How do I handle large-scale PDF merging or splitting?

The skill details both Python-based methods and high-performance command-line tools like qpdf and pdftk for efficient bulk processing.

Can I process scanned PDF documents?

Yes, the skill includes implementation guides for OCR (Optical Character Recognition) using pytesseract and pdf2image to extract text from scanned images.

What Python libraries are supported by this skill?

The skill provides patterns for pypdf for basic operations, pdfplumber for layout-aware text/table extraction, and ReportLab for creating new PDFs from scratch.

Is it possible to extract tables into Excel or DataFrames?

Yes, the skill demonstrates how to use pdfplumber in conjunction with pandas to convert PDF tables into structured DataFrames and Excel files.

Can this skill help with password-protected PDFs?

Absolutely. It includes specific instructions for encrypting documents with passwords and decrypting files using qpdf or pypdf.

Professional PDF Processing

Name: Professional PDF Processing
Author: claudiodearaujo

byclaudiodearaujo

•

콘텐츠 관리

Automates complex PDF manipulation, text extraction, and document generation using industry-standard Python libraries and CLI tools.

This skill provides Claude with a comprehensive set of instructions and patterns for advanced PDF handling. It enables seamless text and table extraction, document merging and splitting, metadata management, and programmatic PDF creation. By integrating specialized libraries like pypdf, pdfplumber, and reportlab, as well as command-line utilities like qpdf, it allows developers to build robust document processing pipelines, handle scanned documents via OCR, and automate complex PDF workflows directly within their development environment.

주요 기능

01Programmatic PDF creation and dynamic reporting with ReportLab

021 GitHub stars

03High-fidelity text and table extraction using pdfplumber and pandas

04Security features including encryption, decryption, and password protection

05OCR capabilities for converting scanned documents into searchable text

06Comprehensive document manipulation including merging, splitting, and rotating

사용 사례

01Generating dynamic PDF reports, certificates, or invoices from application data

02Extracting structured data from financial reports or invoices for automated analysis

03Automating document archival workflows with merging, watermarking, and metadata tagging

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro pdf-official

For use in Claude.ai and ChatGPT

주요 기능

01Programmatic PDF creation and dynamic reporting with ReportLab

021 GitHub stars

03High-fidelity text and table extraction using pdfplumber and pandas

04Security features including encryption, decryption, and password protection

05OCR capabilities for converting scanned documents into searchable text

06Comprehensive document manipulation including merging, splitting, and rotating

사용 사례

01Generating dynamic PDF reports, certificates, or invoices from application data

02Extracting structured data from financial reports or invoices for automated analysis

03Automating document archival workflows with merging, watermarking, and metadata tagging

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro pdf-official

For use in Claude.ai and ChatGPT