Extract, merge, split, create, and fill PDF documents using Python libraries and command-line tools.
npx skills add https://github.com/pchemguy/AISandbox --skill pdf-pchemguy
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/pchemguy/AISandbox/tree/main/docs/AgentSkills/anthropics/skills/skills/pdf Command: npx skills add https://github.com/pchemguy/AISandbox --skill pdf-pchemguy
High-intent search queries and answers about installing and using this skill.
Use pdfplumber's page.extract_tables() method to detect and extract tables from each page. The results can be loaded into pandas DataFrames and exported to Excel or CSV for further analysis.
First run check_fillable_fields.py to detect fillable fields. If fields exist, extract them with extract_form_field_info.py and fill them via fill_fillable_fields.py; otherwise map bounding boxes visually and add text annotations.
pdfplumber is best for text with layout and tables, while pypdf handles basic text, metadata, merging, and encryption. For scanned PDFs, use pdf2image with pytesseract for OCR.
Scanned PDFs contain images, not text layers, so standard parsers fail. Convert pages to images with pdf2image, then run pytesseract OCR on each image to recover the text.
Use qpdf: 'qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf' merges files, and page ranges like '1-5' split documents. Alternatively, pypdf's PdfWriter performs the same operations in Python.
Some viewers need the NeedAppearances flag set to render form values correctly. The fill_fillable_fields.py script calls set_need_appearances_writer(True) to handle this, though viewers may show a save prompt.
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