pdf

Name: pdf
Availability: InStock
Author: Intelligent-Internet

Extract text and tables from PDFs using Python libraries.

3.4k|522|Updated Apr 7, 2025

Search Tags:#pdf #data-extraction #text-extraction #form-filling #document-management #pdf-processing

Ready to run

npx skills add https://github.com/Intelligent-Internet/ii-agent --skill pdf-intelligent-internet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/Intelligent-Internet/ii-agent/tree/main/src/ii_agent/settings/skills/builtin/pdf
Command: npx skills add https://github.com/Intelligent-Internet/ii-agent --skill pdf-intelligent-internet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, Pillow.

What problem does it solve?

PDFs are pervasive but hard to process at scale. This Skill automates common PDF tasks such as text extraction, table parsing, form filling, and document generation to save time and reduce manual labor.

Core Features & Use Cases

Automated text extraction and table parsing from multi-page PDFs
Form filling and annotation to streamline data capture and compliance
Merge, split, and create new PDFs for reporting and archival
Use case: process hundreds of invoices by extracting key fields and compiling them into a CSV

Quick Start

Run a sample workflow to extract text from a PDF and generate a merged output.

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 multi-page PDFs?▼

To extract text and tables from multi-page PDFs, this Skill parses documents using pdfplumber and pypdf to isolate structured content. It automates data extraction from invoices and reports, converting embedded tables into editable formats for downstream processing workflows.

Can I automate PDF form filling and document generation at scale?▼

Yes, you can automate PDF form filling and document generation at scale. This Skill handles form annotation and new PDF creation to streamline data capture and compliance, processing hundreds of records to compile extracted fields into merged archival outputs.

Does this PDF processing approach work with scanned documents and images?▼

This PDF processing approach works with scanned documents by rendering pages into images using pdf2image and Pillow. These dependencies allow the workflow to parse visual elements and annotate document images when standard text extraction is not sufficient.

What is the best way to merge and split PDFs for reporting workflows?▼

The best way to merge and split PDFs for reporting workflows is using pypdf to manipulate document structures. This Skill automates splitting large records into individual files and merging extracted invoice pages into compiled reports for archival.

How do I process hundreds of invoices to extract key fields into a CSV?▼

To process hundreds of invoices and extract key fields into a CSV, this Skill automates text extraction and table parsing across multi-page documents. It isolates specific data points from each invoice and compiles them into a structured spreadsheet output.