Nougat is a visual transformer model developed by Meta AI designed to convert document images into structured text, particularly excelling in parsing complex academic papers, including math equations, without needing OCR text. It uses a visual transformer encoder-decoder architecture, with a Swin Transformer for encoding and autoregressive self-attention for text generation. Trained on millions of papers from arXiv and PubMed, Nougat effectively understands research paper formatting. Available through the Clarifai Platform, Nougat can be run using Python, Javascript, and other programming languages. Its applications include research paper parsing, data extraction, and text summarization, enhancing accessibility and utility of academic content for research and analysis.