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AI-Driven Document Annotation

Automatically Label Documents for AI Training

The intelligent data labeling tool designed for complex document structure analysis, layout parsing, and reading order detection.

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How it works

1

Upload your Document

Simply drag and drop your PDF or image files into the tool. Advanced AI models automatically identify and segment document elements.

Upload your Document
2

Review & Refine

Use our intuitive UI tools to review, adjust, and refine automatically detected document structures, bounding boxes, and reading flows.

Review & Refine
3

Export JSON

Once labeling is complete, export structured datasets ready for fine-tuning Large Language Models (LLMs) or Layout AI models.

Export JSON

Engineered for Document AI Workflows

High-precision layout understanding built for enterprise dataset preparation.

Automated Layout Segmentation

Instantly segment multi-column documents, headers, footers, tables, and figures without manual box drawing.

Reading Order Detection

Preserve logical reading sequences across complex non-linear document layouts for LLM fine-tuning.

Custom Label Configuration

Configure tailored label hierarchies, key-value pairs, checkboxes, code blocks, and custom annotations.

Clean JSON Export

Export standardized JSON structured datasets ready for direct integration into PyTorch or Hugging Face pipelines.

Ready to accelerate your document AI dataset creation?

No tedious sign-ups required to try sample datasets.

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