Extract text, tables, and form data from PDF files.
npx skills add https://github.com/pycode4micro/bushserver --skill pdf-pycode4micro
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/pycode4micro/bushserver/tree/main/src/bushserver/seeds/skills/package/pdf Command: npx skills add https://github.com/pycode4micro/bushserver --skill pdf-pycode4micro
This Skill removes the manual effort of working with PDFs by letting you extract text/tables, handle scanned documents via OCR-ready workflows, and fill or annotate PDF forms quickly and consistently.
Use the pdf skill when the user provides a PDF file name like document.pdf or requests creating/editing/filling a PDF.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a PDF, this Skill uses pdfplumber to convert page content into plain text and structured tables. It transforms proposals and financial reports into searchable content and spreadsheet-ready data for analysis.
Yes, you can automate PDF form filling for both fillable and non-fillable documents. It detects fillable fields for value injection, and uses coordinate-driven text annotations with structure-then-visual coordinate refinement for non-fillable PDFs.
The best way to merge, split, or watermark PDFs is by combining pypdf and pdfplumber for deterministic transformations. This Skill handles document manipulation by processing structural changes to produce the exact output format needed.
PDF text extraction supports scanned documents through OCR-ready workflows. By integrating pdf2image, PIL, and pytesseract, it prepares scanned pages for visual processing and optical character recognition to derive usable text.
Coordinate mapping for non-fillable PDFs works by calculating precise text annotation positions using structure-then-visual coordinate refinement. It transforms coordinates between image and PDF spaces to place text accurately on the document.
You need optional poppler and qpdf tooling installed to handle advanced PDF encryption, decryption, and certain transformations. These dependencies supplement pypdf and pdf2image to ensure deterministic processing of complex documents.
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