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Annota Studio

Build the data your AI runs on.

Label images, turn documents into reviewed text, and save versions of every dataset. Then export your data, train your own models (private beta), or use your documents as knowledge bases in Annota Brain.

Start for freeSee the tools

Click an object to select it. Check the outline.

Inside Studio

Three tools. One set of datasets.

Annotation, documents, and models share your datasets, credits, and permissions.

Annotate

Label images with AI, then review every detail.

Select objects with a click or annotate a whole dataset in one run.

  • Magic Select and Magic Annotate
  • Bounding boxes and polygons
  • COCO export
Explore Annotate

Documents

Turn PDFs and scans into text you can trust.

Extract text, tables, and figures or transcribe audio, then correct the result alongside the original.

  • Page-by-page OCR
  • Side-by-side review
  • Markdown and LLM Wiki export
Explore Documents

Models

Train AI on the data you have reviewed.

Start from a saved dataset version and train an object detection model.

  • Object detectionPrivate beta
  • Instance segmentationComing soon
  • Image classificationComing soon
  • Language model (LLM)Coming soon
Explore Models

How it works

From raw files to reliable data.

The same steps apply to images and documents.

  1. Upload

    Create an image or document dataset and add your files.

  2. Let AI do the first pass

    Magic Annotate labels your images; OCR and audio transcription extract the content of your documents.

  3. Review and approve

    Correct outlines and text where needed, then approve the result.

  4. Save a version

    Save a version that later edits will not change, ready to export or train on.

Work from your AI agent

Studio, in the tools you already use.

Through MCP, your agent can manage datasets and labels, edit annotations, review OCR text, run automatic annotation, and retrieve exports, with your existing permissions.

Connect your AI agent
AI agent - Annota AI MCP / Example

Annota Brain

Your datasets feed your knowledge bases.

Files dropped into a knowledge base in Brain arrive here as document datasets you can review. Your corrections flow back to the knowledge base, and any document dataset can become one with Use in Brain.

Explore Brain

Frequently asked questions

Do I need a separate plan for Studio?

No. Every plan includes Studio and Brain, with one account, one organization, and one credit balance. Model training requires separate private beta approval, on any plan.

What is the difference between Studio and Brain?

Studio is where you prepare your data: images, documents, versions, and models. Brain is where you ask your documents: verified answers with citations from knowledge bases built on your document datasets.

How do datasets and knowledge bases work together?

Every knowledge base follows exactly one document dataset, marked In Brain in Studio. Turn any document dataset into one with Use in Brain: it indexes only approved documents by default, or all documents with extracted text if you choose. Knowledge bases created in Brain index all their documents. A dataset can't be deleted while it backs a knowledge base.

Which tools use credits?

Magic Select, Magic Annotate, OCR, and audio transcription use credits, and the platform shows the cost or estimate before you start. Manual annotation, dataset versions, and exports use no credits, within storage and operation limits. The Pricing page lists allowances and rates.

Start your first dataset.

Create a free account and bring your images or documents into Studio.

Start for freeView plans