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DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body...

DeepSeek-V4.1-Flash-1017 is an open-weight multimodal AI model developed by DeepSeek, designed for advanced reasoning, coding, agentic workflows, and visual understanding. As an updated version of DeepSeek-V4.1-Flash, it delivers improved performance across complex problem-solving, software engineering, autonomous task execution, and image-based reasoning. The model features 763 billion parameters and supports a context window of up to 1 million tokens, enabling it to process extensive...

DeepSeek-V4.1-Flash is an open-weight multimodal AI model developed by DeepSeek, designed for advanced reasoning, software engineering, agentic workflows, and long-context processing. Built on a Mixture-of-Experts (MoE) architecture with 763 billion total parameters, including a 552-billion-parameter backbone, the model combines high-performance intelligence with efficient inference through selective parameter activation. It supports a context window of up to 1 million tokens, enabling...