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Tom’s Hardware
Tom’s Hardware
Technology
Jon Martindale

New Deepseek model drastically reduces resource usage by converting text and documents into images — 'vision-text compression' uses up to 20 times fewer tokens

Deepseek logo on an iPhone.

Chinese developers of Deepseek AI have released a new model that leverages its multi-modal capabilities to improve the efficiency of its handling of complex documents and large blocks of text, by converting them into images first, as per SCMP. Vision encoders were able to take large quantities of text and convert them into images, which, when accessed later, required between seven and 20 times fewer tokens, while maintaining an impressive level of accuracy.

Deepseek is the Chinese-developed AI that shocked the world in early 2025, showcasing capabilities similar to those of OpenAI's ChatGPT, or Google's Gemini, despite requiring far less money and data to develop. The creators have continued to work on making the AI more efficient since, and with the latest release known as DeepSeek-OCR (optical character recognition), the AI can deliver an impressive understanding of large quantities of textual data without the usual token overhead.

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