Cleanvoice AI
Strip filler words, mouth noises, silences, and background noise from podcast audio automatically, getting broadcast-ready episodes without manual editing.
Alternatives
Overview
Cleanvoice AI is a specialized audio post-production tool that automatically removes the audio artifacts that make podcasts and recorded speech sound unprofessional: filler words (um, uh, like, you know), stutters and false starts, mouth clicks and breathing sounds, and dead silence stretches. It handles these automatically through AI audio analysis without requiring manual identification or editing, upload an audio file and receive a cleaned version with all detected artifacts removed within minutes. Cleanvoice supports multi-speaker audio and can be configured per speaker, allowing different filler word removal sensitivity for hosts versus guests. The tool works across 40+ languages, recognizing filler word patterns in each language's natural speech.
Export formats include the cleaned audio file, an optional removal report showing what was cut and when, and an SRT subtitle file generated from the clean transcript. The free tier provides 30 minutes of audio processing per month. Standard plans start at $10/month for 10 hours of processing. Cleanvoice is most valuable to podcasters, YouTube creators, and corporate communications teams who record regular long-form audio content and currently spend significant time on manual filler-word editing, the tool can reduce post-production time by 60–80% for this specific task.
Key Features
- Filler word removal
- Silence trimming
- Stutter removal
- Multilingual support
- Transcript editing
- • Saves hours of podcast editing
- • Handles many accents well
- • Easy upload and download
- • Good value
- • Occasionally removes intentional pauses
- • No live processing
- • Limited to audio (no video)
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