Every “um,” “ah,” and “you know” chips away at how polished your recording sounds. If you want to remove filler words from a Loom video, the good news is you don’t have to re-record anything. Filler words and long pauses are the fastest way to make an otherwise solid walkthrough feel unrehearsed — they pad the runtime, hurt your credibility, and quietly tank watch-through rates because viewers sense the rambling and click away. In this guide we’ll cover three approaches: Loom’s own built-in removal, manually cutting in a video editor, and the cleanest fix of all — rebuilding the narration with AI so the audio sounds smooth instead of spliced.
Each method has trade-offs. Trimming works when you have a few stray “ums” in otherwise tight audio. But if the recording rambles, repeats itself, or trails off, no amount of cutting will save it — you need to rethink the narration entirely. Here’s how to decide.
Loom does offer native filler-word and silence removal, and it’s the most convenient starting point if your plan includes it. On supported paid plans, Loom can automatically detect and trim “um,” “ah,” and dead air after a recording finishes processing.
It’s genuinely useful, but be honest about the limits. Automatic detection has historically worked best in English and can miss filler words in other languages or accents. Aggressive cuts sometimes leave the audio sounding choppy, with words clipped slightly short. And crucially, it only removes individual sounds — it can’t fix a rambling structure, where you repeat a point three times or wander off before getting to the demo. For that, you need to change what’s actually being said.
If Loom’s native tool isn’t on your plan, or you want finer control, you can download the Loom video and edit it in a dedicated tool. Descript is popular here because it transcribes your audio and lets you delete filler words by deleting them from the text — remove the word “um” and the corresponding audio is cut. CapCut and Adobe Premiere Pro let you do the same thing on a traditional timeline.
The honest downside of all manual cutting: it’s tedious, and the more you cut, the choppier the result. Splicing out dozens of small words leaves micro-gaps and unnatural rhythm that listeners notice even if they can’t name it. It also still can’t fix rambling — you’re only removing noise, not rewriting the message. For a deeper walkthrough of timeline editing, see our guide to editing a Loom video.
Instead of splicing out individual sounds, ScreenStory takes a different approach: it rebuilds the narration from scratch. The AI watches your screen recording, writes a clean, filler-free script based on what’s actually happening on screen, and generates a smooth, natural AI voiceover synced to the visuals — with word-level captions and an optional talking avatar. There are no “ums” to cut because the new narration never had any. This is the method to reach for when the original audio is too rambling to salvage by trimming.
Because the voiceover is generated rather than recorded, the pacing is even and professional from the first second — no clipped words, no awkward gaps. Everything runs in the browser on H100 GPUs, supports 15+ languages, and starts at $9.99/mo with a free trial. If you also want to swap in a different voice entirely, see adding a voiceover to a Loom video, and our broader guide to making a Loom video look professional.
Cleanup is easier than prevention, but a few habits cut filler dramatically before you ever hit record:
| Method | Effort | Fixes rambling structure? | Audio smoothness | Best for |
|---|---|---|---|---|
| Loom native removal | Low | No | Can be choppy | A few stray ums on a paid plan |
| Manual editor (Descript/CapCut/Premiere) | High | No | Choppy if aggressive | Fine control over light cleanup |
| Rebuild narration with AI (ScreenStory) | Low | Yes | Smooth & even | Rambling audio that can’t be trimmed clean |
For light touch-ups, Loom’s native tool or a quick pass in Descript is plenty. But when the recording wanders, repeats, or just sounds unpolished no matter how much you cut, rebuilding the narration is the only approach that fixes both the filler and the structure. If you’re weighing your options more broadly, our roundup of the best Loom alternatives and our guide to adding captions to a Loom video are good next reads. See pricing to get started.
Yes. On some paid plans Loom offers native filler-word and silence removal that scans your recording and trims “um,” “ah,” and dead air. It works well for light cleanup but has historically been English-focused and can’t fix rambling structure — only the individual sounds.
Download the video and edit it in a free tool like CapCut, or use Descript’s free tier to delete filler words from the transcript. Both require manual effort, and aggressive cutting can make the audio choppy. ScreenStory offers a free trial if you’d rather rebuild the narration cleanly instead.
It can. Both Loom’s native tool and manual splicing remove tiny slices of audio, which leaves micro-gaps and uneven rhythm when you cut a lot. Rebuilding the narration with a fresh AI voiceover avoids this entirely because the new audio is generated smoothly with no cuts.
Yes. With ScreenStory you paste your public Loom link, the AI writes a clean script from the footage, and a fresh filler-free voiceover is generated and synced to your screen — so you fix both the filler words and the rambling structure without ever picking up a microphone again.
Loom’s automatic detection has historically worked best in English. ScreenStory generates narration in 15+ languages, so you can produce clean, filler-free voiceover regardless of the original recording’s language.
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