PotreeConverter
Generates an octree LOD structure for streaming and real-time rendering of massive point clouds in web browsers and desktop applications.
What is PotreeConverter?
PotreeConverter is a tool that converts massive point cloud data (e.g., from LiDAR or photogrammetry) into a multi-resolution octree structure. It solves the problem of rendering and streaming extremely large point clouds that cannot fit into memory by creating an efficient level-of-detail hierarchy. The output enables real-time, interactive visualization in web browsers via Potree or in desktop applications via PotreeDesktop.
Developers and researchers working with 3D geospatial data, LiDAR point clouds, or large-scale 3D scans who need to visualize and share these datasets interactively. This includes GIS professionals, archaeologists, civil engineers, and computer graphics practitioners.
Developers choose PotreeConverter for its exceptional speed (10–50x faster than previous versions), drastically simplified output (only 3 files), and robust compatibility with the Potree ecosystem. It is a free, open-source alternative to proprietary point cloud processing tools, optimized for handling out-of-core datasets efficiently.
Overview
Create multi res point cloud to use with potree
Use Cases
Best For
- Converting terrestrial or aerial LiDAR scans for web-based visualization
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