---

name: pdf-extractor description: Extract text, tables, and metadata from PDF files. Use when working with PDFs, document extraction, or parsing PDF content. version: 1.0.0 author: agentflow triggers:

• pdf
• extract text
• parse document
• read pdf requirements:
• pypdf
• pdfplumber tags:
• document
• extraction
• pdf

---

PDF Extraction Instructions

Overview

This skill extracts text and data from PDF files using Python libraries.

Usage

Basic Text Extraction

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)

Extract Tables

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            print(table)

Get Metadata

from pypdf import PdfReader

reader = PdfReader("document.pdf")
metadata = reader.metadata
print(f"Title: {metadata.title}")
print(f"Author: {metadata.author}")
print(f"Pages: {len(reader.pages)}")

Requirements

Install the required packages:

pip install pypdf pdfplumber

Notes

• For scanned PDFs, consider using OCR libraries like pytesseract
• Large PDFs should be processed page by page to manage memory