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

url = "https://api.example.com/v1/ocr"

response = requests.post(url)

print(response.text)
const options = {method: 'POST'};

fetch('https://api.example.com/v1/ocr', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.example.com/v1/ocr",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/v1/ocr"

	req, _ := http.NewRequest("POST", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.example.com/v1/ocr")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.example.com/v1/ocr")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body

​
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"
    }
  }'

import httpx
import os

response = httpx.post(
    "https://api.dedaluslabs.ai/v1/ocr",
    headers={"Authorization": f"Bearer {os.environ['DEDALUS_API_KEY']}"},
    json={
        "model": "mistral-ocr-latest",
        "document": {
            "type": "document_url",
            "document_url": "https://arxiv.org/pdf/1706.03762"
        }
    },
    timeout=120.0
)

for page in response.json()["pages"]:
    print(f"Page {page['index']}:\n{page['markdown'][:200]}...")

const response = await fetch("https://api.dedaluslabs.ai/v1/ocr", {
	method: "POST",
	headers: {
		Authorization: `Bearer ${process.env.DEDALUS_API_KEY}`,
		"Content-Type": "application/json",
	},
	body: JSON.stringify({
		model: "mistral-ocr-latest",
		document: {
			type: "document_url",
			document_url: "https://arxiv.org/pdf/1706.03762",
		},
	}),
});

const data = await response.json();
for (const page of data.pages) {
	console.log(`Page ${page.index}:\n${page.markdown.slice(0, 200)}...`);
}
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
Last modified on April 9, 2026