Non-Interactive

Facia’s Non-Interactive KYC solution is tailored for backend verification scenarios where direct user interaction is not required. This mode allows clients to submit pre-collected identity data such as facial images, identity document and AML check for automated processing and verification. Leveraging the same robust technology as the interactive flow, including liveness analysis, document validation, and facial matching, this approach is ideal for high-volume use cases, legacy system integrations, or situations where user-facing verification is not feasible.

1. Quick Liveness detection
2. Document OCR
3. Face Match
4. Document Verification
5. Anti Money Laundering (AML)

These components work together within a unified framework to deliver accurate results while reducing manual review and user friction.

Initiate KYC Transaction

This endpoint initiates a transaction request for the kyc. The endpoint accepts some fields in the request payload, as mentioned in the request parameters.

Endpoint

POSThttps://api.facia.ai/kyc

Authorization:

Token Type: Bearer
Description:

This API utilizes Access token or Client-Secret key in header for authentication.

You can use your client_id and client_secret key when using the "/request-access-token" endpoint to obtain a Bearer token for authorization while connecting to this API. For additional details on Authorization, click Here

Request Body Samples:

HTTP

//POST /kyc  HTTP/1.1
//Host: api.facia.ai
//Content-Type: application/json
//Authorization: Bearer <access-token-here>

{
  "services": [
    "quick_liveness",
    "document_ocr",
    "document_verification",
    "face_match",
    "aml",
  ],
  "quick_liveness": {
    "file": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD..."
  },
  "document": {
    "file": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD...",
    "additional_file": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD...",
    "supported_types": ["id_card", "passport", "driving_license"],
    "dob": "",
    "age": ,
    "document_number": "",
    "issue_date": "",
    "expiry_date": "",
    "gender": "",
    "fetch_enhanced_data": "1",
    "name": {
      "first_name": "",
      "last_name": "",
    },
    "verification_instructions": {
      "allow_paper_based": "1"
    },
    "full_address": ""
  },
  "aml": {
    "search_name": "John Doe",
    "search_countries": ["US", "GB"],
    "search_categories": ["Sanctions"],
    "birth_incorporation_date": "00-00-1980",
    "entity_unique_id": "JDOE1980",
    "alias_search": true,
    "rca_search": false,
    "search_entity_type": ["Person", "Company"],
    "match_score": 85,
    "exact_search": false,
  },
  "client_reference": "TXN123456789",
  "callback_url": "https://www.example.com/status-update"
}

Javascript

fetch("https://api.facia.ai/kyc", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer <access-token-here>"
  },
  body: JSON.stringify({
    services: ["quick_liveness", "document_ocr", "document_verification", "face_match", "aml"],
    quick_liveness: { file: "data:image/jpeg;base64,/9j/4AAQSkZ..." },
    document: {
      file: "data:image/jpeg;base64,/9j/4AAQSkZ...",
      additional_file: "data:image/jpeg;base64,/9j/4AAQSkZ...",
      supported_types: ["id_card", "passport", "driving_license"],
      dob: "",
      age: ,
      document_number: "",
      issue_date: "",
      expiry_date: "",
      gender: "",
      fetch_enhanced_data: "1",
      name: {
        first_name: "",
        last_name: "",
      },
      verification_instructions: {
        allow_paper_based: "1"
      },
      full_address: ""
    },
    aml: {
      search_name: "John Doe",
      search_countries: ["US", "GB"],
      search_categories: ["Sanctions"],
      birth_incorporation_date: "00-00-1980",
      entity_unique_id: "JDOE1980",
      alias_search: true,
      rca_search: false,
      search_entity_type: ["Person", "Company"],
      match_score: 85,
      exact_search: false,
    },
    client_reference: "TXN123456789",
    callback_url: "https://www.example.com/status-update"
  })
})
.then(res => res.json())
.then(data => console.log(data))
.catch(err => console.error(err));

