Cleanvoice
AI podcast editor that removes filler words, long pauses, mouth sounds, breaths and background noise from audio or video, with an API, Python and JavaScript SDKs and timeline export.
About Cleanvoice
Cutting every "um", stutter, breath and dead-air gap from a recording by hand takes hours, and noisy rooms or phone recordings need separate cleanup before an episode or voiceover is usable.
Who it’s for
- Podcasters, narrators and voiceover artists who edit their own recordings
- Developers adding automatic audio cleanup to an app or workflow (Make, n8n, REST)
When to consider it
Consider Cleanvoice when you want one pass to cut filler words, stutters and silences on every speaker track, strip noise and mouth sounds, and either download the result or export the cuts as a timeline you can adjust in your own editor.
Tradeoffs & limitations
- A free trial cleans 30 minutes with no credit card. Subscriptions are $11 a month for 10 hours, $28 for 30 hours and $90 for 100 hours of processed audio (yearly options available); pay-as-you-go credits are $11 for 5 hours, $20 for 10 hours and $45 for 30 hours and stay valid for 2 years. Prices exclude VAT.
- Billing is by audio duration rounded up to the next minute, uploaded and edited files are deleted after 7 days, and the SDKs do not yet offer stable multitrack support (multitrack editing is available through the API).
SOTA overview · Documentation-based assessment · Sources & review method
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Sources & review method
Documentation-based assessment · Nov 2, 2026 · Prepared with AI assistance; not a hands-on benchmark.
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
Cleanvoice official website
AI podcast editor that removes filler words, long pauses, mouth sounds, breaths and background noise from audio or video, with an API, Python and JavaScript SDKs and timeline export.
Based on official pages and announcements checked on 2026-11-02. No hands-on test, performance benchmark or popularity ranking is claimed.