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OBJ — Wavefront Cube

A 10 mm cube as a Wavefront OBJ — plain-text vertices and triangular faces, the lingua franca of 3D asset exchange. For testing OBJ importers and conversion.

Loading 3D preview…

Interactive preview rendered from the equivalent glTF (cube.glb); drag to orbit. Download the file above for the OBJ original.

Specifications

Format
Wavefront OBJ
Solid
10 mm cube
Triangles
12
Vertices
8
Units
mm

What is a .obj file?

OBJ (Wavefront OBJ) is a text-based 3D geometry format defining vertices, texture coordinates, normals, and faces, and referencing materials through a companion MTL file. It is simple, widely supported, and can represent polygonal meshes with UV mapping. It is a common interchange format across 3D tools.

How to use this file

Use an example OBJ to test mesh and UV parsing, MTL material resolution, and importers in 3D engines, renderers, and modeling applications.

How to use this file for testing

“OBJ — Wavefront Cube” is a deterministic Novus Examples fixture for Conversion testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: Wavefront OBJ. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

3D and CAD fixtures carry one small, documented solid or scene. Convert and inspect against the known geometry, units, and structure; format twins let you diff interchange fidelity, and the 3D viewer previews the actual mesh.

Code examples

import trimesh  # pip install trimesh

mesh = trimesh.load("cube.obj")
print(mesh.bounds, mesh.faces.shape)

Generated by generation/models.py. Free for any use, no attribution required — license.