Install
Tools
Data labeling & annotation
9 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| CVAT Open-source, self-hosted tool focused on image and video annotation for computer vision, with bounding boxes, polygons and tracking. | Open source + paid | Yes | Yes |
| Encord Multimodal data platform covering curation, AI-assisted annotation and model evaluation for vision, video, audio, text and medical imaging. | Quote only | No | No |
| Label Studio Open-source, self-hosted annotation tool supporting images, text, audio, video and time-series data through a configurable UI. | Open source + paid | Yes | Yes |
| Labelbox Enterprise annotation and data-curation platform (Annotate, Catalog) that has expanded into RLHF and agent-training data services. | Quote only | Yes | No |
| Scale AI Large-scale data-labeling and data-engine platform combining tooling, managed human workforces and RLHF services for AI training data. | Usage-based | Yes | No |
| Snorkel AI Programmatic-labeling platform (Snorkel Flow) that generates training labels from heuristic rules and weak supervision instead of manual annotation. | Quote only | No | No |
| SuperAnnotate Multimodal annotation and MLOps platform with a customizable editor, data curation and analytics for scaling AI training-data projects. | Quote only | No | No |
| Surge AI Human-data platform providing an expert labeling workforce and off-the-shelf RL environments for training and evaluating LLMs. | Quote only | No | No |
| V7 Annotation platform for images, video and documents, strong in medical imaging formats, with AI-assisted and auto-tracking labeling. | Quote only | No | No |