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paddleocr-doc-parsing

Extract structured Markdown/JSON content from PDFs and document images via PaddleOCR.

Updated Mar 11, 2026
Search Tags:#pdf#formulas#tables#layout-analysis#document-parsing#reading-order#paddleocr
One-click install
npx skills add https://github.com/ISAQQSAI/SkillAttack --skill paddleocr-doc-parsing-isaqqsai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paddleocr-doc-parsing
Source: https://github.com/ISAQQSAI/SkillAttack/tree/main/data/hot100skills/067_bobholamovic_paddleocr-doc-parsing
Command: npx skills add https://github.com/ISAQQSAI/SkillAttack --skill paddleocr-doc-parsing-isaqqsai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

PaddleOCR's document parsing capability turns PDFs and scanned documents into structured text with layout-aware details, enabling automated extraction of tables, formulas, figures, and reading order.

Core Features & Use Cases

  • Layout-aware extraction for multi-column documents, invoices, reports, and scientific papers
  • Captures tables with cell-level precision, formulas as LaTeX, and figures/headers/footers
  • Supports batch testing of a single skill against URL or local files and provides raw results for RAG or indexing

Quick Start

Run a PDF or image through the PaddleOCR doc-parsing workflow to obtain clean text and structured layout data.

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 formulas from a PDF document?▼

Extracting tables and formulas from a PDF is done using PaddleOCR layout-aware parsing, which captures cell-level table data and LaTeX formulas to output structured Markdown and JSON content.

What is layout-aware document parsing for multi-column scientific papers?▼

Layout-aware document parsing identifies reading order, headers, and footers in multi-column scientific papers, transforming complex layouts into clean structured text for automated extraction.

Can I parse scanned PDFs from a URL into structured text?▼

Yes, you can parse scanned PDFs and document images from a URL into structured Markdown and JSON. The skill supports input from local files or URLs with optional file-type overrides.

Do I need an API token to parse PDFs with PaddleOCR?▼

Yes, you need a valid PaddleOCR API URL and token configured in your environment to parse PDFs. The skill requires these credentials to return text, raw results, and error details.

How do I get structured JSON results from PDF document parsing?▼

You get structured JSON results from PDF document parsing by processing files through the PaddleOCR API. It returns a stable envelope containing text, raw layout data, and error details.

Does this PDF parsing approach work for batch testing and RAG indexing?▼

Yes, this PDF parsing approach supports batch testing of a single skill against URLs or local files and provides raw results, making the structured output suitable for RAG indexing.

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