pdf

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

3|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/sanchitnis/Hitaishin --skill pdf-sanchitnis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/sanchitnis/Hitaishin/tree/main
Command: npx skills add https://github.com/sanchitnis/Hitaishin --skill pdf-sanchitnis

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 text and table data from PDF invoices?

Extract text and structured table data from PDF invoices by using Python libraries like pdfplumber and pypdf to parse binary files. This automates data extraction, pulling invoice numbers and totals directly into usable formats without manual copying.

Can I automate filling out non-fillable PDF forms?

Automate filling out non-fillable PDF forms programmatically using this PDF automation approach. It handles both fillable and non-fillable documents, eliminating tedious manual data entry work for repetitive form processing workflows.

Do I need Python libraries like pypdf and pdfplumber to process scanned PDFs?

You need pypdf and pdfplumber to parse binary PDFs efficiently for native documents. For scanned PDFs, pdf2image is also utilized to handle image-based content, ensuring accurate text extraction across different document types.

What is the best way to process hundreds of PDF documents into a single CSV?

Process hundreds of PDF documents into a single CSV by automating data extraction with Python scripts. Extract specific fields like invoice numbers and totals from each file, then compile them into one structured CSV file for archiving.

Does this PDF data extraction approach work for report generation workflows?

This PDF data extraction approach works for report generation workflows by opening and reading PDF documents to extract necessary text data. It automates parsing native and scanned PDFs, feeding extracted information directly into downstream reporting processes.