dots.ocr is a powerful multimodal document processing system based on the Vision-Language Fusion Architecture (VLM) with a parameter size of 1.7 billion. The model uses a unified neural network framework to realize end-to-end processing of document layout recognition and content parsing, and has reached the state-of-the-art level in international benchmark tests such as OmniDocBench. Its core advantage lies in the fact that a single model accomplishes complex tasks that traditionally require the collaboration of multiple specialized models, including text detection, table recognition, formula extraction, etc., which significantly improves processing efficiency. The model is especially optimized for its ability to support 100 languages, including many small languages with scarce resources.
This answer comes from the articledots.ocr: a unified visual-linguistic model for multilingual document layout parsingThe
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