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How Image to Point Cloud Works
A point cloud is a collection of points in 3D space, each defined by X, Y, Z coordinates. Unlike a mesh, there are no triangles connecting the points — they are freestanding samples of a surface. Point clouds are the native output format of 3D scanners, LiDAR sensors, and photogrammetry pipelines, and they are widely used in robotics, GIS, scientific visualisation, and machine learning research.
This tool generates a point cloud from a depth map of your image. Each pixel in the image becomes one point in the cloud: its X and Y coordinates are derived from its position in the image grid, and its Z coordinate comes from the estimated depth at that pixel (either from AI depth estimation or from luminance in Classic Mode). The image's RGB colour at each pixel is optionally exported alongside the geometry, giving you a coloured point cloud in PLY format.
PLY files can be opened in CloudCompare (free, open-source), Blender, MeshLab, or ParaView. XYZ is a simpler plaintext format supported by many scientific analysis tools.
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