Cleanvoice

AI post-production cleanup

Cleanvoice removes um, ah, mouth sounds, long silences, and background noise from podcast recordings automatically. Pay-as-you-go credits at $11 for 5 hours, monthly plans $11-$90 for 10-100 hours. Best as a first-pass cleanup before manual editing; the AI saves real hours but doesn't replace a careful editor.

Cleanvoice has carved out a specific niche in podcast post-production: automated removal of the verbal cruft that makes raw recordings hard to listen to. The product handles filler words (um, ah, you know), long silences, mouth sounds (lip smacks, breaths), and background noise, running through the audio file and producing a cleaned version you can use as the basis for further editing. 2026 pricing is flexible: a free trial with 30 minutes of processing, pay-as-you-go credits at $11 for 5 hours (credits remain valid for 2 years), monthly subscriptions $11-$90/month covering 10-100 hours, and annual subscriptions $110-$900/year covering 120-1,200 hours. Billing is based on the duration of audio files, with a 1-minute minimum and credits rounded upwards. For most podcasters, the natural workflow is using Cleanvoice as the first pass: upload the raw recording, get a cleaned version back, then edit normally in your DAW or in Descript. The time savings on filler word removal alone, which would otherwise mean scrubbing through a two-hour interview hunting for ums, can be substantial. The honest caveat is over-aggressive removal can make a host sound robotic or unnaturally clipped, particularly if the original speech relies on rhythm and natural pauses. Most experienced editors run Cleanvoice with moderate settings and then make manual decisions on the residual edits rather than trusting the cleanup blindly. For a creator who wants to skip post entirely, this works. For a creator who treats editing as part of the craft, Cleanvoice is a useful accelerant rather than a replacement.