pdf

Extract text and tables from PDFs into CSV or JSON using Python libraries.

2|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/davidbeglenboyle/davids-claude-code-setup --skill pdf-davidbeglenboyle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/davidbeglenboyle/davids-claude-code-setup/tree/main/skills/ready-to-use/pdf
Command: npx skills add https://github.com/davidbeglenboyle/davids-claude-code-setup --skill pdf-davidbeglenboyle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDFs are ubiquitous but extracting text, tables, and form data is tedious and error-prone. This toolkit provides a self-contained set of utilities to automate these tasks within Python, enabling repeatable document processing workflows.

Core Features & Use Cases

  • Text and table extraction: pull structured data from PDFs into plain text, CSV, or JSON.
  • PDF creation and manipulation: create new PDFs, merge/split, rotate pages, and fill forms.
  • Use Case: batch process invoices or contracts to digitize data for archiving, analytics, and reporting.

Quick Start

Extract all text and tables from a PDF using the included Python libraries and save the results to a text or CSV file.

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 tables from a PDF into CSV or JSON?

You can extract text and tables from PDF documents into plain text, CSV, or JSON using Python libraries like pypdf and pdfplumber. This enables repeatable document processing workflows for data reuse.

What Python libraries do I need to process PDF documents for data extraction?

Processing PDF documents for data extraction requires Python libraries such as pypdf, pdfplumber, and pdf2image. These libraries handle reading, parsing, and exporting content from PDF files.

Can I batch process invoices and contracts to digitize data for archiving?

Yes, you can batch process invoices or contracts to digitize data for archiving, analytics, and reporting. The toolkit automates text and table extraction to streamline large-scale archival workflows.

Does this toolkit support PDF creation and manipulation like merging and splitting?

Yes, PDF creation and manipulation are supported. You can create new PDFs, merge or split documents, rotate pages, and fill forms alongside extracting structured data from existing files.

What is the best way to convert PDFs into editable data for analytics?

The best way to convert PDFs into editable data is using a self-contained set of Python utilities that pull structured content from PDFs into plain text, CSV, or JSON for analytics and reporting.