Speech-to-text and voice APIs developers trust for accuracy and speed.
Cleanvoice AI
Automatically strip filler words, mouth sounds and silence from podcasts.
✓ Editor-verified listing — details reviewed by Grab AI Tool editors; pricing re-checked regularly.
What is Cleanvoice AI?
Cleanvoice AI cleans spoken-word recordings automatically: it detects and removes filler words like 'um' and 'uh', mouth clicks, lip smacks, breathing and long silences, then levels the result. Upload a raw podcast or voice-over file and download an edited version in minutes, in more than twenty languages, without touching a waveform editor at all.
It is built for podcasters and audiobook or course creators who spend hours on tedious cleanup edits. Integrations with podcast hosts and an API suit production teams processing episodes at volume. The AI is conservative in the right places, but aggressive settings can chop natural pauses, so reviewing the flagged sections matters. Pricing is credit-based, which suits irregular producers better than subscriptions.
Key Features
- Filler-word and mouth-sound removal
- Automatic silence trimming
- Background noise reduction
- Multitrack editing support
- API and podcast-host integrations
Pros
- Saves hours of manual cleanup editing
- Works across more than 20 languages
- Credit pricing suits occasional producers
Cons
- Over-editing is possible on tight settings
- Credit packs need planning for irregular users
- Cleanup only — not a creative editor
Pricing
- Model: Paid
- Credit-based pricing — buy hours of processing as you need them, with a free trial to test your own recordings; see the official site for current rates.
Adding Up Your AI Bill?
If you pay for Cleanvoice AI alongside other AI subscriptions, the monthly total adds up quietly. Tick every tool you pay for in our free AI Tool Cost Calculator to see your real monthly and yearly bill — and spot overlaps you can cut. Still choosing? Start with our guide on how to choose the right AI tool.
How We Rated It
Scores reflect our editors’ independent assessment at the time of review.
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