Automated Filler Word Removal
Filler words—"um," "uh," "like," "you know"—clutter your content. Removing them manually is tedious. Here's how AI handles it.
How AI Detects Fillers
Speech recognition
AI transcribes your audio, identifying not just words but speech patterns.
Pattern matching
Common fillers are flagged: um, uh, ah, er, like (as filler), you know, basically, actually, sort of, kind of.
Context analysis
AI distinguishes between filler usage and meaningful usage. "I like this" keeps "like." "It's like, you know, complicated" flags both.
Confidence scoring
Each detection gets a confidence score. High confidence = automatic removal. Lower confidence = flagged for review.
What Gets Removed
Always flagged:
- "Um" and "uh"
- "Er" and "ah"
- Repeated words ("the the")
- False starts ("I was—I went")
Context-dependent:
- "Like" (filler vs. comparison)
- "You know" (filler vs. direct address)
- "Basically" (filler vs. explanation)
Removal Options
Aggressive
Remove all detected fillers. Best for polished, produced content.
Moderate
Remove obvious fillers, flag ambiguous ones. Recommended for most content.
Conservative
Flag all fillers for manual review. Best when authenticity matters.
Mark only
Don't remove anything, just highlight for awareness.
Before and After
Original (90 words): "So, um, the thing is, like, when you're editing video, you know, it takes, uh, a really long time. And basically, what happens is you end up, like, spending more time on editing than actually, um, creating content."
After removal (52 words): "The thing is, when you're editing video, it takes a really long time. What happens is you end up spending more time on editing than actually creating content."
Same meaning. 42% tighter. More professional.
Technical Considerations
Audio quality matters
Clear audio = better detection. Background noise reduces accuracy.
Speaker variation
Different speakers have different filler patterns. AI adapts but may need calibration.
Review recommended
Always review AI cuts. False positives happen.
Implementation
Automatic video editing tools like Rendezvous include filler word detection as part of the cleanup process.
See filler removal in action →
Content reviewed January 2026.