Extract text, tables, and media from PDF files using pypdf and pdfplumber.
npx skills add https://github.com/XWIlluDelu/agent-share --skill pdf-xwilludelu
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/XWIlluDelu/agent-share/tree/main/lib/pdf Command: npx skills add https://github.com/XWIlluDelu/agent-share --skill pdf-xwilludelu
PDFs are difficult to work with using copy-and-paste alone, especially when you need reliable text extraction, form filling, or page-level transformations.
Ask the pdf skill to fill a PDF form by using a provided fields.json and produce a filled output PDF.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a scanned PDF, the process renders pages using pdf2image and applies pytesseract OCR. It maps page content into actionable coordinates to reliably digitize documents, extracting layout-oriented text that standard copy-and-paste misses.
To programmatically fill a PDF form, you provide a fields.json file mapping values to fillable fields. The skill detects available form fields and outputs a completed PDF, or uses coordinate-based placement to add annotations to non-fillable forms.
Yes, you can merge, split, rotate pages, and add watermarks to PDF files. It supports batch processing for document digitization and operational use, handling page-level transformations reliably using libraries like pypdf and qpdf.
Yes, it processes both native and scanned PDFs. For native documents, pdfplumber extracts text and tables directly. For scanned inputs, it renders pages and applies pytesseract OCR to map content into actionable text and coordinates.
The best way to extract embedded images from PDFs is using the built-in page transformation features. It leverages libraries like PIL and pypdfium2 to isolate and export embedded media, integrating image extraction into broader document digitization workflows.
Text extraction fails on scanned PDFs because they contain images rather than embedded text. Standard parsing with pdfplumber returns nothing, requiring the skill to render pages with pdf2image and apply pytesseract OCR to recognize the text.
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metaid-developersExtract text and tables from PDFs using pypdf and pdfplumber.
