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Should you remove filler words from video? Not all of them

9 min read · September 1, 2026

You do not need to remove every "um" from a video. You probably do need to remove some of them, and the difference between those two statements is most of the craft.

Cutting the fillers that crowd a sentence makes a message shorter, clearer and easier to follow. Cutting all of them makes speech unnaturally dense, produces a jump cut on every sentence, and quietly removes the parts of a delivery that made it sound like a person rather than a voice-over.

The question worth asking is not whether a filler can be removed. It is whether removing it improves the video.

Filler words are not one category

Grouping them together is the source of most bad automated edits.

Filled pauses are the classic ones: um, uh, er. They appear while a speaker is planning what comes next. They rarely carry meaning, and they are usually the safest to cut.

Discourse markers are a different animal: so, well, I mean, actually, right. These do work. They introduce a conclusion, soften a disagreement, connect two ideas, signal how the next statement relates to the last one. A transcript flags them alongside the ums because they look like small words. They are not.

Take this pair:

"We had plenty of footage. So the problem was not recording."

"We had plenty of footage. The problem was not recording."

Both are fine. The first presents the second sentence as a conclusion drawn from the first. The second just states two facts. That is a real difference in argument, produced by a two-letter word a bulk-delete pass would treat as noise.

When a filler should go

It interrupts the hook. The opening of a short-form video has no room for a warm-up. "Um, so today I want to talk about why editing takes so long" against "Video editing takes so long because every cut is a decision." Fillers are most visible at the start, because the viewer has not yet been given a reason to keep watching.

It belongs to a failed take. "The reason creators struggle is, um, no, let me try that again." That filler is inside a section that is not going into the video. Remove the whole abandoned attempt, not the word.

It makes a factual statement sound uncertain. "ReadyForm, um, creates a first cut from your footage." Hesitation in front of a price, a specification, a statistic or an instruction reads as not knowing your own material. It matters most in product demos, training content, expert explanations and anything with a number in it.

The same one keeps arriving. One "you know" is invisible. Twelve in two minutes becomes the thing viewers remember about the delivery. The problem is repetition rather than the word, so the fix is reduction rather than elimination. Get it below the level where it draws attention and stop.

It adds time and nothing else. "The first cut is, basically, the first coherent version of the video." Remove "basically" and the sentence means exactly the same thing in less time. Easy call.

It undercuts the conclusion. "So, I guess, the answer is that AI should support the creator." If the video's central claim is stated with an audible shrug, the claim gets weaker. Keep the hedge only when the uncertainty is the point.

When it should stay

Removing it sounds worse than keeping it. Fillers are often welded to the words around them. Cut one and you can get a clipped consonant, a missing breath, two words colliding, a jump in room tone or a visible jolt in the picture. Descript's filler tool has an option that analyses the surrounding audio and skips removals likely to produce a harsh cut, which is an admission worth internalising: a small verbal imperfection is usually better than a large editing imperfection.

It preserves the way you actually talk. A founder speaking to their own audience should not sound like an advertisement being read. "You know, we assumed recording more would solve the problem" reads as someone reflecting honestly. Strip the opening and you get a cleaner sentence and a slightly more corporate one. Which is correct depends on the brand, the topic and the format, and neither answer is wrong in general.

It marks a thought worth waiting for. A brief hesitation before a nuanced answer can make the answer feel considered rather than recited. This is not an argument for adding hesitation deliberately. It is an argument against the assumption that fluent equals good and hesitant equals bad.

It connects two ideas. Covered above, and worth repeating because it is where automatic removal does the most damage. Check what the word is doing before you decide it is doing nothing.

It softens something on purpose. "Well, that works when the source footage is clean" is a gentler qualification than the same sentence without it. In interviews and customer conversations, that softening maintains the relationship between the speakers.

The imperfection is why it is believable. Personal stories, testimonials, founder reflections, unscripted expert answers. A perfectly cleaned sentence can be polished and slightly hollow. A small hesitation can be the reason it lands.

Repeated words are a third category

Not every disfluency is a filler word.

"The, the main problem is editing." That is a fluency slip, and it removes cleanly.

"What creators need, what creators actually need, is a faster first cut." That is a restart, and it usually removes cleanly too.

"This is not just slow. It is really, really slow." That is deliberate, and removing it takes the emphasis with it.

Sort repetitions by function, not by pattern. Accidental restart, remove. Loss of fluency, usually remove. Deliberate emphasis, keep. Emotional reaction, keep if it is genuine. Repeated information across two sentences, that is a structural cut rather than a word-level one.

What removing everything costs

The audio becomes impossibly dense. With enough small deletions, the speaker no longer appears to breathe or think between ideas. Every word arrives on top of the previous one. It sounds clean and physically impossible at the same time.

The picture jumps constantly. Removing a filler from talking-head footage changes the frame as well as the audio: mouth position, head angle, hands, posture, eyes. One or two of those a video is fine. One per sentence is a video where the viewer is watching the editing.

Everyone converges on the same voice. Some creators are fast and direct. Some use "so" to open every explanation. Some say "you know" while drawing the viewer into a shared conclusion. Those patterns are recognisable, and recognisable is the point of putting your face on camera.

The meaning shifts. Well, actually, I mean, so. Remove them and you can change contrast, emphasis, disagreement, certainty and tone without touching a single content word.

Four buckets, not one button

Remove. Fillers inside failed takes, in front of the hook, before an obvious restart, undermining a factual claim, repeating often enough to distract, or adding nothing and cutting cleanly.

