Is there an AI tool that rates my video?
Short answer: yes, and it is finally good. AI can now score the craft of your video on a 0 to 100 scale, with the evidence behind the number. Here is how it works, and what it cannot do.
By Thomas, founder of CutScore · Updated June 2026
People ask this because the alternatives are all flawed. You can post and read the comments, but feedback that arrives after publishing is feedback you cannot act on. You can ask a friend, who will say "looks great" because they like you. You can hire an editor to review it, which is excellent and also slow and not free. None of those gives you a clean answer before you hit publish.
So the real question hiding inside "is there an AI tool that rates my video" is usually this: can something honest look at my cut, before anyone else does, and tell me if it is actually good. For years the answer was no. Tools could grade a thumbnail or suggest tags, but nobody was rating the craft, the picture, the sound, the editing, the on-screen text. That gap is what changed.
I will admit the embarrassing part. I have shipped videos I thought were fine and were not. Quiet audio I had stopped hearing. A forty-second intro before the actual point. The reason an AI rating is useful is the same reason I needed one: you cannot judge your own video, because you have watched it too many times to see it.
What does an AI tool actually rate in your video?
A rating is only as good as what it measures. Here is what an AI video rating reads off your file, what target it checks against, and why it matters to a viewer.
| What it rates | Target it checks | Why the score moves |
|---|---|---|
| Loudness | ≈ −14 LUFS | Too quiet and your video feels weak the second it follows a louder one. |
| True peak | ≤ −1 dBTP | Hot peaks crackle once the platform re-encodes the file. |
| Voice vs music | voice on top | Music burying the speech is the most common amateur tell there is. |
| Exposure + white balance | neutral, not clipped | Dark or colour-cast footage reads as unfinished before a word is spoken. |
| Focus + stability | sharp, no jelly | Soft or wobbly shots read as a mistake, not a style. |
| Pacing · shot length | fits the genre | Too slow and the scroll wins; too frantic and the viewer tires. |
| First 3 seconds | one reason to stay | Most of your drop-off happens at the very start, before the value lands. |
| Captions + safe zones | readable, in-frame | Roughly half your audience watches on mute, so the text is the video. |
| Export settings | matches platform | A clean edit can still upload soft if resolution or bitrate is wrong. |
Stop wondering if a cut is good enough. Hand it to CutScore, get a 0 to 100 rating with the evidence and the fixes, before anyone else sees it.
How does an AI tool decide on a number?
It measures the objective parts, it does not guess them
This is the bit that separates a real rating from a chatbot's opinion. Loudness, peaks, resolution, frame rate, average shot length: these are not matters of taste. They are numbers read directly off the file with the same meters a professional uses. A good tool computes your LUFS and true peak deterministically, every time, so the same video always gets the same reading. No vibes. Just measurement.
It uses AI only where judgement is genuinely needed
Some things are subjective: does the hook actually land, is the pacing right for this kind of video, does the framing feel deliberate. That is where the AI part earns its keep, by pattern-matching your cut against thousands of others in the same genre. The trick is keeping the two apart. You meter what can be metered, and you reserve the model for the parts that are real judgement calls. Mix them up and the number stops meaning anything.
It weights the number by what viewers actually notice
A single 0 to 100 score is a summary, and a good summary is weighted. Buried voice and a dead opening hurt more than a shot being one degree off level, because that is the order in which a viewer notices problems. So the rating leans on the things that make people leave: the first three seconds, the audio, the pace of the cut. Get those right and the number climbs fast, because you fixed what the audience was reacting to.
It shows its work, or the rating is useless
A bare "76 out of 100" is trivia. The rating only helps if it comes with the receipt: the timestamp where the music drowns the voice, the second where the exposure drops, the spot where a jump cut would kill the dead air. That is the whole point of what we analyze, evidence you can act on, not a grade you have to trust on faith. If a tool gives you a number and no reasons, ignore the number.
Here is a full CutScore rating for an everyday video: the 0 to 100 number, every check behind it, with timestamps and the exact fixes.
Which "AI video tool" do you actually need?
Plenty of tools say AI and video in the same breath, but they do different jobs. Make sure the one you pick rates craft, not popularity.
By eye, by meter, or by AI.
Rate it yourself
Free, and worth doing. The catch is the one I admitted to above: your senses adapt and your gear flatters. Works best on someone else's video, or yours after a day away. You will catch the obvious misses and quietly forgive your own habits.
Rate it with scopes and meters
Accurate and honest. A loudness meter, a waveform, a scope for exposure. The cost is time and know-how: you have to know every target and read three tools correctly for every video. Great if you enjoy this part. Most people would rather edit.
Rate it with an AI coach
Hand the file (or a link) to CutScore. It measures the craft against the right standard for your genre and returns a 0 to 100 rating with timestamped evidence and the fixes. No scopes to read, no targets to memorise. See a sample report.
Frequently asked.
Find out if your video is actually good.
CutScore rates the craft of your video on a 0 to 100 scale and tells you exactly what to fix, with the evidence to back it up. Join the waitlist for early access.
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