pdf

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

2.9k|257|Updated Apr 7, 2025
One-click install
npx skills add https://github.com/snyk/agent-scan --skill pdf-snyk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/snyk/agent-scan/tree/main/tests/skills/pdf
Command: npx skills add https://github.com/snyk/agent-scan --skill pdf-snyk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, pytesseract, reportlab, pdf-lib, pdfjs-dist, poppler-utils, qpdf, 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 structured data from PDF invoices automatically?

To extract data from PDF invoices automatically, this Skill parses binary streams using pypdf and pdfplumber. It pulls text and structured table data without manual intervention, compiling fields into usable formats for administrative workflows.

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 applies Python libraries to automate form digitization, eliminating manual data entry and saving hours of repetitive administrative effort.

What is the best way to retrieve archival data from scanned PDF documents?

The best way to retrieve archival data from scanned PDFs is using OCR capabilities via pytesseract and pdf2image. This Skill processes scanned documents to extract text, enabling automated archival data retrieval from image-based files.

Does this PDF data extraction approach work for batch processing hundreds of files?

Yes, this PDF data extraction approach works for batch processing. It handles administrative workflows like processing 100 vendor invoices, automatically extracting structured data from each document and compiling it into a single file.

Do I need to install poppler-utils and qpdf to parse binary PDF streams?

Yes, you need poppler-utils and qpdf installed alongside Python libraries like pypdf and pdfplumber. These dependencies are required to parse binary PDF streams and render documents without manual intervention.