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pdf-processor

Parse PDF documents and extract structured text, tables, and metadata into JSON.

Updated Aug 23, 2026
Search Tags:#automation#ocr#document processing#structured data#summarization#data extraction#pdf
One-click install
npx skills add https://github.com/artimath/claude-plugins-template --skill pdf-processor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf-processor
Source: https://github.com/artimath/claude-plugins-template/tree/main/skills/pdf-processor
Command: npx skills add https://github.com/artimath/claude-plugins-template --skill pdf-processor

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manually extracting information from PDF documents is a tedious, error-prone, and time-consuming task that hinders efficient data analysis and workflow automation. This Skill transforms unstructured PDF content into usable, structured data.

Core Features & Use Cases

  • Structured Data Extraction: Converts PDF content, including text and tables, into structured JSON format.
  • OCR Capabilities: Can utilize helper scripts for Optical Character Recognition (OCR) to process scanned or image-based PDFs.
  • Intelligent Summarization: Provides concise summaries of PDF content, enabling quick understanding of key information.
  • Use Case: Process a batch of invoices, reports, or legal documents to automatically pull out key figures, dates, names, and other relevant data, then integrate this information into a database or spreadsheet for further analysis and reporting.

Quick Start

Once enabled, Claude can process PDFs you provide.

Example prompt to Claude:

"Please process the uploaded 'report.pdf' and extract all tables and key information.

Summarize the main findings."

(Ensure 'report.pdf' is accessible to Claude, e.g., via an upload mechanism.)

Frequently Asked Questions about pdf-processor

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

FAQPage Schema
How do I extract text and tables from PDF documents automatically?▼

PDF extraction converts unstructured document content into structured JSON format, pulling out text, tables, and metadata. This Skill parses PDFs and outputs organized data ready for database integration or further analysis.

Can I use OCR to process scanned or image-based PDFs?▼

Yes, this Skill includes OCR capabilities through helper scripts that recognize text in scanned documents and image-based PDFs, enabling data extraction from non-text-searchable files.

How do I automate invoice and report data extraction?▼

Batch processing with this Skill automatically extracts key figures, dates, names, and structured data from invoices, reports, and forms, then outputs JSON payloads for database or spreadsheet integration.

What formats and document types does PDF processing support?▼

This Skill processes invoices, reports, forms, and research papers, extracting text, tables, and metadata while supporting both text-based and scanned PDFs through OCR capabilities.

Can I get summaries of PDF content along with extracted data?▼

Intelligent summarization generates concise summaries of extracted PDF content, enabling quick understanding of key information alongside structured data extraction and table parsing.

Do I need to set up special dependencies to run PDF extraction?▼

This Skill has no external dependencies and uses self-contained helper scripts for OCR and table extraction, with paths anchored to the plugin root for straightforward setup.

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