The API extracts structured data from unstructured documents like PDFs and images. It identifies elements such as text, tables, and form fields, and returns them in hierarchical JSON with exact page and coordinate references. understands relationships between elements, like captions linked to images, and works without templates or training. Beyond parsing, supports schema-based extraction to pull specific data fields from your documents, and document classification to extract different sets of data based on document type. The extracted data can be used in downstream applications such as retrieval-augmented generation (RAG), search, or other custom workflows.

​
Try Out Agentic Document Extraction

Playground

Just getting started? Test out your documents in our demo app.

Library

Use our Python library to build custom scripts.

API

Call the API directly for language flexibility and advanced customization.

​
Features

  • Layout-agnostic parsing: Extracts data from complex layouts. No training or templates needed.
  • Element detection: Identifies specific elements including text, tables, form fields, checkboxes, and more.
  • Understands hierarchical relationships: Detects how elements relate in structure and meaning. For example, can understand that a line of text is the caption for an image.
  • Precision extraction: Extracts data accurately, even from complex documents.
  • Flexible output: Returns results in Markdown and JSON, ready for use in downstream applications like retrieval-augmented generation (RAG).
  • Visual grounding: The JSON output includes the document, page, and coordinate-level references for each element to support traceability, validation, and compliance workflows.
  • Supports multiple file types: Can extract data from PDFs and common image formats.

​
Introduction from Andrew Ng