Delete filler words from video
Find every "um," "uh," and stammered repeat, and cut them with one click.
The first run downloads the speech model to your browser (cached after that). Best on desktop — mobile devices may be slower.
Drop a video or audio file to edit by transcript
or click to browse
How it works
Drop a video or audio file in. WavyVid transcribes it with AI, right in your browser.
Click any sentence in the transcript to mark it for removal — it's struck through, not deleted, so you can undo anytime.
Export: the marked sentences are cut and the rest is stitched back together, with an updated caption file to match.
Filler words are the single most common thing people want cleaned out of talking-head videos and voiceovers. WavyVid's AI transcript scans for standalone filler utterances and verbatim repeated phrases (a classic stammered restart), highlights every one it finds, and lets you remove them all in one pass — while still showing you the full transcript in case you want to cut anything else too.
Frequently asked questions
Will it catch every filler word?
It catches standalone filler utterances ("um," "uh," "like" said on their own) and exact repeated phrases — it won't catch a filler word buried in the middle of an otherwise-clean sentence, since cuts happen at whole-segment boundaries.
Does it delete things automatically without asking?
No — detected filler words are highlighted for review, and nothing is removed until you click "Remove all" (or approve each one individually) and then export.
Can I also manually cut other sentences at the same time?
Yes — filler-word detection and manual sentence-by-sentence editing use the same transcript view, so you can do both in one pass.
Is this only for video, or does it work on audio files too?
Both — drop in a video or an audio-only file (podcast episode, voice memo) and the same filler-removal workflow applies.