What commands does the CloudCompare CLI support?

The CloudCompare CLI supports 41 commands across 9 groups, including project management, session control, point cloud operations, mesh operations, and export functionalities.

What are the prerequisites for using this skill?

You need Python 3.10 or higher and CloudCompare installed on your system. Installation instructions are provided for Linux, macOS, and Windows.

Can I automate tasks with this skill?

Yes, the command-line interface allows you to script and automate repetitive tasks, making it ideal for batch processing of 3D data.

Is this skill suitable for beginners?

This skill is geared towards intermediate users familiar with command-line interfaces and 3D data processing. A basic understanding of CloudCompare is beneficial.

What output formats are supported for exports?

The skill supports multiple output formats including LAS, LAZ, PLY, PCD, OBJ, STL, and E57 for exporting processed data.

CloudCompare CLI

Name: CloudCompare CLI
Availability: InStock
Author: hkuds

Free

Streamline your 3D point cloud processing with CLI commands.

by hkuds46.9k stars on hkuds/cli-anything

2 views

Updated Aug 3, 2026

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Free · Opens the source repo

What CloudCompare CLI does

The CloudCompare CLI skill provides a command-line interface for the open-source 3D point cloud and mesh processing software, CloudCompare. This skill is designed for developers and data scientists who need an efficient way to manage and process large datasets of 3D point clouds and meshes without relying on a graphical interface. With support for 41 commands across nine distinct groups, users can perform a wide range of operations, including project management, session control, and various point cloud and mesh operations.

Users can create and manage projects, save session states, and manipulate point clouds through commands such as subsampling, filtering, and transforming. The skill also includes functionalities for computing distances between points and exporting data in multiple formats including LAS, PLY, OBJ, and STL. The interactive REPL feature allows for real-time command execution, making it suitable for iterative workflows.

This skill is particularly beneficial for those who work in fields such as geospatial analysis, surveying, and computer graphics, where efficient data handling and processing are crucial. By leveraging the CLI, users can automate repetitive tasks, integrate CloudCompare into larger workflows, and utilize the JSON output for further processing or analysis by other tools or agents.

To get started, users need to install Python 3.10 or higher and have CloudCompare installed on their system. The skill is compatible with various operating systems, including Linux, macOS, and Windows, ensuring accessibility for a wide range of users.

When to use it

Use this skill when you need to automate or script the processing of 3D data using CloudCompare's capabilities.

When not to use it

This skill may not be suitable for users who prefer graphical interfaces or have very simple processing needs that do not require command-line operations.

What you can build with it

Automating Data Processing

Use the CLI to automate the subsampling and filtering of large point cloud datasets in your geospatial projects.

Project Management

Create and manage projects directly from the command line, allowing for efficient organization of your 3D data.

Batch Exporting

Export multiple point clouds and meshes in various formats with a single command, streamlining your workflow.

How to install CloudCompare CLI

View source

1. Install with the skills CLI

npx skills add hkuds/cli-anything/skills --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by hkuds

cli-anything-cloudcompare

Agent-friendly command-line harness for CloudCompare — the open-source 3D point cloud and mesh processing software.

41 commands across 9 groups.

Installation

pip install cli-anything-cloudcompare

Prerequisites:

Python 3.10+
CloudCompare installed on your system
- Linux (Flatpak): flatpak install flathub org.cloudcompare.CloudCompare
- macOS/Windows: download from https://cloudcompare.org

Tested with: CloudCompare 2.13.2 (Flatpak, Linux)

Global Options

These options must be placed before the subcommand:

cli-anything-cloudcompare [--project FILE] [--json] COMMAND [ARGS]...

Option	Description
`-p, --project TEXT`	Path to project JSON file
`--json`	Output results as JSON (for agent consumption)

Command Groups

1. project — Project Management (3 commands)

project new

Create a new empty project file.

