Remove Filler Words
Automatically strip "uh", "um", long pauses, and filler phrases from audio.
Free & unlimited
Processed on our servers and deleted right after. Never stored or shared.
About this tool
- 1
Upload audio
Upload an audio recording (MP3, WAV, or other formats) that contains speech with filler words.
- 2
Detect fillers
The tool analyzes the audio and identifies filler words (uh, um, like, you know) and long pauses.
- 3
Review detections
See a timeline of all detected filler words and pauses. Toggle which ones to remove or keep.
- 4
Export clean audio
Download the cleaned audio with fillers removed and gaps smoothly stitched together.
- Listen to the output to make sure the edits sound natural - removing too many fillers can make speech sound robotic.
- Keep some natural pauses to maintain the conversational flow of the recording.
- This works best on single-speaker recordings with clear audio.
- Process podcast recordings before editing to save time on manual filler removal.
- AI-powered detection of filler words: uh, um, like, you know, so, actually, basically
- Long pause detection and shortening
- Selective removal - choose which fillers to remove on a timeline
- Smooth crossfade stitching to avoid jarring cuts
- Output in MP3 or WAV format
- Cleaning up podcast recordings before publishing
- Polishing interview audio for documentary or video projects
- Improving the quality of presentation recordings and webinars
- Preparing clean audio for voiceover and narration projects