How to Remove Filler Words (Um, Uh) from Video Automatically
Silence detection can't hear an 'um' — it's a sound, not a gap. Removing filler words automatically requires transcription. Here's how it works and which tools actually do it.
By Benjamin Code, YouTuber & developer of AutoTrim · Last updated: July 8, 2026
Quick answer
To remove filler words automatically, you need a tool that transcribes your footage — it finds "um", "uh" and hesitations in the transcript with timestamps and cuts those ranges. In 2026 the main options are AutoTrim (local AI, exports to Final Cut Pro/Premiere/Resolve), Descript (cloud editor, subscription) and Premiere Pro's text-based editing (inside Premiere, per sequence). Final Cut Pro has no native option.
Why this needs transcription, not just silence detection
Classic silence removers watch the audio level: when the waveform goes flat, that's a cut. But a filler word isn't silent — "um" can be as loud as the rest of the sentence. The only reliable way to find fillers is to know what is being said: transcribe the audio, match filler patterns in the text, and map them back to precise timestamps. That's why this feature only appeared once speech-to-text models became fast and accurate enough to run on a normal computer.
The tools that can do it (2026)
| Tool | Where it runs | Output | Works with FCP? | Pricing model |
|---|---|---|---|---|
| AutoTrim | Locally on your machine | One merged FCPXML/XML timeline | Yes — native FCPXML export | Free version · $15/mo · $119/yr · $149 lifetime |
| Descript | Cloud (upload required) | Edit inside Descript, export/round-trip | Via export round-trips | Subscription |
| Premiere Pro text-based editing | Inside Premiere | Cuts applied to one sequence at a time | No — Premiere only | Creative Cloud subscription |
| Final Cut Pro (native) | — | No transcription-based editing | — | No option |
The workflow with AutoTrim
- 1
Drop in every file from the shoot
Video and audio together — separately recorded pairs are detected and synced automatically.
- 2
Enable filler-word removal
It runs alongside silence detection. Transcription happens on your machine; nothing is uploaded.
- 3
Preview the cuts
Filler-word detection is experimental — check the cuts, especially on fast talkers and non-English footage.
- 4
Export one merged timeline
FCPXML for Final Cut Pro, XML for Premiere Pro or DaVinci Resolve. All clips cleaned, assembled, in order.
Keeping it natural
- Don't aim for zero fillers — speech with every "um" removed can sound clipped and robotic. Cut the long, obvious ones.
- Keep 100–200 ms of padding around cuts so breaths and consonants aren't chopped.
- Fix it at the source too: a slower speaking pace on set beats any amount of automatic cleanup.
- Always preview before export — a false positive in the middle of a word is worse than a leftover "uh".
Cut the ums from your next video
Local AI, no uploads, one clean timeline for FCP, Premiere or Resolve.
Try AutoTrim FreeFree version with unlimited previews — pay only when you export.
Frequently asked questions
How does automatic filler-word removal work?
The tool transcribes your footage with speech-to-text AI, locates words like "um", "uh" and hesitations in the transcript with their exact timestamps, and cuts those ranges from the timeline. Silence detection alone cannot do this — fillers are sounds, not gaps, so transcription is required.
Which tools can remove filler words automatically?
The main options in 2026: AutoTrim (local AI transcription, exports one merged timeline to Final Cut Pro, Premiere or Resolve), Descript (cloud editor with filler-word removal built into its transcript workflow), and Premiere Pro's text-based editing (inside Premiere, per sequence). Final Cut Pro has no native option.
Can I remove filler words without uploading my footage?
Yes — that is AutoTrim's approach: the transcription model runs entirely on your machine, so nothing is uploaded and it works offline. Cloud tools like Descript require uploading your footage to their servers first.
How accurate is automatic filler-word removal?
Good enough to save real time, not good enough to skip the preview. Accuracy depends on language, diction and audio quality. AutoTrim marks its filler-word removal as experimental — preview the cuts before exporting, especially for non-English footage.
Should I remove every single "um"?
Usually not. Removing all of them can make speech feel unnaturally dense. Many editors cut the obvious, drawn-out fillers and hesitations but keep some natural rhythm — with padding around cuts so breaths are not clipped.
Does this work for podcasts and audio-only files?
Yes. AutoTrim accepts audio files as well as video, and if you record audio and video separately it detects matching pairs and syncs them automatically before cutting.