Document Fraud Detection offers advanced capabilities to detect and prevent fraudulent activities across various document formats. Leveraging AI algorithms and pattern recognition, the app can analyze varied documents, including IDs, passports, invoices, and more, to identify anomalies and inconsistencies that may indicate fraud.
Scales effortlessly to handle high volumes of documents without compromising performance
Seamlessly enhance any workflow with AI as it integrates effortlessly with your existing systems
With advanced AI, our solution delivers reliable results, significantly reducing the risk of undetected fraud
Utilizes deep learning algorithms to identify patterns indicative of fraudulent documents, saving time and costs
Annual API Volume
Accuracy Rate
Daily API Volume
Time to launch
Hassle-Free,
No Code Platform
Easy to adopt
& integrate
99.99%
API Success Rate
Reliable &
Secure
6 Dec 2023
Financial document fraud has increased in the last two years. Scammers...
29 Feb 2024
Data is crucial for any organization or business, especially for banks and...
8 May 2024
Several types of financial fraud exist, including credit card...
Check out the API results using samples provided below.
Please wait...
{{output.body.error_message}}
Document Authenticity : {{output.isTampered ? 'Tampered' : 'Authentic' }}
Severity : {{output.severity}}
Page number : {{output.page_no}}
Trust Score: {{output.trust_score}}
Heatmap :
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)}}");
ṣclient.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)
Name | Description |
---|---|
token | String |
Name | Description |
---|---|
body |
{ "req_id" : < string >, "doc_type" : < string >, "doc_base64": < base64 encoded string > "heatmap" : < Boolean > } |
Name | Description |
---|---|
body |
{ "req_id" : < string >, "success" : < boolean >, "error_message" : < string >, "doc_type" : < string >, "severity" : < string >, "isTampered" : < Boolean > "page_no" : < integer > "trust_score" : < integer > "heatmap" : < string > } |
Fields | Values/Description |
---|---|
req_id | Unique request ID used for processing requests |
doc_base64 | Base64 encoded string of the document |
heatmap | Flag to get heatmap |
Fields | Values/Description |
---|---|
req_id | Corresponding request id |
success | Flag if the request is processed successfully |
doc_type | Type of document uploaded |
error_message | If success is False then: Error message |
severity | Fraud severity type |
heatmap | Base64 data of affected area in the document |
page_no | Page number if document is PDF |
trust_score | Trust Score |