'OCR 2.0' model converts images of text, formulas, notes, and shapes into editable text
Researchers have introduced GOT (General OCR Theory), a next-generation Optical Character Recognition 2.0 model that seamlessly transforms images of text, formulas, notes, and shapes into editable digital content. By integrating the precision of traditional OCR technology with the advanced capabilities of large language models, GOT enhances both accuracy and versatility in text recognition.