pdf

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

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/serotoninboi/claudine-ai-v3.1 --skill pdf-serotoninboi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/serotoninboi/claudine-ai-v3.1/tree/main/.kilocode/skills/pdf
Command: npx skills add https://github.com/serotoninboi/claudine-ai-v3.1 --skill pdf-serotoninboi

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 text and table data from PDF invoices automatically?

To extract text and table data from PDF invoices automatically, this Skill uses pypdf and pdfplumber to parse binary PDF streams without manual intervention. It compiles extracted invoice numbers, dates, and amounts into a single usable file.

Can I programmatically fill non-fillable PDF forms without manual data entry?

Yes, you can programmatically fill non-fillable PDF forms without manual data entry. This Skill automates form digitization by applying data directly to PDF documents, eliminating repetitive administrative workflows and saving hours of effort.

Does this PDF data extraction approach work for large scale archival retrieval?

This PDF data extraction approach works for large scale archival retrieval by automating the extraction of structured data from binary PDF streams. It requires pypdf and pdfplumber to process administrative documents without manual intervention.

What is the best way to convert structured PDF data into a CSV file using Python?

The best way to convert structured PDF data into a CSV file using Python is to automate extraction with pypdf and pdfplumber. This Skill pulls text and table data from documents like vendor invoices and compiles them into a single CSV file.

Do I need pytesseract and pdf2image to extract text from scanned PDF documents?

You need pytesseract and pdf2image to extract text from scanned PDF documents when standard text parsing fails. These dependencies enable optical character recognition for archival data retrieval from image-based PDF forms.

Why does pdfplumber return empty results when parsing my PDF document?

pdfplumber returns empty results when parsing a PDF document if the content is image-based rather than text-based. In this case, use the pdf2image and pytesseract dependencies to perform optical character recognition for data extraction.