olmOCR vs Chandra
OlmOCR is faster; only Chandra supports forms, bounding boxes, multilingual.
olmOCRallenai/olmocr | Chandradatalab/chandra | |
|---|---|---|
| Type | Open source | Open source |
| Price | 2 credits / page | 2 credits / page |
| Per 1,000 pages | $2.00 | $2.00 |
| Typical speed | 1.5 s / page | 2.0 s / page |
| Best for | Bulk PDF to text for datasets | Complex layouts and handwriting |
| Inputs | PDF, images | PDF, images |
| Languages | Mainly English | 40+ languages |
| Max pages per request | 1,000 | 500 |
| Tables | ✓ Yes | ✓ Yes |
| Handwriting | ✓ Yes | ✓ Yes |
| Math | ✓ Yes | ✓ Yes |
| Bounding boxes | No | ✓ Yes |
| Confidence | No | No |
| Forms | No | ✓ Yes |
| Multilingual | No | ✓ 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
olmOCR
Open-source vision model from Ai2 that turns PDFs into clean, reading-order text.
olmOCR detailsChandra
Datalab's OCR model that keeps layout and handles forms, tables and handwriting.
Chandra detailsUse one, fall back to the other
Request body
{
"model": "allenai/olmocr",
"fallbacks": ["datalab/chandra"],
"file_url": "https://example.com/document.pdf"
}