Photo3D is an AI workspace for turning product photos and reference images into reviewable 3D asset drafts. It helps creators generate GLB-ready outputs, preview results in the browser, and prepare assets with practical 3D inspection and conversion tools.
Image-to-3D generation from photos. Browser GLB preview and asset checks. Free 3D file utilities for inspection, conversion, and preparation. Workflow-oriented tools for creators, developers, e-commerce visuals, and prototypes.
Create quick 3D drafts from product photos. Review GLB assets before handoff. Prepare model files for web, AR, game prototypes, product previews, and creative concept work.

Congratulations on the launch! The idea of turning photos into high-quality 3D models so quickly is impressive. The browser-based workflow and export options make it much more accessible for creators, developers, and designers. Looking forward to seeing how the platform evolves and what new features you add in the future. Best of luck with the launch!
The "review before handoff" framing is the smart wedge β most image-to-3D tools dump a mesh and you only discover the problems once you've opened it in Blender, so doing GLB inspection in-browser is where the real time savings are. For the e-commerce use case, the thing that usually breaks AR/web previews is scale and origin being off β does the inspection step flag real-world dimensions and pivot point, or mainly topology and file validity?

Congratulations on the launch! The idea of turning photos into high-quality 3D models so quickly is impressive. The browser-based workflow and export options make it much more accessible for creators, developers, and designers. Looking forward to seeing how the platform evolves and what new features you add in the future. Best of luck with the launch!
The "review before handoff" framing is the smart wedge β most image-to-3D tools dump a mesh and you only discover the problems once you've opened it in Blender, so doing GLB inspection in-browser is where the real time savings are. For the e-commerce use case, the thing that usually breaks AR/web previews is scale and origin being off β does the inspection step flag real-world dimensions and pivot point, or mainly topology and file validity?
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