Best Tools for Labeling 3D Files in 2026

Choosing the best tool for labeling 3D files is contingent upon various factors, including the type of 3D data, the kind of labeling required, the purpose, project scale, budget, resources, and the needed output format. For AI and machine learning training data, platforms like Supervisely, Encord, Scale AI, Labelbox, and V7 Data are highly recommended, with Encord notably suited for large-scale 3D perception workflows. CVAT is the preferred open-source option, while CloudCompare and Blender are ideal for specialized or manual workflows. For tasks centered on documentation and design review, traditional CAD tools and 3D viewers are most effective. Key considerations include automation, scalability, collaboration, and integration with machine learning pipelines. It is crucial to clearly define data type, annotation needs, project scale, and objectives to select the appropriate tool.