Visualize
Open dense spatial data and move through it with a clear 3D view.
Tools for LiDAR and Point Cloud Data
See your point clouds clearly.
Fast, practical tools for LiDAR and 3D data.
Urban RGB scanLocal session
42.8MpointsRGBcolorGPUviewport
Klar3D
Practical software for real 3D spatial data.
Klar3D develops practical tools for viewing, inspecting, measuring, processing, and working with 3D point-cloud data.
WolkeViz
Browser-based LiDAR and point-cloud viewer
WolkeViz makes it easy to open and explore point-cloud data directly in a modern browser. For local file workflows, viewing, inspection, basic editing, and measurements happen on the user's computer; the data is not sent to the cloud.
Launch WolkeViz →
RGBElevationIntensityClassificationMeasurementTerrain
Local-first
Open point clouds directly from your computer.
Private by design
Local files are processed in your browser and are not uploaded.
Fast
Designed for quick loading and responsive 3D visualization on ordinary laptops and desktops through client-side parsing and GPU rendering.
No installation required
Open WolkeViz in a modern browser.
Works offline
The PWA can run locally after its application shell has been installed or cached.
Open formats
PLY, PCD, LAS, LAZ, and indexed ROS 2 MCAP recordings containing sensor_msgs/msg/PointCloud2 are supported.
LiDAR data modes
Color, classify, and compare complex scenes.
Point clouds are easier to understand when terrain, intensity, classes, and local measurements can be read in the same workflow.
Built for 3D data
Focused tools for day-to-day spatial work.
Inspect
Check points, surfaces, scan artifacts, and scene structure quickly.
Measure
Capture practical distances and spatial relationships in context.
Analyze
Compare coloring modes, object classes, terrain, and returns.
LiDAR visual gallery
Terrestrial, mobile, and aerial
RGB / true color
Mobile street scan
Ground-level LiDAR with buildings, road surfaces, trees, poles, pedestrians, and vehicles.
Elevation palette
Aerial terrain
Roads, buildings, vegetation, and terrain relief viewed from an airborne scan.
Intensity
Transportation corridor
Highway geometry with lane markings, structures, signs, vehicles, and roadside returns.
Object classes
Classified urban LiDAR
Ground, roads, buildings, vegetation, vehicles, and other objects separated by class.
Inspection
Point measurement
Close-range point selection and spatial measurement between two features.
Ground returns
Forest and terrain
Canopy and bare-earth returns showing terrain under dense vegetation.
WolkeViz