Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...
LiteParse, developed by Llama Index, addresses common challenges in parsing complex documents, such as misaligned tables and inflexible layouts, by focusing on structured data extraction while ...
We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...
Abstract: Providing people with visual and physical limitations their ability to access textual content continues to be a difficult challenge. A desktop-assisted system with automated computer ...
As Red Teamers, we often find information in SharePoint that can be useful for us in later attacks. As part of this we regularly want to download copies of the file, or parts of their contents. In ...
Abstract: This paper presents a comparative study of key metrics for OCR engines in Bangla language processing. PyTesseract (a Python wrapper for Tesseract OCR) and EasyOCR were benchmarked on a novel ...