Creators scanning real spaces
Capture rooms, objects, and environments quickly with reconstruction-focused camera controls.
Radiance Fields
SplatKing combines dual-lens capture, LiDAR depth support, and export-ready metadata so teams can collect high-quality reconstruction input data in the field.
SplatKing is optimized for teams that need reliable, high-fidelity capture input for gaussian splatting.
Capture rooms, objects, and environments quickly with reconstruction-focused camera controls.
Keep predictable capture settings and export structure for cleaner handoff to production pipelines.
Use session-level quality summaries and per-frame diagnostics to identify weak captures early.
Each capture session is packaged so reconstruction teams can move directly into preprocessing with less manual cleanup.
SplatKing is designed for gaussian splatting workflows where coverage quality and sharp data matter more than generic camera UX.
Capture Wide and Ultra streams in one pass to reduce time while improving scene coverage.
Use one-shot or auto cadence capture with pause/resume to handle interruptions without restarting.
LiDAR mode packages RGB images with depth and sampled point cloud outputs for downstream reconstruction.
After capture, SplatKing reports good / medium / poor frame quality and exports CSV-level diagnostics for fast triage.
Keep auto exposure for speed or lock exposure values for consistent data in difficult lighting.
Each session includes calibration and pose metadata to simplify preprocessing for gaussian splatting.
Use Dual Video, Dual Photo, or LiDAR mode based on your reconstruction target.
Collect stable movement and complete scene coverage while monitoring quality and frame counts.
Share media + metadata package to desktop, cloud storage, or processing pipeline.
Feed captures into your gaussian splatting workflow with less cleanup and better consistency.
No. LiDAR mode uses a single RGB lens plus depth sensing, while Video and Photo modes are dual-lens.
Use undistorted outputs if your reconstruction pipeline expects rectified frames. Keep native footage if your pipeline handles lens distortion directly.
Storage use depends on mode and session length. Check the in-app storage indicator before capture, especially for long 4K dual-video sessions.
Built for creators and teams who care about reconstruction quality.
Review SplatKing terms and privacy details before deployment or team rollout.