Say goodbye touhhhhh’s

Our AI identifies and removes filler words automatically. Keep your speech concise and professional in podcast or radio interviews.

Loved by 15,000+ podcasters

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Multilingual Filler Words

Cleanvoice detects and removes fillers sounds such as um's, ah's, etc. in multiple languages like German or French

The algorithm can also work with accents from other countries such as Australian ones or Irish.

Remove Filler words can be tricky, since just removing them can make the recording sound unnatural.

Our AI identifies the context of the audio and adds silence (room noise) to make the flow of the podcast more natural.

Got your speakers in different tracks?

No problem. Cleanvoice can editing your filler words in multiple tracks as well, while keeping everything in sync.

No need to learn editing jargon or take days to understand UI.
Simple for even first-time users.

Here's why 15K+ podcasters feel confident with our filler words remover

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