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pdf

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

269|67|Updated Mar 9, 2026
Search Tags:#automation#document processing#data extraction#pdf#form filling
One-click install
npx skills add https://github.com/PM-Shawn/Abu-Cowork --skill pdf-pm-shawn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/PM-Shawn/Abu-Cowork/tree/main/builtin-skills/pdf
Command: npx skills add https://github.com/PM-Shawn/Abu-Cowork --skill pdf-pm-shawn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, pytesseract, 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 parses binary PDF streams using pdfplumber and pypdf to pull text and tabular data without manual intervention. It compiles extracted invoice numbers, dates, and totals into usable formats.

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

Yes, you can programmatically fill both fillable and non-fillable PDF forms. This Skill automates form digitization by injecting data into PDF documents, eliminating repetitive manual data entry tasks for administrative workflows.

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

Yes, PDF data extraction works with scanned documents by leveraging pytesseract and pdf2image dependencies. This optical character recognition pipeline converts scanned image-based PDF pages into machine-readable text for subsequent parsing.

What is the best way to process 100 vendor invoices and compile the data into a single CSV?▼

The best way to process 100 vendor invoices into a CSV is applying this Skill's automated batch extraction. It parses each PDF to retrieve the invoice number, date, and total amount, compiling the structured archival data into one file.

Do I need to install Python libraries before extracting text from PDF documents?▼

Yes, you need to install Python libraries before extracting text from PDF documents. This Skill requires pypdf and pdfplumber to parse binary PDF streams, plus pdf2image and pytesseract if processing scanned archival documents.

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