Extract, merge, split, create, and fill PDF documents using Python libraries and command-line tools.
npx skills add https://github.com/amirbiron/claude-skills --skill pdf-amirbiron
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/amirbiron/claude-skills/tree/main/skills/pdf Command: npx skills add https://github.com/amirbiron/claude-skills --skill pdf-amirbiron
High-intent search queries and answers about installing and using this skill.
Use pdfplumber to extract text with layout preservation and detect tables via page.extract_tables(). For basic text extraction, pypdf's page.extract_text() works, while pdftotext from poppler-utils is fastest for plain text.
Extract the form structure with pdfplumber to get label and checkbox coordinates, then create a fields.json with entry bounding boxes and fill it using text annotations via pypdf's FreeText. Validate bounding boxes first to avoid overlapping or undersized fields.
Use pypdf's PdfWriter to merge PDFs by adding pages from multiple readers, or write each page to a separate file to split. The qpdf command-line tool also handles merging and page-range splitting efficiently.
Scanned PDFs contain images, not text layers, so standard parsers return nothing. Convert pages to images with pdf2image, then run pytesseract OCR on each image to recover the text.
ReportLab's built-in fonts lack Unicode subscript and superscript glyphs, so those characters render as solid boxes. Use the <sub> and <super> XML markup tags inside Paragraph objects instead.
For encrypted PDFs, call reader.decrypt(password) with pypdf or use qpdf --decrypt with the password. For corrupted files, run qpdf --check to diagnose and qpdf's repair options to rebuild the structure.
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