Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
GitHub

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across diverse visual reasoning tasks. However, their capabilities in text-rich image reasoning tasks ...
IEEE

Arabic Handwritten Document OCR Solution with Binarization and Adaptive Scale Fusion Detection

Abstract: The problem of converting images of text into plain text is a widely researched topic in both academia and industry. Arabic handwritten Text Recognation (AHTR) poses additional challenges ...
IEEE

Extraction of Text from Images using Document Understanding Transformer (Donut)

Abstract: Comprehending visual document images, like bills, is a challenging task that necessitates text extraction and a thorough comprehension of the document’s contents. This is addressed by visual ...