What Are Filler Words?

Filler words are sounds and phrases like 'um', 'uh', 'like', and 'you know' that pad speech without adding meaning — and slow down a video's pace.

Filler words are the sounds and phrases that pad speech without adding meaning — “um,” “uh,” “like,” “you know,” “so,” “actually.” They’re a natural part of how people talk while thinking, but on video they slow the pace, dilute your message, and chip away at viewer retention.

Why filler words hurt video

In short-form especially, pacing is everything. Filler words and the pauses around them create dead air, and dead air is where viewers swipe away. Removing them:

  • Tightens pacing so every second earns its place.
  • Boosts authority — clean, direct speech sounds more confident.
  • Improves retention — a faster cut rate keeps people watching, which platforms reward with more reach.

This is closely tied to the jump cut, the edit that splices out the gaps where fillers lived.

Removing filler words the fast way

Manually hunting for every “um” across a recording is tedious. quso.ai’s AI video editor detects and removes filler words and silences automatically — transcribing your audio, flagging the fillers, and trimming them for a tight, professional edit. Paired with the AI clip generator, you can turn a rambling long recording into clean, fast-paced clips ready for social media clipping without scrubbing the timeline by hand.

Frequently Asked Questions

What are filler words?+
Filler words are the sounds and phrases people use to fill pauses while thinking — 'um', 'uh', 'like', 'you know', 'so', 'actually'. They're natural in conversation but add no meaning, and on video they slow the pace and reduce impact.
Why should you remove filler words from videos?+
Cutting filler words tightens your pacing, makes you sound more confident and authoritative, and keeps viewers engaged. On short-form video especially, every second counts, so removing 'ums' and dead air directly improves retention.
How do you remove filler words automatically?+
AI editing tools can detect and cut filler words and silences for you. Instead of manually scrubbing the timeline for every 'um', the tool transcribes the audio, flags the fillers, and trims them — giving you a clean, fast-paced edit in minutes.

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