OpenBMB has released two new models focused on Optical Character Recognition (OCR). MiniCPM-OCR 1.0 is a 1.3 billion parameter model designed for parsing both Chinese and English documents. Accompanying this is MiniCPM-OCR Jev, a 2 billion parameter model that evaluates the quality of OCR output by providing a score from 0 to 1. Jev can assess text, formulas, and tables, and is compatible with OCR results from other parsers, making it a useful tool for improving the accuracy of information extracted from documents. AI
IMPACT Provides tools to improve the accuracy of document parsing and OCR output quality, potentially aiding RAG pipelines.
RANK_REASON Release of specialized OCR models by a research lab.
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