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POST
/
v1
/
ocr
OCR
curl --request POST \
  --url https://api.example.com/v1/ocr

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Overview

The OCR endpoint extracts text from documents and images, returning clean markdown. Powered by Mistral’s OCR model. Supported formats: PDF, PNG, JPEG, WebP

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Quick Start

curl -X POST https://api.dedaluslabs.ai/v1/ocr \
  -H "Authorization: Bearer $DEDALUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-ocr-latest",
    "document": {
      "type": "document_url",
      "document_url": "https://arxiv.org/pdf/1706.03762"
    }
  }'
For local files, encode as base64 data URI: data:application/pdf;base64, {base64_data}

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Response

{
	"pages": [
		{
			"index": 0,
			"markdown": "# Attention Is All You Need\n\nAshish Vaswani, Noam Shazeer...\n\n# Abstract\n\nThe dominant sequence transduction models..."
		},
		{
			"index": 1,
			"markdown": "## 1 Introduction\n\nRecurrent neural networks..."
		}
	],
	"model": "mistral-ocr-latest"
}

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Use Cases

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Invoice Processing

Extract line items, totals, and dates from invoices for automated bookkeeping.

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Receipt Scanning

Parse receipts for expense tracking—amounts, vendors, dates extracted as structured text.

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Document Digitization

Convert scanned documents to searchable, editable markdown while preserving tables and formatting.

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Parameters

ParameterTypeRequiredDescription
modelstringNoOCR model. Default: mistral-ocr-latest
document.typestringYesAlways document_url
document.document_urlstringYesHTTPS URL or data URI

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Limits

  • Max file size: 50 MB
  • Max pages: 1,000 per document
  • Timeout: 120 seconds
Last modified on April 9, 2026