Core Insights - DeepSeek published a paper titled "DeepSeek-OCR: Contexts Optical Compression," highlighting a method to compress text information by rendering long text into images, significantly reducing computational and storage costs [1] - The experimental results showed that at a compression ratio of 10 times, the OCR accuracy reached 97%, and at 20 times compression, it maintained 60% accuracy, indicating the model's effectiveness in handling long documents [1] - The integration of OCR technology with artificial intelligence has become a new trend, with deep learning and neural networks significantly enhancing recognition accuracy in complex scenarios [1] Industry Overview - The global AI-driven OCR market is projected to reach approximately 8.17 billion yuan in 2024 and nearly 13.69 billion yuan by 2031, indicating substantial growth potential [2] - Companies like Hehe Information have established benchmark products in the industry, with an average character recognition rate of 81.9% in complex scenarios, outperforming competitors such as Baidu (70.0%), Tencent (65.0%), and Alibaba (66.9%) [2] - Hanwang Technology has notable advantages in OCR technology, having received a national science and technology progress award, particularly in handwriting recognition and complex scene recognition [2]
DeepSeek上线论文,用OCR技术减少计算和存储开销