What app removes filler words from video?

BlitzCut removes filler words through its transcript: every "um" and "uh" appears as text, and deleting the word cuts it from the video. It runs on iPhone, iPad, and Mac. Descript does this on desktop with a cloud workflow; BlitzCut does it on-device.

Should I remove every single filler word?

No — a few natural hesitations keep you sounding human. Remove the clusters and the false starts that undermine authority, keep the occasional beat. Because BlitzCut shows fillers as text, you choose per word instead of per pass.

Does removing filler words leave audible jumps?

Cuts land in the silence around the word, and automatic silence removal smooths the remaining gap. In talking-head video the result reads as a normal jump cut, which viewers expect.

Audio-only podcasters who never publish video — a dedicated audio tool fits that workflow better. BlitzCut is built for video, where the cut has to work visually too.

Filler Word Remover: Cut the Ums and Uhs from Your Videos

BlitzCut is a filler word remover for video — it transcribes your footage so every "um," "uh," and false start is visible as text, and deleting the word deletes it from the video.

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✓ Free to download✓ iPhone, iPad & Mac✓ No watermark

BlitzCut transcript view where filler words can be deleted to cut them from the video

Filler Word Remover shown in the BlitzCut app

Filler words make a competent speaker sound unsure — but hunting each "um" on an audio waveform is miserable work, and re-recording until you speak perfectly wastes hours.

BlitzCut turns your video into an editable transcript. Every filler word is right there as text: select it, delete it, and the video cuts around it seamlessly. Combined with automatic silence removal, a hesitant first take exports sounding confident.

Everything you need, in one app

Transcript-based removal

Filler words are deleted as text; the video cut happens automatically.

False start cleanup

Delete entire restarted sentences in one selection.

Gap smoothing

Automatic silence removal closes the holes so edits sound natural.

Fast review

Read the transcript instead of re-watching the footage to find problems.

How it works

Three steps from raw footage to finished video.

Import and transcribe
BlitzCut transcribes your video on-device in seconds.
Delete filler words as text
Spot every um, uh, and false start in the transcript and delete them like typos.
Export the clean take
Silence removal tightens the remaining gaps — export a confident, fluent video.

BlitzCut AI chat editing assisting with cleanup of a talking video

The AI assistant can help clean up a take — ask it to tighten sections for you.

Sound confident without re-recording

Every filler word visible as editable text
Deleting the word cuts the video — no waveform hunting
Silence removal closes the gaps left behind
On-device processing, no cloud upload

Built for creators like you

Course creators and educators

Clean narration matters for hours of lesson content — clean it in text.

Podcasters publishing video

Remove verbal clutter from long conversations without scrubbing.

Non-native and nervous speakers

Speak naturally on camera; fix hesitations afterward in seconds.

Works great with

View all features →

Text-Based Editing

Edit your video by editing the transcript.

Silence Removal

Cut dead air automatically, frame-accurate.

Auto Captions

AI transcription with styled, on-brand subtitles.

Try every feature free

Free 3-day trial, then plans from $4.99/week. Cancel anytime — no commitment.

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Frequently asked questions

What app removes filler words from video?: BlitzCut removes filler words through its transcript: every "um" and "uh" appears as text, and deleting the word cuts it from the video. It runs on iPhone, iPad, and Mac. Descript does this on desktop with a cloud workflow; BlitzCut does it on-device.
Should I remove every single filler word?: No — a few natural hesitations keep you sounding human. Remove the clusters and the false starts that undermine authority, keep the occasional beat. Because BlitzCut shows fillers as text, you choose per word instead of per pass.
Does removing filler words leave audible jumps?: Cuts land in the silence around the word, and automatic silence removal smooths the remaining gap. In talking-head video the result reads as a normal jump cut, which viewers expect.
Who is this not for?: Audio-only podcasters who never publish video — a dedicated audio tool fits that workflow better. BlitzCut is built for video, where the cut has to work visually too.

Fix your take without re-recording it

Delete the ums like typos and export a confident video. Free 3-day trial.