pdf-reader

Extract and analyze PDF content into Markdown, JSON, or CSV.

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/0xMerl99/FangAI --skill pdf-reader-0xmerl99
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf-reader
Source: https://github.com/0xMerl99/FangAI/tree/main/crates/openfang-skills/bundled/pdf-reader
Command: npx skills add https://github.com/0xMerl99/FangAI --skill pdf-reader-0xmerl99

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of extracting and understanding information locked within PDF documents, transforming them into actionable insights.

Core Features & Use Cases

  • Content Extraction: Accurately pulls text, tables, and form data from various PDF types.
  • Structured Data Conversion: Reconstructs tables and form fields into machine-readable formats like Markdown, JSON, or CSV.
  • Analysis & Summarization: Provides hierarchical summaries and can compare documents.
  • Use Case: Extract all tables from a financial report PDF and output them as a single CSV file for further analysis.

Quick Start

Use the pdf-reader skill to extract and summarize the content of the attached document.

Frequently Asked Questions about pdf-reader

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

FAQPage Schema
How do I extract tables from a PDF and convert them to CSV?

To extract tables from a PDF and convert them to CSV, use the content extraction feature to reconstruct form fields and table data into structured, machine-readable formats like CSV, JSON, or Markdown.

Does OCR work for extracting text from scanned PDF documents?

OCR does work for scanned PDF documents. The extraction process supports OCR to accurately pull text, tables, and form data from various scanned PDF types, transforming locked content into actionable data.

Can I summarize and compare multiple legal PDF documents?

You can summarize and compare legal PDF documents. The analysis feature provides hierarchical summaries and can compare complex documents, making it suitable for processing legal papers, financial reports, and academic articles.

What is the best way to parse structured data from financial report PDFs?

The best way to parse structured data from financial report PDFs is using structured data conversion to reconstruct tables and form fields into machine-readable outputs like Markdown or JSON for further analysis.

How do I extract metadata from academic articles in PDF format?

To extract metadata from academic articles in PDF format, utilize the document analysis capabilities which pull text, tables, and metadata, outputting the structured data into formats like JSON or CSV.