01
Upload
Import LAS or LAZ files from LiDAR, drone photogrammetry or terrestrial laser scanning.
Professional point cloud processing
Georeference your point clouds, directly online
GeoRef Cloud transforms, aligns and merges LAS and LAZ point clouds with precision. The platform is built for surveyors, engineers, topographers and geomatics professionals who need to process data without installing heavy software.
About
A cloud platform for demanding geospatial workflows
GeoRef Cloud centralises critical point cloud processing steps: GCP georeferencing, coordinate system transformation, scale correction and dataset merging.
02
Configure
Select source and target CRS, add your GCPs and choose transformation parameters.
03
Process
The cloud infrastructure runs the computation, then provides a georeferenced cloud and a usable report.
Features
Everything needed to prepare reliable point clouds
GCP
Point cloud georeferencing
Align point clouds with ground control points and transform local coordinates into accurate geospatial reference frames.
Workflow detailsEPSG
Coordinate transformation
Convert data between EPSG systems, national grids, UTM, WGS84, Lambert 93 and other production reference frames.
See transformations1:1
Scale correction
Detect and correct scale discrepancies in local point clouds to recover consistent field dimensions.
LAS
Multi-source point cloud merging
Assemble several point clouds from different sources, scales or coordinate systems.
Discover merging
Formats and capacity
Designed for large LAS and LAZ files
The platform accepts industry-standard formats and processes point clouds up to 5 GB depending on the selected plan.
LAS and LAZ
Compatible with common surveying, LiDAR and photogrammetry software formats.
Global EPSG CRS
Support for reference systems used in Europe, France and international workflows.
Cloud processing
No heavy local installation: computations are launched directly from the browser.
Ready to transform your point clouds?
Start with the free trial, test a georeferencing workflow and upgrade when your data volumes grow.