What this page is about

  • WAV (RIFF)

    An uncompressed container from Microsoft and IBM built on RIFF; CD-quality stereo at 44.1 kHz and 16 bit needs 1411 kbit/s.

  • A lossy audio format from MPEG-1 Audio Layer III, developed at Fraunhofer IIS, that removes sounds the ear is unlikely to notice.

  • Web Audio API

    The W3C API that builds an audio graph in the browser and can render it faster than real time with an OfflineAudioContext.

Official sources cited on this page

  1. Resource Interchange File Format (RIFF)Microsoft Learn
  2. MP3 — the audio coding format developed at Fraunhofer IISFraunhofer IIS
  3. Web Audio APIW3C
How would you rate Silence Remover?Be the first to rate it