
Donut
OCR-free document understanding transformer from Naver, ECCV 2022.
About
Donut (Document Understanding Transformer) is an OCR-free, end-to-end transformer for visual document understanding from Naver Clova. Rather than chaining an external OCR engine to a language model, Donut reads the document image directly and generates structured output, reaching state-of-the-art results on visual document classification and information extraction tasks like receipt parsing.
The work also introduced SynthDoG, a synthetic document generator that makes pretraining flexible across languages and domains. The paper appeared at ECCV 2022 (arXiv 2111.15664). Donut became a foundational reference for the OCR-free document AI line that later models like Nougat built on; verify the repository license before commercial deployment.
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 70/100 from researcher assessment.