Studio · 2D → 3D STL

AI 2D Image to 3D Production-Ready STL for Jewellery

Upload a sketch, render or photo. Get a production-ready 3D STL you can send straight to the CAD bench, the retopology artist, or a wax printer.

Producing a 3D mesh from a 2D image is where most jewellery-design workflows still bottleneck. The traditional path: a CAD operator in Rhino or MatrixGold spends 6-14 hours modelling the piece from the reference render, and charges ₹5,000-₹15,000 per mesh. If the client asks for a variation, you pay for the whole mesh again.

Facetra 2D-to-3D collapses that to 3-5 minutes and ~₹300-₹420 per mesh. The output is a manifold, wall-thickness-aware STL (or GLB / OBJ / FBX / USDZ / 3MF) that a CAD bench retopologises for casting, a 3D printer builds directly, or a client rotates in a WebGL viewer to approve before manufacture.

What is AI image-to-STL for jewellery?

AI 2D-to-3D for jewellery is a mesh-generation workflow that reads a 2D image of a piece and produces a full 3D mesh with correct volume, wall thickness suitable for lost-wax casting (0.6-0.8 mm minimum) or DMLS printing (1-2 mm), and manifold geometry (no floating faces, no non-orientable surfaces, no open edges). Unlike photogrammetry (which needs 30-100 photos from many angles) or NeRF (which is a point cloud, not a mesh), Facetra works from a single image and outputs immediately-usable production geometry.

What Facetra 2D-to-3D delivers

  • Formats: STL, GLB, OBJ, FBX, USDZ, 3MF — every retopology, print or web-viewer format an atelier needs
  • Manifold, wall-thickness-aware output — safe for lost-wax casting or DMLS 3D printing
  • Two quality tiers — Standard (15 credits, ~₹180) and HD (25 credits, ~₹300) with denser mesh + finer detail
  • Style-aware volume — a Kundan chaton has correct scalloped depth, a Polki foil-back is modelled as a distinct layer, a temple nakashi has correct repoussé relief
  • Symmetric silhouettes preserved — bilateral symmetry (left/right of a Rani Haar) locked so the mesh doesn't drift
  • Immediately viewable in browser via WebGL — share a link to the client for pre-manufacture approval

The Facetra workflow (six steps, one afternoon)

  1. Upload one 2D image — sketch, Facetra render, competitor render, or a DSLR photo of a reference piece.
  2. Pick quality tier — Standard (15 credits) or HD (25 credits).
  3. Optional: pick style (Kundan / Diamond / Temple / …) so the volume-modeller uses the right anatomy.
  4. Facetra generates the 3D mesh in 3-5 minutes.
  5. Preview in the browser (rotate, zoom, orbit) or download STL / GLB / OBJ / FBX / USDZ / 3MF.
  6. Hand the STL to your CAD bench for retopology or send directly to a wax printer.

Sample prompts to copy

Paste any of these prompts into Facetra Studio to see the style in action. Adjust weights (heavy / light), stone colours and motifs freely.

Prompt 1Kundan Chandbali earring pair — HD quality, preserve foil-backed Polki chaton depth, gold wall thickness 0.7 mm for lost-wax casting
Prompt 2Modern diamond solitaire ring, cathedral setting — Standard quality, prong count preserved, shank knife-edge cross-section, STL export
Prompt 3Temple Lakshmi vanki — HD quality, high-relief nakashi depth preserved, uncut ruby chaton cavities modelled, 3MF export for 3D printing

How much does it cost?

Credit-based pricing. Studio render 1 credit per variant, multi-view sheet 4 credits, CAD-ready view 1 credit, 3D mesh 15 credits (Standard) or 25 credits (HD). Credit packs start at ₹1,500 (Starter, 100 credits, ₹15/cr) and go down to ₹12/credit on the Atelier pack (1,300 credits at ₹15,600). New signups get 10 free credits.

Frequently asked questions

Is the output really production-ready or is it a design reference?

It's design-reference geometry that a CAD operator retopologises into a manufacturable file before casting. Wall thicknesses, manifoldness and symmetry are correct out of the box — but any professional atelier still runs a retopology pass in Rhino / MatrixGold to optimise for their specific casting or DMLS pipeline. Read our companion article on wall-thickness guidelines for the technical details.

How is it different from photogrammetry or NeRF?

Photogrammetry needs 30-100 photos from every angle (~2-4 hours of shooting) and produces a mesh with photo-baked texture that doesn't cast well. NeRF produces a point cloud, not a mesh. Facetra works from ONE image and produces a manifold mesh with correct volume — that's the differentiator.

Which quality tier should I pick?

Standard (15 credits) for client-approval or 3D-viewer sharing. HD (25 credits) when the mesh goes straight to lost-wax or DMLS printing. HD has ~4× the polygon density and preserves finer detail (granulation beads, jaali openwork, meena inlay depth).

Does it handle bilateral-symmetry pieces (necklaces, earring pairs)?

Yes. The engine detects bilateral symmetry and locks the axis so left/right stay pixel-mirrored in the mesh — no drift on the second earring or second half of a necklace.

Can I feed a Facetra render into this, or does it need a photo?

Both work. A Facetra render actually gives cleaner mesh output than a phone photo, because the render is already silhouette-locked and free of shot noise.

What if my piece is a complex assembly like a Rani Haar with 30 chatons?

For complex assemblies, pair 2D-to-3D with Auto-Split: run component detection first, then generate 3D per component. You get 30 individually addressable STLs instead of one monolithic mesh — much better for a karigar's build workflow.

Get started

10 free credits. No card required.

Enough to render 15 variations, or one full CAD kit — see the output before committing to a pack.

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