dev-pdf_processing

Extract text, tables, and images from PDFs and convert to Markdown.

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/zhizhunbao/ai-dev-config --skill dev-pdf-processing-zhizhunbao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-pdf_processing
Source: https://github.com/zhizhunbao/ai-dev-config/tree/main/core/skills/dev-pdf_processing
Command: npx skills add https://github.com/zhizhunbao/ai-dev-config --skill dev-pdf-processing-zhizhunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pymupdf, pdfplumber, pypdf, pdf2image, pytesseract, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming tasks of extracting information from PDF documents, converting them into usable formats, and creating bilingual documentation.

Core Features & Use Cases

  • Comprehensive PDF Processing: Extract text, tables, and images from PDFs.
  • Format Conversion: Convert PDFs to Markdown, preserving structure.
  • Bilingual Documentation: Generate dual-language (English-Chinese) documents from PDFs, ideal for academic or technical materials.
  • Use Case: Convert a lecture PDF into structured Markdown notes, including extracted images and bilingual explanations, for easier study and sharing.

Quick Start

Use the dev-pdf_processing skill to convert the PDF file 'lecture_notes.pdf' into a markdown document.

Frequently Asked Questions about dev-pdf_processing

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

FAQPage Schema
How do I extract text and tables from a PDF and convert it to Markdown?

You can extract text and tables from a PDF and convert it to Markdown using this Skill's integrated toolkit, which leverages pymupdf and pdfplumber to preserve document structure during conversion.

Can I generate bilingual documentation from an existing PDF file?

Yes, you can generate bilingual English-Chinese documentation directly from PDFs, making it ideal for translating academic or technical materials into structured dual-language notes.

Does this PDF extraction approach support pulling images alongside text?

Yes, the comprehensive PDF processing toolkit supports extracting images alongside text and tables, allowing you to convert lecture PDFs into complete structured Markdown notes.

What is the best way to parse complex PDF layouts for academic lecture notes?

The best way to parse complex PDF layouts is using this Skill's advanced extraction capabilities, which utilize pypdf and pdfplumber to accurately capture structural elements for Markdown conversion.

Do I need pytesseract to process scanned PDF documents for text extraction?

Yes, pytesseract is included as a dependency to handle OCR tasks, enabling text extraction from scanned PDF documents when standard text parsing is insufficient.

What are the limitations of converting PDFs to Markdown using pymupdf?

While pymupdf effectively handles text and image extraction, highly complex or non-standard PDF layouts may still present structural challenges when converting them into perfectly formatted Markdown.