Extract text and tables from PDFs using Python libraries.
npx skills add https://github.com/mainza-ai/milimovideo --skill pdf-mainza-ai
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/mainza-ai/milimovideo/tree/main/skills/skills/pdf Command: npx skills add https://github.com/mainza-ai/milimovideo --skill pdf-mainza-ai
PDF workflows are often scattered across multiple tools and formats; this skill centralizes reading, editing, and securing PDFs to streamline document handling.
Process a PDF to extract text and tables, merge documents, and perform OCR as needed.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a PDF, you can parse document streams using pdfplumber. This approach reads structured text and tabular data directly from standard PDF files.
Yes, you can perform OCR on a scanned PDF to make it searchable. By rendering pages with pdf2image, the skill applies OCR to convert scanned document images into machine-encoded text.
You can merge, split, and rotate PDF pages by using pypdf to manipulate document structures. This enables combining multiple documents, dividing large files, and reorienting specific pages safely.
Yes, pypdf supports filling both fillable and non-fillable PDF forms with safe validation. The skill handles form processing by parsing streams and applying data to document fields securely.
The best way to secure a PDF with encryption and watermarks is by applying pypdf for document encryption and overlay rendering. This adds access restrictions and visual security marks to protect your file.
A limitation when extracting images from PDF files is that complex embedded objects may require rendering via pdf2image. This ensures accurate image extraction from parsed streams when standard parsing falls short.
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