Your Capture Output
Your Capture Output
Every SplatKing session is saved as a self-contained folder — a “splatpack” — under Files → On My iPhone → SplatKing → Captures. The folder holds your media plus the metadata a radiance field pipeline needs to reconstruct the scene. Nothing leaves your device unless you share it.
What a splatpack contains
Everything is plain media (.jpg, .mov, .ply), JSON, or raw binary buffers — no proprietary container.
The manifest: splatpack.json
splatpack.json is the entry point for any pipeline that ingests a SplatKing capture. It records the capture’s identity (schema version, capture type, app version, when generated) and an index of the capture — for photo and LiDAR, the list of frame pairs (each with its shared captureId, per-lens image files, and a quality score); for video, the per-stream records.
{
"schema": "splatpack.v2",
"schemaVersion": 2,
"captureType": "photo_dual",
"folderName": "PhotoSeries_20260601_103356_655",
"app": { "shortVersion": "1.0.0", "buildVersion": "17" },
"pairCount": 30,
"pairs": [
{
"captureId": "20260601_103356_701",
"quality": { "score": 0.86, "band": "good" },
"streams": [
{ "camera": "wide", "imageFile": "wide_20260601_103356_701.jpg" },
{ "camera": "ultra", "imageFile": "ultra_20260601_103356_701.jpg" }
]
}
]
}Both lens streams of one capture share a single captureId (a millisecond-resolution timestamp), so matching paired frames is trivial.
Folder layout by mode
Pick a capture mode to see its splatpack tree.
Quality & diagnostics
Per-frame metadata (.json) carries each frame’s camera data and a quality assessment, so you can filter weak frames before reconstruction. capture_events.ndjson is a diagnostic log of in-session events — no image data, no location, and no identifiers, just app-internal status, errors, and capture markers.
Next steps
For the complete splatpack.json field reference, see the SplatPack schema (developer reference).