HeyGen Filler Word Removal
Remove "um"s, "uh"s, and dead air from your videos.
AI Filler Word Removal: Cut the Ums, Uhs, and Dead Air
Upload a talking video and get it back without the filler. The model finds every “um,” “uh,” “like,” and awkward pause, cuts them out, and stitches the video back together so the edits are invisible.
What can you do with it?
- Tighten interview footage. Podcast clips, customer testimonials, expert soundbites: cut the hesitation, keep the substance.
- Polish talking-head content. Course lessons, product walkthroughs, and social clips sound rehearsed even when they weren’t.
- Rescue one-take recordings. Skip re-recording a 10-minute explainer because of a dozen “uhs.” Fix the take you have.
- Shorten without editing. Long silences get trimmed too, so a rambling 8-minute recording can come back noticeably tighter.
How to use it
- Upload your video. MP4, MOV, WebM, any common format.
- Run it. The model transcribes the speech, finds filler words and long silences, and cuts them.
- Download the result, or use it right here in your next step.
What you get
One cleaned video file, same resolution and format family as your source. The cuts land on word boundaries, so the speaker keeps their rhythm and nothing sounds chopped.
The run also reports what changed: how many cuts were made and how much shorter the output is than the original.
Pricing
$0.01 per second of the input video, with a 1-minute minimum per run. If the model finds nothing to cut, the run is free.
Tips
- Clear speech separates best. A single speaker with decent audio gives the model the cleanest transcript to cut against.
- Run it before subtitles or dubbing. Cleaning first means downstream steps work from the tight version, and you pay them for fewer seconds.
- Don’t fear the pauses you meant. The model targets dead air and verbal tics, so deliberate beats generally survive.
- Check the reduction. If a run barely cut anything, your delivery was already tight. Take the compliment.