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Combat Identity Frauds with Advanced Deepfake Detection

The Deepfake Detection API employs advanced algorithms and deep learning techniques to distinguish genuine content from manipulated digital media. This ensures the credibility of visual content like images and videos in various applications like Identity verification, and more. Thus safeguarding against the rising threat of deepfake creations and identity fraud. Integrate this API seamlessly for enhanced security while seamlessly detecting potential fraud in your digital environment.

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Learn More From Our Resources

Blog
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9 May 2024

Top deepfake detection tools to know in 2024 [Complete Guide]

Deepfake is an astonishing technology that has been blurring the lines between...

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15 May 2024

Addressing the Implications of Deepfakes in Election Seasons

As 2024 matures, we all witness an astonishing year for democracy and technology...

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28 May 2024

Introducing Deepfake Audio Detection [Product Update]

In an age where technology continuously blurs the lines between reality and fabrication...

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Samples to try

Check out the API results using samples provided below.

Drag and drop files
or Click to browse file

Supports: PDF, JPG, PNG, etc

Drag and drop files
or Click to browse file

Supports: PDF, JPG, PNG, etc

{{upload_type != 'audio' ? 'Your document is processed successfully.' : 'Your Audio is processed successfully.'}}

JSON

{{output.body.result |capitalize }}

Real Audio Confidence: {{output.body.confidence.real*100}}% (This part is likely real) of duration {{output.body.real_duration}}

Fake Audio Confidence: {{output.body.confidence.fake*100}}% (This part is likely fake) of duration {{output.body.fake_duration}}

 
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Documentation

HTTP Method: Post
Endpoint
{{url}}/api/v1/deepfake-detection/{{upload_type}}
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API Token
Regenerate
{{tokenDisplay}}
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API Token UAT
postman wrapper button
{{tokenUDisplay}}
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Usage and Code Samples

