A bag never has a size problem — the whole purchase is "how does it look on me, carried the way I'd carry it." Ello renders the bag on the shopper's own photo from the product shot you already have: backpacks from the front and the back, handbags crossbody and handheld.
Yes. Ello renders the bag carried on the shopper's own uploaded photo, using your existing flat product image — no camera, no 3D model. A bag with a strap and handles renders two carry views from one generation, crossbody (or shoulder) and handheld, with a toggle on the result.
Yes. A backpack try-on produces both views from a single render: the front view with the straps worn over the shopper's own outfit, and the back view showing the pack's outer face. The shopper flips between them with a Front | Back toggle. Backpacks are detected from the product title, so there is nothing to set up.
Yes. When a bag has both a strap and handles, one generation renders it worn crossbody (or on the shoulder, if the strap is shorter) and held by the handles, and the shopper switches between the two on the result. Ello reads the carry options from the product photos and the listing text — a listed strap drop counts even when the photos show the bag without its strap.
When your listing states the dimensions — width, height, depth, handle drop, strap drop, in inches or centimeters — Ello draws the handbag at that scale on the shopper's body and places it where the strap drop puts it. Without stated measurements, the render works from the product photo alone.
No. Both views — front and back for a backpack, crossbody and handheld for a handbag — come from one generation, so it counts as one try-on and one credit.
Fewer than you'd think: most apparel-only AI try-on apps skip bags, and beauty/AR tools don't cover them. Ello includes bags alongside clothing, hats, and glasses — with backpack front and back views and handbag carry views.
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