Loved by 40,000+ creators

Cut the ums. Keep the point.

Cleanvoice's AI filler word remover cuts ums, uhs and other fillers from audio and video, in 20+ languages.

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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.

Smart Remover

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.

Multi-track Filler Word Remover

Got your speakers in different tracks?

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

How to Remove Filler Words

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

Try Now
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Upload your audio or video

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Let our AI remove the filler words

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Download or export clean files

Here's why 40K+ creators feel confident with our filler words remover

TB
Tom Box
⭐️ Co-founder of @blue_zoo @animdojo 🎨🎬🚀 ⭐️ Chair of @UKScreenSkills Animation Skills Council /@mcranimation/ @ngenacademy ⭐️ Director of @accessvfx 🌈💪🏿❤️
Also saved a ton of time using AI to do the audio edit, by using @cleanvoiceAI - it auto-removed over 700 pauses, umm, arrs and other noisiness... amazing time saver!
PS
Pastor Steve
Pastor
I'm a pastor who edits my own sermons for 30-minute radio spots. Cleanvoice has not only reduced background noise to professional-level quality, but made the editing process SO MUCH EASIER by removing the "umm's" and other stutters I tend to have.
JJ
Jennifer Johnston
This is the first time I've ever used an AI program for my audio, and I'm very happy with it. I will likely make some tweaks as to what I upload in the future, but overall, I'm very happy. This program will save me a so much time compared to doing it on my own.
KA
Kimberly Almonte
10/10 would use again. It got rid of all the filler words for my podcast like "umm" in just a few minutes and saved me the work of having to painstakingly go through the audio to remove each one.
DT
David Teather
Creator of TikTokApi Python Package | General Webscraping and Reverse Engineering
Working on another everything web scraping video and spent hours trying to clean up my audio, then tried out adobe's AI tool. Didn't work, it sounded too low bit rate and added extra constants to my voice. Tried out @cleanvoiceAI and it worked really well
M
Mike
In less than 1/5th time it takes just to listen to the audio, Cleanvoice has removed all the ums, ahs, lip noises, and converted the audio to my choice of mp3. I don't have to spend hours (with the hundreds of dollars in software / plugins) going through a few minutes of audio, creating backup copies before major changes, etc. I select the options and upload the audio file. Often it's complete in under 5min! Regardless, I can do what I want with all the extra time. This is such an amazing service - the best option is that Cleanvoice will silence rather than remove silences (so timecodes / video is not affected!!!)
H
Harry
Building a few small things so I don't have to wake up for a 9am standup anymore. 📊 @Rella_app 🧨 https://t.co/0hV3qChaHI Prev Founder @getKampsite (sold)
@sethjkramer Recommend @cleanvoiceAI from @adrian_spataru as well - had the best transcription i've seen for my accent (Australian) + clean upped the sound, removed fillers etc. One of those products that just does what it says on the tin and does it well.

Clean 30 minutes of audio for free. No Credit Card needed.

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Frequently Asked Questions

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Filler words are the sounds people make while thinking, like um, uh, er and ah, and their equivalents in other languages. A few sound natural. Too many make a speaker sound unsure and a recording drag.

Upload your audio or video file to Cleanvoice, turn on filler-word removal and start. The AI finds and cuts the fillers, and you download the edited file within minutes. You can try it without signing up.

Filler-word removal works in 20+ languages, including English, German, Romanian, French, Dutch, Spanish, Italian, Portuguese, Polish, Arabic, Turkish and Bulgarian. Detection works on how speech sounds, not on text, so it also copes with accents and with languages that sound similar.

Usually, yes. We see good results with Irish, Australian and German accents, among others. Try it on a short clip, and if the results are poor for your accent, write to us and we'll look into it.

Anyone who speaks on record: YouTubers and video creators, podcasters, course creators, coaches, journalists, and teams editing interviews, webinars or presentations. Developers can remove filler words at scale through the Cleanvoice API.

Cutting fillers by hand means scrubbing through the waveform and making hundreds of cuts per hour of audio. Cleanvoice finds and cuts them in minutes, so you only listen back. If you want to fine-tune, export the edits as a timeline to Audition, DaVinci Resolve, REAPER or Audacity.

Yes. Upload a video and Cleanvoice cuts the filler words from it. If you need to keep the original length, for example to stay in sync with other footage, turn on Preserve Length to silence the fillers instead of cutting them.

Yes. You can upload up to 5 tracks, for example one per speaker. Cleanvoice edits them together so they stay in sync.

Not every um has to go. Removing all of them can make speech sound clipped, so listen back before you publish. On video, cuts become jump cuts unless you turn on Preserve Length.

Most audio and video formats, including WAV, MP3, M4A, FLAC, OGG, AAC, MP4, MOV and WebM. There's no length limit. With an account, files can be up to 3 GB each, or 8 GB in total for a multitrack upload.

We store your original and edited files for 7 days. After that, we delete them permanently.

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