dots.ocr: Multilingual Document Layout Parsing in a Single Vision Language Model 🖥️ Live Demo 💬 WeChat 📕 rednote Introduction 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 compact 1.7B parameter LLM foundation, it achieves state of the art(SOTA) performance. 1. Powerful Performance: dots.ocr achieves SOTA performance for text, tables, and reading order on OmniDocBench, while delivering formula recognition results comparable to much larger models like Doubao 1.5 and gemini2.5 pro. 2. Multilingual Support: dots.ocr demonstrates robust parsing capabilities for low resource languages, achieving decisive advantages across both layout detection and content recognition on our in house multilingual documents benchmark. 3. Unified and Simple Architecture: By leveraging a single vision language model, dots.ocr offers a significantly more streamlined architecture than conventional methods that rely on complex, multi model pipelines. Switching between tasks is accomplished simply by altering the input prompt, proving that a VLM can achieve comp…
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