Extract text, tables, and images from PDFs using Python libraries.
npx skills add https://github.com/miriamdong/mstack --skill pdf-miriamdong
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/miriamdong/mstack/tree/main/pdf Command: npx skills add https://github.com/miriamdong/mstack --skill pdf-miriamdong
PDF documents often require manual, repetitive tasks such as extracting text and tables, merging or splitting files, filling forms, or extracting images. This skill centralizes and automates these workflows to save time and reduce errors.
Use this skill to read a PDF and extract text using Python libraries.
High-intent search queries and answers about installing and using this skill.
PDF text and table extraction is automated using pdfplumber and pypdf to parse structured data and index content. The skill handles reading documents, pulling text, and parsing tabular data for administrative workflows and data digitization.
Merging, splitting, rotating, and watermarking PDF files is supported through PyPDF-based tooling. The skill applies these document edits programmatically, enabling automated archiving and preparation of PDFs for sharing.
OCR on scanned PDFs is supported as an optional feature using pdf2image alongside pypdf and pdfplumber. This allows text extraction from image-based documents that lack embedded text layers.
Automating PDF form filling is handled by PyPDF-based tooling with input validation and error handling. The skill digitizes forms by applying edits programmatically, reducing manual repetitive tasks.
Image extraction from PDFs is performed using pypdf and pdf2image libraries. The skill automates pulling embedded images from documents, supporting workflows that require archiving or separating visual content from text.
Complex PDF layout parsing relies on pdfplumber and pypdf, which may have constraints with highly irregular structures. The skill includes input validation and error handling to manage extraction failures, but scanned documents require the optional OCR layer.
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