Will an AI product video actually look like my product?

This is the first objection every seller has, and it is the right one to have. Most image models are happy to invent a plausible product; that is useless for commerce, because the thing in the ad has to be the thing in the box. Nitaris starts from your photo and treats it as the fixed reference for the whole shoot — the film is a new lighting setup, a new set and a new camera move over your actual product, not a fresh interpretation of it.

Which details are actually held?

In practice that means the details you would notice first are the details that are held: the proportions and silhouette, the finish of the metal or the glass, the colour of a stone, and any text or logo on the label. Nitaris's own comparison on the landing page is a silver cubic-zirconia tennis bracelet — one flat seller photo in, and a styled vanity shot out with the same links, the same stones and the same fold-over clasp.

What if a take comes out wrong?

It is a generative process, so a take can still come out wrong, and sometimes the product itself drifts: a letter in the wordmark, a cap or a clasp redrawn, a matte finish turned glossy. Those are the details to check first. A take that misses on camera or mood is what the one-click regenerate is for. A paid render where the product no longer matches your photo is different: report it from the render within 30 days, and an automatic check compares it with your reference and returns that render's credits if the product drifted. The free preview comes first either way, so you see your own product filmed before you commit to the clean master.