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Turn a planter photo into a model shoppers can place at home

A real model made with 2dto3D. We have not published one for this category yet: yours would be the first.

A planter photo can’t tell a shopper whether it’ll actually fit their windowsill or floor corner, and that’s the question that decides the sale. A 3D model, placed in their own space at true size, answers it directly.

Upload a photo of the pot or planter. We generate a few angles automatically, then build a 3D model, usually about 5 minutes. Every model comes with an interactive viewer and AR built in, so a shopper can place it on their own shelf or floor before buying.

Where this fits on a planter product page

  • “View in your space” settles real size before checkout, the top hesitation for this category.
  • An interactive model shows glaze, weave, or material texture clearly.
  • Embed across channels, or upload the GLB directly where the platform already supports 3D. The same model works on your store and marketplace listings alike.

Frequently asked

Does this work for pots with plants already in them?

Yes. The pipeline works on the whole product as photographed, whether that's an empty pot or a planted arrangement.

Why does AR matter for planters specifically?

Size and proportion against a shelf, windowsill, or floor space is the main hesitation for planter buyers. AR lets them check it themselves before ordering.

Will glaze and texture come through on the model?

Yes. We generate 4 angles automatically before building the mesh, which preserves glaze, weave, or material texture from every side.

How long does one model take?

About 5 minutes, from a single photo to a finished, viewable model. We take that time because quality and realism come first.

Try it with your own product photo

Built for realism. Most models are ready in about 5 minutes, and your first one is $2, refundable in full if you do not like it.

Upload a product photo
JPEG or PNG, up to 4 images, 18 MB each. We'll generate the angles.

Not ready to upload? Watch it run on a sample model first.