Beginner
How to remove filler words automatically on Loom
Quick Answer
Loom's AI-powered filler word removal automatically detects and removes words like 'um', 'uh', and 'like' from your recordings. Access this feature through the editing panel after uploading or recording your video, then enable the filler word removal toggle.
Prerequisites
- Active Loom Business or Enterprise account
- Completed Loom recording with audio
- Access to Loom's editing features
- Recording under 2 hours in length
1
Access your Loom recording
Navigate to My Library in your Loom dashboard and select the recording you want to edit. Click on the video thumbnail to open the recording page. Ensure your recording has finished processing completely before proceeding.
Tip
Filler word removal works best on recordings with clear audio and minimal background noise.
2
Open the editing panel
Click the Edit button located below your video player. This will open the editing interface with your video timeline and various editing tools. Look for the AI Tools section in the left sidebar.
3
Enable filler word detection
In the AI Tools panel, locate the Remove Filler Words option. Toggle the switch to On. Loom will automatically analyze your audio and highlight detected filler words like 'um', 'uh', 'like', 'so', and 'you know' in the timeline.
Tip
The analysis process may take 1-3 minutes depending on your recording length.
4
Review detected filler words
Scroll through the timeline to see highlighted filler word segments marked in orange. Click on any highlighted section to preview that portion of your recording. Use the Play button to listen to the context around each detected filler word.
Tip
Review each detection carefully as AI may occasionally flag legitimate words that sound similar to filler words.
5
Customize removal settings
Click Advanced Settings to adjust sensitivity levels. Use the slider to set Detection Sensitivity from conservative to aggressive. Check or uncheck specific filler word types like
Um/Uh, Like, So, and You Know based on your preferences.Tip
Start with conservative settings for important recordings to avoid removing legitimate speech.
6
Apply automatic removal
Click the Remove All Detected button to automatically delete all highlighted filler words. Alternatively, manually select individual filler words by clicking their timeline segments and pressing Remove Selected. Watch the preview to ensure the audio flows naturally.
Tip
Use keyboard shortcut
Ctrl + Z (Windows) or Cmd + Z (Mac) to undo any removals you want to keep.7
Fine-tune the results
Play through your entire recording to check for choppy transitions or awkward pauses. Use the Smooth Transitions toggle to automatically adjust spacing between remaining speech segments. Manually adjust any remaining issues using the trim tools.
8
Save and publish changes
Click Save Changes in the top right corner to apply your filler word removals. Choose Update Original to replace the existing recording or Save as New to create a copy. Your processed video will be available in your library within 5-10 minutes.
Tip
Always save as a new copy for important recordings to preserve the original version as backup.
Troubleshooting
Filler word removal option is not available
Ensure you have a Loom Business or Enterprise account. This feature is not available on free or starter plans. Check your account settings under Billing & Plans to verify your subscription level.
AI is removing legitimate words
Lower the Detection Sensitivity in Advanced Settings and manually review each detection. Use the Restore button to bring back incorrectly removed words, or uncheck specific filler word types that are being over-detected.
Audio sounds choppy after removal
Enable Smooth Transitions in the editing panel and increase the transition duration. If issues persist, manually adjust the timeline cuts or reduce the aggressiveness of filler word detection settings.
Processing takes too long or fails
Ensure your recording is under 2 hours and has clear audio quality. Close other browser tabs to free up memory, refresh the page, and try again. For persistent issues, try splitting longer recordings into shorter segments.
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