The article discusses DeepSeek-OCR, an innovative open-source model designed to enhance large language models' ability to process long contexts by converting text into images and treating them as visual tokens. This method significantly reduces computational costs while preserving document structure and meaning, presenting a promising solution for the limitations faced by traditional token-based approaches in handling extensive text.