RadianceCap vs SpatialCapture

RadianceCap is the iPhone capture app for sensor-rich 3D scenes. It stores the known camera pose, optics, and LiDAR depth information with every photo, creating a reliable foundation for processing in RadianceKit on the Mac. GUIDED CAPTURE • Single-frame or automatic capture based on time and movement • Live camera-path and photograph-supported LiDAR surface display • Profiles for details, rooms, and larger subjects • Sound, haptic, or visual-only capture feedback UNDERSTAND QUALITY • Warning for images that are clearly at risk of blur • A red prohibition symbol identifies safely stored images excluded from training • Exposure guidance and transparent capture statistics MANAGE YOUR OWN SCENES • Review, name, annotate, and share captures • Include or exclude images before training • Transfer with AirDrop, Share, or Files • Optional sync through the private iCloud storage of your own Apple account • Optional Apple Watch controls for start, pause, and feedback PRIVATE BY DEFAULT New scenes stay on the iPhone first. RadianceCap requires no account, contains no advertising, and does not track you. iCloud becomes active only after explicit consent. New captures require a LiDAR-capable iPhone running iOS 17 or later. Gaussian Splatting training takes place in RadianceKit for Mac, available separately.

Turn an iPhone or iPad into a camera for agents. SpatialCapture records the visual and sensor evidence that external AI tools, Blender scripts and reconstruction workflows need to understand a real scene. Make one take, then share one documented ZIP containing video, calibrated camera movement, timestamps and the sensors you selected. WORKS WITH OR WITHOUT LIDAR Every supported ARKit device records video and a calibrated camera pose for each accepted frame. A device with a LiDAR Scanner also records measured scene depth and confidence. On a standard iPhone or iPad, the same workflow produces a pose-and-sensor package without invented depth. CAPTURE • Select the physical 0.5× ultra-wide or 1× wide camera when both are available • Video with optional microphone audio • Calibrated camera positions, orientations, intrinsics and timestamps • Optional gyroscope, accelerometer, gravity and device orientation • Optional GPS coordinates, altitude, speed and accuracy when available • LiDAR scene depth, confidence and matched color references when supported EXPORT FOR AGENTS AND BLENDER Export a ZIP containing the movie, frame-by-frame JSONL metadata, sensor streams, a readable manifest, a README and a Blender Python importer. LiDAR takes also include lossless depth buffers and color reference images. Recordings remain available in the Files app. The bundled Blender importer creates an animated camera from every take. For LiDAR captures, it also creates measured surface patches. Use the package as source evidence for manual modeling or with an external reconstruction agent you choose. PRIVATE BY DESIGN No account, subscription, advertising or automatic upload. GPS is off by default. Everything stays on your device until you use the system share sheet. SpatialCapture has no built-in AI service and does not send recordings to a developer server. FOR BEST RESULTS The app starts with the 0.5× ultra-wide camera when ARKit supports it, giving agents more scene context in each frame. You can switch to 1× before recording. Move slowly around still subjects and capture several angles. Pose-only captures do not contain measured geometry. LiDAR can miss glass, reflections, distant surfaces and hidden areas. GPS provides approximate geographic context; it does not register the ARKit world to a map. Requires an ARKit world-tracking iPhone or iPad with iOS/iPadOS 26 or later. The recorder uses an available HD format, preferably 30 FPS. It does not record 120/240 FPS slow motion or create a finished 3D model on the device. Privacy: https://www.carspecslab.com/docs/spatialcapture-privacy.html Support: https://www.carspecslab.com/docs/spatialcapture-support.html