Speech Cleanup

Remove filler words from video and audio automatically. The ums, the uhs and the false starts, gone in one pass.

Runs inside your favourite editor.

Drop a file and test out SilentCut

MP4, MOV, WebM

Or get it where you edit
Premiere ProThe full pass as a panel on your sequence.Download
DaVinci ResolveThe full pass inside Resolve Studio.Download
MCP serverThe pass as tools for AI assistants.Connect

What comes out of the track

Filler word removal for video and audio, measured on every pass.

More than the ums

The pass will remove filler words from audio and video alike, and it goes further than the “um,” “uh,” and “you know” of unscripted talk. The difference between a filler word remover and a real cleanup is everything else it catches.

Speech cleanup timelineAn isometric speech bubble carrying a waveform: filler words are detected, cut out with scissors, and the remaining speech slides together.0:000:050:100:150:20UMUHLIKE

Stutters and false starts

Restarts, unfinished sentences and repeated phrasing go too, so every line plays as the version you meant. English first, tuned for unscripted talking content.

Speech cleanup timelineAn isometric speech bubble carrying a waveform: filler words are detected, cut out with scissors, and the remaining speech slides together.0:000:050:100:150:20UMUHLIKE

Measured as Filler Rate

Filler Rate is filler words per minute of speech, so you can see how much cleanup a recording needs before you spend an evening finding out. And when you need to remove ums and uhs from audio for a podcast, the same pass runs on the audio file directly.

FILLER0:000:050:100:150:20

Join the community

Short clips from the community.

Community clip 01
Community clip 02
Community clip 03
Community clip 04
Community clip 05
Community clip 06
Saved me from doing all the boring work.
Easy to use and saved me hours of work.
It's just one click and it does it perfectly.
The results are surprisingly good.

Hear the clean track

Drop in a take and hear it without the ums.

Try SilentCut

Speech Cleanup questions