The result / COCO
Images and reviewed annotations in a COCO archive, ready for your own training tools.
Examples
See what you can build with your data.
Three example workflows in Annota Studio and Annota Brain, from the first upload to a result you can put to work.
Studio · Image annotation
Prepare a visual inspection dataset.
Start with images from a bottling line and label the defects you want a model to recognize.
Define what matters
Create an image dataset and labels for the objects or defects you want to identify.
Annotate and refine
Use Magic Select for individual objects or Magic Annotate for many images at once. Adjust bounding boxes and polygons where needed.
Review and export
Approve the images, save a dataset version, and export to COCO for your training workflow.
Studio · Document preparation
Give your AI agent better source material.
Turn a collection of PDFs and scans into content you can inspect, correct, and reuse.
Extract the content
Upload PDFs or scanned images to a document dataset. OCR extracts text, tables, and figures.
Check against the original
Review the pages and correct the text. Approve the documents and save a version.
Continue in your own tools
Export a Markdown ZIP for your document pipeline, or an LLM Wiki for your AI agent to explore.
The result / Markdown / LLM Wiki
Reviewed source content you can take to your AI tools, with originals and agent instructions included in the LLM Wiki export.
Brain · Knowledge bases
Ask questions across your contracts.
Drop a set of contracts and invoices into a knowledge base, then ask questions and check every answer against the original pages.
Create a knowledge base
Name it and drag in your contracts and invoices. Brain reads them and gets them ready for your questions.
Refine in Studio if needed
Open the same documents in Studio to correct the OCR or add more. The knowledge base follows your changes.
Ask and check
Ask about payment terms, amounts, or deadlines. Open each reference to see the passage on the original page.
The result / Brain
Answers verified against your documents, with references to the exact passages you can check.
MCP
Already working with an AI agent?
Connect it through MCP to inspect datasets, edit annotations, ask your knowledge bases, and retrieve exports from a conversation.
Try a workflow with your data.
Create a free account and start with a few images or documents.