pdf▌

This skill enables conversion from PDF to editable Word documents using pdf2docx - a Python library that preserves layout, tables, images, and text formatting. Unlike OCR-based solutions, pdf2docx extracts native PDF content for accurate conversion.

Convert PDF files to Markdown with automatic detection of native text vs scanned documents. \n \n Supports three conversion modes: auto-detect (default), native text extraction, and OCR for scanned PDFs \n Fast JavaScript-based processing with no system dependencies; returns JSON output with page count and conversion mode \n Handles basic table structure preservation and works cross-platform on Windows, macOS, and Linux \n OCR for scanned documents requires optional tesseract.js setup; complex m

Convert PDF files to various formats and vice versa while preserving formatting.

Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.

Pull Saizeriya Singapore's current menu (Grand, Lunch, Kids) and 44-outlet directory as structured data via deterministic static-URL GETs — the site exposes no JSON API, but its three versioned PDF endpoints plus /menu/ HTML index function as one.

Download Apple's quarterly Condensed Consolidated Financial Statements PDF from apple.com/newsroom and POST it to Reducto's /extract endpoint with a JSON Schema to return structured revenue, segment + product breakdowns, EPS, and balance-sheet line items. Read-only.

Use this skill when:

Translate PDF documents to any language while preserving layout, colors, and styling. \n \n Three-step workflow: extract text strings, create a JSON translation mapping, then apply translations with language-specific font selection \n Supports five font families covering Latin languages, Simplified Chinese, Traditional Chinese, Japanese, and Korean \n CJK fonts automatically scale to 90% for optimal text fitting within original PDF boundaries \n Preserves all original formatting including colors

Generate professional PDFs from markdown files using Pandoc with Eisvogel template styling. Supports English and Russian documents with customizable themes, table of contents, and professional typography including EB Garamond font for Russian text.

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.