pdf

Extract text and tables from PDFs using Python libraries.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/dayour/agent_office_skills --skill pdf-dayour
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/dayour/agent_office_skills/tree/main/public/pdf
Command: npx skills add https://github.com/dayour/agent_office_skills --skill pdf-dayour

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, Pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates PDF processing tasks such as text and table extraction, form filling, and document assembly to save time and reduce manual work.

Core Features & Use Cases

  • Extract text and tables from PDFs using Python libraries.
  • Create, merge, split, and annotate PDFs for reports and workflows.
  • Use case: Ingest invoices, extract key fields, and compile into CSV for reporting.

Quick Start

Process a PDF by loading document.pdf with PdfReader and printing the number of pages.

Frequently Asked Questions about pdf

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

FAQPage Schema
How do I extract text and tables from PDF files for data analysis?

You can extract text and tables from PDF files using pdfplumber and pypdf to parse document structures, enabling automated data extraction from invoices and reports for scalable document processing workflows.

Can I merge and split PDF documents programmatically for archival workflows?

Yes, you can merge, split, and assemble PDF documents programmatically using pypdf, enabling automated document assembly for contracts, reports, and archival data at scale without manual intervention.

What Python libraries are needed to automate PDF form filling and annotation?

Automating PDF form filling and annotation requires Python libraries including pypdf, pdfplumber, pdf2image, and Pillow, which collectively parse, render, and manipulate PDF documents for administrative workflows.

Does pdfplumber support extracting structured data from invoices into CSV format?

Yes, pdfplumber supports extracting structured data from invoices by parsing text and tables, which can then be compiled into CSV format for reporting, streamlining administrative data extraction workflows.

What is the best way to automate PDF processing for large-scale document manipulation?

The best way to automate PDF processing at scale is using Python libraries like pypdf and pdf2image to programmatically handle text extraction, form filling, merging, and splitting across bulk document sets.

Can I render PDF pages as images using Python for document processing workflows?

Yes, you can render PDF pages as images using pdf2image and Pillow, enabling visual document processing, annotation, and integration into automated workflows that require image-based PDF manipulation.