Curl

curl -X POST https://api.facia.ai/kyc \
 -H "Authorization: Bearer <access-token-here>" \
 -H "Content-Type: application/json" \
 -d '{
   "services": ["quick_liveness", "document_ocr", "document_verification", "face_match", "aml"],
   "quick_liveness": { "file": "data:image/jpeg;base64,/9j/4AAQSkZ..." },
   "document": {
     "file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
     "additional_file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
     "supported_types": ["id_card", "passport", "driving_license"],
     "dob": "",
     "age": ,
     "document_number": "",
     "issue_date": "",
     "expiry_date": "",
     "gender": "",
     "fetch_enhanced_data": "1",
     "name": {
       "first_name": "",
       "last_name": "",
     },
     "verification_instructions": {
       "allow_paper_based": "1"
     },
     "full_address": ""
   },
   "aml": {
     "search_name": "John Doe",
     "search_countries": ["US", "GB"],
     "search_categories": ["Sanctions"],
     "birth_incorporation_date": "00-00-1980",
     "entity_unique_id": "JDOE1980",
     "alias_search": true,
     "rca_search": false,
     "search_entity_type": ["Person", "Company"],
     "match_score": 85,
     "exact_search": false,
   },
   "client_reference": "TXN123456789",
   "callback_url": "https://www.example.com/status-update"
 }'

PHP

<?php
  $payload = [
    "services" => ["quick_liveness", "document_ocr", "document_verification", "face_match", "aml"],
    "quick_liveness" => ["file" => "data:image/jpeg;base64,/9j/4AAQSkZ..."],
    "document" => [
      "file" => "data:image/jpeg;base64,/9j/4AAQSkZ...",
      "additional_file" => "data:image/jpeg;base64,/9j/4AAQSkZ...",
      "supported_types" => ["id_card", "passport", "driving_license"],
      "dob" => "",
      "age" => ,
      "document_number" => "",
      "issue_date" => "",
      "expiry_date" => "",
      "gender" => "",
      "fetch_enhanced_data" => "1",
      "name" => [
        "first_name" => "",
        "last_name" => "",
      ],
      "verification_instructions" => [
        "allow_paper_based" => "1"
      ],
      "full_address" => ""
    ],
    "aml" => [
      "search_name" => "John Doe",
      "search_countries" => ["US", "GB"],
      "search_categories" => ["Sanctions"],
      "birth_incorporation_date" => "00-00-1980",
      "entity_unique_id" => "JDOE1980",
      "alias_search" => true,
      "rca_search" => false,
      "search_entity_type" => ["Person", "Company"],
      "match_score" => 85,
      "exact_search" => false,
    ],
    "client_reference" => "TXN123456789",
    "callback_url" => "https://www.example.com/status-update"
  ];

  $ch = curl_init("https://api.facia.ai/kyc");
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Content-Type: application/json",
    "Authorization: Bearer <access-token-here>"
  ]);

  $response = curl_exec($ch);
  curl_close($ch);
  echo $response;

Python

import requests

url = "https://api.facia.ai/kyc"
headers = {
    "Authorization": "Bearer <access-token-here>",
    "Content-Type": "application/json"
}

payload = {
    "services": ["quick_liveness", "document_ocr", "document_verification", "face_match", "aml"],
    "quick_liveness": { "file": "data:image/jpeg;base64,/9j/4AAQSkZ..." },
    "document": {
        "file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
        "additional_file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
        "supported_types": ["id_card", "passport", "driving_license"],
        "dob": "",
        "age": ,
        "document_number": "",
        "issue_date": "",
        "expiry_date": "",
        "gender": "",
        "fetch_enhanced_data": "1",
        "name": {
            "first_name": "",
            "last_name": "",
        },
        "verification_instructions": {
            "allow_paper_based": "1"
        },
        "full_address": ""
    },
    "aml": {
        "search_name": "John Doe",
        "search_countries": ["US", "GB"],
        "search_categories": ["Sanctions"],
        "birth_incorporation_date": "00-00-1980",
        "entity_unique_id": "JDOE1980",
        "alias_search": True,
        "rca_search": False,
        "search_entity_type": ["Person", "Company"],
        "match_score": 85,
        "exact_search": False,
    },
    "client_reference": "TXN123456789",
    "callback_url": "https://www.example.com/status-update"
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

