Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing

dots.ocr is an open-source, 1.7-billion-parameter vision-language transformer model that advances multilingual document layout parsing and OCR by integrating layout detection and content recognition into a unified architecture. Supporting over 100 languages and various document formats, it streamlines workflows by eliminating the need for separate detection and OCR pipelines, allowing task switching through input prompts and accommodating both images and PDFs with preprocessing options for enhanced accuracy. The model achieves state-of-the-art performance on multilingual document parsing benchmarks, accurately extracting plain text, tabular data, and mathematical formulas while preserving document structure and reading order. Its flexible output