Cleanvoice does one job deliberately narrowly: strip filler words like "um" and "uh," mouth clicks, stutters, and long pauses out of a recorded voice track automatically, without touching noise reduction, mixing, or any other part of production. That narrowness is the point, a dedicated tool for a specific annoyance rather than a bundled feature inside a larger suite.
Podcast editors and video creators use it as one step in a longer pipeline, alongside separate noise-reduction or mixing tools, uploading a raw recording and getting back the same audio with disfluencies removed but the natural voice and pacing otherwise intact. An API is available for teams wanting to automate that specific step across an entire episode catalog.
There's no free tier; plans start around $11 a month based on processing volume. For an editor who already has a cleanup and mixing workflow and wants filler words gone without re-recording or manually cutting them out, Cleanvoice's narrow focus does that one job without the overhead of a full editing suite.
