Monday.com just published a roundup of 15 AI video editing tools, and it got me thinking about something that's been bugging me for a while.
Every tool claims to "save hours." Every platform promises to "revolutionize your workflow." But when you actually sit down and use these things, the reality is... mixed.
So let's talk about what AI editing features actually deliver on their promises, and which ones are mostly marketing.
The Features That Actually Save Real Time
Auto-Captions and Subtitles
This one's legit. If you're still manually transcribing and timing captions, you're leaving hours on the table.
A 10-minute video used to take me about 45 minutes to caption by hand. Now? Most AI tools get it done in under 2 minutes with 85-95% accuracy. You still need to proof it — especially for technical terms or names — but you're editing captions instead of creating them from scratch.
The math: If you're posting 3 videos a week, that's roughly 6 hours saved per month on captions alone.
Silence and Filler Word Removal
This is where things get interesting for talking-head content.
The average person says "um" or "uh" about 5 times per minute when speaking naturally. In a 15-minute video, that's 75 filler words. Cutting each one manually takes about 3-5 seconds (find it, mark it, delete it, close the gap). That's 4-6 minutes of tedious work per video.
But the real time sink is silence trimming. Dead air, pauses while you check notes, that moment where you forgot what you were saying — manually cutting these can double your edit time.
AI tools that auto-detect and remove these? Genuine time savers.
Jump Cut Detection
If your style involves lots of cuts (think: YouTube essays, commentary videos), AI that can identify natural cut points based on pauses or sentence endings is surprisingly useful. It won't replace your creative decisions, but it gives you a starting point that's way faster than scrubbing through raw footage.
The Features That Sound Better Than They Are
"AI Rough Cuts"
Some tools claim they can create a rough cut of your video automatically. In theory, the AI watches your footage and assembles the best takes.
In practice? It's hit or miss. The AI doesn't know that the take where you stumbled actually had better energy. It can't tell that your B-roll of the coffee shop should come after the story about meeting your co-founder, not before.
For very structured content (like interviews with clear questions and answers), this can work. For anything creative or narrative-driven, you'll spend as much time fixing the AI's choices as you would have making them yourself.
Auto Color Grading
Most "one-click color grading" features apply generic LUTs or make basic exposure adjustments. That's fine for quick social clips, but if you care about your look, you're still doing this manually.
The exception: tools that can match color between clips. If you're shooting in mixed lighting or combining footage from different cameras, this actually helps.
"AI B-Roll Suggestions"
Some platforms now offer to find stock footage that matches your script or voiceover. Cool concept. But the suggestions are usually generic (you mention "growth" and it shows you a plant sprouting, every single time).
If you're using stock footage, you probably already know what you want. The search is the easy part.
What to Actually Look For
When you're evaluating AI editing tools, ask these questions:
What's the accuracy rate? A tool that's 80% accurate at detecting filler words means you're still manually checking 20% of your video. That might not save as much time as you think.
Does it process in real-time or do you wait? Some AI features require uploading to a server, processing, and downloading. If you're waiting 20 minutes for a 10-minute video to process, factor that into your "time saved" calculation.
Does it integrate with your existing workflow? The best AI feature in the world doesn't help if it means exporting, processing in another app, and re-importing. Look for tools that work inside your editor or process files you can drop straight into your timeline.
What's the actual output? Does the tool give you a final file, or does it give you edit points you can adjust? The latter is usually more useful — you want AI to assist your decisions, not make them for you.
The Bottom Line
AI video editing is genuinely useful in 2025, but not in the way most marketing copy suggests. The big wins are in the boring, repetitive tasks: captions, silence removal, filler words, basic cleanup.
The creative decisions? Still yours. And honestly, that's probably how it should be.
Focus on tools that handle the tedious stuff so you can spend more time on the parts that actually make your videos good.
deum removes filler words, ums, and silences from your videos automatically — 97% accuracy, processes in real-time. Try it free at deum.video