PDF Text Extractor

Extract text, tables, and figures from PDF documents using PyMuPDF and pdfplumber.

7|2|Updated Mar 3, 2026

Search Tags:#automation #document processing #text extraction #PDF #table parsing

Ready to run

npx skills add https://github.com/melody1015/academic-review-board --skill pdf-text-extractor-melody1015

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: PDF Text Extractor
Source: https://github.com/melody1015/academic-review-board/tree/main
Command: npx skills add https://github.com/melody1015/academic-review-board --skill pdf-text-extractor-melody1015

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyMuPDF, python-docx, pdfplumber, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables automatic extraction of text and structured components from PDF documents to facilitate content analysis and data processing.

Core Features & Use Cases

Text extraction: Pull all textual content from PDFs for editing or review.
Structured data retrieval: Extract tables and form data into machine-readable formats for analysis.
Use Case: Streamline legal discovery or academic research by converting batches of scanned PDFs into searchable, editable text and data.

Quick Start

Use the PDF Text Extractor Skill to process 'research-paper.pdf' and obtain all textual and tabular data for further analysis.

Frequently Asked Questions about PDF Text Extractor

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

FAQPage Schema

How do I extract text and tables from a PDF automatically?▼

To extract text and tables from a PDF automatically, this Skill uses PyMuPDF and pdfplumber to parse documents and pull all textual content and structured table data without manual copying.

Does PyMuPDF work well for extracting structured table data from PDFs?▼

PyMuPDF works efficiently for general text extraction, while pdfplumber is specifically utilized alongside it to accurately parse and retrieve structured table data from PDFs into machine-readable formats.

Can I batch extract text from scanned PDFs for legal discovery?▼

Yes, you can automate the extraction of text and structured data from batches of PDFs, streamlining legal discovery or academic research by converting documents into searchable and editable outputs.

What is the best way to convert PDF documents into editable text for a knowledge base?▼

The best way to convert PDF documents into editable text for a knowledge base is using automated Python libraries like PyMuPDF to instantly parse and extract all textual content for review.

Are there limitations when parsing figures from PDF documents?▼

While the Skill provides automated extraction of entire text and tables from PDFs using PyMuPDF and pdfplumber, metadata does not specify the exact machine-readable output formats for extracted figures.