Cleanvoice – Automated Podcast Editing
Remove background noise, fillers, mouth sounds, silence & more from your podcast with Cleanvoice AI. Get studio-quality sound without hours of editing.
Cleanvoice – Automated Podcast Editing launched on November 20, 2021 with 221 votes, #108 of 2,925 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
Cleanvoice is an automated podcast editing tool that launched in 2021. It removes filler sounds, background noise, and dead air from podcast recordings, streamlining the post-production process. The software is designed for podcast creators and producers who want to reduce manual editing time. It uses AI to identify and eliminate common audio issues, making the editing workflow faster and more efficient for independent and professional podcasters alike.
written from the facts on this page · September 2026
From the sources
Filler words and dead air, cut from every speaker's track in one pass. Every cut comes back as a timeline you can open and adjust yourself. 1 # pip install cleanvoice-sdk 2 3 from cleanvoice import Cleanvoice 4 5 client = Cleanvoice.from_env() 6 7 result = client.process( 8 "episode.mp3", 9 fillers=True, 10 stutters=True, 11 mouth_sounds=True, 12 hesitations=True, 13 long_silences=True, 14 breath=True, 15 muted=True, 16 remove_noise=True, 17 keep_music=True, 18 normalize=True, 19 studio_sound=True, 20 ) 21 22 result.audio.download("cleaned.mp3") Get your API key Any place, any device, studio sound . Four recordings from the worst places to record, each playable raw and cleaned. This audio…from cleanvoice.ai
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