# Create a project with default name
cli-anything-cloudcompare project new -o myproject.json

# Create a project with a custom name
cli-anything-cloudcompare project new -o myproject.json -n "Bridge Survey 2024"

# JSON output for agents
cli-anything-cloudcompare --json project new -o myproject.json

Options: -o/--output TEXT (required), -n/--name TEXT

project info

Show project info and loaded entities.

cli-anything-cloudcompare --project myproject.json project info

# JSON output
cli-anything-cloudcompare --project myproject.json --json project info

project status

Show quick project status (cloud count, mesh count, last operation).

cli-anything-cloudcompare --project myproject.json project status

2. session — Session Management (4 commands)

session save

Save the current project state to disk.

cli-anything-cloudcompare --project myproject.json session save

session history

Show recent operation history.

# Show last 10 operations (default)
cli-anything-cloudcompare --project myproject.json session history

# Show last 5 operations
cli-anything-cloudcompare --project myproject.json session history -n 5

Options: -n/--last INTEGER

session set-format

Update the default export format for future operations.

# Set default cloud export to LAS
cli-anything-cloudcompare --project myproject.json session set-format --cloud-fmt LAS --cloud-ext las

# Set default mesh export to OBJ
cli-anything-cloudcompare --project myproject.json session set-format --mesh-fmt OBJ --mesh-ext obj

# Set both cloud and mesh defaults
cli-anything-cloudcompare --project myproject.json session set-format \
  --cloud-fmt PLY --cloud-ext ply \
  --mesh-fmt STL --mesh-ext stl

Options: --cloud-fmt TEXT, --cloud-ext TEXT, --mesh-fmt TEXT, --mesh-ext TEXT

session undo

Remove the last operation from history (soft undo — does not delete output files).

cli-anything-cloudcompare --project myproject.json session undo

3. cloud — Point Cloud Operations (21 commands)

All cloud commands take CLOUD_INDEX (0-based integer from cloud list) and most accept --add-to-project to register the output back into the project.

cloud add

Add a point cloud file to the project.

# Add a LAS file
cli-anything-cloudcompare --project myproject.json cloud add /data/scan.las

# Add with a label
cli-anything-cloudcompare --project myproject.json cloud add /data/scan.las -l "roof scan"

Options: -l/--label TEXT

cloud list

List all clouds currently in the project.

cli-anything-cloudcompare --project myproject.json cloud list

# JSON output for parsing indices
cli-anything-cloudcompare --project myproject.json --json cloud list

cloud convert

Convert a cloud from one format to another (format determined by file extension).

# LAS → PLY
cli-anything-cloudcompare cloud convert /data/scan.las /data/scan.ply

# PCD → LAS
cli-anything-cloudcompare cloud convert /data/cloud.pcd /data/cloud.las

cloud subsample

Reduce the number of points using RANDOM, SPATIAL, or OCTREE method.

# Random: keep 100 000 points
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_random.las -m random -n 100000

# Spatial: minimum distance 0.05 m between points
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_spatial.las -m spatial -n 0.05

# Octree: level 8
cli-anything-cloudcompare --project myproject.json cloud subsample 0 \
  -o /data/sub_octree.las -m octree -n 8 --add-to-project

Options: -o/--output TEXT (required), -m/--method [random|spatial|octree], -n/--param FLOAT, --add-to-project

cloud crop

Crop a cloud to an axis-aligned bounding box.

# Keep points inside the box
cli-anything-cloudcompare --project myproject.json cloud crop 0 \
  -o /data/cropped.las \
  --xmin 0.0 --ymin 0.0 --zmin 0.0 \
  --xmax 10.0 --ymax 10.0 --zmax 5.0

# Keep points OUTSIDE the box
cli-anything-cloudcompare --project myproject.json cloud crop 0 \
  -o /data/exterior.las \
  --xmin 0.0 --ymin 0.0 --zmin 0.0 \
  --xmax 10.0 --ymax 10.0 --zmax 5.0 --outside

Options: -o/--output TEXT (required), --xmin/ymin/zmin/xmax/ymax/zmax FLOAT (all required), --outside, --add-to-project

cloud normals

Compute surface normals via the octree method.

