Extract text and tables from PDF files using pdfplumber and PyPDF2.
npx skills add https://github.com/ChenYCL/claude-skills-collection --skill pdf-chenycl
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/ChenYCL/claude-skills-collection/tree/main/pdf Command: npx skills add https://github.com/ChenYCL/claude-skills-collection --skill pdf-chenycl
This Skill streamlines the often cumbersome process of interacting with PDF documents, from extracting valuable information to creating new files and automating repetitive tasks.
Use the pdf skill to extract all text from the attached file 'report.pdf'.
High-intent search queries and answers about installing and using this skill.
Extract text and tables from a PDF using pdfplumber to parse structured content and return machine-readable text. This allows you to programmatically isolate document data for downstream processing and analysis.
You can perform OCR on a scanned PDF to get machine-readable text by converting pages to images with pdf2image and applying pytesseract. This process recognizes text within scanned document images for digital extraction.
The best way to merge multiple PDF files or split a large document is using PyPDF2 to concatenate and divide pages. This enables programmatic document manipulation by reordering, splitting, or combining multiple PDF sources.
To fill out a PDF form programmatically and add a watermark, use PyPDF2 and reportlab to inject form data and overlay watermark images. This automates form handling by embedding customizable content directly into existing documents.
This PDF processing approach supports creating new files and encrypting existing ones using reportlab and PyPDF2. You can generate new documents from scratch or apply encryption to secure existing PDF files programmatically.
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