What kinds of products does this work for?
Best on physical products with a clear shape and surface — jewellery, watches, packaged food and drink, cosmetics, accessories and homeware. Anything whose appeal is how it catches light gains the most. It works least well on products that are mostly text, like books, or on soft goods that need a body to read properly.
Last updated . Last reviewed end to end . This answer is checked by hand, not regenerated on deploy.
The useful predictor is not the category, it is whether the product has a surface that does something under moving light. Metal, glass, stones, gloss packaging, glaze and foil all change as the light travels across them, and that change is exactly what a still photo cannot show and a moving camera can. A gold clasp, a faceted stone, the condensation on a bottle and a foil-stamped label all gain far more from ten seconds of movement than they do from a sharper photograph.
Which categories gain most
Nitaris publishes worked examples for the three categories where that effect is strongest — jewellery, watches, and food and drink — but the mechanism is not category-specific, and cosmetics, fragrance, accessories, homeware and most packaged goods behave the same way. If your product is hard, has a defined silhouette and reflects or refracts anything, it is in scope.
Where it works least well
The weaker cases are worth naming honestly. A product whose value is printed information — a book cover, a boxed board game, anything a buyer reads rather than looks at — gains little from a camera move, because the thing being sold is legible in one flat frame already. Soft goods like clothing are a partial case: the material reads well, but garments are judged on how they hang and fit, which is a body's job rather than a lighting setup's.
- Will an AI product video actually look like my product?
- What kind of photo do I need to upload?
- Do I get marketing photos as well as a video?
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