Ruby

require 'net/http'
require 'uri'
require 'json'

uri = URI.parse("https://api.facia.ai/kyc")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <access-token-here>"
request["Content-Type"] = "application/json"

request.body = {
  services: ["quick_liveness", "document_ocr", "document_verification", "face_match", "aml"],
  quick_liveness: { file: "data:image/jpeg;base64,/9j/4AAQSkZ..." },
  document: {
    file: "data:image/jpeg;base64,/9j/4AAQSkZ...",
    additional_file: "data:image/jpeg;base64,/9j/4AAQSkZ...",
    supported_types: ["id_card", "passport", "driving_license"],
    dob: "",
    age: ,
    document_number: "",
    issue_date: "",
    expiry_date: "",
    gender: "",
    fetch_enhanced_data: "1",
    name: {
      first_name: "",
      last_name: "",
    },
    verification_instructions: {
      allow_paper_based: "1"
    },
    full_address: ""
  },
  aml: {
    search_name: "John Doe",
    search_countries: ["US", "GB"],
    search_categories: ["Sanctions"],
    birth_incorporation_date: "00-00-1980",
    entity_unique_id: "JDOE1980",
    alias_search: true,
    rca_search: false,
    search_entity_type: ["Person", "Company"],
    match_score: 85,
    exact_search: false,
  },
  client_reference: "TXN123456789",
  callback_url: "https://www.example.com/status-update"
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) do |http|
  http.request(request)
end

puts response.body

Java

import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;

public class KYCRequest {
    public static void main(String[] args) throws Exception {
        URL url = new URL("https://api.facia.ai/kyc");
        HttpURLConnection con = (HttpURLConnection) url.openConnection();
        con.setRequestMethod("POST");
        con.setRequestProperty("Content-Type", "application/json");
        con.setRequestProperty("Authorization", "Bearer <access-token-here>");
        con.setDoOutput(true);

        String jsonInputString = "{ \"services\": [\"quick_liveness\", \"document_ocr\", \"document_verification\", \"face_match\", \"aml\"], ... }";

        try (OutputStream os = con.getOutputStream()) {
            byte[] input = jsonInputString.getBytes("utf-8");
            os.write(input, 0, input.length);
        }

        int code = con.getResponseCode();
        System.out.println("Response Code: " + code);
    }
}

C#

using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <access-token-here>");

var payload = new {
    services = new[] { "quick_liveness", "document_ocr", "document_verification", "face_match", "aml" },
    quick_liveness = new { file = "data:image/jpeg;base64,/9j/4AAQSkZ..." },
    document = new {
        file = "data:image/jpeg;base64,/9j/4AAQSkZ...",
        additional_file = "data:image/jpeg;base64,/9j/4AAQSkZ...",
        supported_types = new[] { "id_card", "passport", "driving_license" },
        dob = "",
        age = ,
        document_number = "",
        issue_date = "",
        expiry_date = "",
        gender = "",
        fetch_enhanced_data = "1",
        name = new {
            first_name = "John",
            last_name = "Doe",
        },
        verification_instructions = new {
            allow_paper_based = "1"
        },
        full_address = ""
    },
    aml = new {
        search_name = "John Doe",
        search_countries = new[] { "US", "GB" },
        search_categories = new[] { "Sanctions" },
        birth_incorporation_date = "00-00-1980",
        entity_unique_id = "JDOE1980",
        alias_search = true,
        rca_search = false,
        search_entity_type = new[] { "Person", "Company" },
        match_score = 85,
        exact_search = false,
    },
    client_reference = "TXN123456789",
    callback_url = "https://www.example.com/status-update"
};

var content = new StringContent(System.Text.Json.JsonSerializer.Serialize(payload), Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.facia.ai/kyc", content);
var responseString = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseString);

