How to Create an AI Video AR Experience

Choose AI Video when the real creative goal is to make the trigger image itself come alive. That makes it a natural fit for packaging, posters, art prints, menus, brochures, and campaign visuals where the static design is already meaningful and the animation should feel like an extension of it.

It is not the right route for generic motion graphics or video playback. If the video exists as a separate finished asset, the normal Video type is often the better path.

AI Video is only available inside the marker-based flow. That means you must begin with a scanned image and use that image as the source for the animation.

If you already have a normal video file, use the regular `Video` content type instead. Use AI Video when you want the printed image itself to come to life.

You cannot test the full scan on a phone until the experience is published, so use the Studio review screens first.

The source image matters more here than in most other content types. If the marker image is weak, cluttered, or visually unclear, the final AI result will be harder to justify. This route works best when the original design is already strong and the animation adds surprise without breaking the brand or the story.

Teams should also budget for the premium step. AI Video is a specialized path, not just a variant of standard video upload.

AI Video AR is strongest in campaign-driven, image-led experiences where surprise matters. Packaging, print, product launches, posters, menus, and gallery-style visuals can all benefit when the static image becomes the hook for motion.

It is less useful for projects that already have rich 3D assets or where the motion does not need to originate from the printed image itself.