pdf

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

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/javierveloso/documentia --skill pdf-javierveloso
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/javierveloso/documentia/tree/main/.claude/skills/pdf
Command: npx skills add https://github.com/javierveloso/documentia --skill pdf-javierveloso

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 structured table data from PDF invoices without manual entry?

To extract structured table data from PDF invoices without manual entry, you can automate text and table parsing using Python libraries like pdfplumber. This allows you to pull invoice numbers, dates, and totals directly from binary PDF streams into usable formats such as CSV files.

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

Yes, you can programmatically fill out both fillable and non-fillable PDF forms. By automating document processing with Python scripts, you eliminate repetitive manual data entry and streamline administrative workflows like form digitization.

Does pdfplumber work well for extracting text from archival PDF documents?

Yes, pdfplumber works well for extracting text from archival PDF documents. It parses binary PDF streams without manual intervention, making it highly effective for archival data retrieval and migrating legacy document content into usable formats.

What is the best way to compile data from multiple PDF files into a single CSV?

The best way to compile data from multiple PDF files into a single CSV is to automate extraction using Python libraries like pypdf and pdfplumber. This approach parses hundreds of vendor invoices, pulling structured data automatically to consolidate records efficiently.

Do I need Python installed to automate PDF data extraction and form filling?

Yes, you need Python installed to automate PDF data extraction and form filling. The process relies specifically on Python libraries including pypdf, pdfplumber, and pdf2image to parse binary streams and execute scripts without manual intervention.

Why does my PDF text extraction return unreadable characters from binary streams?

PDF text extraction may return unreadable characters from binary streams if the document contains scanned images instead of embedded text. In such cases, tools like pdf2image are required alongside pypdf to process the visual content correctly.