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Latest articles and insights about OCR technology
DeepSeek-OCR: The Visual Token Compression Breakthrough
DeepSeek's OCR model isn't just another text recognition tool—it's an efficiency revolution for multimodal AI. Using Context-Aware Optical Compression, it outperforms GOT-OCR2.0's 256 tokens with just 100 visual tokens, achieving 97% accuracy at 10x compression.
Why One Visual Token Beats Ten Text Tokens: Information Theory Lessons from DeepSeek-OCR
Is text really the most efficient way to compress information? DeepSeek-OCR answers with hard data. Through its innovative DeepEncoder architecture, this 380M-parameter encoder achieves 10x compression of visual tokens over text tokens while maintaining 97% accuracy.
DeepSeek-OCR: Beyond OCR, Towards a New Paradigm of Contextual Compression
While AI models keep getting bigger and more boring, DeepSeek-OCR changes the game. With its "optical context compression" approach, it transforms text into images, enabling AI to grasp content at a glance—just like humans do—rather than processing word by word.
AI's JPEG Moment: Why Silicon Valley Can't Stop Raving About DeepSeek-OCR
DeepSeek's latest open-source model has Silicon Valley buzzing—3B parameters, exponential efficiency gains, elegant simplicity, and what some believe is Google Gemini's closely-guarded trade secret, now open-sourced. Andrej Karpathy weighs in: images are better LLM inputs than text.