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pdf-reader

Extract text, tables, and metadata from PDF documents.

20|6|Updated Apr 3, 2026
Search Tags:#ocr#pdf#analysis#data#extraction#tables#document-processing
One-click install
npx skills add https://github.com/ginkida/rustyhand --skill pdf-reader-ginkida
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf-reader
Source: https://github.com/ginkida/rustyhand/tree/main/crates/rusty-hand-skills/bundled/pdf-reader
Command: npx skills add https://github.com/ginkida/rustyhand --skill pdf-reader-ginkida

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDFs often contain valuable text, tables, and metadata but are difficult to digitize, search, and reuse. This skill provides precise extraction and analytical processing to preserve structure and enable downstream workflows.

Core Features & Use Cases

  • Text extraction: recover readable content while preserving logical order and headings.
  • Table reconstruction: detect and reconstruct tabular data with cell boundaries.
  • OCR for scanned PDFs: apply OCR and report confidence levels when needed.
  • Form field parsing: extract labeled fields and filled values for forms.
  • Output formats: deliver results in Markdown, JSON, or CSV for downstream processing.
  • Metadata extraction: capture author, creation date, page count, and fonts when available.

Quick Start

Instruct me to extract and structure data from a given PDF and present results in a readable format.

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 export them as CSV?▼

Table extraction from a PDF involves detecting cell boundaries and reconstructing tabular data. This skill outputs the reconstructed tables directly into CSV format for immediate downstream processing.

Can I extract text from scanned PDFs using OCR?▼

Yes, text extraction from scanned PDFs uses OCR to digitize documents. The skill applies optical character recognition and reports confidence levels to verify extraction accuracy.

What is the best way to parse PDF form fields and filled values?▼

Parsing PDF form fields requires extracting labeled fields and their filled values. This skill performs form field parsing and delivers the structured data in JSON or Markdown formats.

Does PDF metadata extraction include author and creation date?▼

Yes, PDF metadata extraction captures author, creation date, page count, and fonts. This metadata is captured when available to support document archival and content analysis workflows.

How do I convert a PDF document to structured Markdown?▼

Converting a PDF to structured Markdown requires extracting readable content while preserving logical order and headings. This skill performs text extraction and delivers the output directly in Markdown format.

What output formats are supported for PDF data extraction?▼

Supported output formats for PDF data extraction include Markdown, JSON, and CSV. These formats ensure that extracted text, tables, and metadata integrate smoothly into downstream workflows.

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