LiDAR file viewer
A LAZ file is a losslessly compressed LAS point cloud. WolkeViz opens supported LAZ files locally in the browser so you can verify geometry, attributes, colouring, classifications, and scale without uploading the file or installing desktop point-cloud software.
At a glance
LAZ preserves LAS point records while reducing storage and transfer size through lossless compression. Coordinates, intensity, return information, classifications, GPS time, and other dimensions depend on the point format in the file.
Confirm point count, bounds, coordinate scale, colour or intensity availability, and classification values before starting a larger processing workflow.
WolkeViz reads and decodes a selected LAZ file on your computer. The local file is not uploaded to a conversion service, and no account is required to inspect it.
Practical workflow
Technical notes
LAS and LAZ are binary formats with a header that describes the point-data layout, scale, offset, and point count. Integer X, Y, and Z values are converted to real-world coordinates with the scale and offset recorded in that header; a viewer should not treat the raw integers as map units.
LAZ compression changes how point records are stored, not the meaning of the point attributes. WolkeViz's current conventional LAS/LAZ decoder supports LAS 1.0–1.3 and point formats 0–3; newer LAS 1.4 point formats should fail explicitly rather than appear partially decoded. COPC uses a separate scalable reader.
A quick viewer is useful for validation, not a substitute for documenting the coordinate reference system or quality-control decisions. Check project metadata and deliverables when coordinate reference, vertical datum, or survey accuracy matters.
Questions and answers
Yes. A browser-based viewer such as WolkeViz can be a quick first step for supported LAZ files when you need to see and verify a scan without installing a desktop application.
No. LAZ compression is designed to be lossless for the point data, so decompression recovers the stored point records. The quality of the survey itself is separate from the file compression.
Check the coordinate scale, offset, axis orientation, units, and whether the viewer is showing height relative to the dataset bounds. The coordinate reference system may also be documented outside the point cloud.
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