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GIS, survey, and mapping
Open LAS and compressed LAZ files to check spatial coverage, density, RGB, intensity, elevation, and classification values. Measure features or use a crop box to isolate a smaller area for export.
Browser-based point-cloud viewer
View LiDAR and point clouds locally—in your browser.
Open, verify, measure, crop, and export spatial data without installing specialist desktop software. Local files stay on your computer: WolkeViz processes them in the browser instead of uploading them to a conversion server or cloud service.
What it is
A fast first look at point-cloud data.
WolkeViz is an online LiDAR and point-cloud viewer that runs on your device. Use it to check whether a file opens, inspect its coverage and attributes, review individual robotics frames, take measurements, or prepare a smaller dataset before moving into a larger GIS, robotics, or analysis workflow.
- Open common formats: LAS, LAZ, COPC, PLY, PCD, and supported ROS 2 MCAP recordings containing
sensor_msgs/msg/PointCloud2. - Start immediately: no application installation, account, upload queue, or server-side conversion step for local files.
- Verify the data: rotate and zoom, fit the scene, switch display attributes, inspect frames, measure distances and elevation, and isolate an area with crop tools.
- Work on ordinary computers: browser workers keep parsing away from the main interface while GPU rendering and point budgets keep interaction practical.
Private by design
Your local data stays local.
Selecting a local file does not send the point cloud to Klar3D or to a third-party cloud processor. Reading, parsing, and rendering happen inside your browser on your computer.
No point-cloud uploadLocal LAS, LAZ, PLY, PCD, COPC, and supported MCAP files are read through browser file APIs. They do not need to leave your device.
No account or installationOpen the web app in a modern browser and choose a file. There is no desktop installer, license server, or account required for the local viewing workflow.
No hidden conversion backendParsing work is performed client-side, including in Web Workers where appropriate, and prepared for GPU rendering in the viewer.
Clear boundary for remote dataIf you deliberately open a remote dataset or sample, your browser retrieves that resource. That is separate from opening a file already stored on your computer.
Practical workflows
From GIS files to robotics recordings.
WolkeViz is useful when the immediate question is simple: “What is in this file, and is the data usable?”
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Large COPC datasets
COPC stores LAZ point records in a spatial hierarchy. WolkeViz can use that index to begin viewing relevant portions instead of decoding an entire dataset first. A properly organized 10 GB COPC file can reach an initial view in under five seconds, depending on storage or network speed and the viewing device.
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ROS 2 LiDAR playback
Open a supported ROS 2 MCAP recording, select a PointCloud2 topic, and inspect LiDAR data frame by frame. This is useful for sensor checks, route review, debugging, and finding the exact moment needed for analysis.
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Curate a dataset from LiDAR video
Turn a long recording into a focused collection of point clouds. Extract one frame or multiple frames by start/end range, every n frames, or a requested number of equally spaced samples, then download the selected outputs.
Inspection tools
See it, check it, and take out what you need.
Measure distance and elevationCheck dimensions, clearances, separations, and vertical differences directly in the scene. Crop and exportDefine a 3D region of interest, inspect what falls inside it, and export a focused point cloud. Inspect PointCloud2 framesMove through recorded LiDAR frames and verify the selected ROS 2 topic without a separate conversion workflow. Review PCD filesQuickly inspect Point Cloud Data files commonly used in robotics and 3D processing pipelines.
Who it helps
Useful before the heavy workflow begins.
WolkeViz is built for robotics engineers, GIS and survey teams, researchers, educators, students, and developers who need a quick, understandable view of 3D data.
It does not try to replace every function in a full desktop point-cloud suite. It removes the friction from opening and verifying a file, sharing an accessible viewing tool, and extracting the subset needed for the next task.
Read the LiDAR and point-cloud guides →No installation required
Open your point cloud in WolkeViz.
Launch the viewer, choose a local file, and begin inspecting it in your browser.