Cleanvoice AI
VerifiedCleanvoice automatically removes filler words (um, uh, like), mouth sounds, stutters, dead silence, and background noise from podcast and voice recordings — saving hours of manual audio editing.
About Cleanvoice AI
"AI tool that removes filler words, stutters, and noise from podcast audio"
Cleanvoice is an AI audio post-production tool designed specifically for podcasters, voice-over artists, and anyone who records spoken audio content. It automates the most tedious part of audio editing: cleaning up the raw recording. Cleanvoice's AI detects and removes filler words (um, uh, like, you know, actually) across 36+ languages — not just English. It also removes mouth sounds (clicks, smacks, lip sounds), stutters and repetitions, dead air longer than a configured threshold, and background noise and room reflections. The process requires no audio editing skills: upload an audio or video file, configure the cleaning preferences, and receive a cleaned version in minutes. An edit timeline shows every edit the AI made, allowing users to review and undo any specific change they disagree with. For multilingual podcast producers, Cleanvoice is a significant advantage: it handles German, French, Spanish, Portuguese, and dozens of other languages with the same effectiveness as English — unlike most audio tools trained primarily on English speech. The API enables Cleanvoice integration into automated podcast production workflows. Podcast networks and production companies use it to process hundreds of episodes efficiently. Individual podcasters use it to achieve professional audio quality without learning audio editing or spending hours in a DAW.
Key Features
- Automatic filler word removal (um, uh, like) in 36+ languages
- Mouth sound and lip smack removal
- Stutter and repetition detection and removal
- Dead silence removal with configurable threshold
- Background noise and room reflection reduction
- Edit timeline showing every AI edit for review and undo
- Upload audio or video files directly
- API for automated podcast production workflows
- Supports MP3, WAV, MP4, and other common formats
- Multilingual filler word models for non-English podcasts
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