MagiScan vs OpenMVG
MagiScan
magiscan.appOpenMVG
github.comSide by side
| Figure | MagiScan | OpenMVG |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · AI 3D Scanning Software | 8.1 (#10) | 8.5 (#4) |
| Support | The maker says support usually replies within one business day. | The repository lists a project contact email and directs users to its wiki for tutorials and usage resources. |
Plans
MagiScan
- Free scansFree
- MagiScan PREMIUMPrice not published
- MagiScan PREMIUMPrice not published
In their own words
MagiScan
MagiScan is an AI-powered 3D scanning app and creation ecosystem for capturing real objects or generating models from text and photos. Its guide lists 360, Freeform, Hybrid, and Upload Photo capture modes. Models can be exported as OBJ, STL, FBX, PLY, USDZ, GLB, and GLTF. The maker lists workflows or integrations with Unity, Bambu Lab, Blender, Cura, PrusaSlicer, and OrcaSlicer. MagiScan Studio lets users browse scans on a computer and open models in supported 3D applications and slicers. A Unity plugin imports scans from a linked phone account into a project, and its panel loads the latest 500 scans. The app also includes an extension for sending scans to NVIDIA Omniverse and can turn scanned objects into Minecraft block structures; that feature is unofficial and not endorsed by Mojang AB. Getting started requires an iPhone or Android smartphone, and the maker says a smartphone camera is sufficient.
OpenMVG
OpenMVG is an open-source C++ library for multiple-view geometry, 3D computer vision, and structure from motion. It provides libraries, binaries, and pipelines for reconstructing 3D scenes from images. Library areas include image manipulation, feature description and matching, feature tracking, camera models, multiple-view geometry, robust estimation, and structure-from-motion algorithms. Its binaries can initialize scenes, detect and match features, perform reconstruction, and export scenes to other multiple-view-stereo frameworks. Those frameworks can compute dense point clouds or textured meshes from exported scenes. OpenMVG is released under the Mozilla Public License 2.0 and is listed as free. The project says it aims to support reproducible research through readable implementations of classic and state-of-the-art algorithms. It is designed for reading, learning, modification, and use, with test-driven development and samples. Tutorials cover data structures, library use, and processing an image dataset. Platforms listed are Windows, macOS, Linux, iOS, Android, and self-hosted, with desktop deployment, API access, point-cloud export, and ground control point support.