PDF Extraction
Precise extraction of text, tables, images, and metadata from PDF documents using pdfplumber library. Supports character-level positioning, advanced table detection, layout preservation, and visual debugging for accurate data extraction.
🚀 Extract text, tables, and metadata from PDF documents with precision. This skill uses pdfplumber to access detailed document structure, including character positions, word locations, and table layouts. Simply upload your PDF and specify what you need—text from specific pages, tables converted to CSV, invoice details, or complete document metadata.
💡 Perfect for automating data extraction from financial reports, invoices, contracts, and forms. Convert PDF tables to structured formats, search for specific information, and process multiple documents efficiently without manual copying and pasting.
✨ Unlike basic PDF readers, this skill provides character-level precision, accurate table detection, and visual debugging capabilities for reliable results every time.
Requirements
Python library for precise PDF text, table, and metadata extraction with character-level positioning
Python 3.6+ runtime environment