Converts point clouds to point or multipoint geometries, optionally retaining attribute and component values.

Jump to Configuration

Typical Uses

  • Converting point cloud geometry type for storage in formats that do not support point clouds
  • Performing spatial or other operations between point cloud points and other data types such as vectors

How does it work?

The PointCloudToPointCoercer receives point cloud features and converts their individual points into either point or multipoint geometry.

Attributes from the point cloud feature may be optionally retained.

Individual component values may also be retained. When converting to individual points, they may be preserved as either attributes or measures. When converting to multipoint, they may be preserved as measures only, and so string components are not supported in this case.

Position, ordering, or area may be used to determine how points are allocated when producing more than one multipoint output feature.

Point or multipoint geometries are output, and the original point cloud is discarded.


Usage Notes

  • The transformer cannot detect the names or existence of any given component on the input point cloud feature. A PointCloudPropertyExtractor transformer may be used to check for the existence of components.
  • Point clouds are processed very efficiently in FME. Coercing them to points with this transformer can greatly impact performance negatively. Many transformers support point cloud geometry, and it is recommended to look for workflows without coercing first.

Choosing a Point Cloud Transformer

FME has a selection of transformers for working specifically with point cloud data.

For information on point cloud geometry and properties, see Point Clouds (IFMEPointCloud).


Input Ports

Output Ports


Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.


Processing Behavior


Feature Holding


Dependencies None
Aliases PointCloudCoercer

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for all results about the PointCloudToPointCoercer on the FME Community.


Examples may contain information licensed under the Open Government Licence – Vancouver and/or the Open Government Licence – Canada.

Keywords: point "point cloud" cloud PointCloud LiDAR sonar