AI that removes filler words, stutters, and dead air from your recordings
Visit Cleanvoice →Overview
Cleanvoice is an AI audio editing tool that automatically removes filler words (um, uh, like), stutters, mouth sounds, and dead air from podcast and video recordings. It processes audio files and returns clean, broadcast-ready audio — reducing editing time dramatically for podcast producers and clipping teams.
Our take
Cleanvoice occupies a narrow but important niche in the clipping stack. Clean audio is the difference between a clip that feels professional and one that feels rough — and filler words are one of the most common issues in raw podcast and interview recordings. Cleanvoice solves this with near-zero manual effort: upload the file, it comes back clean. The accuracy is impressive, and it handles multiple languages well. For teams clipping from interview or conversation-based content, running audio through Cleanvoice before clipping can significantly improve clip quality without adding meaningful time to the workflow. It's a supporting tool rather than a primary one, but at its price point it's an easy addition to any serious clipping operation.
What it does
The honest breakdown
Consider these too