AI Product Video Maker.
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Show. Macro movement, rotating objects, light travelling across a surface, a material behaving. These are short clips of five to ten seconds with no narrative, and they are the format generation handles best — a slow camera push across an object is precisely the kind of shot a text prompt can describe.

Explain. A screen recording, a hand operating a control, a before-and-after. Explanations depend on accuracy: the interface has to be the real interface, the sequence has to be the real sequence. Use real capture for these and treat generation as the wrapper — the opening title card, the background, the transitions between steps.

Place. The product on a kitchen counter, in a workshop, on a desk in a busy office. Location shooting is expensive and slow; generating the setting around a real product shot is where the cost saving is largest and the risk of mismatch is lowest, because the product itself is still real footage.

Getting this classification right at the start is the difference between spending a morning producing usable clips and spending it producing a set that cannot be assembled into anything.

A prompt that describes an outcome produces a clip that does not do the job. "A professional video showing the product in use" gives the model nothing to work with — professional and in use are not camera instructions.

Describe the shot instead, using the eight-part anatomy: subject, action, setting, framing, lighting, motion, duration, exclusions. For a macro detail shot, that might be: a matte ceramic mug on a concrete surface, steam rising slowly from it, shallow depth of field, camera pushing in at a slow constant speed, hard side light from the left, five seconds, no text, no hands.

Two parts are consistently under-used. Motion — separating what the camera does from what the subject does gives you control over the whole feel of the clip, and "slow constant push" versus "static camera, subject rotates" are entirely different results. And exclusions — worth stating explicitly, because a model that adds a caption or a logo will do it identically in every frame.

The models differ in ways that map onto product video specifically. Seedance 2.0 is the fastest and cheapest, generating around five seconds with native audio sync — the right default for the many macro and atmosphere takes a product edit needs. Veo 3 produces roughly ten seconds at the highest quality, which suits a single hero shot.

Runway is the one most worth knowing about here, because it works with footage you already have. If you have product photography or a turntable capture, Runway can extend, restyle, or blend generated material into it — which is exactly the generated-atmosphere-around-real-product pattern this format rewards. Kling handles motion and character realism best, useful when a hand or a person is in frame. Pika leans stylised and social-native for the vertical cut, and Sora 2 maintains continuity where a sequence needs to hold together across shots.

The practical combination for a product page is Runway or Seedance for the atmosphere, Veo 3 for one hero shot at full quality, and real footage through the middle doing the explaining.

Product video is unusually placement-driven, and getting the ratios wrong is the most common reason a good clip underperforms. A product page embed wants 16:9 or 1:1, muted by default, and it has to read without sound because most people will never unmute it.

A paid social placement wants 4:5 or 9:16 with a hook in the first second, sound optional but captions burned in. A marketplace or retail listing usually wants 1:1, short, and focused on one attribute per clip. An email embed wants a 16:9 thumbnail that links out rather than an autoplaying video.

The practical consequence is that one concept usually becomes three or four exports. Build them from the same shot list rather than cropping a master — the crop is what makes a vertical version look like an afterthought.