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About Scan4D

Scan4D is a professional-grade reality capture app for iPhone and iPad. It turns your device's LiDAR sensor and camera into a powerful 3D scanner, capturing detailed meshes, depth maps, and camera poses for downstream reconstruction, photogrammetry, and spatial computing. FULL MODE (LiDAR devices) • Real-time mesh reconstruction with live wireframe overlay • 16-bit depth maps captured at adaptive frame rates • Scan capacity metrics: polygon count, drift tracking, session duration • Interactive 3D mesh preview with camera-sampled vertex coloring • Privacy filtering: person segmentation removes humans from meshes, face blurring in RGB exports LITE MODE (all devices) • RGB frame capture with ARKit camera poses • Server-side photogrammetry via exported image bundles • Automatic detection — no configuration needed TIME-SERIES SCANNING • Group scans by Location and re-scan the same space over time • "Extend Scan" loads a red ghost-mesh overlay of previous captures • Adjacent stitching: scan neighboring areas with shared coordinate frames • ARWorldMap relocalization for precise alignment between sessions FLEXIBLE EXPORT FORMATS • Scan4D: Full bundle with metadata, relocalization map, images, depth, and camera data • Polycam: Raw data import compatible with Polycam • RAW: Nerfstudio/COLMAP-compatible transforms.json + images + depth • OBJ / PLY / USDZ: Native mesh formats for MeshLab, Blender, and iOS Quick Look SERVER INTEGRATION • Configure any HTTP(S) upload endpoint in Settings • Direct PUT upload with live progress tracking • Save to Files or AirDrop for offline workflows • Compatible with self-hosted reconstruction pipelines DEVELOPER MODE • Front/back camera switching for testing privacy features • Synthetic IMU, camera, and depth injection for Simulator testing • Vertex mapping diagnostics and debug overlays Designed for researchers, 3D scanning professionals, and spatial computing developers who need raw, high-fidelity sensor data with full control over the reconstruction pipeline. Requires ARKit-capable device. LiDAR-equipped iPhone or iPad Pro recommended for full functionality.

App privacy

The developer, Anthony Rowe, reported these privacy practices to Apple.

Data Not Collected

The developer does not collect any data from this app.

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