How to QC AI-Generated Footage Before Delivery

QC is the pass that turns a generated clip into a deliverable. A shot that looks stunning in isolation can still be full of morphing hands, flickering textures, or a logo no one cleared — problems that only surface when someone scrubs it frame by frame. A disciplined quality-control review before delivery is exactly what separates professional work from a demo. Here is the pass I run.

I built and ran production SOPs for enterprise and retail clients, and QC is where those standards live or die. The checklist below is the one I hold every generated frame against.

What is a QC pass and why it matters

A QC pass is a structured review between "the footage is done" and "the footage ships." It exists because generative tools fail in ways traditional footage never did — beautiful on a still, broken in motion. The client is accountable for what goes out the door, not the model, so nothing reaches delivery until it has cleared every check below.

Check consistency against the look bible

Start with the reference. Every shot measures itself against the look bible — palette, lensing, motion feel, character and product design. Ask:

• Do characters and products match their locked references shot to shot?
• Is the color and lighting language consistent across the cut?
• Does each shot feel like it belongs in the same film, not a gallery of good-looking strangers?

Consistency is the failure I catch most. It is also the one an audience notices instantly, even when they can't name it.

How to check for artifacts and morphing

Scrub slowly and watch the high-frequency areas — the places models break first:

• Hands and fingers — extra digits, fusing, morphing between frames.
• Faces and eyes — identity drift, asymmetry, dead or wandering gaze.
• Text and logos — warping, gibberish characters, unstable edges.
• Fine textures and edges — shimmering, boiling, or objects that pop in and out.

A still frame lies. Judge these in motion, and go frame by frame on anything that catches your eye.

Check temporal stability

Temporal stability is whether the image holds across frames instead of quietly redrawing itself. Watch full playback at speed, then again in slow motion. Look for flicker, shimmer, textures that crawl, and details that flutter between versions of themselves. A shot can pass every still-frame check and still fall apart the moment it moves — this is where you catch it.

Run a brand-safety pass

Generated footage drifts. It can invent logos, likenesses, text, or imagery no one asked for and no one can clear. Review every frame for content that violates brand guidelines, clearances, or plain good taste. On brand and enterprise work this is non-negotiable — the client signs off on what ships, so nothing unapproved can hide in a background.

Confirm color and sound conform

Finally, treat it like any professional delivery. Grade against the look bible so color reads as intentional. Confirm the sound design and mix are conformed and in sync. Check that the export meets the delivery spec — resolution, frame rate, codec, aspect. Consistent color and sound are what make generated footage feel deliberate instead of accidental.

The QC checklist at a glance

The pattern behind the pass

None of this is new. It is the same delivery discipline every professional production runs, pointed at footage that fails in new ways. QC is the last place editorial judgment protects the work — the same judgment I apply across the whole AI-native pipeline. Skip it and you ship a demo. Run it and you ship a deliverable.

If you need a production held to this standard, I help studios and brands build the SOPs and QC that make AI footage shippable. For examples of the output, see selected AI Artist work.