Cleanvoice AI Breath Remover

For podcast producers, voiceover artists, YouTubers, and video content creators, excessive breath sounds are a common quality issue that makes audio feel amateur but manual breath removal in traditional DAWs requires listening through every second of audio and making frame-precise edits that can take hours for a single episode.

Cleanvoice's AI model is trained to distinguish between breath sounds that naturally and appropriately punctuate speech and those that are distracting enough to warrant removal, applying processing selectively rather than uniformly removing all breath sounds in a way that makes speech sound unnaturally robotic.

Sensitivity controls let users adjust how aggressively the tool operates, matching the treatment level to the specific recording quality and production style they're working with.

Beyond breath sounds, the tool handles filler sound reduction (um, uh, false starts), mouth click detection, and silence normalization covering the full range of common voice recording cleanup tasks in a single processing step.

This makes Cleanvoice more comprehensive than tools that only handle noise or only handle breath, providing a complete voice cleanup pass without requiring multiple tools.

Cleanvoice processes audio files through a web interface or API without requiring plugin installation in specific DAWs, making it compatible with any recording and editing workflow.

Processed files are returned in the same format and quality as the input, with the option to receive a comparison between the original and cleaned versions to verify that meaningful audio content hasn't been inadvertently affected.