arxiv Preprint – Nougat: Neural Optical Understanding for Academic Documents

In this episode we discuss Nougat: Neural Optical Understanding for Academic Documents
by Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic. The paper introduces Nougat, a neural optical understanding model for academic documents. Nougat utilizes a Visual Transformer model and Optical Character Recognition (OCR) to convert scientific documents into a markup language, bridging the gap between human-readable and machine-readable text. The method is versatile, capable of processing scanned papers and books, and includes a pre-trained model and code on GitHub, as well as a pipeline for creating datasets.