Snap Part

SnapPart turns three short phone videos of a physical part (a broken one, or an identical copy of a missing one) into a measured, 3D-printable STL, and says plainly what it could not see. You print an A4 mat of 26 ArUco markers and film the part: a high orbit, a low orbit, and one flipped over. The mat gives every frame its camera position and real millimetre scale. SAM 3.1 cuts the part out of every frame, a voxel carve builds the shape from the outlines, and flat faces and round bars are snapped true. Anything a camera cannot see, such as how deep a slot goes, becomes a "show me where" question, and your answer rebuilds the model in about 2 seconds with no AI call. Every value is labelled Measured, You entered, Estimated or Can't be seen. On our verified test part, a briefcase lock plate (51.6 x 41.9 x 11.8 mm by callipers), SnapPart was within 0.26 mm on every dimension and scored 0.95 on held-out views; the printed copy fit the real lock after light sanding. We also publish all 8 calliper-tested parts, failures included, in testing/. Anyone can try it with no key: the app replays our real recorded run. Public GitHub Repository: https://github.com/bibeksarkar001/snappart 3-Minute Demo Video: paste your YouTube link here (public or unlisted, under 3:00, tested in a private window). The video should show, in this order: the broken part and the problem (first 15 seconds), filming three videos on the mat, the live or recorded build, the "show me where" question and the 2-second rebuild, the 3D model and honest labels, the printed part fitting, then the repo and the Meta models.