pdf

You can extract text and tables from a PDF automatically by applying Python libraries like pdfplumber and pypdf combined with command-line tools such as pdftotext. This approach reads document pages and pulls plain text and tabular data into usable formats without manual intervention.

Yes, you can fill both fillable and non-fillable PDF forms using Python by providing structured JSON specifications. The Skill applies these JSON mappings to automate form filling, modifying the PDF document automatically without manual data entry.

PDF extraction works with scanned documents on macOS by applying OCR capabilities. The Skill uses pdf2image and Pillow to render scanned pages into images, then applies OCR to pull the text into editable formats for document processing tasks.

The best way to merge, split, and rotate PDF pages is using Python libraries like pypdf and command-line tools such as qpdf. This Skill manipulates PDF documents automatically, allowing you to restructure pages and create new PDFs without manual intervention.

Yes, you need Python libraries like reportlab and pypdf plus command-line tools including qpdf and pdfimages installed on macOS. These dependencies are required to read, modify, and render PDFs automatically for tasks like invoice digitization and report generation.

PDF table extraction may return misaligned data when scanned pages are processed without OCR or when complex table borders confuse pdfplumber. Applying OCR first to convert scanned images to text, then using pdfplumber, helps pull structured tabular data accurately into usable formats.