# Compute normals at octree level 6
cli-anything-cloudcompare --project myproject.json cloud normals 0 \
  -o /data/with_normals.ply --level 6

# Compute normals oriented toward +Z
cli-anything-cloudcompare --project myproject.json cloud normals 0 \
  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project

cloud invert-normals

Flip all normal vectors in the cloud.

cli-anything-cloudcompare --project myproject.json cloud invert-normals 0 \
  -o /data/flipped_normals.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud filter-sor

Statistical Outlier Removal — removes isolated noise points.

# Default parameters (k=6 neighbours, 1.0 std ratio)
cli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \
  -o /data/denoised.las

# Custom parameters
cli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \
  -o /data/denoised.las --nb-points 12 --std-ratio 2.0 --add-to-project

Options: -o/--output TEXT (required), --nb-points INTEGER, --std-ratio FLOAT, --add-to-project

cloud noise-filter

Remove noisy points using the PCL noise filter (KNN or radius mode).

# KNN mode (default)
cli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \
  -o /data/clean.las --knn 8 --noisiness 1.0

# Radius mode
cli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \
  -o /data/clean.las --radius 0.1 --use-radius --add-to-project

Options: -o/--output TEXT (required), --knn INTEGER, --noisiness FLOAT, --radius FLOAT, --use-radius, --absolute, --add-to-project

cloud filter-csf

Ground filtering using the Cloth Simulation Filter (CSF) algorithm. Separates ground from off-ground points (buildings, vegetation).

# Extract ground only — mixed terrain
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/ground.las --scene relief

# Split ground + off-ground — urban scene
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/ground.las \
  --offground /data/buildings.las \
  --scene flat --cloth-resolution 0.5 --class-threshold 0.3

# Steep forested slope with slope post-processing
cli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \
  --ground /data/terrain.las --scene slope --proc-slope --add-to-project

Options: -g/--ground TEXT (required), -u/--offground TEXT, --scene [slope|relief|flat], --cloth-resolution FLOAT, --class-threshold FLOAT, --max-iteration INTEGER, --proc-slope, --add-to-project

cloud filter-sf

Filter a cloud by scalar field value range (keep points where SF ∈ [min, max]).

# Keep points with SF value between 10 and 50
cli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \
  -o /data/filtered.las --min 10.0 --max 50.0

# Filter using a specific SF index
cli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \
  -o /data/filtered.las --min 0.0 --max 1.5 --sf-index 2 --add-to-project

Options: -o/--output TEXT (required), --min FLOAT (required), --max FLOAT (required), --sf-index INTEGER, --add-to-project

cloud sf-from-coord

Convert a coordinate axis (X/Y/Z) to a scalar field. Commonly used to create a height (Z) scalar field.

# Create Z scalar field (height)
cli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \
  -o /data/with_z_sf.las --dim z --add-to-project

# Create X scalar field with a specific active index
cli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \
  -o /data/with_x_sf.las --dim x --sf-index 0

Options: -o/--output TEXT (required), --dim [x|y|z] (default: z), --sf-index INTEGER, --add-to-project

cloud sf-filter-z

Convenience command: convert Z → scalar field and filter by height range in one step.

# Extract points between z=1.0 m and z=2.5 m
cli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \
  -o /data/slice.las --min 1.0 --max 2.5 --add-to-project

# Only apply upper bound
cli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \
  -o /data/below_5m.las --max 5.0

Options: -o/--output TEXT (required), --min FLOAT, --max FLOAT, --add-to-project

cloud sf-to-rgb

Convert the active scalar field to RGB colours.

cli-anything-cloudcompare --project myproject.json cloud sf-to-rgb 0 \
  -o /data/coloured.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud rgb-to-sf

Convert RGB colours to a scalar field (luminance value).

cli-anything-cloudcompare --project myproject.json cloud rgb-to-sf 0 \
  -o /data/luminance.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud curvature

Compute curvature scalar field (MEAN or GAUSS).

