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Supported formats and capabilities

One table for the question "will it open my file", and a second for "what can it do with it". Where a cell can carry a measurement it does, instead of a tick: a number can be checked, a tick cannot.

Formats

Files are recognised from the extension and confirmed from the content. Reading is free; writing what N3D computed is Pro.

FormatKindReadsWritesWhat it carriesMeasured
LAS.las Point cloud Reads Writes PDRF 0 to 10, memory-mapped; intensity, returns and classification as columns; CRS from GeoTIFF keys, WKT and EVLRs 43.5 M points in about 1.2 s
LAZ.laz Point cloud Reads No parallel decompression, chunk table indexed for strided reads about 40 M points/s; 142 M points in about 3.3 s
COPC.copc.laz Point cloud Reads No opens through the LAZ path, since COPC is LAZ 1.4 by design 16.2 M points in 2.4 s
E57.e57 Point cloud Reads No multi-scan with poses applied; embedded images and 360° panoramas you can stand in 127.8 M points / 7.9 GB in about 22 s
PLY.ply Point cloud, mesh or splats Reads Writes a Gaussian splat file and a plain cloud are told apart on load; extra properties become colourable columns not published
SPZ.spz Gaussian splats Reads No Niantic compressed splats about 60 FPS at 2 M splats
PCD.pcd Point cloud Reads No ASCII and binary not published
NPY.npy Point cloud Reads No NumPy arrays N x 3 or wider, float32 or float64; extra columns become scalar fields not published
ASCII.xyz .pts .asc .txt .csv Point cloud Reads As CSV column layout detected from the values, so x y z r g b and x y z nx ny nz are told apart not published
IFC.ifc BIM model Reads No IFC2x3 and IFC4; extruded solids, B-rep, mapped items, boolean clipping, triangulated face sets, styled colours; storeys and spaces feed the floor plan 100,871 entities in about 1 s
STEP.step .stp CAD model Reads No AP203 and AP214 B-rep, tessellated by a pure-Rust kernel not published
USD.usd .usda .usdc .usdz Stage Reads As .usda full composition (references, payloads, variants, class prototypes, native instancing); components in the Scene pane same 15,217,537 triangles as OpenUSD 26.8; reopens in 1.64 s
glTF / GLB.gltf .glb Mesh, cloud, cameras Reads Writes meshes with textures, point clouds, and camera frustums recovered as real poses not published
OBJ.obj Mesh Reads No read-only not published
STL.stl Mesh Reads No binary and ASCII not published
GeoJSON.geojson Vector Reads Writes lands in the scan’s own frame; CRS clash checked not published
Shapefile.shp Vector Reads Writes written with its .dbf, .shx and .prj not published
DXF.dxf Drawing Reads Writes R2000, model space in metres at 1:1, real dimension entities, ISO 13567 layers, pure-ASCII with a declared code page not published
SVG.svg Drawing Reads Writes real paper millimetres; text stays text not published
PDF.pdf Drawing No Writes PDF 1.4 vector at the sheet’s true size, with an embedded font when a name needs one not published
CityGML.gml Vector Reads No read as a drawing layer not published
GeoTIFF / ASCII grid.tif .asc Raster No Writes 32-bit float with a .prj, a declared no-data value and the EPSG code in its GeoKeys, checked by reopening in GDAL not published
DWG / DGN.dwg .dgn Drawing No No refused, and the reason given; save as DXF instead not published

Not listed? A point format not in the table can usually be written as LAS, PLY or ASCII by the program that made it; ASCII columns are detected from the values. DWG and DGN are refused on purpose: save them as DXF.

Capabilities

Where each process is reached in the app and on the command line, its tier, and what it was measured at.

