Projects / AI/ML & Automation / Python PDF Scraper
Automation Tool
Overview:
A powerful PDF parsing and data extraction system capable of handling documents from a few pages to several thousand, used across industries for compliance and reporting.
Extracting structured, tabular, and text data from massive and inconsistent PDFs was error-prone and highly manual.
Built an AI-augmented pipeline that uses OCR, OpenCV, and LLM-based parsing to intelligently extract and classify data from unstructured PDFs.
Scalable from 1 to 4,000+ page PDFs
Auto-classification of fields and tables
Integrated AI parsing with error-handling logic
Python written automated scripts.
Reduced data extraction time by 95% and achieved over 98% accuracy in structured output.
Empowering businesses with AI-driven, full-stack, and blockchain-powered solutions to drive innovation, efficiency, and success.
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