# Mean curvature with radius 0.5 m
cli-anything-cloudcompare --project myproject.json cloud curvature 0 \
  -o /data/curvature.las --type mean --radius 0.5

# Gaussian curvature
cli-anything-cloudcompare --project myproject.json cloud curvature 0 \
  -o /data/curvature.las --type gauss --radius 0.5 --add-to-project

Options: -o/--output TEXT (required), --type [mean|gauss], -r/--radius FLOAT, --add-to-project

cloud roughness

Compute roughness scalar field (deviation from local best-fit plane).

cli-anything-cloudcompare --project myproject.json cloud roughness 0 \
  -o /data/roughness.las --radius 0.2 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --add-to-project

cloud density

Compute point density scalar field.

# KNN density
cli-anything-cloudcompare --project myproject.json cloud density 0 \
  -o /data/density.las --type knn --radius 0.5

# Surface density
cli-anything-cloudcompare --project myproject.json cloud density 0 \
  -o /data/density.las --type surface --radius 1.0 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --type [knn|surface|volume], --add-to-project

cloud segment-cc

Segment cloud into connected components (clusters). Each component is saved as a separate file.

# Segment with octree level 8, minimum 100 points per component
cli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \
  -o /data/components/ --octree-level 8 --min-points 100

# Save components as PLY files
cli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \
  -o /data/components/ --octree-level 6 --min-points 50 --fmt ply

Options: -o/--output-dir TEXT (required), --octree-level INTEGER, --min-points INTEGER, --fmt TEXT

cloud merge

Merge all clouds in the project into a single cloud.

cli-anything-cloudcompare --project myproject.json cloud merge \
  -o /data/merged.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud mesh-delaunay

Build a 2.5-D Delaunay triangulation mesh from a cloud.

# Basic Delaunay mesh
cli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \
  -o /data/surface.obj

# Best-fit plane with max edge length limit
cli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \
  -o /data/surface.ply --best-fit --max-edge-length 2.0 --add-to-project

Options: -o/--output TEXT (required), --best-fit, --max-edge-length FLOAT, --add-to-project

4. mesh — Mesh Operations (3 commands)

mesh add

Add a mesh file to the project.

cli-anything-cloudcompare --project myproject.json mesh add /data/model.obj

# Add with label
cli-anything-cloudcompare --project myproject.json mesh add /data/model.ply -l "building model"

Options: -l/--label TEXT

mesh list

List all meshes in the project.

cli-anything-cloudcompare --project myproject.json mesh list

# JSON output
cli-anything-cloudcompare --project myproject.json --json mesh list

mesh sample

Sample a point cloud from a mesh surface.

# Sample 50 000 points from mesh at index 0
cli-anything-cloudcompare --project myproject.json mesh sample 0 \
  -o /data/sampled.las -n 50000

# Add sampled cloud back to project
cli-anything-cloudcompare --project myproject.json mesh sample 0 \
  -o /data/sampled.las -n 100000 --add-to-project

Options: -o/--output TEXT (required), -n/--count INTEGER, --add-to-project

5. distance — Distance Computation (2 commands)

distance c2c

Compute cloud-to-cloud distances. Adds a distance scalar field to the compared cloud.

# Compare cloud 1 to reference cloud 0
cli-anything-cloudcompare --project myproject.json distance c2c \
  --compare 1 --reference 0 -o /data/distances.las

# Split into X/Y/Z components at octree level 8
cli-anything-cloudcompare --project myproject.json distance c2c \
  --compare 1 --reference 0 -o /data/distances.las \
  --split-xyz --octree-level 8 --add-to-project

Options: --compare TEXT (required), --reference TEXT (required), -o/--output TEXT (required), --split-xyz, --octree-level INTEGER, --add-to-project

distance c2m

Compute cloud-to-mesh distances. Adds a distance scalar field to the cloud.

