LAS Point Cloud Viewer
LocalView LAS point clouds in 3D: color by elevation, intensity, classification or RGB, filter by class, clip box, profiles and volume estimates. Free, no upload.
Drag files here, or click to browse
Supports LAS
Choose fileThe built-in sample is a synthetic terrain (~12k points, generated in code — not survey data). Large files show progress while parsing and you can cancel anytime — cancelling keeps your current view. Hover any point to inspect its attributes (coordinates/intensity/class/RGB).
Uncompressed LAS point clouds, rendered locally. LAZ must be decompressed first.
What is it? LAS Point Cloud Viewer displays uncompressed LAS clouds in 3D: color by elevation, intensity, classification or RGB, with classic/spectral/mono color presets, an EDL depth-enhancement toggle, class-legend toggle filters (class names + standard colors — no code memorizing), an intensity range and a display-only clip box. An along-X elevation profile renders below the canvas, and the profile tool turns a line drawn on its top view into a cross-section with an approximate fill/cut/net volume. The 3D toolbar adds screenshot, distance/angle measurement, annotations, X/Y/Z section, share and embed. Metadata shows version, point format, sampled vs. total point counts and bounds — locally in your browser.
TL;DR: Inspect uncompressed LAS clouds in 3D: color by elevation, intensity, classification or RGB, filter by class, clip, measure, profile and estimate volume. Free, no upload.
How to use
- Open a .las file — it parses with progress and can be cancelled anytime (files over ~4 million points are downsampled for display); or click Load sample for a built-in synthetic terrain.
- Pick a color mode and preset (classic/spectral/mono) and point size; optionally switch on EDL depth enhancement.
- Toggle classes in the legend, narrow the intensity range, or set a clip box (X/Y/Z min·max) to focus the display.
- Use the 3D toolbar to measure distance/angle, annotate, sweep an X/Y/Z section, or take a screenshot.
- Read the along-X elevation profile, or draw a line on the profile tool's top view for a cross-section plus an approximate fill/cut/net volume.
FAQ
Is it private?
Yes — points are decoded and rendered locally.
Large clouds?
Files over ~4 million points are downsampled automatically for smooth display; metadata shows both sampled and total counts. For huge datasets, use the COPC Viewer.
What does the clip box change?
Display only — points outside the box are hidden from the view; the file is never modified (filtering/export belongs to the dedicated tools).
How is the volume estimate computed?
Bin-mean elevation × bin area along the line you draw on the top view, computed on the loaded points — an approximation, not a TIN surface; empty bins count as zero and their count is reported.
What is a LAS file?
LAS (ASPRS LAS 1.0–1.4) is the standard LiDAR point cloud exchange format: every point record carries XYZ, intensity, return number, classification and GPS time, and RGB color in the point formats that support it. LAZ is the compressed form of LAS — same structure, smaller files.
Can it open LAZ files?
No — this viewer reads uncompressed LAS only (LAZ must be decompressed first). Drop compressed .laz files into the LAZ Point Cloud Viewer; for huge clouds that need level-of-detail streaming instead of loading everything into memory, use the COPC Viewer.
Is it free? Do I need an account?
Yes — viewing, class filtering, measuring, profiling and volume estimates are free with a daily allowance and no sign-in. The file is parsed and rendered in your browser and never uploaded.
Examples
- Drop in a .las → 3D view with coloring
- Click Load sample → built-in synthetic terrain to try coloring/filters/profiles instantly
Supported formats
Limitations
- Uncompressed LAS 1.0–1.4 point records only (RGB is read for point formats 2/3/5/7/8/10); LAZ must be decompressed first.
- Files with more than ~4 million points are downsampled for display.
- The clip box filters the display only — no data modification or export.
- View only — no editing or export.
- Runs locally in your browser; nothing is uploaded.
- EDL is a single-pass screen-space approximation (Potree uses a two-pass post-process) — it enhances depth perception, it is not accurate lighting.
- The whole file stays in memory with no octree streaming — for level-of-detail streaming of huge clouds use the COPC Viewer.
Privacy
Privacy first: this tool runs entirely in your browser — your input and files never leave your device, and everything is cleared when you close the page.