Pixlane is loading locally. No upload, no signup, and your files stay on your device.
Find corresponding points between two photos of the same scene using DISK keypoints matched by LightGlue — the state-of-the-art neural matcher from ETH Zürich (ICCV 2023). Pixlane runs the full fused network locally via WebAssembly and draws score-colored match lines across a side-by-side view. Your photos never leave your device.
All processing runs locally in your browser. Your files never leave your device — no upload, no server, no signup required.
A detector network (DISK) finds distinctive keypoints in each photo, then a matcher network (LightGlue) decides which keypoints show the same physical spot. The result is a set of point-to-point correspondences with confidence scores — the building block of panorama stitching, 3D reconstruction, and visual localization.
DISK (EPFL, NeurIPS 2020) for keypoints and LightGlue (ETH Zürich, ICCV 2023) for matching, fused into one ONNX graph and run locally through ONNX Runtime WebAssembly. Both models are Apache-2.0 licensed.
Color encodes the matcher's confidence: green lines are high-confidence correspondences, yellow are mid, red are the weakest kept after your confidence filter.
No. The network weights are downloaded once (about 25 MB, cached for repeat visits) and all inference runs inside your browser. Your photos never leave your device.