# Basic cloud-to-mesh distance
cli-anything-cloudcompare --project myproject.json distance c2m \
  --cloud 0 --mesh 0 -o /data/c2m_dist.las

# With flipped normals and unsigned distances
cli-anything-cloudcompare --project myproject.json distance c2m \
  --cloud 0 --mesh 0 -o /data/c2m_dist.las \
  --flip-normals --unsigned --add-to-project

Options: --cloud INTEGER (required), --mesh INTEGER (required), -o/--output TEXT (required), --flip-normals, --unsigned, --add-to-project

6. transform — Transformations and Registration (2 commands)

transform apply

Apply a 4×4 rigid-body transformation matrix to a cloud.

# Apply a transformation matrix from file
cli-anything-cloudcompare --project myproject.json transform apply 0 \
  -o /data/transformed.las -m /data/matrix.txt

# Apply the inverse transformation
cli-anything-cloudcompare --project myproject.json transform apply 0 \
  -o /data/transformed.las -m /data/matrix.txt --inverse --add-to-project

The matrix file must contain 4 rows of 4 space-separated values:

Options: -o/--output TEXT (required), -m/--matrix TEXT (required), --inverse, --add-to-project

transform icp

Run ICP (Iterative Closest Point) registration to align one cloud to another.

# Basic ICP alignment
cli-anything-cloudcompare --project myproject.json transform icp \
  --aligned 1 --reference 0 -o /data/aligned.las

# ICP with overlap and iteration control
cli-anything-cloudcompare --project myproject.json transform icp \
  --aligned 1 --reference 0 -o /data/aligned.las \
  --max-iter 50 --overlap 80 --min-error-diff 1e-6 --add-to-project

Options: --aligned INTEGER (required), --reference INTEGER (required), -o/--output TEXT (required), --max-iter INTEGER, --min-error-diff FLOAT, --overlap FLOAT, --add-to-project

7. export — Export Clouds and Meshes (4 commands)

export formats

List all available export format presets.

cli-anything-cloudcompare export formats

# JSON output
cli-anything-cloudcompare --json export formats

export cloud

Export a cloud to a target format.

# Export cloud at index 0 as LAS
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las

# Export as PLY using preset
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.ply -f ply

# Overwrite if file exists
cli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las -f las --overwrite

Supported presets: las, laz, ply, pcd, xyz, asc, csv, bin, e57

Options: -f/--preset TEXT, --overwrite

export mesh

Export a mesh to a target format.

# Export mesh at index 0 as OBJ
cli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.obj

# Export as STL
cli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.stl -f stl --overwrite

Supported presets: obj, stl, ply, bin

Options: -f/--preset TEXT, --overwrite

export batch

Batch export all project clouds to a directory.

# Export all clouds as LAS
cli-anything-cloudcompare --project myproject.json export batch \
  -d /data/exports/ -f las

# Overwrite existing files
cli-anything-cloudcompare --project myproject.json export batch \
  -d /data/exports/ -f ply --overwrite

Options: -d/--output-dir TEXT (required), -f/--preset TEXT, --overwrite

8. info — Installation Info (1 command)

Show CloudCompare installation path and version.

cli-anything-cloudcompare info

# JSON output
cli-anything-cloudcompare --json info

9. repl — Interactive REPL (1 command)

Start the interactive REPL session with history and undo support.

# Start REPL without a project
cli-anything-cloudcompare repl

# Start REPL with an existing project
cli-anything-cloudcompare repl -p myproject.json

# Equivalent: run without subcommand
cli-anything-cloudcompare --project myproject.json

Options: -p/--project TEXT

Inside the REPL, type help to list available commands or session undo to revert the last operation.

