Extract text and tables from PDFs using pypdf and pdfplumber.
npx skills add https://github.com/yibozhong/skills --skill pdf-yibozhong
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/yibozhong/skills/tree/main/pdf Command: npx skills add https://github.com/yibozhong/skills --skill pdf-yibozhong
This skill automates a wide range of PDF tasks, including reading and extracting text and tables, merging or splitting PDFs, rotating pages, adding watermarks, creating new PDFs, filling forms, encrypting/decrypting PDFs, extracting images, and performing OCR on scanned PDFs to make content searchable.
Please extract all text from a PDF and save it to a text file.
High-intent search queries and answers about installing and using this skill.
PDF text and table extraction uses pdfplumber to pull content into usable formats for invoice data extraction. It reads document structures directly, enabling automated parsing of text and tabular data from digital PDFs across document-heavy workflows.
OCR on scanned PDF documents converts images into searchable text using pdf2image and Pillow. This process renders scanned pages as images, then applies optical character recognition to digitize archival content and make previously static documents searchable.
Merging multiple PDFs or splitting documents is handled through pypdf composition operations. It automates PDF tasks end-to-end by combining multiple files into one or dividing a single document into separate pages without manual intervention.
PDF form filling includes validation and safe fallbacks for non-fillable forms. When encountering non-fillable documents, the process validates the form structure and applies alternative handling methods to ensure data input succeeds across various document types.
Watermarking and encrypting a PDF secures contract distribution by overlaying text or images and applying password protection. These features ensure sensitive documents remain protected during archival digitization and secure distribution workflows.
Automating PDF processing requires pypdf, pdfplumber, pdf2image, and Pillow libraries. These dependencies handle text extraction, image rendering, document composition, and OCR, providing the environment needed to execute comprehensive PDF automation workflows.
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