LiDAR data is becoming larger, more complex, and more important across industries ranging from surveying and construction to environmental monitoring and infrastructure management. Yet many workflows still depend on heavyweight desktop software, large downloads, and specialized hardware.
OpenLiDARViewer was built to take a different approach.
Massive Point Clouds. Instantly Accessible.
OpenLiDARViewer is a browser-native LiDAR platform designed to open, stream, inspect, measure, and analyze point cloud data directly from a web browser.
There is no software installation, no licensing cost, and no complicated setup process. Users can work with cloud-hosted datasets, native COPC streams, and mobile LiDAR scans from virtually any modern device.
Key Advantages
- Browser-native architecture
- Local-first workflows
- Native COPC streaming support
- Mobile-ready interface
- Open-source development model
- Real-time visualization and measurement tools
Whether you're working from a desktop workstation, laptop, tablet, or mobile device, OpenLiDARViewer makes LiDAR data immediately accessible.
Built for Every Industry
Urban Planning & Smart Cities
OpenLiDARViewer helps planners and GIS professionals visualize and analyze urban environments without requiring complex desktop deployments.
Typical applications include:
- 3D city modeling
- Land use analysis
- Infrastructure planning
Infrastructure & Construction
Construction and engineering teams can inspect and validate project progress directly from point cloud datasets.
Common workflows include:
- As-built verification
- Corridor mapping
- Progress monitoring
Forestry & Environmental Monitoring
Environmental professionals can rapidly explore vegetation and terrain datasets.
Use cases include:
- Forest inventory
- Canopy inspection
- Environmental monitoring
Mining & Quarrying
Large-scale terrain and excavation projects benefit from browser-native access to LiDAR data.
Applications include:
- Volume calculations
- Stockpile monitoring
- Site mapping
Utilities & Energy
Utility operators can inspect critical assets and right-of-way corridors using high-density point clouds.
Examples include:
- Line clearance assessment
- Asset inspection
- Right-of-way mapping
Disaster Response & Risk Management
Fast access to terrain and infrastructure data can improve situational awareness during emergency events.
Use cases include:
- Damage assessment
- Terrain analysis
- Rapid response planning
From Data to Decision in Minutes
OpenLiDARViewer streamlines the LiDAR workflow into a simple process:
1. Connect
Connect to local datasets or cloud-hosted sources.
2. Stream
Open native COPC and LAZ datasets with progressive loading and adaptive streaming.
3. Visualize
Explore point clouds with high-performance rendering, adaptive level-of-detail management, and browser-native navigation.
4. Measure
Extract accurate measurements directly from the dataset using 3D-aware measurement tools.
5. Export & Share
Generate reports, export imagery, and create portable deliverables for clients and stakeholders.
Why OpenLiDARViewer?
Many traditional LiDAR workflows require specialized software, local preprocessing, and significant hardware resources.
OpenLiDARViewer focuses on simplicity and accessibility while maintaining professional capabilities.
OpenLiDARViewer Benefits
✅ Browser-native deployment
✅ No installation required
✅ Native COPC streaming
✅ Local-first data workflows
✅ Mobile-ready experience
✅ Open-source platform
✅ Adaptive LOD rendering
✅ Real-time measurements
✅ Cross-platform accessibility
Open Source. Community Driven.
OpenLiDARViewer is developed as an open-source project with a focus on transparency, accessibility, and practical real-world workflows.
The project continues to evolve with new visualization capabilities, survey tools, reporting workflows, and performance improvements.
Try It Today
🌐 Live Demo
lidar.aurtech.mx
💻 GitHub Repository
github.com/Aurtechmx/openlidarviewer
OpenLiDARViewer is helping make LiDAR visualization more accessible, more portable, and more efficient for professionals around the world. Whether you're working with infrastructure, terrain, forestry, utilities, or city-scale datasets, the goal remains the same: faster access to better spatial insights.