skills.rest
pedroapp100
pedroapp100COMMUNITY
Explore all skills by this author →
GitHub

pdf

Extract text, tables, and images from PDF documents using pypdf and pdfplumber.

Updated Apr 2, 2026
Search Tags:#ocr#pdf#extraction#merging#splitting#manipulation
One-click install
npx skills add https://github.com/pedroapp100/remix-of-leva-e-tras-v6 --skill pdf-pedroapp100
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/pedroapp100/remix-of-leva-e-tras-v6/tree/main/.agents/skills/pdf
Command: npx skills add https://github.com/pedroapp100/remix-of-leva-e-tras-v6 --skill pdf-pedroapp100

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of working with PDF files by enabling users to extract text, tables, and images, perform file merging and splitting, fill forms, and apply OCR to scanned documents, reducing manual effort.

Core Features & Use Cases

  • Text and Table Extraction: Extract structured and unstructured data from PDFs for analysis or entry into other formats such as Excel.
  • PDF Modification: Merge, split, rotate pages, and add watermarks or encryption to PDFs for document management.
  • Use Case: For legal professionals extracting case data or for logistics companies processing scanned shipment documents, this Skill automates workflows and improves accuracy.

Quick Start

Use the pdf skill to extract all the text from a user-uploaded PDF document and convert it into an editable format for review.

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 for data entry?▼

You can extract structured and unstructured data from PDFs using pdfplumber, which parses text and tables for direct entry into other formats like Excel, reducing manual effort in document processing.

What is the best way to merge and split PDF documents at scale?▼

Using pypdf for PDF modification allows you to merge, split, and rotate pages at scale, optimizing document management workflows in legal, administrative, and logistics environments with minimal manual intervention.

Can I apply OCR to scanned PDF documents for text extraction?▼

Yes, you can apply OCR to scanned PDF documents using pdf2image and pdfplumber to extract text from scanned shipment documents or case files, automating workflows and improving data accuracy.

Does pypdf support adding watermarks and encryption to PDF files?▼

Yes, pypdf supports adding watermarks and encryption to PDF files, enabling you to secure and customize documents for legal or administrative use cases while performing comprehensive PDF document processing.

How do I parse and extract data from scanned shipment documents?▼

You can parse scanned shipment documents by applying OCR via pdf2image and extracting structured data with pdfplumber, automating logistics workflows and improving data accuracy from scanned PDF files.

What are the limitations of pdfplumber for PDF data extraction?▼

While pdfplumber extracts structured and unstructured data from text-based PDFs, scanned documents require additional OCR processing via pdf2image, adding a dependency layer for purely image-based file extraction.

Related Skills

Explore More Content & Communication Skills→
rysweetrysweet
72

pdf

Extracts text and tables from PDFs, creates, merges, and handles OCR for scanned documents.

Community
Advanced
eyadsibaieyadsibai
7

document-processing

Extract text and tables from PDFs and convert office documents using Python.

Community
Intermediate
Holo00Holo00
6

pdf

Extract text and tables from PDFs and fill forms programmatically.

Community
Advanced
bahayonghangbahayonghang
16

pdf

Extract text, merge, split, rotate, and watermark PDFs using Python libraries.

Community
Advanced