Nanonets-OCR vs Donut
Donut is cheaper per page; Donut is faster; only Nanonets-OCR supports tables, math, multilingual.
Nanonets-OCRnanonets/nanonets-ocr | Donutnaver/donut | |
|---|---|---|
| Type | Open source | Open source |
| Price | 2 credits / page | 1 credit / page |
| Per 1,000 pages | $2.00 | $1.00 |
| Typical speed | 1.8 s / page | 1.0 s / page |
| Best for | Markdown with semantic tags | Receipt and form fields after fine-tuning |
| Inputs | PDF, images | images |
| Languages | Multilingual | English, Chinese, Japanese, Korean |
| Max pages per request | 500 | 100 |
| Tables | ✓ Yes | No |
| Handwriting | No | No |
| Math | ✓ Yes | No |
| Bounding boxes | No | No |
| Confidence | No | No |
| Forms | ✓ Yes | ✓ Yes |
| Multilingual | ✓ Yes | No |
| On OCRRouter | Coming soon | Coming soon |
Prices are what you pay on OCRRouter. Speed is the provider's typical figure, not a benchmark we ran.
What each one is
Nanonets-OCR
Open image-to-Markdown model that tags tables, equations, signatures, watermarks and checkboxes.
Nanonets-OCR detailsDonut
OCR-free document understanding model. Fine-tuned for receipts, forms and document Q&A.
Donut detailsUse one, fall back to the other
Request body
{
"model": "nanonets/nanonets-ocr",
"fallbacks": ["naver/donut"],
"file_url": "https://example.com/document.pdf"
}