dots.ocr is a powerful, multilingual document parser that unifies layout detection and content recognition within a single vision-language model while maintaining good reading order. Despite its ...
Abstract: Farmers in rural areas often struggle to access crucial agricultural information due to language barriers, low literacy rates, and limited exposure to digital tools. While many can write in ...
Abstract: This paper introduces an integrated framework that enables Large Language Models to interact with handwritten documents by converting them into machine readable text. The methodology ...
This project provides an end-to-end solution for recognizing Arabic handwritten, printed text, and Arabic numbers from images and documents on a given template document. The system efficiently detects ...
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