Go

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "net/http"
)

func main() {
    payload := map[string]interface{}{
        "services": []string{"quick_liveness", "document_ocr", "document_verification", "face_match", "aml"},
        "quick_liveness": map[string]string{"file": "data:image/jpeg;base64,/9j/4AAQSkZ..."},
        "document": map[string]string{
            "file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
            "additional_file": "data:image/jpeg;base64,/9j/4AAQSkZ...",
            "supported_types": []string{"id_card", "passport", "driving_license"},
            "dob": "",
            "age": ,
            "document_number": "",
            "issue_date": "",
            "expiry_date": "",
            "gender": "",
            "fetch_enhanced_data": "1",
            "name": map[string]string{
                "first_name": "John",
                "last_name": "Doe",
            },
            "verification_instructions": map[string]string{
                "allow_paper_based": "1",
            },
            "full_address": "",
        },
        "aml": map[string]interface{}{
            "search_name": "John Doe",
            "search_countries": []string{"US", "GB"},
            "search_categories": []string{"Sanctions"},
            "birth_incorporation_date": "00-00-1980",
            "entity_unique_id": "JDOE1980",
            "alias_search": true,
            "rca_search": false,
            "search_entity_type": []string{"Person", "Company"},
            "match_score": 85,
            "exact_search": false,
        },
        "client_reference": "TXN123456789",
        "callback_url": "https://www.example.com/status-update",
    }

    body, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", "https://api.facia.ai/kyc", bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer <access-token-here>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    fmt.Println("Status:", resp.Status)
}

