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Mistralmistral-ocr-latest
mistral-ocr-latest is a document to text tool from Mistral that runs in the background and returns structured JSON. Pay as you go from $0.0052 per page, with one API key.
Try itfrom $0.0052 / page
Pricing
$0.0052 per page, or $0.0065 per page with document_annotation_format or bbox_annotation_format. Billed on pages, or the file's page count. The final charge comes from usage.
Limits
- Runs
- In the background
- Returns
- json
- Longest queue wait
- 3600s
- Run deadline
- 1800s
- Largest inline input
- 1024 KB
- Largest input file
- 500 MB
- Largest output
- 4768 MB
- Outputs per run
- 16
Input
| Field | Kind | Default | Description |
|---|---|---|---|
document required | JSON | — | Document to run OCR on |
pages | JSON | — | Specific pages to process. Accepts a list of integers or a string of comma-separated numbers and ranges (e.g. '0,1,2' or '0-5' or '0,2-4'). Page numbers start from 0. |
image_limit | number (whole) | — | Max images to extract |
table_format | one of markdown, html | — | |
extract_footer | true or false | false | Extract the page footer into the response's `footer` field and remove it from the markdown content |
extract_header | true or false | false | Extract the page header into the response's `header` field and remove it from the markdown content |
image_min_size | number (whole) | — | Minimum height and width of image to extract |
include_blocks | true or false | true | Return paragraph-level bounding boxes for all content blocks in the response |
include_image_base64 | true or false | — | Include image URLs in response |
bbox_annotation_format | JSON | — | Structured output class for extracting useful information from each extracted bounding box / image from document. Only json_schema is valid for this field |
document_annotation_format | JSON | — | Structured output class for extracting useful information from the entire document. Only json_schema is valid for this field |
document_annotation_prompt | text | — | Optional prompt to guide the model in extracting structured output from the entire document. A document_annotation_format must be provided. |
confidence_scores_granularity | one of word, page, block | — | Granularity for confidence scores: 'page' (aggregate only), 'word' (per-word scores), or 'block' (per-block scores). Defaults to None (no confidence scores) to keep response payload small. |
Same request in code
curl https://api.spiral.ai/v1/runs \
-H "Authorization: Bearer $SPIRAL_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $(uuidgen)" \
-d '{
"provider": "mistral",
"model": "mistral-ocr-latest",
"input": {
"document": {}
}
}'