pdf_reader

Extract text and metadata from PDFs using PyPDF2.

38|14|Updated Mar 1, 2026

Search Tags:#automation #pdf #metadata #text #data-processing #extract #page-range

Ready to run

npx skills add https://github.com/ericwang915/PythonClaw --skill pdf-reader-ericwang915

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf_reader
Source: https://github.com/ericwang915/PythonClaw/tree/main/pythonclaw/templates/skills/data/pdf_reader
Command: npx skills add https://github.com/ericwang915/PythonClaw --skill pdf-reader-ericwang915

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyPDF2.

What problem does it solve?

Manually reading and extracting content from PDFs is time-consuming and error-prone; this skill automates text extraction and metadata retrieval to accelerate document analysis.

Core Features & Use Cases

Extracts text from all or selected pages (supports ranges) and returns structured results.
Retrieves common metadata such as title, author, subject, and creation date for indexing and provenance.
Useful for archiving, research, and data extraction workflows where PDFs need to be analyzed or converted to other formats.

Quick Start

Run the read_pdf.py script on a PDF file to extract text and optional metadata.

Frequently Asked Questions about pdf_reader

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

FAQPage Schema

How do I extract text from a PDF file for data processing?▼

To extract text from a PDF file, this skill parses pages using PyPDF2 and returns structured results. It handles multi-page extraction with specified page ranges for quick content discovery.

Can I retrieve metadata like author and creation date from PDFs?▼

Yes, you can retrieve metadata from PDFs using this skill. It extracts common metadata fields such as title, author, subject, and creation date for indexing and provenance.

How do I extract text from specific page ranges in a PDF?▼

You can extract text from specific page ranges in a PDF by defining the range in the extraction request. The skill supports multi-page extraction, allowing targeted content retrieval.

Does PyPDF2 work well for extracting PDF text in research workflows?▼

PyPDF2 works well for extracting PDF text in research workflows by automating text extraction and metadata retrieval. This accelerates document analysis and handles archival data processing.

What are the limitations of automated PDF text extraction?▼

Limitations of automated PDF text extraction include potential parsing errors with complex layouts. PyPDF2 parses text and metadata effectively for standard documents but may struggle with scanned images.