DeepSeek-OCR is an advanced open-weight OCR model from DeepSeek, designed to extract structured text, formulas, and tables from complex documents with high accuracy. It utilizes a sophisticated two-stage vision-language architecture, combining a vision encoder based on SAM and CLIP with a 3B-parameter Mixture-of-Experts decoder, allowing for efficient text generation and processing of up to 200K pages per day on a single A100 GPU. The model can be accessed via the Clarifai Playground for interactive testing or through an OpenAI-compatible API using a Personal Access Token. This framework offers significant improvements in handling dense documents, maintaining low GPU usage, and achieving high compression rates. Users can engage with DeepSeek-OCR through local image files or image URLs and integrate it into applications using compatible SDKs.