Massive PotreeConverter

Use parallel processing to quickly convert large point cloud data sets to the format used by the Potree viewer.

181 commits | Last update: June 26, 2018

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What Massive PotreeConverter can do for you

  • For people wanting to visualize country sized point cloud data-sets using the Potree viewer, a way to convert the huge data-set for viewing in reasonable time.
  • This converter provides a way to convert the point cloud data to potree readable format in parallel instead of sequentially
  • The converter offered by potree will take a very long time to convert a huge data set as it will process each point in sequence, this software breaks the data-set up into pieces which can be converted in parallel, shortening the conversion time significantly
  • The converter was used for the visualization ( of the 640 billion point data-set of the Netherlands
  • Optimized data handling
  • Big data
Programming Language
  • Python
  • Apache-2.0
Source code

Participating organizations


  • Oscar Martinez Rubi
    Netherlands eScience Center
  • Maarten van Meersbergen
    Netherlands eScience Center
  • Stefan Verhoeven
    Netherlands eScience Center
Contact person
Stefan Verhoeven
Netherlands eScience Center

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