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pdf

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

Updated Jan 5, 2026
Search Tags:#automation#document processing#data extraction#pdf#form filling
One-click install
npx skills add https://github.com/sudat/req-manager --skill pdf-sudat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/sudat/req-manager/tree/main/.cursor/skills/pdf
Command: npx skills add https://github.com/sudat/req-manager --skill pdf-sudat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, pytesseract, reportlab, pandas, 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 into a CSV file?▼

To automate PDF form filling, this Skill programmatically populates both fillable and non-fillable PDF forms. It eliminates manual data entry by injecting text directly into PDF document fields, saving hours of repetitive administrative effort across multiple files.

Can I use pdfplumber and pypdf to automate PDF form filling without manual intervention?▼

Yes, you can extract text from scanned PDF documents using this Skill's OCR capabilities. It applies pytesseract and pdf2image to process scanned image-based PDFs, retrieving archival data and converting image text into usable digital formats.

What is the best way to extract structured data from PDF documents for administrative workflows?▼

For batch processing 100 vendor invoices, this Skill extracts invoice numbers, dates, and total amounts from each PDF automatically. It compiles the extracted structured data into a single CSV file, streamlining high-volume administrative workflows.

Does this PDF data extraction approach work with scanned documents?▼

Limitations of automating PDF data extraction include handling complex non-fillable forms or heavily scanned documents, which require OCR via pytesseract. The Skill needs pypdf and pdfplumber dependencies to parse binary PDF streams effectively without manual intervention.

Why does PDF data extraction fail on certain scanned documents?▼

This Skill differs from other PDF automation tools by combining pypdf and pdfplumber to parse binary streams directly, applying OCR via pytesseract for scanned files. It targets administrative workflows like invoice processing and form digitization without manual intervention.

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