Cleanvoice AI

Cleanvoice AI is the right tool for podcasters and content creators who spend significant time manually editing out filler words and cleaning up home recordings. The non-destructive review workflow, where you see every proposed edit before it is applied, is the feature that makes it practical for professional use. Getting a first pass of filler word removal from a 45-minute episode done in minutes rather than hours is a genuine time saving.

The honest limitation is that Cleanvoice handles common, predictable noise problems well but does not replace professional audio repair for badly compromised recordings. Intermittent noises like dogs barking, doorbells, or sudden construction that appear unpredictably are less reliably removed than steady hum or fan drone. For severe noise problems, iZotope RX is still the more surgical tool. For typical podcast home recordings, Cleanvoice hits the right balance of automation and quality at its price point.

Cleanvoice AI is an automated podcast audio editing tool that removes filler words, background noise, mouth sounds, and dead air from voice recordings using AI. It is purpose-built for podcasters, video creators, and content teams who want to reduce editing time without learning a traditional audio editor. The process is straightforward: upload an audio or video file, Cleanvoice analyzes the recording, detects and marks filler words and problem sounds, shows you a reviewable timeline before applying changes, and exports the cleaned file.

The platform handles common home recording problems including air conditioning hum, computer fan noise, room echo, street noise, and keyboard clicking. It also generates transcriptions, summaries, and show notes from the processed audio. Pricing is based on processing hours rather than a monthly seat cost. The entry plan at $11 per month covers 10 hours of audio processing, scaling up to $90 per month for unlimited processing. A free trial provides 30 minutes of processing to evaluate accuracy before subscribing. Cleanvoice supports multiple languages for filler word detection beyond English.