curl --location --request POST '{{url}}/api/v1/deepfake-detection/{{upload_type}}' \
--header 'token: < your private token >' \
--header 'content-type: application/json' \
--data-raw '{
    "doc_base64": '< base64 string of image / video>',
    "req_id": '< req id string>'
    "isIOS": '< boolean>',
    "doc_type": '< string (video/image)>',
    "orientation": '< int>'
	}'
curl --location --request POST '{{url}}/api/v1/deepfake-detection/{{upload_type}}' \
			--header 'token: < your private token >' \
			--header 'content-type: application/json' \
			--data-raw '{
				"doc_base64": '< base64 string of audio>',
				"req_id": '< req id string>'
				}'
OkHttpClient client = new OkHttpClient().newBuilder().build();
MediaType mediaType = MediaType.parse("application/javascript");
RequestBody body = RequestBody.create(mediaType, "{ "doc_base64": '< base64 string of image / video >',"req_id": '< req id string >', "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >'  }");
Request request = new Request.Builder()
	.url("{{url}}/api/v1/deepfake-detection/{{upload_type}}")
	.method("POST", body)
	.addHeader("token", "< your private token >")
	.addHeader("content-type", "application/json")
	.build();
Response response = client.newCall(request).execute();
OkHttpClient client = new OkHttpClient().newBuilder().build();
	MediaType mediaType = MediaType.parse("application/javascript");
	RequestBody body = RequestBody.create(mediaType, "{ "doc_base64": '< base64 string of audio >',"req_id": '< req id string >'  }");
	Request request = new Request.Builder()
		.url("{{url}}/api/v1/deepfake-detection/{{upload_type}}")
		.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("{{url}}/api/v1/deepfake-detection/{{upload_type}}")
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_base64": '< base64 string of image / video >',"req_id": < req id string >, "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >',  }"
response = https.request(request)
puts response.read_body
require "uri"
	require "net/http"
	url = URI("{{url}}/api/v1/deepfake-detection/{{upload_type}}")
	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_base64": "< base64 string of audio >","req_id": < 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, "{{url}}/api/v1/deepfake-detection/{{upload_type}}");
  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_base64": '< base64 string of image / video >',"req_id": < req id string >, "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >',  }";
  curl_easy_setopt(curl, CURLOPT_POSTFIELDS, data);
  res = curl_easy_perform(curl);
}
curl_easy_cleanup(curl);
CURL *curl;
	CURLcode res;
	curl = curl_easy_init();
	if(curl) {
	  curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
	  curl_easy_setopt(curl, CURLOPT_URL, "{{url}}/api/v1/deepfake-detection/{{upload_type}}");
	  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_base64": "< base64 string of audio >","req_id": < 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': '{{url}}/api/v1/deepfake-detection/{{upload_type}}',
  'headers': {
  'token': '< your private token >',
  'content-type':'application/json'
},
body: '{"doc_base64": "< base64 string of image / video >","req_id": < req id string >, "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >' }'
};
request(options, function (error, response) {
if (error) throw new Error(error);
  console.log(response.body);
});
var request = require('request');
	var options = {
	  'method': 'POST',
	  'url': '{{url}}/api/v1/deepfake-detection/{{upload_type}}',
	  'headers': {
	  'token': '< your private token >',
	  'content-type':'application/json'
	},
	body: '{"doc_base64": "< base64 string of audio >","req_id": < req id string > }'
	};
	request(options, function (error, response) {
	if (error) throw new Error(error);
	  console.log(response.body);
	});
var client = new RestClient("{{url}}/api/v1/deepfake-detection/{{upload_type}}");
ṣclient.Timeout = -1;
var request = new RestRequest(Method.POST);
request.AddHeader("token", "< your private token >");
request.AddHeader("content-type", "application/json");
var body = @"{" + "" +
@"    "doc_base64": '< base64 string of image / video >'," + "" +
@"    "req_id": < req id string >" + "" +
@"    "isIOS": < boolean >" + "" +
@"    "orientation": < int >" + "" +
@"    "doc_type": < string (video/image)  >" + "" +
@"  }";
request.AddParameter("application/json", body,  ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
var client = new RestClient("{{url}}/api/v1/deepfake-detection/{{upload_type}}");
	ṣclient.Timeout = -1;
	var request = new RestRequest(Method.POST);
	request.AddHeader("token", "< your private token >");
	request.AddHeader("content-type", "application/json");
	var body = @"{" + "" +
    @"    "doc_base64": '< base64 string of audio >'," + "" +
    @"    "req_id": < 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('{{url}}/api/v1/deepfake-detection/{{upload_type}}');
$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_base64": "< base64 string of image / video >","req_id": < req id string >,  "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >'  }');
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();
}
?>
php
	require_once 'HTTP/Request2.php';
	$request = new HTTP_Request2();
	$request->setUrl('{{url}}/api/v1/deepfake-detection/{{upload_type}}');
	$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_base64": '< base64 string of audio >',"req_id": '< 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 = "{{url}}/api/v1/deepfake-detection/{{upload_type}}"
payload = {"doc_base64": "< base64 string of image / video >", "req_id": < req id string >, "isIOS": '< boolean >', "doc_type": '< string (video/image) >', "orientation":  '< int >',  }
headers = {
  'token': '< your private token >',
  'content-type':'application/json'
}
response = requests.request("POST", url, json=payload, headers=headers)
print(response.text)
import requests
	url = "{{url}}/api/v1/deepfake-detection/{{upload_type}}"
	payload = {"doc_base64": '< base64 string of audio >',"req_id": '< 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>
  "doc_type": < string>
  "isIOS": < boolean >
  "orientation": < int >
} 		{
  "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> ,
  "result" : < string > ,
} 		{
  "success" : < boolean>,
  "is_real" : < boolean>,
  "confidence" : < dict>,
  "error_message" : < string> ,
  "result" : < string > ,
}

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
doc_type Type of document uploaded (image or video)
isIOS boolean value if iOS
orientation integer
Response Field Details
Fields Values/Description
req_id Corresponding request id
success Flag if the request is processed successfully
is_real Flag if the audio is real or fake
confidence Dictionary which give info of amount of real and fake part in audio
error_message If success is False then: Error message
doc_type Type of document uploaded
result Result String