Supported File Formats

Format	Extension	Read	Write	Notes
LAS	`.las`	✓	✓	LiDAR standard, supports intensity/RGB
LAZ	`.laz`	✓	✓	Compressed LAS
PLY	`.ply`	✓	✓	ASCII or binary
PCD	`.pcd`	✓	✓	PCL format
XYZ	`.xyz`	✓	✓	Plain text XYZ
ASC	`.asc`	✓	✓	ASCII with header
CSV	`.csv`	✓	✓	Comma-separated
E57	`.e57`	✓	✓	ASTM scanner exchange
BIN	`.bin`	✓	✓	CloudCompare native binary
OBJ	`.obj`	✓	✓	Mesh (Wavefront)
STL	`.stl`	✓	✓	Mesh (3D printing)

Typical Workflows

Workflow 1: LiDAR Pre-processing Pipeline

P=myproject.json

# 1. Create project and load scan
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/scan.las
cli-anything-cloudcompare --project $P cloud list  # note index → 0

# 2. Denoise
cli-anything-cloudcompare --project $P cloud filter-sor 0 \
  -o /data/denoised.las --nb-points 6 --std-ratio 1.0 --add-to-project

# 3. Subsample to 5 cm grid
cli-anything-cloudcompare --project $P cloud subsample 1 \
  -o /data/subsampled.las -m spatial -n 0.05 --add-to-project

# 4. Extract ground plane (CSF)
cli-anything-cloudcompare --project $P cloud filter-csf 2 \
  --ground /data/ground.las --offground /data/objects.las \
  --scene relief --add-to-project

# 5. Export result
cli-anything-cloudcompare --project $P export cloud 3 /data/ground_final.las -f las --overwrite

Workflow 2: Change Detection Between Two Scans

P=compare.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/scan_2023.las   # index 0
cli-anything-cloudcompare --project $P cloud add /data/scan_2024.las   # index 1

# ICP alignment (align 2024 to 2023)
cli-anything-cloudcompare --project $P transform icp \
  --aligned 1 --reference 0 -o /data/aligned_2024.las \
  --overlap 90 --add-to-project   # index 2

# Cloud-to-cloud distance
cli-anything-cloudcompare --project $P distance c2c \
  --compare 2 --reference 0 -o /data/change_map.las --add-to-project

# Export as LAS with distance scalar field
cli-anything-cloudcompare --project $P export cloud 3 /data/change_map_final.las --overwrite

Workflow 3: Height Slice Extraction

P=slice.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/building.las

# Extract points at 2–3 m height (floor level)
cli-anything-cloudcompare --project $P cloud sf-filter-z 0 \
  -o /data/floor_slice.las --min 2.0 --max 3.0 --add-to-project

# Export
cli-anything-cloudcompare --project $P export cloud 1 /data/floor_slice_out.las --overwrite

Workflow 4: Surface Reconstruction

P=mesh.json
cli-anything-cloudcompare project new -o $P
cli-anything-cloudcompare --project $P cloud add /data/terrain.las

# Compute normals
cli-anything-cloudcompare --project $P cloud normals 0 \
  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project

# Delaunay mesh
cli-anything-cloudcompare --project $P cloud mesh-delaunay 1 \
  -o /data/terrain_mesh.obj --max-edge-length 1.0 --add-to-project

# Export mesh
cli-anything-cloudcompare --project $P export mesh 0 /data/terrain_mesh_final.obj --overwrite

Error Handling

Exit Code	Meaning
`0`	Success
`1`	General error (see stderr for details)
`2`	Invalid arguments

Common errors:

# CloudCompare not found
# → Install CloudCompare; check `cli-anything-cloudcompare info`

# Index out of range
# → Run `cloud list` or `mesh list` to confirm valid indices

# File already exists (no --overwrite)
# → Add --overwrite flag to export commands

# fcntl not available (Windows)
# → File locking is skipped automatically; project save still works

For AI Agents

Always use --json flag for parseable output
Check return codes — 0 for success, non-zero for errors
Parse stderr for error messages on failure
Use absolute paths for all file arguments
Verify output files exist after export operations
Chain with --add-to-project to build multi-step pipelines without re-loading files
Use cloud list --json to discover valid cloud indices before each operation
Use export formats --json to discover available format presets

Version

Component	Version
cli-anything-cloudcompare	1.0.0
CloudCompare (tested)	2.13.2
Python (minimum)	3.10

Frequently asked questions about CloudCompare CLI

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