Cleanvoice AI
Strip filler words, mouth noises, silences, and background noise from podcast audio automatically, getting broadcast-ready episodes without manual editing.
The verdict on Cleanvoice AI: Podcasters who want filler words, mouth clicks, and dead air removed automatically instead of edited by hand Cleanvoice is for podcasters who want the manual editing pass handled automatically, specifically the removal of filler words, mouth clicks, breathing sounds, and dead air that makes raw recordings unpublishable. Pricing: From $1-2.20/hr credits / $11/mo (10hrs) / $30/mo (30hrs).
Best For
Podcasters who want filler words, mouth clicks, and dead air removed automatically instead of edited by hand
Standout Feature
Handles the tedious audio cleanup pass entirely through AI analysis, saving hours of manual editing per episode
TL;DR
A genuine time-saver for podcast post-production, it occasionally removes pauses that were actually intentional.
Alternatives
Fit Score: use-case reference
How this is scoredCleanvoice AI scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
Podcasters who want filler words, mouth clicks, and dead air removed automatically instead of edited by hand
4.0/5- Capability
- 4/5
- Reliability
- 4/5
- Value
- 4/5
- Ease
- 5/5
- Compatibility
- 3/5
Cleanvoice saves hours of podcast editing and handles many accents well, with an easy upload-and-download workflow at good value.
Live audio processing or video content cleanup
2.2/5- Capability
- 1/5
- Reliability
- 3/5
- Value
- 3/5
- Ease
- 3/5
- Compatibility
- 1/5
There is no live processing and it is limited to audio with no video support, per its own cons.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Cleanvoice AI is a specialized audio post-production tool that automatically removes the audio artifacts that make podcasts and recorded speech sound unprofessional: filler words (um, uh, like, you know), stutters and false starts, mouth clicks and breathing sounds, and dead silence stretches. It handles these automatically through AI audio analysis without requiring manual identification or editing, upload an audio file and receive a cleaned version with all detected artifacts removed within minutes. Cleanvoice supports multi-speaker audio and can be configured per speaker, allowing different filler word removal sensitivity for hosts versus guests. The tool works across 40+ languages, recognizing filler word patterns in each language's natural speech.
Export formats include the cleaned audio file, an optional removal report showing what was cut and when, and an SRT subtitle file generated from the clean transcript. A free trial provides a limited amount of audio processing so you can test the automatic cleanup before committing to a paid plan. Standard plans start at $10/month for 10 hours of processing. Cleanvoice is most valuable to podcasters, YouTube creators, and corporate communications teams who record regular long-form audio content and currently spend significant time on manual filler-word editing, the tool can reduce post-production time by 60–80% for this specific task.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Saves hours of podcast editing
- • Handles many accents well
- • Easy upload and download
- • Good value
- • Occasionally removes intentional pauses
- • No live processing
- • Limited to audio (no video)
Key Features
- Filler word removal
- Silence trimming
- Stutter removal
- Multilingual support
- Transcript editing
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedNo dedicated privacy policy or security page could be retrieved; the vendor's homepage markets ISO 27001 certification and GDPR compliance, but these claims could not be confirmed against an actual legal or security document, so they are not reported here as held certifications.
- Compliance
- Not published
- Retention
- Not published
- Export
- Not published
Source: cleanvoice.ai
As published by the vendor. Verify independently before purchase decisions.
Our Take
The credit-based pricing model is friendlier for low-volume producers than a flat monthly fee, but the per-hour cost adds up once you're editing multiple episodes a week. One real limitation: it occasionally removes pauses that were intentional, so a final listening pass before publishing is still worth doing.