Annota AI vs Labellerr

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.

Labellerr is a data labeling and annotation platform for AI and machine-learning teams preparing training data. Projects can use images, videos, PDFs, text, and audio. Annotation options include bounding boxes, polygons, polylines, keypoints, dots, classification, segmentation, and object detection. Automated labeling includes prompt-based and model-assisted methods, plus active learning; the company also states native support for Meta’s SAM, SAM 2, and SAM 3. A Python SDK can manage datasets and workflows in ML pipelines. Annotated data can be exported in formats such as COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. Remote storage options include AWS S3, Google Cloud Storage, and Azure Blob; integrations with Vertex AI, SageMaker, and Azure ML are add-ons for applicable plans. Stated security measures include Auth0 authentication, TLS 1.2 or higher in transit, and AES-256 encryption. The free Researcher plan includes 2,500 data credits, one seat, one workspace, and up to 10 projects. Pro costs $9,999 a year, and unused data credits do not roll into the next payment cycle.