paddleocr-doc-parsing

Parse PDFs and images into structured markdown with tables and formulas.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/Arry8/openclaw-edge --skill paddleocr-doc-parsing-arry8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paddleocr-doc-parsing
Source: https://github.com/Arry8/openclaw-edge/tree/main/skills/paddleocr-doc-parsing
Command: npx skills add https://github.com/Arry8/openclaw-edge --skill paddleocr-doc-parsing-arry8

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, Pillow, pypdfium2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The PaddleOCR document parsing skill enables automated extraction of structured text and layout data from PDFs and document images, including tables, formulas, figures, headers/footers, and reading order, reducing manual document processing time.

Core Features & Use Cases

  • Layout-aware parsing: comprehends complex page layouts (multi-column, embedded tables, charts) and returns markdown/text with preserved structure.
  • Table and formula extraction: captures tables with structured content and formulas (LaTeX) for downstream processing.
  • Use Case: Ideal for invoices, financial reports, scientific papers, and brochures where content structure matters.

Quick Start

Run layout_caller against a document to extract structured text, tables, and reading order for rapid downstream processing.

Frequently Asked Questions about paddleocr-doc-parsing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract tables and text from PDF images while preserving layout?

You can parse invoices and financial reports by running the layout extraction against your PDF or image files. The skill captures structured table content, formulas, and reading order, returning markdown that preserves the original document structure for rapid downstream processing.

Can I extract LaTeX formulas and structured tables from academic papers?

Yes, this document parsing skill captures tables with structured content and formulas in LaTeX format from academic papers. It comprehends complex page layouts including multi-column sections and returns markdown text with preserved reading order.

Do I need a PaddleOCR endpoint to parse multi-column documents?

Yes, API-based operation requires a PaddleOCR layout-parsing endpoint and proper credentials to extract structured text. This skill handles file processing and per-page markdown extraction from PDFs and images using that endpoint.

What is the best way to automate reading order extraction from scanned PDFs?

Layout-aware document parsing is the best way to automate reading order extraction from scanned PDFs. This approach comprehends complex page layouts including multi-column formats and embedded charts, returning structured markdown with preserved reading order.

Does this document parsing skill work with PDFs and image files?

Yes, this document parsing skill works with both PDFs and image files for layout-aware extraction. It uses pypdfium2 and Pillow dependencies to handle file processing, extracting structured text and layout data from invoices, financial reports, and multi-column documents.