For salary slips we extract the various important fields including the employee designation, month, effective working days, bank details if any as well as the break up provided for the salary as well as tax deductions.
Leverage AI to automatically extract key details from salary slips, eliminating manual data entry
Advanced algorithms ensure precise extraction of salary components, reducing errors and improving reliability
Extract data instantly, enabling quick processing, data security and compliance
Minimize errors and ensure precise data extraction
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...
19 March 2024
While we expect bank statements to be accurate records of financial transactions...
30 April 2024
With banks and financial institutions heavily relying on large volumes of data, they...
Check out the API results using samples provided below.
Please wait...
{{output.body.error_message}}
{{k}}
{{v}}
{{h}} |
---|
{{d}} |
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_base64": < base64 encoded string > "doc_type" : < string>, } |
Name | Description |
---|---|
body |
{ "req_id" : < string >, "success" : < boolean >, "doc_type": < string >, "error_message" : < string >, "data" : < dict >, } |
Fields | Values/Description |
---|---|
doc_type | “image" / "pdf” |
req_id | Unique request ID used for processing requests |
doc_base64 | Base64 encoded string of the document |
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 |
data | Dictionary of extracted data |