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Extract text and tables from PDFs with fallback extraction strategies.

32|1|Updated May 19, 2026
Search Tags:#pdf#document conversion#text extraction#table extraction#ocr fallback#math modeling#reference reading
One-click install
npx skills add https://github.com/woodfishhhh/EZ_math_model --skill pdf-woodfishhhh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/woodfishhhh/EZ_math_model/tree/main/skills/ez-math-model/tools/pdf
Command: npx skills add https://github.com/woodfishhhh/EZ_math_model --skill pdf-woodfishhhh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of needing reliable PDF text/table extraction and conversion when PDF content is difficult to read directly (including fallback scenarios when primary tools fail).

Core Features & Use Cases

  • PDF text and table extraction: Converts PDF pages into editable Markdown-like text and extracts table content using extraction tools.
  • Robust fallback behavior: Follows a priority chain (mineru first, then host pdf, then pdfplumber, then OCR) to recover from common extraction failures.
  • Reference-paper reading strategy: Focuses reads on high-value sections like title/abstract/TOC and limits total pages to avoid unnecessary copying.
  • PDF export reliability for deliverables: Provides a text-only PDF placeholder export with explicit audit flags when high-fidelity output isn’t possible.

Quick Start

Upload your PDF problem statement and ask EZ_math_model to extract its text and any tables for downstream math modeling.

Frequently Asked Questions about pdf

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

FAQPage Schema
How do I extract text and tables from a PDF document for math modeling?▼

Yes, it follows a deterministic extraction chain (mineru then host pdf then pdfplumber then OCR) to recover text and tables when primary extraction tools fail, applying OCR as a fallback strategy.

What is the best way to read specific sections from reference papers in PDF?▼

The best way to read reference paper PDFs is focusing on high-value sections like title, abstract, and table of contents while limiting total pages read to avoid unnecessary copying and context bloat.

How do I handle low-fidelity PDF exports when high-fidelity output isn't possible?▼

For low-fidelity placeholder PDF exports, it provides a text-only PDF export with explicit audit flags, ensuring you handle and audit reliability issues when high-fidelity output isn't possible.

Can I convert PDF content into Markdown format for downstream processing?▼

Yes, you can convert PDF content into Markdown-like text for downstream processing, applying robust fallback behavior to ensure successful text and table extraction for your conversion needs.

Why does PDF text extraction fail and how can I recover the content?▼

PDF text extraction fails due to encoding issues or scanned images, but you can recover content using a priority fallback chain that moves from mineru to host pdf, then pdfplumber, and finally OCR.

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