What problem does it solve? Working with PDF files programmatically is fragmented across many libraries and tools, making tasks like text extraction, merging, form filling, and OCR error-prone and time-consuming without clear guidance. ## Core Features & Use Cases - PDF Manipulation: Merge, split, rotate, encrypt, decrypt, watermark, and crop PDFs using pypdf, qpdf, and pdftk. - Content Extraction: Extract text, tables, metadata, and embedded images with pdfplumber, pdftotext, and pdfimages, including OCR for scanned documents via pytesseract. - PDF Creation & Form Filling: Generate new PDFs with reportlab and fill both fillable and non-fillable PDF forms using dedicated scripts with coordinate validation. - Use Case: Given a stack of scanned vendor invoices, convert them to images, run OCR to extract text, pull out table data into a spreadsheet, and merge the results into a single report PDF. ## Quick Start Ask the assistant to extract all text and tables from your PDF file, or to merge several PDFs into one document.