GOT (General OCR Theory) Unveiled: A Revolutionary OCR-2.0 Model That Streamlines Text Recognition Across Multiple Formats with Unmatched Efficiency and Precision

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The GOT (General OCR Theory) model introduces a unified approach to Optical Character Recognition, outperforming traditional OCR-1.0 systems in efficiency and precision. Developed by StepFun, Megvii Technology, the University of Chinese Academy of Sciences, and Tsinghua University, GOT can handle a wide array of text formats, from plain text to complex optical characters. The model features a high-compression encoder and a long-context decoder with 580 million parameters, delivering impressive performance across various languages and text types. The inclusion of dynamic resolution strategies and multi-page OCR capabilities enhances its practical application in demanding scenarios.