Request Parameter

Parameter	Description
services	Required: Yes Type: Array of Strings Allowed values: quick_liveness, document_ocr, document_verification, face_match, aml At least one service must be selected. Only selected services will be performed.
quick_liveness.file	Required: Yes (if quick_liveness or face_match in services) Type: string (base64) Quick Liveness verification image file (Base64).
document.file	Required: Yes (if document_ocr, document_verification, or face_match in services) Type: File Primary document image for OCR, verification or face match.
document.additional_file	Required: No Type: File Secondary document image (e.g. back side of ID).
document.supported_types	Required: No Type: Array Example 1: ["driving_license"] Example 2: ["id_card", "credit_or_debit_card", "passport"]
document.dob	Required: No Type: String Format: yyyy-mm-dd Provide a valid date. Example: 1990-12-31
document.age	Required: No Type: Integer/Array Allowed values are integers or an array. The Age parameter allows the client to set a minimum and maximum limit for acceptance of a user. The minimum age is defined as min and the maximum is defined as max within this object. Example: 18
document.document_number	Required: No Type: String Maximum: 100 characters Allowed Characters are numbers, alphabets, dots, dashes, spaces, underscores and commas. Examples: 35201-0000000-0, ABC1234XYZ098
document.issue_date	Required: No Type: String Format: yyyy-mm-dd Provide a valid date. Example: 2015-12-31
document.expiry_date	Required: No Type: String Format: yyyy-mm-dd Provide a valid date. Example: 2025-12-31
document.gender	Required: No Type: String Accepted Values: M, F, O, m, f, o Provide the gender which is given in the document. F: Female, M: Male, O: Others Example: M
document.fetch_enhanced_data	Required: No Type: String Value Accepted: 1 Provide 1 for enabling enhanced data extraction for the document. Enhanced data extraction provides more than 100 data points from official ID documents supporting 150 languages (additional charges apply). Extracted data will be returned in additional_data object.
document.name	Required: No Type: Object In the name object used in document service, first_name is required if you don't want to perform OCR of the name parameter. Other fields are optional. Example 1: { "first_name" : "John", "last_name" : "Doe" } Example 2: { "first_name" : "John", "last_name" : "Doe", "fuzzy_match" : "1"}
document.verification_instructions	Required: No Type: Object Allows clients to provide additional instructions for the service, such as allowing paper-based, photocopied or laminated documents for verification. Example: {"allow_paper_based" : "1"}
document.full_address	Required: No Type: String Minimum: 6 characters Maximum: 250 characters Allowed Characters are numbers, alphabets, dots, dashes, spaces, underscores, hashes and commas.
aml.search_name	Required: Yes (if aml in services and neither document_ocr nor document_verification is selected) Type: String Min: 2 characters Max: 100 characters Note: AML screening will be performed on the name provided in aml.search_name. If aml.search_name is not provided, the name will be extracted from the document for screening.
aml.search_countries	Required: No Type: Array of Strings Country codes for filtering search. Example: ["US", "GB"] Note: ISO 3166-1 alpha-2 country codes are supported. See supported countries
aml.search_categories	Required: Yes (if aml in services) Type: Array Array of categories based on which you want to filters reports. Example: ["SIP"] See categories list
aml.birth_incorporation_date	Required: No Type: String (Format: DD-MM-YYYY) Accepts partial dates like 00-00-1980, 10-03-0000.
aml.entity_unique_id	Required: No Type: String Unique identifier can be used to filter the search records. Min: 2 character Max: 50 characters Constraint: Unique identifier should not consist entirely of special characters. Note: It can be any key within the data object like Passport No, National ID number. Example: TR12345677.
aml.alias_search	Required: No Type: Boolean Alias search is used to specify whether user want to perform search within aliases or not. Default : True. Example : False.
aml.rca_search	Required: No Type: Boolean RCA search is used to specify whether user want to perform search within rca or not. RCA (Relatives and Close Associates) - Immediate family members or close social or professional contacts of a government or political official, or senior executive – meaning spouses, parents, siblings, children, and spouses’ parents and siblings. Default : True. Example: False.
aml.search_entity_type	Required: No Type: Array Entity Type: AML screening serves the purpose of identifying individuals or entities listed in various AML databases. Facia provides screening services of five types of entities i.e. Person, Company, Organization, Crypto_Wallet, Vessel and Aircraft. Example: ["Person"].
aml.match_score	Required: No Type: Integer The match score determines the level of similarity required between the search term and the matched terms. A value of 0 allows for the loosest match, while 100 represents the closest match. Note: It ranges from 0-100.When the selected Category is "Adverse Media," the match score is not applicable, as Adverse Media results are always returned with a match score of 100. Default: 80. Example: 65
aml.exact_search	Required: No Type: Boolean Sets the match score to 100, disables all preprocessing (including prefixes, autocorrection, and translation), and performs the search based solely on the exact input parameters. Default: False.
client_reference	Required: No Type: String Min: 5 Max: 255 Custom transaction identifier.
callback_url	Required: No Type: String Example: callback_url=https://www.example.exc.com/ Multiple server-to-server calls are initiated to communicate updates on verification status to Facia’s clients.

Response Sample

{
  "status": true,
  "message": "Success",
  "result": {
    "data": {
      "reference_id": "D4107871AC5FXXX",
    }
  }
}

Response Parameter

Parameter	Description
status	Type: Boolean Example: true or false Indicates whether the request was successful (true) or not (false).
message	Type: String Descriptive message corresponding to the request status.
errors	Type: Object (present only if status is false) contains errors explaining why the request failed.
result.data.reference_id	Type: String Example: "D4107871AC5FXXX" Unique transaction identifier generated by the system.

Transaction Status:

You can use the reference_id in the status endpoint to see the status of transaction. For additional details on Status endpoint, click Here

AML Categories

Facia offers an extensive range of screening categories designed to support comprehensive background checks. With the help of the key aml.search_categories listed below, our platform ensures businesses meet regulatory compliance requirements while effectively identifying and mitigating potential risks. This thorough approach helps organizations safeguard against financial crime and reputational damage.

