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§ 01Free software

PCToolbox

A free desktop studio for LiDAR point clouds. 26 processing tools, a streaming 3D viewer, and the book's algorithms running live, all on the PDAL engine.

v1.0.0 · Open source, MIT · LAS · LAZ · COPC · EPT

The PCToolbox dashboard: file panel, job queue, recent tools, pinned presets and the tool library.

§ 02Workflow

From raw scan to deliverable

01

Prepare

Tile, merge, clip, decimate, filter, colourise.

02

Terrain

Ground extraction, DTM, DSM, nDSM, height normalisation.

03

Analyse

Segment, classify, detect shapes, map density, measure change.

04

Deliver

Rasters, meshes, vectors, reports, reprojected clouds.

Also in the box: format converter · reprojection with vertical datums · LAS editor · registration · meshing · COPC/EPT viewer with cross-sections

§ 03Algorithm Lab

The book, running live

Every lesson in the Algorithm Lab follows a chapter of 3D Point Cloud Processing: the theory, the pseudocode, then an interactive demo you can tune and watch on real points. Voxel downsampling, PCA normals, ICP, ground filters, DBSCAN, Poisson reconstruction.

The Algorithm Lab: voxel downsampling theory, pseudocode and an interactive demo, from chapter 5 of the book.

§ 04For teams

Work with the author

PCToolbox and the book come from the same hands that would work on your project. Three ways to engage:

Custom pipelines and software

PDAL processing chains, automation, and desktop or server tools built around your data and your deliverables.

AI classification, done for you

Semantic classification of your LiDAR data, or the full model pipeline implemented in-house so your team owns it.

Try it free with one scan →

Team training

Live sessions on point cloud processing for engineering teams, built on the book's material and real datasets.

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You get an email when a new version ships.