Nanonets-OCR vs Chunkr
Nanonets-OCR is cheaper per page; Nanonets-OCR is faster; only Nanonets-OCR supports forms; only Chunkr supports bounding boxes.
Nanonets-OCRnanonets/nanonets-ocr | Chunkrchunkr/chunkr | |
|---|---|---|
| Type | Open source | OCR API |
| Price | 2 credits / page | 14 credits / page |
| Per 1,000 pages | $2.00 | $14.00 |
| Typical speed | 1.8 s / page | 3.0 s / page |
| Best for | Markdown with semantic tags | Layout-aware chunks for RAG |
| Inputs | PDF, images | PDF, images, DOCX |
| Languages | Multilingual | Multilingual |
| Max pages per request | 500 | 1,000 |
| Tables | ✓ Yes | ✓ Yes |
| Handwriting | No | No |
| Math | ✓ Yes | ✓ Yes |
| Bounding boxes | No | ✓ Yes |
| Confidence | No | No |
| Forms | ✓ Yes | No |
| Multilingual | ✓ Yes | ✓ Yes |
| 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 detailsChunkr
Document parsing API that segments and chunks pages for RAG. Self-hostable version available.
Chunkr detailsUse one, fall back to the other
Request body
{
"model": "nanonets/nanonets-ocr",
"fallbacks": ["chunkr/chunkr"],
"file_url": "https://example.com/document.pdf"
}