> For the complete documentation index, see [llms.txt](https://docs.dietrichs.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dietrichs.com/tutorials/tutorials-en/learning-the-basics/exploration-journey/pointclouds-1.md).

# Pointclouds

A **point cloud** is a collection of data points in 3D space, typically generated by 3D scanners, LiDAR, or photogrammetry. Each point represents a precise coordinate (X, Y, Z) and may include additional data such as color or intensity. Point clouds are widely used in architecture, engineering, construction, and fabrication for:

* **As-built modeling** (capturing existing structures)
* **Quality control & verification**
* **Reverse engineering**
* **Clash detection & renovation planning**

Dietrich's support **point cloud file format .E57** (open, interoperable format)