pdf

Extract text and structured data from PDF documents using pypdf and pdfplumber.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/daodaolee/ai-driven-sdlc --skill pdf-daodaolee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/daodaolee/ai-driven-sdlc/tree/main/.agents/skills/pdf
Command: npx skills add https://github.com/daodaolee/ai-driven-sdlc --skill pdf-daodaolee

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the tedious manual work of filling out PDF forms and extracting data from documents, saving you hours of repetitive effort.

Core Features & Use Cases

  • Automated Form Filling: Programmatically fill both fillable and non-fillable PDF forms.
  • Data Extraction: Pull text and structured table data from any PDF into usable formats.
  • Use Case: Imagine you have 100 vendor invoices in PDF format. Use this Skill to automatically extract the invoice number, date, and total amount from each one and compile them into a single CSV file.

Quick Start

Use the pdf skill to extract all text from the attached file 'invoice-q3.pdf'.

Frequently Asked Questions about pdf

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

FAQPage Schema
How do I extract structured table data from PDF invoices automatically?

To extract structured table data from PDF invoices automatically, this Skill uses pdfplumber and pypdf to parse binary PDF streams. It pulls text and table data without manual intervention, compiling fields like invoice numbers and totals into a single usable format.

Can I programmatically fill both fillable and non-fillable PDF forms?

Yes, you can programmatically fill both fillable and non-fillable PDF forms. The Skill automates form digitization by applying data to PDF documents, eliminating the tedious manual work of entering data into administrative forms.

What's the best way to parse text from multiple PDF documents for archival retrieval?

The best way to parse text from multiple PDFs for archival retrieval is using automated Python libraries. This Skill processes binary PDF streams to extract text and structured data, handling repetitive document workflows without manual intervention.

Do I need Python dependencies to automate PDF data extraction and form filling?

Yes, you need the Python dependencies pypdf, pdfplumber, and pdf2image to automate PDF data extraction. These libraries are required to parse binary PDF streams and programmatically fill forms without manual intervention.

Why use pdfplumber for extracting structured data instead of other document processing methods?

Use pdfplumber for extracting structured data because it specifically parses binary PDF streams to pull text and table data into usable formats. This approach automates administrative workflows like invoice processing and form digitization without manual data entry.

Does automated PDF form filling work for high-volume administrative workflows?

Yes, automated PDF form filling works for high-volume administrative workflows. The Skill handles batch processing of documents like vendor invoices, extracting invoice numbers, dates, and totals from multiple files to compile into a single CSV output.