Image Cropping for Documents and Photos API

Automated Pixel Perfect Image Crops in Seconds, Everytime!

Photo Cropping helps you to extract the photograph of a person from any given document. Our API helps to automate various processes to identify and crop photograph from any document for customer onboarding including photo IDs, forms, etc.

    Cutting-Edge Features    

Why Arya Image Cropping?

Effortless AI Precision

Analyze images to locate the photograph and crops it automatically, reducing the manual work

Automate Your Workflow

Save time by processing multiple images simultaneously, delivering high-quality crops in just seconds

Security and Privacy

Your images processed securely with respect for your privacy. We ensure that all data is proccessed in real-time

Easy to Integrate

Integrate our AI cropping tool into your existing workflow with one click integration

An AI Platform that you've
always wanted
With more than 80+ APIs, we stand out as the go-to-platform for developers, consistently delivering unparalleled success rates in driving critical decisions.
200 M+

Annual API Volume

95 %+

Accuracy Rate

720 K

Daily API Volume

< 5 Mins

Time to launch

    Effortless AI For Everyone    

More Reasons To Love Arya AI

Hassle-Free,

No Code Platform

Easy to adopt

& integrate

99.99%

API Success Rate

Reliable &

Secure

    Helpful Resources    

Learn More From Our Resources

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22 May 2024

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6 June 2024

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Sample to try

Check out the API results using samples provided below.

Uploaded File

Drag and drop files

Supports: PDF, JPG, PNG, etc

Drag and drop files

Supports: PDF, JPG, PNG, etc

JSON
 
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Croped Image:


image

Documentation

HTTP Method: Post
Endpoint
{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}
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API Token
{{tokenDisplay}}
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API Token UAT
postman wrapper button
{{tokenUDisplay}}
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Usage and Code Samples

curl --location --request POST '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}' \
--header 'token: < your private token >' \
--header 'content-type: application/json' \
--data-raw '{
		"doc_type":'image',
		"doc_base64": '< base64 string of document >',
		"req_id": '< string >'
	     }'
OkHttpClient client = new OkHttpClient().newBuilder().build();
MediaType mediaType = MediaType.parse("application/javascript");
RequestBody body = RequestBody.create(mediaType, "{ "doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": '< string >'  }");
Request request = new Request.Builder()
	.url("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
	.method("POST", body)
	.addHeader("token", "< your private token >")
	.addHeader("content-type", "application/json")
	.build();
Response response = client.newCall(request).execute();
require "uri"
require "net/http"
url = URI("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Post.new(url)
request["token"] = "< your private token >"
request["content-type"] = "application/json"
request.body = "{"doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": < string >  }"
response = https.request(request)
puts response.read_body
CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
  curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
  curl_easy_setopt(curl, CURLOPT_URL, "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
  curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
  curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
  struct curl_slist *headers = NULL;
  headers = curl_slist_append(headers, "token: < your private token >");
  headers = curl_slist_append(headers, "content-type: application/json");
  curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
  const char *data = "{"doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": < string >  }";
  curl_easy_setopt(curl, CURLOPT_POSTFIELDS, data);
  res = curl_easy_perform(curl);
}
curl_easy_cleanup(curl);
var request = require('request');
var options = {
  'method': 'POST',
  'url': '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}',
  'headers': {
  'token': '< your private token >',
  'content-type':'application/json'
},
body: '{"doc_type":"image", "doc_base64": "< base64 string of document >","req_id": < string >  }'
};
request(options, function (error, response) {
if (error) throw new Error(error);
  console.log(response.body);
});
var client = new RestClient("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
į¹£client.Timeout = -1;
var request = new RestRequest(Method.POST);
request.AddHeader("token", "< your private token >");
request.AddHeader("content-type", "application/json");
var body = @"{" + "" +
@"    "doc_type": 'image'," + "" +
@"    "doc_base64": '< base64 string of document >'," + "" +
@"    "req_id": < string >" + "" +
@"  }";
request.AddParameter("application/json", body,  ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
php
require_once 'HTTP/Request2.php';
$request = new HTTP_Request2();
$request->setUrl('{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}');
$request->setMethod(HTTP_Request2::METHOD_POST);
$request->setConfig(array(
'follow_redirects' => TRUE
));
$request->setHeader(array(
  'token' => '< your private token >',
  'content-type' => 'application/json'
));
$request->setBody('{"doc_type":"image", "doc_base64": "< base64 string of document >","req_id": < string >  }');
try {
  $response = $request->send();
  if ($response->getStatus() == 200) {
  echo $response->getBody();
  }
  else {
  echo 'Unexpected HTTP status: ' . $response->getStatus() . ' ' .
  $response->getReasonPhrase();
  }
}
catch(HTTP_Request2_Exception $e) {
  echo 'Error: ' . $e->getMessage();
}
?>
import requests
url = "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}"
payload = {"doc_type":"image", "doc_base64": "< base64 string of document >", "req_id": < string >  }
headers = {
  'token': '< your private token >',
  'content-type':'application/json'
}
response = requests.request("POST", url, json=payload, headers=headers)
print(response.text)

Request Parameters

Header parameters
Name Description
token String
Body parameters
Name Description
body {
  "req_id" : < string >,
  "doc_base64": < base64 encoded string >
}

Response Parameters

Status: 200 - API Request Successful
Body parameters
Name Description
body {
  "req_id" : < string >,
  "success" : < boolean >,
  "error_message" : < string >,
  "doc_type" : < string >,
  "data" : < dict >,
}

Field Details

Request Field Details
Fields Values/Description
req_id Unique request ID used for processing requests
doc_base64 Base64 encoded string of the document
Response Field Details
Fields Values/Description
req_id Corresponding request id
success Flag if the request is processed successfully
error_message If success is False then: Error message
doc_type Type of document uploaded
data Dictionary