An AI video clip can look perfect on the first watch and fall apart on the third. A label shimmers, a finger appears and vanishes, the edge of the product breathes. Clients notice these things, usually after the clip is already in the edit.
If you need to fix AI video artifacts before delivery, the first job is sorting them. Some can be repaired in post. Some mean the clip should be generated again. This guide gives you a simple way to decide, and a review routine that catches problems early.
What kinds of artifacts do AI video clips have?
A glossary entry from the AI company Morphic, which is a vendor and not a neutral test, separates the problems into groups. Two matter most for video:
- Temporal artifacts. These happen across frames: flickering, frames that disagree with each other, and ghosting.
- Generation artifacts. These are errors the model makes inside the picture: malformed hands, merged faces, and invented text.
The same entry says edges, hands and on-screen text are the places most likely to contain errors. In our experience that matches what we have seen over about a year of working with AI imagery and video. If you only have time to check three things, check those.
How do you review a clip so you actually catch the problems?
Do not judge a clip at full speed. Morphic suggests playing footage at half speed, and we do the same. Then we work in passes:
- Edges of the product. Step through frame by frame where the product meets the background. Edges are where shape drift and shimmer show first.
- Hands and fingers. Count them at the start, middle and end of each move.
- Any text or logo. Compare every frame with the approved artwork, letter by letter.
- Light and color. Look for brightness that pulses from frame to frame.
- The loop or cut point. Check the first and last second, because that is where the edit will land.
Write down the timecode of each problem. A note like "hand, 00:03:12" is far more useful than "hands look odd".
Which fixes belong in post, and which mean regenerating?
The Morphic entry lists inpainting, upscaling, denoising and manual compositing as ways to reduce many artifacts, and says severe anatomical or temporal errors may require regenerating the clip. Our rule of thumb builds on that:
Fix in post when the problem is small, local and stays in one place.
- A speck or smear near the edge of the frame: paint it out or patch it with a clean frame.
- Mild flicker in a flat area: denoise or blend frames.
- A short glitch of a few frames: cut around it, or hold a clean frame.
Regenerate when the problem is large or moves with the subject.
- A hand that changes shape throughout a gesture.
- A product that slowly changes proportion across the clip.
- Flicker across the whole picture.
- A face that drifts into a different person.
If a fix would take longer than a new generation, generate again.
What about text, labels and logos?
Do not trust an AI video model with real words. Text that holds still for one second may morph on the next. The reliable method is to treat the label as a graphic, not as part of the generated picture.
We mask out the problem area and add the real label back as a tracked overlay, matched to the product's movement, light and perspective. The viewer reads exact words, and the legal and brand teams can approve one file.
How do you fix AI video artifacts like flicker without smearing the clip?
Flicker is the artifact clients feel before they can name it. The picture looks restless, as if it were breathing, even when nothing is wrong in any single frame.
Start with the least aggressive tool. Light temporal denoising, which blends each frame a little with its neighbors, often calms flat areas such as backdrops and tabletops. Push it too far and fine detail smears, textures go soft and fast motion leaves trails. So we apply it through a mask, only where the flicker is, and leave the product itself alone.
If the product edge is the problem, a cleaner approach is to rebuild it. We take one good frame, cut the product out, and track it back over the unstable frames. The viewer sees a steady edge, and the model's wobble sits behind it, where it is much harder to notice.
When flicker covers the whole frame and masks do not help, stop spending time on it. That clip is a candidate for regeneration, ideally with a shorter move or a calmer prompt, because large, fast motion tends to produce more instability than slow, simple motion.
What should be on a delivery checklist?
Before a clip leaves the studio, we confirm:
- Reviewed at half speed, start to finish.
- Edges, hands and text checked frame by frame.
- Every label and logo replaced with approved artwork.
- Flicker and noise checked in dark and flat areas.
- Clip exported at the size and format the client asked for.
- A note of what was fixed, so the next round does not start from zero.
If you plan to order many clips at once, brief the artifacts you cannot accept before the batch starts. Our guide to briefing AI UGC-style video ads covers what to put in that brief.
Practical takeaway
Sort every problem into one of two piles: small and local, fix in post; large or moving, regenerate. Replace all text with real artwork. Review at half speed with a timecode list. That turns a clip that almost works into one you can deliver.
If you want a hand with the finishing pass on AI video, take a look at our work at 35milimetre.com.