Image OCR API

import requests

url = "https://api.imagehq.io/v1/ocr"
payload = {
  "operation": "extract_text",
  "options": {
    "detect_orientation": True,
    "language": "eng",
    "output_format": "txt"
  },
  "tool_slug": "image-to-text"
}
files = [("files[]", open("image.png", "rb"))]
data = {"request": json.dumps(payload)}

response = requests.post(url, files=files, data=data)
print(response.json())

const form = new FormData();
form.append("files[]", file);
form.append("request", JSON.stringify({
  "operation": "extract_text",
  "options": {
    "detect_orientation": true,
    "language": "eng",
    "output_format": "txt"
  },
  "tool_slug": "image-to-text"
}));

const response = await fetch("https://api.imagehq.io/v1/ocr", {
  method: "POST",
  headers: { "Idempotency-Key": crypto.randomUUID() },
  body: form
});

const data = await response.json();
console.log(data);

const form = new FormData();
form.append("files[]", file);
form.append("request", JSON.stringify({
  "operation": "extract_text",
  "options": {
    "detect_orientation": true,
    "language": "eng",
    "output_format": "txt"
  },
  "tool_slug": "image-to-text"
}));

const response = await fetch("https://api.imagehq.io/v1/ocr", {
  method: "POST",
  headers: { "Idempotency-Key": crypto.randomUUID() },
  body: form
});

const data = await response.json();
console.log(data);

curl -X POST "https://api.imagehq.io/v1/ocr" \
  -H "Idempotency-Key: $(uuidgen)" \
  -F "files[]=@image.png" \
  -F 'request={"operation":"extract_text","options":{"detect_orientation":true,"language":"eng","output_format":"txt"},"tool_slug":"image-to-text"}'

$client = new GuzzleHttp\Client();
$response = $client->post("https://api.imagehq.io/v1/ocr", [
  "multipart" => [
    ["name" => "files[]", "contents" => fopen("image.png", "r")],
    ["name" => "request", "contents" => '{"operation":"extract_text","options":{"detect_orientation":true,"language":"eng","output_format":"txt"},"tool_slug":"image-to-text"}']
  ]
]);

require "faraday"

response = Faraday.post("https://api.imagehq.io/v1/ocr") do |req|
  req.headers["Idempotency-Key"] = SecureRandom.uuid
  req.body = { "files[]" => Faraday::UploadIO.new("image.png", "image/png"), "request" => '{"operation":"extract_text","options":{"detect_orientation":true,"language":"eng","output_format":"txt"},"tool_slug":"image-to-text"}' }
end

body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
writer.WriteField("request", `{"operation":"extract_text","options":{"detect_orientation":true,"language":"eng","output_format":"txt"},"tool_slug":"image-to-text"}`)
file, _ := writer.CreateFormFile("files[]", "image.png")
_ = file
writer.Close()
http.Post("https://api.imagehq.io/v1/ocr", writer.FormDataContentType(), body)

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create("https://api.imagehq.io/v1/ocr"))
  .header("Idempotency-Key", UUID.randomUUID().toString())
  .POST(HttpRequest.BodyPublishers.ofString("multipart form data"))
  .build();

using var form = new MultipartFormDataContent();
form.Add(new StringContent('{"operation":"extract_text","options":{"detect_orientation":true,"language":"eng","output_format":"txt"},"tool_slug":"image-to-text"}'), "request");
form.Add(new StreamContent(File.OpenRead("image.png")), "files[]", "image.png");
await httpClient.PostAsync("https://api.imagehq.io/v1/ocr", form);

var request = URLRequest(url: URL(string: "https://api.imagehq.io/v1/ocr")!)
request.httpMethod = "POST"
request.setValue(UUID().uuidString, forHTTPHeaderField: "Idempotency-Key")
// Attach multipart files[] and request fields before sending.