Cleanvoice AI

Cleanvoice AI is a post-production tool that automatically removes filler words, mouth noises, stutters, and silences from podcasts and voice recordings. It uses speech recognition and audio fingerprinting to detect unwanted sounds while preserving natural cadence. Ideal for podcasters, journalists, and content editors, it saves hours of manual cleanup.

Overview of Cleanvoice AI

Cleanvoice analyzes waveform and phoneme sequences to find filler expressions like ‘uh’, ‘um’, ‘you know’, along with clicks, hums, and repetitive pauses. Users can preview edits, tweak sensitivity, and export both the cleaned file and a text transcript for reference. It integrates with Descript, Audacity, and major DAWs, and supports multi-language detection for international podcasts. Because it’s cloud-based, edits happen quickly without local rendering. For teams, batch uploads process whole episode libraries overnight, turning raw audio into publish-ready recordings automatically.

How to use Cleanvoice AI

Upload your raw recording (MP3, WAV, or M4A) and let the tool analyze it. Review detected fillers in the transcript interface and confirm removals or adjust thresholds. Export the cleaned version or download both tracks to compare. Integrate via Zapier or API to clean episodes in bulk right after recording. Keep a noise-removal preset tuned to your speaker’s voice for consistent results across sessions.

What is Cleanvoice AI

Cleanvoice AI is a smart editing assistant for spoken content. Instead of replacing creative editing, it automates the tedious polish—removing distractions while keeping flow. For podcasters, agencies, and educators, it’s an invisible step that turns amateur recordings into professional audio effortlessly.