Category	Description
Fitness and Probity	Evaluating an individual's or entity's competence, skills, integrity, and ethical conduct in the financial services industry.
Warnings and Regulatory Enforcement	Warnings alert individuals or entities to rule violations, while regulatory enforcement involves imposing penalties or legal actions for non-compliance with laws and regulations.
Sanctions	Penalties or restrictions imposed by authorities on individuals, organizations, or countries for violating laws or international norms.
PEP Level 1	High-risk PEPs - State and government executives, military/judicial/law enforcement leaders, parliament officials, prominent political party figures.
PEP Level 2	Medium-high Risk PEPs - Senior state/military/law enforcement officials, high-rank civil servants, religious/state agency leaders, ambassadors/diplomats/commissioners.
PEP Level 3	Medium-risk PEPs - Senior management in government-owned businesses, state organization board members.
PEP Level 4	Low Risk PEPs - Senior officials/employees in international bodies, state/district assembly members.
SIP	SIP (Special Interest Person) - Individuals that present a heightened level of risk due to their suspected or confirmed involvement in criminal activity.
SIE	SIE (Special Interest Entity) - Companies or organizations that present a heightened level of risk due to their suspected or confirmed involvement in criminal activity.
Insolvency	Companies and organisations that are unable to pay their debts or have been declared bankrupt by judicial process.

AML Supported Countries

Facia encompasses a wide array of countries for comprehensive screening solutions. This international coverage enables organizations to conduct thorough due diligence and maintain compliance with regulatory standards across various regions.

