PCD Viewer — Open Point Cloud Files Online
Open Point Cloud Library .pcd files from LiDAR, depth cameras and scanners, with colour where present.
Your PCD file is read and rendered entirely by your own browser. It is never uploaded to A23D, never stored, and never seen by anyone but you.
How to open a PCD file
No account, no plugin, no upload. Three steps and your model is on screen.
Drop in your file
Drag the .pcd onto the viewer, or click to browse. If the model references separate material or texture files, drop the whole folder or a .zip so everything resolves.
Inspect the scene
Orbit, pan and zoom to look around. The inspector lists every mesh in the hierarchy with its triangle count, and reports the bounding box so you can sanity-check scale.
Convert or capture
Save a PNG of the viewport, or download the model converted to GLB, OBJ, STL, PLY or USDZ — all without the file leaving your browser.
What is a PCD file?
PCD — Point Cloud Data — is the native format of the Point Cloud Library, the open-source project that underpins a great deal of robotics and 3D perception work. It was created because existing formats could not carry the per-point attributes that sensor processing needs.
A PCD file starts with a readable text header declaring exactly what each point contains: the FIELDS line names the attributes, with SIZE, TYPE and COUNT describing their layout, followed by WIDTH, HEIGHT and POINTS. A reader learns the structure from the header rather than assuming it.
That flexibility is the point. Beyond x, y and z a cloud may carry RGB colour, intensity, surface normals, curvature, per-point labels or descriptor vectors — whatever the sensor and the processing pipeline produced.
Three storage modes exist: ascii, binary and binary_compressed. ASCII is readable but very large; binary is what most capture software writes. The WIDTH and HEIGHT fields also distinguish an unorganised cloud from an organised one that preserves the sensor's grid layout.
PCD files come mainly from LiDAR units, depth cameras such as RealSense and Kinect, and robotics stacks built on ROS. This viewer renders the points with colour where the file provides it, sizing them relative to the extent of the cloud so scans in millimetres and metres both display sensibly.
PCD at a glance
- Extension
- .pcd
- Developer
- Point Cloud Library
- Encoding
- ASCII or binary
- Header
- Self-describing fields
- Attributes
- XYZ, RGB, intensity, normals
- Common source
- LiDAR, depth cameras, ROS
- Geometry
- Points, no faces
What this viewer supports
- ASCII and binary PCD
- XYZ positions with automatic point sizing
- Per-point RGB colour where present
- Point and bounding-box readout
- Export to GLB, PLY
- binary_compressed storage mode
- Intensity, labels and descriptor fields
PCD viewer FAQs
The questions we get asked most about opening PCD files.
Is my point cloud uploaded to a server?
No. The file is parsed and rendered entirely in your browser. Scan data is frequently sensitive — site surveys, autonomous-vehicle capture, industrial inspection — and none of it is transmitted or stored.
Why is my cloud rendering in grey?
Only clouds whose header declares an rgb field carry colour. Many LiDAR captures store intensity instead, which is not colour, so those render in a neutral tone.
My PCD will not load. What is wrong?
The most likely cause is binary_compressed storage, which is not supported here. Re-export as ascii or plain binary from PCL or your capture software and it will open.
How many points can it handle?
Files past 100 MB show a warning and anything over 300 MB is declined, since parsing a file that large would very likely exhaust the browser tab. Clouds of several million points navigate much more comfortably on a desktop than a phone.
Can I convert PCD to PLY?
Yes. Load the file and use Convert to, then choose PLY — the usual choice for moving a cloud into meshing software such as MeshLab or CloudCompare. GLB is also available.
Why does my cloud look like a solid object?
Very dense captures read as solid from a distance because the points overlap on screen. Zoom in and they separate. Point size is scaled from the bounding box, which suits most scans.
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All browser-based, all free, nothing uploaded.
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