Turn one product photo into an interactive 3D model shoppers can rotate and view in AR, without a 3D scanning studio or a photographer on retainer.
Interactive 3D listings measurably lift conversion, but the usual path to one is a photogrammetry rig, a turntable, dozens of source photos, and either specialized software or an outside vendor charging per SKU. That cost model works for a flagship product line, not for a catalog of hundreds of items where most SKUs will never justify a dedicated 3D shoot.
Hyper3D reconstructs a textured 3D model from a single existing product photo, no turntable and no studio booking, so a merchant can add an interactive view to a listing in about 60 seconds per SKU. It will not match a full photogrammetry scan's fidelity, but for letting shoppers rotate a product and preview it in AR, one photo is enough to start.
Export USDZ and GLB together to satisfy Shopify's AR Quick Look and Scene Viewer requirements for the same product media slot.
Drop the GLB into a model-viewer web component and shoppers get drag-to-rotate and AR-launch on any modern browser with zero plugin install.
Attach the GLB as product media through a model-viewer plugin so the interactive view sits in the same gallery as your existing photos.
Load the GLB through three.js's GLTFLoader for a fully custom in-page viewer when the storefront needs more control than a stock embed offers.
Choose the catalog photo with the clearest full-object view; even lighting and a plain background give the model the most to work with.
Upload it to Hyper3D and export both GLB and USDZ, covering web viewers and iOS AR Quick Look from the same source image.
Rotate the model on-screen before publishing and check texture placement matches the real product, especially on labels and logos.
Add the GLB through model-viewer or your platform's native 3D media slot, alongside your existing photos rather than replacing them.
Single-image reconstruction works best on products with a simple, mostly convex form and a texture that reads clearly in the source photo: bottles, boxes, footwear, home goods, toys. Anything with fine printed text, reflective or transparent surfaces, or a shape that depends heavily on a hidden back face is a harder case, since the model infers what it cannot see. For a catalog-wide rollout, treat this as a fast first pass: generate a model for every SKU that clears a minimum sales threshold, spot-check the texture against the real product, and reserve a proper photogrammetry scan for the handful of flagship items where fidelity matters most.
Two export formats cover almost every storefront need: GLB for web-based viewers like model-viewer and three.js, and USDZ specifically for Apple's AR Quick Look on iOS Safari, which will not read GLB directly. Keep both on the product page rather than picking one, since shoppers arrive on a mix of devices and platforms. File size is worth checking before publishing at scale, since a texture-heavy GLB can slow a product page's load time enough to hurt the exact conversion metric the 3D view was meant to improve.
Tout ce que l'on demande avant de transformer une photo en modèle 3D.
3 free generations per hour with no account or sign-up, enough to test the workflow across a small batch of SKUs before deciding whether to roll it out further.
Yes, models generated from your own product photos are yours to use commercially, including on live storefront listings and in paid advertising.
No, one source photo produces both the GLB used by web viewers like model-viewer and the USDZ format Apple's AR Quick Look requires.
Texture is derived directly from your source photo, so colors and visible labels usually match well; anything on a hidden face is inferred, not scanned.
A photogrammetry scan from dozens of angles will out-resolve this on fine detail, but a single photo is far faster and cheaper for a catalog-wide first pass.
D'autres façons de transformer une image en modèle 3D avec Hyper3D.
Gratuit, sans compte, et un GLB téléchargeable en moins d'une minute.