Shorten or replace. The option most people skip. Remove the word but keep a short pause so the rhythm survives. Use room tone rather than collapsing the space. Cover the visual cut with a supporting visual that was going there anyway. Or take that sentence from a cleaner take.

Keep. Anything that sounds natural, connects ideas, preserves your voice, expresses real hesitation, or cannot be removed without audible damage.

Rerecord. When the sentence needs four repairs, when every available take sounds uncertain, when the wording was never clear, or when the edit would visibly damage the footage. One clean new take is often faster than reconstructing a damaged one, and editing is not always the right answer to a recording problem.

A decision table

SituationActionCheck first
"Um" in front of the hookRemoveDoes the sentence still open naturally?
Filler inside a failed takeRemove the whole takeIs the next attempt complete?
Occasional "um" in a personal storyKeepIs it doing something for the tone?
"You know" throughout the videoReduceIs it still noticeable at the new rate?
"So" introducing a conclusionKeepDoes removal change the relationship?
Filler welded to the next wordKeep or swap takesDoes the cut clip the audio?
Filler in front of a hard factRemoveIs the uncertainty intentional?
Deliberate repeated wordKeepDoes it strengthen the point?
Several fillers in one sentenceUse another takeCan this be repaired without damage?
Filler under a supporting visualStill reviewDoes the audio sound natural on its own?

What automation does, and where it misfires

The mechanics are straightforward. The system transcribes the recording, classifies words and sounds as fillers, links them back to the media, and offers them for individual or bulk removal. Premiere lets editors filter a transcript for fillers and delete them one by one or all at once. Descript lets you preview each detection and choose to delete it, keep it, remove only the text, or replace the audio with a gap.

That is genuine speed. It is not editorial judgement, and the gap between the two is where automated filler removal earns its reputation.

Bulk removal misfires in predictable places: when fillers sit close to other words, when the speaker moves a lot, when the delivery is emotional, when the transcript is wrong about a name or a term, and when the detector has classified a working word as a filler. "Like" introducing a comparison, "so" introducing a conclusion, "right" asking for agreement, "actually" correcting a misconception. All of those get flagged, and none of them should go automatically.

Check the result in audio and picture, not in the transcript. A clean text edit and a bad video edit look identical on the page.

Removing fillers without leaving a mark

Play several seconds either side. Not the word. The sentence. Does it still sound natural, is a breath missing, do two words collide, has the meaning moved?

Watch the speaker across the join. A face that changes between one word and the next is more distracting than the word you removed.

Leave a little time behind. Removing the word does not require removing all the space around it. A short natural gap keeps the rhythm intact. That is the same principle as the one in should you remove every pause from a video, applied at word level.

Compare another take before repairing this one. A cleaner delivery of the same line often already exists. Swapping it in is one decision instead of five.

Watch the whole video at the end. Individually acceptable removals add up to a video that feels rushed. That only becomes visible at full length.

Fewer of them in the first place

Know the point of each sentence rather than the wording. Where it starts, where it ends, which word carries the weight. Memorising the exact phrasing tends to produce more hesitation, not less, because a forgotten word stops the whole sentence.

Work from a short outline. Hook, problem, explanation, example, conclusion, close. Most fillers appear at the seams, while you look for the next idea.

Slow down slightly. Trying to speak faster than you can formulate is the main mechanical cause of filled pauses.

Get comfortable with silence. A silent pause is far easier to shorten in the edit than a filler glued to the surrounding audio. When you need a moment, take it without saying anything.

Restart complete sentences. Stop, pause, begin the whole thought again. Do not repair one word while continuing to talk.

Where ReadyForm fits

ReadyForm works on original short-form footage, which means it works on exactly the material this article describes: filled pauses, false starts, repeated phrases, corrections and takes recorded because the last one was not right. It cleans the repetitive part while assembling one complete rendered edit, so the sentence-by-sentence sweep through a transcript is not a session you have to book.

What it does not try to be is a filter that removes every human irregularity. The cuts stay visible and restorable, scenes show the take they came from, and if a hesitation was the best thing in the sentence, putting it back takes a click. See how the edit is made.

Frequently asked questions

What counts as a filler word?

Anything spoken while you organise the next part of the sentence: um, uh, er, like, you know, basically, actually, sort of, I mean. Some of them fill time and some of them carry meaning, which is why one rule cannot cover the list.

Do filler words really make a speaker sound less credible?

Frequency decides it. An occasional one reads as normal speech. A dozen in two minutes becomes the most memorable thing about the delivery, which is a problem in professional and instructional content.

Are um and so the same kind of word?

No. Um is a filled pause, produced while planning what comes next. So, well and I mean usually connect ideas or frame how the next sentence should be read. Cutting the second kind changes the argument.

How many removals in one sentence is too many?

Two or three is a repair. More than that is a signal that another take or a rerecord will produce a better result than reconstructing the original.

Should filler words be cut out of customer testimonials?

Be conservative. Removing the ones that genuinely distract helps, but a heavily cleaned testimonial starts to sound scripted, and a scripted testimonial is worth less than a slightly messy honest one.

Is a repeated word the same problem as an um?

Not always. An accidental restart is worth cutting. A deliberate repetition is emphasis, and removing it takes the emphasis with it.

Does removing filler words make a video noticeably shorter?

It depends how often they appear and whether the surrounding gaps go too. On a heavily hesitant recording it can save real time. On a fluent one it changes the polish, not the runtime.

Keep reading: Should you remove every pause from a video? · Remove filler words from video · Can AI edit talking-head videos?

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