No.	Country Name	Code
1	Afghanistan	AF
2	Albania	AL
3	Algeria	DZ
4	Aland Islands	AX
5	American Samoa	AS
6	Andorra	AD
7	Angola	AO
8	Anguilla	AI
9	Antigua and Barbuda	AG
10	Argentina	AR
11	Armenia	AM
12	Aruba	AW
13	Australia	AU
14	Austria	AT
15	Azerbaijan	AZ
16	Bahrain	BH
17	Bangladesh	BD
18	Barbados	BB
19	Belarus	BY
20	Belgium	BE
21	Belize	BZ
22	Benin	BJ
23	Bermuda	BM
24	Bhutan	BT
25	Bolivia	BO
26	Bosnia and Herzegovina	BA
27	Botswana	BW
28	Brazil	BR
29	British Virgin Islands	VG
30	Brunei	BN
31	Bulgaria	BG
32	Burkina Faso	BF
33	Burundi	BI
34	Cambodia	KH
35	Cameroon	CM
36	Canada	CA
37	Cape Verde	CV
38	Caribbean Netherlands	BQ
39	Cayman Islands	KY
40	Central African Republic	CF
41	Chad	TD
42	Channel Islands	JE
43	Chile	CL
44	China	CN
45	Cocos (Keeling) Islands	CC
46	Colombia	CO
47	Comoros	KM
48	Congo	CG
49	Cook Islands	CK
50	Costa Rica	CR
51	Cote D'Ivoire (Ivory Coast)	CI
52	Croatia	HR
53	Cuba	CU
54	Curacao	CW
55	Cyprus	CY
56	Czech Republic	CZ
57	Democratic Republic of the Congo	CD
58	Denmark	DK
59	Djibouti	DJ
60	Dominica	DM
61	Dominican Republic	DO
62	East Timor	TL
63	Ecuador	EC
64	Egypt	EG
65	El Salvador	SV
66	Equatorial Guinea	GQ
67	Eritrea	ER
68	Estonia	EE
69	Eswatini	SZ
70	Ethiopia	ET
71	Falkland Islands (Islas Malvinas)	FK
72	Faroe Islands	FO
73	Fiji	FJ
74	Finland	FI
75	France	FR
76	French Guiana	GF
77	French Polynesia	PF
78	Gabon	GA
79	Georgia	GE
80	Germany	DE
81	Ghana	GH
82	Gibraltar	GI
83	Greece	GR
84	Greenland	GL
85	Grenada	GD
86	Guadeloupe	GP
87	Guam	GU
88	Guatemala	GT
89	Guinea	GN
90	Guinea-Bissau	GW
91	Guyana	GY
92	Haiti	HT
93	Holy See	VA
94	Honduras	HN
95	Hong Kong	HK
96	Hungary	HU
97	Iceland	IS
98	India	IN
99	Indonesia	ID
100	Iran	IR
101	Iraq	IQ
102	Ireland	IE
103	Isle of Man	IM
104	Israel	IL
105	Italy	IT
106	Jamaica	JM
107	Japan	JP
108	Jordan	JO
109	Kazakhstan	KZ
110	Kenya	KE
111	Kiribati	KI
112	Kosovo	XK
113	Kuwait	KW
114	Kyrgyzstan	KG
115	Laos	LA
116	Latvia	LV
117	Lebanon	LB
118	Lesotho	LS
119	Liberia	LR
120	Libya	LY
121	Liechtenstein	LI
122	Lithuania	LT
123	Luxembourg	LU
124	Macau	MO
125	Macedonia	MK
126	Madagascar	MG
127	Malawi	MW
128	Malaysia	MY
129	Maldives	MV
130	Mali	ML
131	Malta	MT
132	Marshall Islands	MH
133	Martinique	MQ
134	Mauritania	MR
135	Mauritius	MU
136	Mayotte	YT
137	Mexico	MX
138	Micronesia	FM
139	Moldova	MD
140	Monaco	MC
141	Mongolia	MN
142	Montenegro	ME
143	Montserrat	MS
144	Morocco	MA
145	Mozambique	MZ
146	Myanmar (Burma)	MM
147	Namibia	NA
148	Nauru	NR
149	Nepal	NP
150	Netherlands	NL
151	New Caledonia	NC
152	New Zealand	NZ
153	Nicaragua	NI
154	Niger	NE
155	Nigeria	NG
156	Niue	NU
157	North Korea	KP
158	Northern Mariana Islands	MP
159	Norway	NO
160	Oman	OM
161	Pakistan	PK
162	Palau	PW
163	State of Palestine	PS
164	Panama	PA
165	Papua New Guinea	PG
166	Paraguay	PY
167	Peru	PE
168	Philippines	PH
169	Pitcairn Islands	PN
170	Poland	PL
171	Portugal	PT
172	Puerto Rico	PR
173	Qatar	QA
174	Reunion	RE
175	Romania	RO
176	Russia	RU
177	Rwanda	RW
178	Saint Barthelemy	BL
179	Saint Helena	SH
180	Saint Kitts and Nevis	KN
181	Saint Lucia	LC
182	Sint Maarten	SX
183	Saint Martin	MF
184	Saint Pierre and Miquelon	PM
185	Saint Vincent and the Grenadines	VC
186	Samoa	WS
187	San Marino	SM
188	Sao Tome and Principe	ST
189	Saudi Arabia	SA
190	Senegal	SN
191	Serbia	RS
192	Seychelles	SC
193	Sierra Leone	SL
194	Singapore	SG
195	Slovakia	SK
196	Slovenia	SI
197	Solomon Islands	SB
198	Somalia	SO
199	South Africa	ZA
200	South Korea	KR
201	South Sudan	SS
202	Spain	ES
203	Sri Lanka	LK
204	Sudan	SD
205	Suriname	SR
206	Sweden	SE
207	Switzerland	CH
208	Syria	SY
209	Taiwan	TW
210	Tajikistan	TJ
211	Tanzania	TZ
212	Thailand	TH
213	The Bahamas	BS
214	The Gambia	GM
215	Togo	TG
216	Tokelau	TK
217	Tonga	TO
218	Trinidad and Tobago	TT
219	Tunisia	TN
220	Turkiye	TR
221	Turkmenistan	TM
222	Turks and Caicos Islands	TC
223	Tuvalu	TV
224	Uganda	UG
225	Ukraine	UA
226	United Arab Emirates	AE
227	United Kingdom	GB
228	United States	US
229	Uruguay	UY
230	U.S. Virgin Islands	VI
231	Uzbekistan	UZ
232	Vanuatu	VU
233	Vatican City	VA
234	Venezuela	VE
235	Vietnam	VN
236	Wallis and Futuna	WF
237	Western Sahara	EH
238	Yemen	YE
239	Zambia	ZM
240	Zimbabwe	ZW