Arya's digitisation module not only extracts all information from e invoice documents, but also incorporates a state of the art parser which intelligently classifies the extracted information into relevant fields such as billing and shipping addresses, vendor information, purchase order ID, invoice and due dates and It works on various invoice formats, bills,receipts which eases your invoicing process.
Can process invoices in various formats and complex layouts for effortless data capture with high accuracy
Captures dozens of fields from each invoice, making processing easy across PDF, JPG, or PNG formats
Empower your team by reducing the manual review process, which boosts efficiency and accuracy
Over 15M invoices processed ensuring reliability and scalability for your business
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...
Please wait...
{{k}}
{{v}}
{{h}} |
---|
{{d}} |
{{output.body.error_message}}
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": '< req id string >',
"category": '< 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": < req id string >, "category": '< 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": < req id string >, "category": '< 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": < req id string >, "category": '< 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": < req id string >, "category": '< 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 >" + "" +
@" "category": < 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": < req id string >, "category": '< 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": < req id string >, "category": '< 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": < type of document > "category" : < string >, } |
Name | Description |
---|---|
body |
{ "req_id" : < string >, "success" : < boolean >, "doc_type": < string > "error_message" : < string >, "data" : < dict >, } |
Fields | Values/Description |
---|---|
req_id | Unique request ID used for processing requests |
doc_base64 | Base64 encoded string of the document |
doc_type | "image" |
category | 'generic' or 'motor' |
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 of extracted data |