AI 2D Image to 3D CAD for Jewellery — Production-Ready Mesh
One 2D image — sketch, render or photo — one production-ready 3D CAD mesh. STL / OBJ / GLB / FBX / USDZ / 3MF, manifold, wall-thickness-aware, ready for Rhino / MatrixGold / JewelCAD retopology or direct-to-wax printing.
Producing a 3D CAD file from a 2D jewellery image is the workflow's most expensive bottleneck. Traditional route: a CAD operator in Rhino or MatrixGold spends 6-14 hours modelling from the reference render at ₹5,000-₹15,000 per mesh, and every client variation restarts the meter.
Facetra's AI 2D-image-to-3D-CAD pipeline collapses that to 3-5 minutes and ~₹300-₹420 per mesh. Output is a manifold STL (or GLB / OBJ / FBX / USDZ / 3MF) with correct wall thickness for lost-wax casting (0.6-0.8 mm) or DMLS 3D printing (1-2 mm). Your CAD bench retopologises against Facetra's silhouette-faithful geometry instead of modelling from scratch — saving 4-12 hours per piece.
What is AI 2D-image-to-3D-CAD for jewellery?
AI 2D-image-to-3D-CAD for jewellery is a mesh-generation workflow that reads a single 2D image and produces a full 3D CAD file — manifold surface, correct volume, wall-thickness-aware for casting or DMLS printing. Unlike photogrammetry (needs 30-100 photos, 2-4 hours) or NeRF (produces a point cloud, not a manufacturable mesh), Facetra works from one image and outputs immediately-usable CAD geometry. It flows into Rhino / MatrixGold / JewelCAD for retopology or straight to a wax printer for client-approval prototypes.
What Facetra 2D-to-3D-CAD delivers
- Every CAD format — STL, GLB, OBJ, FBX, USDZ, 3MF — Rhino, MatrixGold, JewelCAD, ZBrush, Blender all accept out of the box
- Manifold + wall-thickness-aware — safe for lost-wax casting (0.6-0.8 mm) or DMLS 3D printing (1-2 mm)
- Two quality tiers — Standard (15 credits, ~₹180) and HD (25 credits, ~₹300) with 4× polygon density and finer detail
- Style-aware volume — Kundan chaton scalloped depth, Polki foil-back layer separation, temple nakashi repoussé relief modelled correctly
- Bilateral symmetry locked — earring pairs, necklace panels stay pixel-mirrored across the axis
- In-browser WebGL preview — rotate, zoom, orbit and share with the client for pre-manufacture approval
- Auto-Split component detection — decompose a Rani Haar with 30 chatons into 30 individually addressable meshes
The Facetra workflow (six steps, one afternoon)
- Upload one 2D image — a sketch, a Facetra render, a competitor render, a DSLR photo of a reference piece, or a Rhino / MatrixGold screenshot.
- Pick quality tier — Standard (15 credits) for client approval, HD (25 credits) for direct-to-printer or direct-to-cast.
- Optional: pick style preset (Kundan / Jadau / Polki / Diamond / Temple / …) so the volume-modeller uses the right anatomy.
- Facetra generates the 3D CAD mesh in 3-5 minutes.
- Preview in the browser or download STL / GLB / OBJ / FBX / USDZ / 3MF.
- Hand the mesh to your CAD bench for retopology in Rhino / MatrixGold, or send directly to a wax printer for a rapid prototype.
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.
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 truly production-ready or a design reference?
It's design-reference geometry that a CAD operator retopologises before commercial cast. Wall thickness, manifoldness and symmetry are correct out of the box. Any professional atelier still runs a retopology pass in Rhino / MatrixGold to optimise for their specific casting pipeline — but the mesh is directly usable for 3D-printed wax samples and client-approval prototypes.
How is this different from photogrammetry or NeRF?
Photogrammetry needs 30-100 photos from every angle (2-4 hours of shooting) and outputs a photo-textured mesh that doesn't cast well. NeRF is a point cloud, not a manifold mesh. Facetra reads ONE image and outputs a manifold, wall-thickness-aware mesh you can send straight to Rhino, MatrixGold or a 3D printer.
Which format should I pick for my CAD workflow?
STL for Rhino / MatrixGold retopology and lost-wax casting. GLB for browser preview and WebGL sharing. FBX for JewelCAD or animation. USDZ for iOS AR preview. 3MF for DMLS 3D printing (preserves colour + material metadata). OBJ for ZBrush or Blender sculpting.
Can I feed a Facetra render into this?
Yes — and it actually gives cleaner mesh output than a phone photo because the render is already silhouette-locked and free of shot noise. The full CAD kit (render → multi-view → 3D mesh) chains automatically from any Facetra Studio output.
What about complex assemblies like a Rani Haar with 30 chatons?
Pair 2D-to-3D-CAD with Auto-Split component detection. Run Auto-Split first to decompose the piece into individual parts, then generate 3D per component. You get 30 individually addressable STLs instead of one monolithic mesh — much better for a karigar's build workflow and for costing.
Do I still need Rhino / MatrixGold / JewelCAD?
Yes. Facetra sits upstream of Rhino / MatrixGold / JewelCAD — it produces the CAD-quality mesh your operator retopologises into a manufacturable casting file. Think of Facetra as the sketch/photo-to-CAD-input pipeline, not a CAD software replacement.
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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