Nougat
Visual transformer that turns scientific PDF pages into markup, math intact.
About
Nougat (Neural Optical Understanding for Academic Documents) is a visual transformer from Meta AI that performs end-to-end OCR on scientific documents. Instead of relying on embedded PDF text, it reads the rasterized page image and generates a lightweight markup language, which lets it recover semantic structure that conventional extraction loses, especially mathematical expressions and tables.
The model pairs a Swin Transformer vision encoder with an mBART text decoder and was trained on millions of academic papers from arXiv and PubMed via an automated PDF-to-source matching pipeline. It outperformed GROBID and raw PDF text extraction in the paper's evaluations and can handle scanned documents. Meta released the models and code (arXiv 2308.13418, August 2023); check the Hugging Face model card for current license terms before commercial use.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 79; Trending score 72/100 from researcher assessment.