For the complete documentation index, see llms.txt. This page is also available as Markdown.

Document Structure Recognition

Requirements

These packages are required to use these features in production. Trial keys have unlimited access to all features

Package: Smart Data ExtractionModule: Data ExtractionLive demo

Document Structure Recognition

Apryse's Document Structure Recognition engine helps you capture the visual and logical layout of a document. Unlike tabular extraction, this mode is designed to mimic how a human sees the page — recognizing paragraphs, lists, headers, footers, and images as distinct blocks.

It's ideal for use cases involving:

  • Accessibility tagging (e.g., reading order)

  • Screen reading tools

  • Document reconstruction

  • Visual layout parsing

How It Works

The engine detects layout elements based on visual positioning, spacing, indentation, and structural boundaries. It separates:

  • Paragraphs and lists

  • Headers and footers

  • Section columns vs table columns

  • Tables embedded inside paragraphs

  • Images and graphical elements

JSON Output Specification

Refer to the following specifications to learn more about the output JSON format:

Extract document structure as JSON file

Specify the name of the input PDF file and the name of the output JSON file, then select the Doc Structure engine:

Extract document structure as JSON string

If you are going to parse the JSON right away, you may as well retrieve it as an in-memory string, instead of an external file.

Specify the name of the input PDF file, then select the Doc Structure engine:

Extract document structure as a Markdown file

In addition to JSON, document structure can be extracted directly to Markdown — useful for feeding document content into LLMs, static site generators, or any Markdown-based pipeline.

Specify the name of the input PDF file and the name of the output Markdown file:

Extract document structure using the Paddle OCR engine

For scanned or image-based PDFs, you can choose the Paddle OCR engine for improved accuracy on low-quality scans and complex layouts. See Select OCR Engine for a full comparison of the two engines. Since Paddle does not support automatic language detection, the OCR language must be set explicitly.

The following example shows how to extract document structure as a Markdown file using the Paddle OCR engine.

Info

Paddle OCR is currently available in the Windows x64 and Linux x64 builds of the Data Extraction Module.

Optional Configurations

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