CapabilityIn the appCommand lineTierMeasured
See it
Out-of-core octree rendering automatic render free 43.5 M points at 60 FPS, 9.0 ms a frame (p50)
Gaussian splats with level of detail automatic; N3D_SPLAT_BUDGET splat-tree free 2.4x faster at 500 k splats, 4.6x at 150 k, on 1.92 M
Eye-dome lighting, surface reconstruction, surfels, voxel view Display render --no-edl / --points / --voxel free voxel grid up to 2048 cells a side
Understand it
Unsupervised segmentation Process > Unsupervised Segmentation seg-stats free not published
Decomposition into primitives Process > Decompose into Primitives primitives free 43.5 M points into 1,501 regions in 5.8 s
Four classifiers Process > Classify Segments render --classify, *-eval free indoor 82 %, outdoor 86.2 %, powerline 87 to 88 %, streetscape 31 of 32 signs
Ground filter (cloth simulation) Process > Ground filter... ground free F1 90.3 % vs IGN LiDAR HD, 16.2 M points in 2.1 s
Scene graph and spaces Process > Scene graph & spaces... graph free (export Pro) 31 rooms, 48 openings in 0.35 s on 43.5 M points
Measure it
Distance, area and volume Measure tool app only free volume integrated over up to 8 M points, coverage reported
Cloud-to-cloud and cloud-to-BIM deviation Process > Compare & detect change... report --reference free (CSV Pro) not published
M3C2 change detection Process > Compare & detect change... compare free a 50 mm lift measured as +0.04998 m; 0.0 % change against itself
Carry a column between clouds Process > Transfer a column from a layer... transfer free 20 M points in 0.21 s
Build from it
Floor plan, sections and elevations Process > Floor plan... floorplan Pro to save Area 4: 42 spaces, plan and 6 sections and elevations, 21 files in 1.0 s
Terrain products Process > Terrain products... terrain Pro to write 6 rasters on one 0.50 m grid in 0.66 s; 616 contours
Clean mesh, Poisson, segment meshes Process > Mesh (clean)... / Surface mesh (Poisson)... / Mesh Segments mesh-clean, seg-mesh free (glTF Pro) not published
Registration Process > Align to reference cloud... graph-match --refine free RMS reported with the inlier share
Deliver it
HTML report with provenance File > Build report... report Pro exit code 0 pass, 2 fail
Export with computed columns File > Export point cloud... app only Pro not published
Flythrough video File > Export Flythrough... path Pro 720p to 1440p, 24 to 60 fps

Every figure comes from the product's capability register and the published verification reports. The guides state what each was measured on.

What is deliberately not supported

  • Streaming splat scenes larger than video memory (the splat level of detail is built; a residency pool for splats is not).
  • SLAM trajectory or RTK pseudo-fix quality control.
  • Manifold mesh repair - the clean mesher's surface is closed but not edge-manifold, and the mesh audit says so.
  • Mesh decimation, and writing OBJ (OBJ is read-only).
  • Metric scale anchoring for splat captures.
  • Reading or writing DWG and DGN - DWG's specification is not published and the only open library is LGPL, which N3D's permissive-only licence policy excludes; DXF R2000 (which AutoCAD and every CAD package open), PDF and SVG are written instead.
  • Classification that certifies itself - N3D reports a per-point confidence and keeps a human in the loop.
  • A macOS or Linux build - Windows only today.

About

Why Neurones 3D exists.

Standing inside a 43.5 million point indoor laser scan rendered by Neurones 3D

I have spent years working with point clouds, and for most of them the software got in the way. I wanted one tool I would actually reach for every day: fast enough to enjoy, honest about what it does, and calm to use.

Neurones 3D started in Python, the way most of my research does. It worked, but it was heavy, and heavy tools quietly discourage you from opening them. So I rebuilt everything in Rust, from the file readers to the renderer, with one rule: stay frugal. A single small file, no cloud, no telemetry, billions of points on a laptop that is ten years old. In an age where every tool reaches for a data center, I wanted the opposite.

The goal is simple to say and hard to earn. One package that carries you from capture to understanding to deliverable, without exporting to five other programs along the way. Load a scan, a splat, a building, a phone video. See it, classify it, measure it, and send out something real. Together, in one place.

This is the tool I always wanted. I hope it becomes yours too.

Dr. Florent Poux 3D Geodata Academy

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