Introducing Dots.OCR: Revolutionary Multilingual Document Processing
RedNote AI Lab
Dots.OCR is a groundbreaking 1.7B parameter vision-language model that unifies layout detection and content recognition for multilingual document processing. Despite its compact size, it achieves state-of-the-art performance across text, tables, and reading order while supporting 100+ languages with unprecedented accuracy. This model represents a major breakthrough in OCR technology, capable of not only accurately recognizing text but also understanding document layout structures, including tables, charts, and complex multi-column layouts. Through deep learning and advanced vision-language processing techniques, Dots.OCR can handle documents in various languages, from Latin alphabets to complex writing systems like Chinese and Arabic. The model's compact design enables efficient operation across various hardware environments, from cloud servers to edge devices, providing excellent performance. This offers unprecedented flexibility for enterprises and developers to choose the most suitable deployment solution based on specific requirements.