skills.rest
giraphant
giraphantCOMMUNITY
Explore all skills by this author →
GitHub

quasi:extract

Extract chapter-level text from EPUB and PDF files with OCR support.

2|Updated Mar 8, 2026
Search Tags:#ocr#document processing#pdf#text extraction#epub#chapter splitting
One-click install
npx skills add https://github.com/giraphant/quasi --skill quasi-extract
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quasi:extract
Source: https://github.com/giraphant/quasi/tree/main/skills/extract
Command: npx skills add https://github.com/giraphant/quasi --skill quasi-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the extraction of text from digital books (EPUB, PDF) and scanned documents, preparing them for further analysis.

Core Features & Use Cases

  • EPUB to Text: Converts EPUB files into chapter-level plain text files.
  • PDF Chapter Splitting: Splits PDF documents into individual chapter text files, handling both digital and scanned (OCR) PDFs.
  • Use Case: You have a large PDF handbook for a new project. Use this Skill to automatically break it down into individual chapters, making it easy to analyze each section or feed into an AI for summarization.

Quick Start

Extract all chapters from the file '~/Downloads/my_book.epub' into the directory '/tmp/book_chapters'.

Frequently Asked Questions about quasi:extract

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text from EPUB and PDF files into chapters?▼

To extract text from EPUB and PDF files into chapters, you can use this Skill to automatically segment content into individual plain text files and generate a manifest for organized output.

Can I use OCR to extract text from scanned PDFs?▼

Yes, you can perform OCR on scanned PDFs to extract text. The Skill utilizes shell scripts with Tesseract to process scanned documents and convert them into readable chapter text files.

What is the best way to split a large PDF handbook for AI summarization?▼

The best way to split a large PDF for AI summarization is using automated chapter splitting. This Skill breaks PDF documents into individual chapter text files, making it easy to analyze each section independently.

Does this text extraction tool require Tesseract for processing PDFs?▼

Tesseract is required for processing scanned PDFs via OCR. For digital PDFs and EPUB files, the Skill uses Python scripts to extract text directly without needing OCR dependencies.

How does EPUB to text conversion handle chapter splitting?▼

EPUB to text conversion handles chapter splitting by using Python scripts to parse the document structure. It converts the EPUB file into chapter-level plain text files for organized access.

What output format does the PDF and EPUB text extraction generate?▼

The PDF and EPUB text extraction generates plain text files segmented by chapter. It also creates manifest files to provide organized output and track the extracted content structure.

Related Skills

Explore More Content & Communication Skills→
dmccrearydmccreary
90

book-metrics-generator

Generate book and chapter metrics reports for MkDocs Material textbooks.

Community
Advanced
Research-EqualityResearch-Equality
9

file_reader

Read and summarize local text files into concise structured summaries.

Official
Intermediate
kngender5kngender5

ocr-and-documents

Extract text, tables, and equations from PDFs and scanned documents using OCR.

Community
Advanced
iterationlayeriterationlayer
2

generate-epub-book

Generate EPUB books from structured content with chapters and a table of contents.

Official
Advanced