All tools

Image → 3D

Early version

Photo → Point Cloud

Turn a single photograph into a 3D point cloud, in your browser.

The problem

Students constantly need quick 3D from flat reference — a site photo, a precedent image, a sketch — but photogrammetry needs dozens of images and scanning gear no one owns. A single image is usually all you have.

What this does

Drop in one image. A monocular depth model runs entirely on your device (no upload, no server), estimates a depth value per pixel, and unprojects every pixel into a coloured point in 3D space that you can orbit. It's a fast way to read the spatial structure of a precedent or a site.

Try it

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What it does

This tool estimates a depth map from a single image using a neural network that runs locally in your browser (WebGPU / WASM — nothing is uploaded). Each pixel is then back-projected through a simple pinhole-camera model into a coloured 3D point, producing a point cloud you can orbit and inspect.

Why it's useful

  • Read the spatial depth of a precedent image or site photo in seconds.
  • Generate rough point clouds for collage, diagramming, or as a base to model over.
  • No account, no upload, no GPU server — it runs on your laptop.

Honest limits (it's an early version)

  • Monocular depth is relative, not metric — proportions are plausible, not survey-accurate.
  • One image only sees one side; there's no information behind objects.
  • Best on images with clear depth cues (interiors, streets, landscapes).

The real pipeline (for the roadmap)

For metric, multi-view accuracy you'd move to photogrammetry (RealityCapture, Metashape, COLMAP) or learned multi-view depth. This artifact is the instant, single-image end of that spectrum.

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