Remove filler words from video — the ums, uhs, and "like"s
Nobody notices filler words while recording, and everybody notices them on playback. Hunting each "um" on a timeline takes forever, which is why most creators just live with them. Easecut reads your video's transcript instead: every filler word and fumbled line is flagged with its exact moment, queued as a suggested cut, and gone the moment you approve it.
Why transcript-based filler removal works better
Filler words are a language problem, not a volume problem — a waveform can't tell "um" from a real word. Because Easecut is a transcript-based video editor, it works where the filler actually lives: in the words. The transcription is word-level, so each cut maps to a precise slice of audio and video, and the edges are refined so cuts land in the natural gaps around the filler instead of clipping neighboring syllables.
What gets flagged
- Classic filler — um, uh, er, hmm.
- Verbal padding — "like", "you know", "sort of" when they carry no meaning.
- Fumbles — "wait, did I say that right?" and half-finished sentences.
- False starts — the two words you said before restarting the line properly.
Everything lands in one review list. Approve all with a glance, or keep the fillers that are part of your voice — you're the final call on every cut.
One pass cleans the whole video
Filler is rarely the only problem in a raw recording. The same analysis also finds silences and dead air, retakes, and production chatter, so you fix everything in a single review instead of running four separate tools.
Frequently asked questions
How does Easecut find filler words?
Easecut transcribes your footage word-by-word, then scans the transcript for filler — um, uh, like, you know — and for fumbled, restarted lines. Each hit becomes a suggested cut tied to its exact moment in the video.
Will it cut words I actually meant to say?
You decide. Every suggested cut shows the transcript line and timestamp, and nothing is removed until you approve it. If a "like" was intentional, reject that one cut and keep the rest.
Does removing filler words leave audible jumps?
Cut edges are refined against the audio so they land in the natural gaps around the filler, not mid-syllable. Most filler cuts are invisible in the final export.
Can it also remove silences and retakes?
Yes — filler removal is part of one pass that also flags silences, retakes, false starts, and production chatter, so a single review cleans the whole video.
Sound sharp on every take
Upload a raw recording, review the suggested cuts, export. Plans from $29/mo.
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