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

​
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

​
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}

​
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"
}

​
Use Cases

​
Invoice Processing

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

​
Receipt Scanning

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

​
Document Digitization

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

​
Parameters

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

​
Limits

  • Max file size: 50 MB
  • Max pages: 1,000 per document
  • Timeout: 120 seconds