Trusted by Survey Professionals Worldwide

“The powerful classification is the best feature. It saves a lot of time and money compared to manual classification or expensive solutions.”

Emilio Segovia

Emilio Segovia
Head of Operations, PDM 4 Cero

“We saved a lot of time classifying our point clouds. Not only classified data, but also DEM, DSM, DXF exports we could use directly in our analysis software.”

Marcel Aertssen

Marcel Aertssen
Survey Analyst, SkySense UAV Solutions

“Excellent software. Processing is extremely fast and highly accurate. Exemplary DSM and DTM outputs.”

Theoharis Papadiamantis

Theoharis Papadiamantis
Surveying Engineer, Geodimetro

How It Works

From raw LAS file to classified point cloud in three simple steps

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1. Upload

Drag and drop your LAS or LAZ file. No software installation, no complex setup. Just upload and go.

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2. Classify

Our AI analyzes your point cloud and automatically classifies it into 12+ categories. No parameters to tune.

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3. Export

Download your classified point cloud, DTM, DSM, or contours. Ready for CAD and GIS workflows.

12+ Classification Categories

Our AI classifies your point cloud into standard LAS classes with a single click

Ground
Vegetation
Building
Water
Wire
Tower
Roof Object
Bridge Deck
Vehicle
Pole
Fence / Wall
Hedge

Ground Classification That Handles Any Terrain

Our AI separates ground points from vegetation, buildings, and noise without manual adjustment. Unlike traditional software that requires careful parameter tuning for steep terrain, Lidarvisor handles flat areas and mountain slopes equally well, right out of the box.

Lidarvisor - Quarry with Vegetation

Before: Raw point cloud with vegetation

Lidarvisor - Quarry with Filtered Vegetation

After: Clean ground classification

Classification Power for Key Industries

Vegetation Classification

Automatically separate low, medium, and high vegetation from your point cloud. Perfect for forestry analysis, vegetation management, and environmental monitoring.

Lidarvisor - Classified Point Cloud

Building Classification

Classify building points and roof objects with high accuracy. Our AI handles dense urban environments and distinguishes structures from vegetation and adjacent terrain.

Wire & Infrastructure Classification

Classify wires, towers, and poles accurately for utility corridor analysis. Detect all infrastructure elements without manual parameter tuning.

Lidarvisor - Vegetation Encroachment
Lidarvisor - Water Body Segmentation

Water & Noise Classification

Identify water bodies and filter noise points caused by birds, atmospheric interference, and sensor artifacts. Get cleaner classified data for accurate analysis.

Frequently Asked Questions

Lidarvisor uses deep learning models trained on diverse aerial LiDAR datasets. Our classification achieves high accuracy across terrain types, from flat urban areas to steep forested slopes. The AI handles edge cases that trip up rule-based systems, and the results are reliable on the first try without manual adjustment.

Yes. Unlike traditional classification software that requires careful parameter tuning for steep slopes, our AI was trained on diverse terrain types and handles steep terrain automatically. No need to adjust slope thresholds or filtering parameters.

Upload your point clouds in LAS or LAZ format (compressed LAS). These are the industry-standard formats for LiDAR data. Export your classified results as LAS, or generate DTM/DSM rasters, contours in DXF/SHP/GeoJSON formats.

Processing time depends on file size and point density, but most datasets are classified within 5-15 minutes. Large projects may take longer. You’ll receive an email notification when processing is complete.

No. Lidarvisor is 100% web-based. Just open your browser, upload your file, and start processing. No plugins, no installations, no configuration. Works on any modern browser.

Ready to Simplify Your Classification Workflow?

Start with 10 Ha of free classification. No credit card required. See results in minutes.

Questions? Contact our team or check our pricing plans