Annota AI vs CVAT

Annota AI combines image annotation, document OCR and review, and AI tools in a web or self-hosted workspace. For images, Magic Select creates an object mask for review and Magic Annotate locates selected labels in an image or dataset. Users can draw and edit bounding boxes and polygons, use segmentation masks, and export images and annotations in COCO format; PNG and JPEG are supported. Document datasets accept PDF, PNG, and JPEG files. OCR extracts content page by page for checking and correction, with exports as a Markdown ZIP or an Obsidian-compatible LLM Wiki workspace. Compatible agents connect through MCP remote servers using Streamable HTTP and OAuth, while organization permissions and shared credits apply. The maker says infrastructure and models run in EU regions without external AI-provider APIs. Plans range from Free at free to Pro at €21.96 a month and Team at €29.28 per member per month; Enterprise pricing is by quote. YOLO training remains private beta and requires separate approval.

CVAT turns images, video, 3D data and audio into labeled datasets for AI workflows. Its annotation tools include boxes, masks, polygons, keypoints, skeletons and object tracks, with additional listed types such as cuboids, ellipses and tags. Teams can review jobs through validation and acceptance stages and assess quality using ground truth, honeypots and consensus workflows. Storage connections include Amazon S3, Azure Blob Storage, Google Cloud Storage, compatible buckets and self-hosted storage. CVAT names SAM 2, SAM 3, Ultralytics, Hugging Face and custom models as labeling aids. It exports to more than 20 formats, including COCO, YOLO, KITTI, Cityscapes and Pascal VOC, and offers API, SDK and CLI automation. Deployment can be managed in the cloud or self-hosted, including on-premises and air-gapped options. Free plans are available; online paid plans start at $23/user/mo billed annually. CVAT lists security controls but says it does not hold ISO 27001 or SOC 2 certifications.