Every course creator has the same experience: you watch back a recording that felt smooth in the moment and count forty "ums" in fifteen minutes. Filler words are invisible when you're speaking but distracting when your students are listening. Descript can find and remove them in seconds — one click highlights every "um," "uh," "like," "you know," and "sort of" in your transcript, and another click removes them all. The difference in how your lesson sounds is immediate.
What you’ll walk away with:
- Tighter, more confident-sounding lesson recordings
- A natural delivery that’s cleaned up without sounding robotic
- A feedback loop that improves your speaking over time
Why Descript for this
You could hunt for filler words manually — scrubbing through a timeline, listening for each "um," marking an edit point, cutting, checking the transition, moving on to the next one. For a 20-minute lesson with 50 filler words, that process takes an hour of tedious work. Descript collapses it to about two minutes.
The reason it works so well is the transcript-based editing model. Because Descript transcribes your entire recording and links every word to its position in the video, it can identify filler words as text patterns and remove the corresponding audio and video automatically. You don't need to find anything by ear. Elegant Themes included Descript in multiple roundups of AI video editing tools for course creators, and the filler word feature is consistently cited as the single most useful capability for people who teach on camera.
The before-and-after difference is dramatic. A recording that sounded hesitant and scattered suddenly sounds confident and prepared — even though you didn't change a word of your actual teaching. That's the leverage: better-sounding lessons without re-recording anything.
Step by step: Removing filler words
Import your video
Drag your video file into a Descript project — MP4, MOV, and WebM all work. If you recorded directly in Descript using its built-in screen and webcam recorder, your file is already there. Either way, you need the video inside a Descript project before anything else happens.
Let auto-transcription run
Descript starts transcribing the moment your file loads. For a 20-minute lesson, transcription typically finishes in under two minutes. The accuracy is strong — usually above 95% for clear English speech — but scan the transcript for any misheard words, especially technical terms from your field. The filler word detection depends on an accurate transcript, so it's worth fixing any obvious errors before proceeding.
Click Remove Filler Words in the transcript menu
Open the Edit menu and select "Remove Filler Words" (or use the shortcut if you've set one up). Descript scans the transcript and highlights every instance of "um," "uh," "like," "you know," "sort of," "I mean," and similar patterns. It shows you a count — a typical 15-minute unscripted recording might have 30 to 50.
Review what Descript found
Don't just accept the bulk removal blindly. Descript highlights each filler word in the transcript, so you can click through them one by one and listen to the surrounding context. Most will be genuine fillers — nervous "ums" between sentences, "likes" that add nothing. But occasionally Descript flags something that isn't really filler: a deliberate "so..." before a key point, or a "you know" that's actually part of a direct address to the student. Skim through the list and uncheck anything that feels intentional.
Selectively keep some fillers for naturalness
This is the step most people skip, and it matters. If you remove every single filler word from a 20-minute recording, the result sounds unnervingly smooth — like a teleprompter read or a text-to-speech engine. Your students signed up to learn from you, a human being who thinks and pauses and occasionally says "you know" while working through a complex idea. Keep a few of those moments. A good rule of thumb: remove the fillers that interrupt your flow, keep the ones that are part of it.
Export your cleaned-up video
Export as MP4 at 1080p. Most course platforms re-encode uploads, so you don't need to obsess over bitrate settings — a standard export produces files that look and sound good everywhere. If you're also using Studio Sound or eye contact correction, apply those before exporting so everything processes together.
The human layer
There's an important distinction between filler words that signal nervousness and filler words that signal thinking. When you say "um" four times in one sentence because you lost your train of thought, that's noise your students don't need. When you pause and say "you know..." while transitioning from one idea to the next, that's a human moment that helps students feel like they're learning from a real person who is genuinely working through the material with them.
I've listened to hundreds of course recordings over the years, and the creators who students connect with most are not the ones who sound flawless. They're the ones who sound clear and genuine. Removing all filler words optimizes for polish at the expense of warmth. The goal is a lesson that's easy to follow, not one that sounds like it was produced by a news anchor. Keep the humanity in your teaching. Use Descript to remove the distractions, not the personality.
Course creator tips
Process filler removal before any other edits
If you're also cutting sections, rearranging content, or tightening pauses, do the filler word removal first. Removing fillers changes the timing and flow of the transcript, and it's easier to make structural edits once the verbal clutter is already gone. Think of it as clearing the brush before you landscape.
Use filler counts as a feedback loop
Descript shows you exactly how many filler words were in each recording. Track that number across your first five or six lessons. Most course creators see it drop naturally — once you're aware of your patterns, you start catching yourself mid-sentence. It's one of the few cases where an AI tool actually improves the underlying skill, not just the output.
Batch-process all your lessons at once
If you've recorded a full course — say, twelve lessons — import them all into one Descript project and run filler word removal on each. The consistency matters: students notice if lesson three sounds polished and lesson seven sounds rough. A batch pass ensures the same level of cleanup across your entire course.
What it gets wrong
Descript sometimes removes meaningful pauses along with the filler word. If you said "um" during a two-second pause between ideas, removing the "um" also closes the gap. The result can feel rushed — one thought slamming into the next without breathing room. For key transitions, you may need to manually add a short pause back in after the removal.
It can also cut mid-word when a filler blends into the start of the next phrase. "Um-but" becomes "-but," which sounds clipped. These cases are rare, but they're noticeable when they happen. Listening to the result — even at 1.5x speed — catches these before your students do.
Finally, Descript doesn't distinguish between a thoughtful pause and a nervous one. A deliberate "so..." that gives students time to absorb a point looks identical to a nervous "so..." that means you forgot what comes next. You're the only one who knows the difference, which is why the review step matters more than the removal step.
Frequently asked questions
Does removing filler words change the timing of my video?
Yes. Descript closes the gaps where filler words were, so your video gets slightly shorter. A 15-minute recording with 40 filler words might lose 30 to 60 seconds. The transitions are usually seamless for talking-head video, but review the result to make sure no cuts feel abrupt — especially around slide transitions or visual demonstrations where timing matters.
Can I remove filler words on Descript's free plan?
Filler word detection is available on all plans, but bulk removal requires a paid plan. The free plan lets you transcribe and edit up to one hour of video per month, so you can try the workflow on a single lesson. The Hobbyist plan ($24/month) or Creator plan ($33/month) unlocks unlimited transcription and full filler word removal.
Should I remove all filler words from my course videos?
No. Removing every filler word makes you sound unnaturally polished — like a robot reading a teleprompter. Keep a few natural pauses and conversational fillers, especially in moments where you're thinking through an idea or transitioning between topics. The goal is clarity, not perfection. Students learn from real people, and a few human moments help them feel connected to you.
Clean audio, ready to teach
Your recording sounds tighter and more confident. Now it needs a course around it. With Ruzuku's course builder, you upload your cleaned-up video directly into a lesson — no separate hosting account, no embed codes. The video sits right alongside your written instructions, discussion prompts, and exercises, so students get a complete learning experience in one place.
Filler word removal is a small edit that makes a noticeable difference in how professional your lessons feel. Pair it with a course platform that is just as simple, and you can go from recording to enrollment in an afternoon.
Related guides
- How to Edit Course Videos Using Descript's AI Features — the full Descript editing workflow, including Studio Sound and eye contact correction
- How to Record Course Videos with Descript — use Descript's built-in recorder for screencasts and webcam lessons
- How to Repurpose Course Videos Into Social Clips Using Opus Clip — turn your cleaned-up lessons into short marketing clips
- How to Create Your First Online Course — complete guide from planning through launch
- Ruzuku Course Builder — upload polished videos into lessons with built-in hosting