Potree is a free open-source WebGL based point cloud renderer for large point clouds. It is based on the TU Wien Scanopy project and research projects Harvest4D, GCD Doctoral College and Superhumans.

Newest information and work in progress is usually available on twitter

Contact: Markus Schütz (mschuetz@potree.org)

Reference: Potree: Rendering Large Point Clouds in Web Browsers

Install node.js

Install all dependencies, as specified in package.json:

npm install

Use npm run build to create ./build/potree.

Use the npm start command to

• create ./build/potree
• watch for changes to the source code and automatically create a new build on change
• start a web server at localhost:1234.

Go to http://localhost:1234/examples/ to test the examples.

Download PotreeConverter and run it like this:

./PotreeConverter.exe C:/pointclouds/data.las -o C:/pointclouds/data_converted

Copy the converted directory into <potreeDirectory>/pointclouds/data_converted. Then, duplicate and rename one of the examples and modify the path in the html file to your own point cloud.

• Potree
• PotreeConverter - Convert your point cloud to the Potree format.
• PotreeDesktop - Desktop version of Potree. Allows drag&drop of point clouds into the viewer.

Virtual Reality	Oriented Images	Geopackage	Classifications	Camera Animation	Load Project
Toolbar	Matcap	Basic Viewer	Heidentor	Lion	Lion LAS
Lion LAZ	EPT	EPT Binary	EPT zstandard	Clipping Volume	CA13
Elevation Profile	Measurements	Meshes	Multiple Point Clouds	Features (Sorvilier)	Features (CA13)
Annotations	Hierarchical Annotations	Animation Path	Shapefiles	Cesium CA13	Cesium Retz
Cesium Sorvilier	Custom Sidebar Section	Embedded Iframe	Gradient Colors

Potree is funded by a combination of research projects, companies and institutions.

We would like to thank our sponsors for their financial contributions that keep this project up and running!

Diamond € 15,000+
Gold € 10,000+
Silver € 5,000+
Bronze € 1,000+

• The multi-res-octree algorithms used by this viewer were developed at the Vienna University of Technology by Michael Wimmer and Claus Scheiblauer as part of the Scanopy Project.
• Three.js, the WebGL 3D rendering library on which potree is built.
• plas.io point cloud viewer. LAS and LAZ support have been taken from the laslaz.js implementation of plas.io. Thanks to Uday Verma and Howard Butler for this!
• Harvest4D Potree currently runs as Master Thesis under the Harvest4D Project
• Christian Boucheny (EDL developer) and Daniel Girardeau-Montaut (CloudCompare). The EDL shader was adapted from the CloudCompare source code!
• Martin Isenburg, Georepublic, Veesus, Sigeom Sa, SITN, LBI ArchPro, Pix4D as well as all the contributers to potree and PotreeConverter and many more for their support.