Best Tools for Labeling 3D Files in 2026

In the blog post "Best Tools for Labeling 3D Files in 2026," Dr. Andreas Heindl discusses various tools available for labeling 3D data files, emphasizing their suitability based on specific use cases and requirements. The article categorizes tools into those suited for AI/machine learning training data, 3D model annotation and documentation, and medical/volumetric data like CT and MRI scans. It highlights platforms like Supervisely and Encord for large-scale AI projects, while CVAT and CloudCompare are recommended for more budget-conscious or manual workflows. For tasks requiring human-readable annotations such as design reviews, traditional CAD tools and modern 3D viewers are preferred. Key factors to consider when selecting a labeling tool include the type of 3D data, annotation requirements, project scale, budget, and the desired output format. The article concludes by advising users to clearly define their needs and goals before choosing a tool to ensure optimal results.

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