How do I remove filler words from a video?

Upload the video to Valmera and type "remove all the ums and uhs". The AI agent locates every filler in the word-level transcript built during analysis, cuts each one at its exact word boundaries, and shows you a preview. Refine in chat, then export a full-quality MP4 rendered from your original file.

Which filler words does Valmera remove automatically?

The built-in list covers um, uh, er, and hmm. On top of that you can name any word or phrase you want treated as a filler — "also cut every 'like' and 'you know'" — and the agent adds it to the pass.

Can I remove 'like' and 'you know' from a video?

Yes. Custom fillers are a plain-English request: "cut the filler words, including 'like', 'you know', and 'sort of'". Because every cut comes from the transcript, you can review exactly what was removed and restore any instance you wanted to keep.

Will cutting filler words make the video sound choppy?

It can, especially when a filler overlaps the next word or carries a natural pause. Word timings help place cuts, but review the audio around each join. Ask to keep a particular filler, restore a range, or leave more breathing room if the speech sounds rushed or clipped.

Is there a free filler word remover without a watermark?

Valmera does not include free agent editing. Account creation and uploads are free, then editing requires a subscription. The standard Valmera paid-plan policy omits overlay watermarks, but service settings can override it. Inspect the actual final file for branding and any end card.

How accurate is filler word removal?

The agent uses word-level transcript timings to locate candidate fillers. The transcript, timing, or decision to remove a word can be wrong, so listen to the surrounding phrase and check that meaning and delivery are preserved. Restore anything that should stay and review the revised join; an edit record is not an accuracy score.

Can I remove filler words and silences at the same time?

Yes — one request covers both: "remove the filler words and the dead air". The agent runs it as a single cleanup pass and returns one preview. Uploads go up to 14GB and 3 hours; the one-time analysis shows visible progress on longer files.

Remove Filler Words from Video

Every "um" you cut makes you sound sharper. Valmera finds them all in the transcript and cuts each one exactly — no waveform hunting.

To remove filler words from a video, upload it to Valmera and type "remove all the ums and uhs&quot. The AI agent reads a word-level transcript of your footage, finds every um, uh, er, and hmm, and cuts each one at its exact word boundary. You can add your own fillers too — "like", "you know", "sort of&quot.

How to Remove Filler Words from a Video

1
Upload your video
Drag in your video — MP4, MOV, MKV, or WebM up to 14GB and 3 hours. A one-time analysis with visible progress builds the word-level transcript that every cut is timed against.
2
Type "remove all the ums and uhs"
That covers the built-in fillers: um, uh, er, and hmm. To go further, try "also cut every 'like' and 'you know'" — the agent treats any word you name as a filler.
3
Preview & export
Play the preview, spot-check a few cuts, and adjust in plain English — "put back the 'you know' at 2:14". Then export a full-quality H.264 MP4 rendered from your original upload.

Analysis runs once per upload with visible progress; after that, every request is just a message.

EXAMPLE PROMPTS

"remove all the ums and uhs"
"cut the filler words, including 'like' and 'you know'"
"remove the ums but leave my thinking pauses"
"clean up the speech in the first section only"
"put back the 'you know' at 2:14"

Cuts Every Um, Uh, Er, and Hmm by Default

One request — "remove all the ums and uhs" — runs the built-in filler pass: um, uh, er, and hmm. Each instance is located in the word-level transcript with its own start and end time, and the cut lands exactly on those boundaries. You don't mark anything, and it doesn't matter whether there are three fillers or three hundred: it's the same single sentence to you.

This is the edit most people dread doing by hand, because it's dozens of tiny, fiddly cuts where a few frames too many clips a real word. Snapping to transcript boundaries is what makes the automated version safe.

Add Your Own Filler Words — "Like", "You Know", "Kind Of"

Everyone has crutch words the standard lists miss. Name yours and the agent treats them as fillers: "also cut every 'like' and 'basically'", "remove 'you know' wherever I say it&quot. Because the pass is transcript-driven, you can see exactly which instances were removed — and if a cut took a use you actually meant, one message restores it.

Transcript-Timed Precision, Not Waveform Guesswork

Filler words are short, quiet, and glued to real words — the worst case for tools that cut by audio level. Valmera cuts from language: the analysis produces a word-level transcript where every word carries its own timing, so a removed "um" takes nothing with it. You can open the editable transcript to review what was said and fix any misheard word.

Listen to the phrase before and after each removed filler. Keep a word when it conveys hesitation, emphasis, or context you want to preserve. If the cut clips a syllable or compresses the pacing too much, restore the range or request a wider pause, then audition the revision. Recorded cuts support review but do not guarantee natural speech.

Keep It Sounding Human

Not every filler should die. A "hmm" before a genuine answer reads as thought; stripping absolutely everything can make you sound like a text-to-speech voice. Valmera takes direction: "only remove the ums, keep everything else", "clean up the intro but leave the interview answers natural&quot. And since nothing is destructive, any cut range can be restored after you watch the preview.

Who reaches for this? Course creators cleaning up lesson recordings, podcasters tightening clips, founders polishing demo and pitch videos, and anyone whose first take is fluent except for the ums. If you also repeat lines until they land, pair this with the repeated-take remover.

More Than a Filler-Word Remover

The same chat handles the rest of the cleanup and the finish: remove the silences, make any cut you can describe, add word-timed captions, music with automatic ducking, reframing, and color — all by typing. One request can combine jobs: "remove the fillers and the dead air, then caption it&quot.

Account creation and uploads are free, but editing requires a subscription. You're charged for the work actually done, so simple cleanup passes cost the least; see plans and pricing or browse the full AI video editing tools hub and the cuts & cleanup docs.

Cut the Ums Out Today

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Frequently Asked Questions

Remove Filler Words from Your Video

The agentic AI video editor — describe the edit, review the preview, download the export. Account creation and uploads are free; a subscription is required to edit.