DeepSeek OCR 2 is a vision-language model from the deepseek-ai organization, distributed as open weights under the Apache License 2.0 on the official Hugging Face repository deepseek-ai/DeepSeek-OCR-2. It is positioned as an end-to-end document reading and OCR system designed around a vision-first approach, which lets it interpret pages as images rather than relying solely on extracted text streams. This makes the model particularly useful for scanned PDFs, photographed documents, and other image-heavy inputs where traditional text extraction tends to fail or lose structure.
The model's central design goal is preserving the natural reading order of complex documents, including multi-column layouts, forms, tables, and mathematical formulas, rather than flattening a page into a fixed raster scan from top-left to bottom-right. That emphasis on learned reading order is what enables more reliable downstream workflows such as searchable PDF indexing and page-by-page question answering, where each rendered page image can be OCR-processed in mini-batches and incrementally added to a retrieval index. Because the weights are openly licensed and the model can be served through stacks like vLLM, DeepSeek OCR 2 fits well into self-hosted document understanding pipelines that need a capable open-source alternative for vision-based extraction.
