How to Remove Filler Words (Um, Uh, Like) From Video

To remove filler words from a video, transcribe it, find the "um," "uh" and unnecessary "like" or "you know," and cut them out, either by hand on the timeline or with a transcript-based or AI tool that does the detection for you. Keep padding around each cut and leave a few natural fillers in conversational content, so the result sounds tight rather than robotic.

Why filler words hurt retention, and when they don't

Filler words are normal in speech. In conversation, nobody notices them. On video, three things change:

• Viewers can leave at any moment, and fillers at the start of a video sound like hesitation.
• Captions make fillers visible. "Um, so, like, basically" looks much worse written than it sounds.
• Fillers slow the pace, which matters most in short-form video.

But fillers also signal that a real person is thinking. In interviews, podcasts and personal stories, removing every one can make speech feel scripted and cold. The goal is clarity, not perfection.

The types of filler worth knowing

Removing them by hand

1. Zoom into the waveform. Filled pauses usually appear as short, steady blobs between words.
2. Listen at normal speed and mark each filler.
3. Cut from the end of the previous word to the start of the next, leaving a few frames of breathing room.
4. Check the joins with headphones.

This gives you full control and is fine for short videos. For anything over a few minutes, it gets slow.

Removing them with transcript or AI tools

Tools that transcribe your audio can mark filler words in the text. You then delete them from the transcript, or approve a batch removal, and the video is cut to match. This is much faster than scanning a waveform and works on long recordings.

A sensible approach:

1. Let the tool remove filled pauses (um, uh) automatically.
2. Review discourse fillers (like, you know, actually) one by one or skip them, because many are meaningful.
3. Check that false starts kept the complete version of the sentence.
4. Listen to the result at normal speed.

Some auto-editors combine filler and silence removal as part of the trim. Silence removal alone will not catch fillers, since they are sounds rather than silence; see how to remove silences from video and what auto trim is.

Avoiding the robot effect

Over-edited speech is a real risk. Signs you went too far:

• Sentences crash into each other with no breath between them.
• The speaker's head jumps on almost every phrase.
• Intonation sounds odd, because a cut joined two parts of a sentence that were spoken with different energy.

Fixes:

• Keep padding. Leave a small gap around each cut instead of butting words together.
• Keep some fillers in relaxed, conversational sections.
• Cover dense cuts with B-roll or a graphic so the visual jumps disappear.
• Re-record a line if it needs many cuts. One clean take beats six stitched pieces.

How strict to be, by content type

• Short-form tips and ads: strict. Remove nearly every filler; every half-second counts.
• Tutorials and explainers: moderately strict. Remove fillers that interrupt instructions, keep the flow natural elsewhere.
• Interviews and podcasts: light touch. Remove repeated words and long "ummm" sounds; leave conversational texture.
• Personal stories: lightest. Hesitation can be part of the emotion. Remove only what distracts.

A useful test is to read the captions alone. If a sentence reads cleanly, the audio probably sounds fine too. If it reads like "so um basically like the thing is," trim further.

Speaking habits that reduce fillers

The fastest filler removal is not saying them. A few habits help a lot:

• Know your first sentence. Most fillers cluster at the start of a video or section, while you find your footing.
• Use bullet notes, not a full script. Reading word for word sounds stiff; bullets give you a path without memorizing.
• Pause instead of filling. When you lose the thread, stop silently. Silence is trivial to trim; "ummm" requires precise editing.
• Slow down a little. Fillers often come from speaking faster than you can think.
• Record short sections. Thirty seconds per take is easier to deliver cleanly than five minutes.
• Review your own videos. Most people have one or two signature fillers. Once you notice yours, you start catching it while speaking.

More recording advice is in how to record talking head videos that edit easily.

A quick routine for every video

1. Trim silence and dead air first.
2. Remove filled pauses automatically or with a transcript tool.
3. Review the first 15 seconds by ear and remove every filler there.
4. In the rest of the video, remove only fillers that slow the point down.
5. Check captions; any remaining "um" in the captions can usually be deleted from the text even if you keep the audio.
6. Listen once more with headphones, start to finish, for any join that sounds unnatural.

If you would rather not do this at all, ShotFlick's Auto Trim cleans the pauses and dead air from your raw talking-head clip as the first step of an automatic edit, and the captions and visuals are built on the trimmed result.