Remove Filler Words Free Online

Why filler words matter

Every unscripted recording has them. "Um" and "uh" are what your mouth does while your brain catches up, and in live conversation nobody notices. On playback they are impossible to miss. A 40 minute interview commonly carries two to four hundred of them: several minutes of dead weight, and a running signal of hesitation that quietly undercuts whatever you are actually saying.

Cutting them by hand is the real problem. Each one lasts a fraction of a second, they are scattered across the entire file, and finding them means scrubbing a waveform at high zoom looking for blips. That is an hour of tedious work for a single episode, which is why most people leave them in and hope nobody notices.

What VidClean removes

VidClean cuts standalone vocal fillers: um, uh, er, erm, ah, hmm, mm, mhm, and eh, including drawn out forms like "ummm" and "uhhh". Matching is whole word, so ordinary words that merely begin with those letters are never touched. Umbrella, ahead, her, and myself all survive intact.

It deliberately does not remove "like", "you know", "I mean", "basically", or "actually". Those are real words whose removal changes meaning and sometimes breaks grammar, and deciding when they are filler rather than speech takes judgment that a timestamp cannot supply. Leaving them to you is the safer default.

How it works

Step 1. Upload audio or video. VidClean transcribes it and produces word level timestamps, so every spoken word carries a precise start and end.

Step 2. Each filler is matched against that transcript and marked. Back to back fillers such as "um, uh" merge into a single cut instead of two.

Step 3. The audio is cut at those timestamps and rejoined. Every cut is pulled inward by 40 milliseconds so neighbouring words keep their edges, and each seam gets an 8 millisecond fade so the join makes no click. You download the result as a 128 kbps MP3.

Fewer fillers when you record

Pause instead of bridging. Silence between sentences reads as confidence on playback, and you can tighten those pauses afterwards with the free silence remover.

Slow your opening. Most fillers cluster in the first minute, while you are still finding your rhythm.

Script the first thirty seconds word for word. Knowing exactly how you start removes the moment where hesitation usually begins.

Record sitting upright or standing. Breath support steadies your pacing, and steady pacing produces fewer fillers.

Do not monitor yourself while speaking. Counting your own ums reliably produces more of them.

Who it is for

Podcasters publishing unscripted conversation, where a tighter edit is the difference between a listener finishing the episode and dropping out at minute five. Interviewers, who cannot direct a guest's speech and have to fix it afterwards. Course and tutorial creators, where audible hesitation reads as uncertainty about the material itself. YouTubers cutting talking head footage. Anyone turning a raw recording into something publishable without opening a full editor.

Frequently asked questions

Is filler word removal free?

The transcript is free. Upload your file to VidClean's free transcriber and the filler words are flagged at no cost, with no account. Removing them and downloading the cleaned MP3 is a Pro feature at $8.99/month. See pricing.

What counts as a filler word?

Common spoken fillers: um, uh, er, mm, ah, and hmm. VidClean uses the word-level timestamps from your transcript to find and cut them, then re-joins the audio so it still sounds natural. English and major European languages are supported.

How is this different from Descript?

Descript removes filler words too, but it starts at $24/month and needs an account and a desktop app, and Cleanvoice is paid only. VidClean gives you the flagged transcript free with no account, and the cleaned MP3 is a single Pro feature at $8.99/month. Great for podcasters who only need filler words gone.

Does it work on video files or just audio?

Filler word removal produces a cleaned MP3, so it is built for audio and for the audio track of a video. Upload MP3, WAV, or M4A, or a video file and the audio track is used. For the cleanest result, remove background noise first.

What does the cleaned output sound like?

The ums and uhs are cut and the surrounding speech is re-joined with a short buffer so the result sounds natural, not choppy. You get a cleaned MP3 to download. If the source is noisy or uneven, run Repair Audio first for the best result.

Does it change how my voice sounds?

No. Nothing is pitch shifted, time stretched, or otherwise processed. The speech between the cuts is exactly what you recorded. The only difference is that the filler sounds are gone and the gaps they left are closed.

What happens to my intentional pauses?

They stay. Filler removal only cuts the filler sounds themselves, never silence. If you also want long gaps and dead air tightened, run the free silence remover, which is a separate tool and needs no account.

Does it work in languages other than English?

Yes. Word level timestamps are available for 25 languages, including Spanish, Portuguese, French, German, Italian, Dutch, Polish, Ukrainian, and the Nordic languages. The filler sounds VidClean matches are the ones these languages share.