idenfy_sdk_flutter 1.7.2

iDenfy SDK for Flutter. iDenfy - all-in-one identity verification and fraud prevention platform helping in remote users on-boarding, mitigation of risk, and KYC/AML compliance.

Table of contents

• Getting started
  • 1. Obtaining an authentication token
  • 2. Availability information & new project setup
  • 3. Adding iDenfy Flutter SDK
    • 3.1 Configuring Android project
      • 3.2 Configuring IOS project
  • 4. Adding iDenfy Flutter SDK manually
    • 4.1 Configuring Android project
      • 4.2 Configuring IOS project
  • 5. Troubleshooting compile errors

• Usage
• Callbacks
• Additional customization
• SDK Integration tutorials

Getting started

The @idenfy/idenfy_sdk_flutter is an official Flutter plugin, which provides an easier integration of iDenfy KYC services.

1. Obtaining an authentication token

The SDK requires token for starting initialization. Token generation guide

2. Availability information & new project setup

Minimum required versions by the platform:

IOS - 11.0 (Can be configured for 10.0, but will require Xcode 12.5.1)

Android - API 21

If you are starting a new Flutter project you can follow Flutter install guide. Once the setup is completed successfully, you can add iDenfy SDK dependencies.

3. Adding iDenfy Flutter SDK

To add iDenfy SDK plugin, open your project's pubspec.yaml file and append it with the latest iDenfy SDK flutter plugin:

dependencies:
  idenfy_sdk_flutter: ^1.7.2

3.1 Configuring Android project

Please make sure to enable multidex in app/build.gradle:

android {
  defaultConfig {
     multiDexEnabled true
  }
}

Configure your application's gradle.properties file:

android.useAndroidX=true
android.enableJetifier=true
//For gradle 7+
android.jetifier.ignorelist=bcprov
//otherwise
android.jetifier.blacklist=bcprov

Make sure you are using Kotlin >= 1.5.31 version (Since 1.5 version of iDenfy package)

3.2 Configuring IOS project

NSCameraUsageDescription must be provided in the application's Info.plist file:

<key>NSCameraUsageDescription</key>
<string>Required for document and facial capture</string>

Install the pods:

cd ios
pod install
cd ..

4. Adding iDenfy Flutter SDK manually

For more customization, you can use our sample in this repository

4.1 Configuring Android Project

Please make sure you use the latest iDenfy SDK dependency in build/gradle file:

dependencies {
    implementation "idenfySdk:com.idenfy.idenfySdk:x.y.z"
}

Having done that, sync gradle project files.

4.2 Configuring IOS Project

1. Installing dependency

Please make sure you use the latest iDenfy SDK dependency in idenfy_sdk_flutter.podspec file:

s.dependency 'iDenfySDK/iDenfyLiveness', 'x.y.z'

2. Updating post install script

Navigate to the ios/Podfile file and edit the post_install script.

post_install do |installer|
  installer.pods_project.targets.each do |target|
    if target.name == "ZIPFoundation" || target.name == "lottie-ios"
      target.build_configurations.each do |config|
        config.build_settings['BUILD_LIBRARY_FOR_DISTRIBUTION'] = 'YES'
      end
    end
    if target.name == "idenfy_sdk_flutter"
      target.build_configurations.each do |config|
        config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = '11.0'
      end
    end
    flutter_additional_ios_build_settings(target)
  end
end

This script ensures that both "ZIPFoundation" and "lottie-ios" have module stability as well as IOS 11.0 support, which is required for the NFC feature.

3. Running pod install

After that, install the pods:

cd ios
pod install
cd ..

If you face compiling issues, like "using bridging headers with module interfaces is unsupported" you should set Build libraries for distribution to NO in your app build settings.

The example IOS app has the correct configuration.

5. Troubleshooting compile errors

IOS

If your application uses Objective-C bridging headers you might face the following compile error: using bridging headers with module interfaces is unsupported. Command CompileSwiftSources failed with a nonzero exit code.

<img alt="Embed & Sign" width="700" src={useBaseUrl('img/mobile/idenfy_ios_compile_error.png')} />

To solve this error, you should try these steps:

1. You should set Build libraries for distribution to NO in your Runner app build settings.

2. Change post_install script in the Runner app Podfile to the following:

post_install do |installer|
    installer.pods_project.targets.each do |target|
        if target.name == "ZIPFoundation" || target.name == "lottie-ios"
          target.build_configurations.each do |config|
            config.build_settings['BUILD_LIBRARY_FOR_DISTRIBUTION'] = 'YES'
        end
      end
    end
end

3. Use different Subspec.

If the first solution does not help, then use the Subspec, which uses "Fat" legacy frameworks instead of the xcframeworks.

To include it, change pod 'iDenfySDK/iDenfyLiveness' to pod 'iDenfySDK/iDenfyLiveness-Legacy'

Android

If you run into this issue:

The minCompileSdk (31) specified in a dependency's AAR metadata (META-INF/com/android/build/gradle/aar-metadata.properties) is greater than this module's compileSdkVersion (android-30).Dependency: androidx.core:core:1.7.0.

Add the following lines to your app/build.gradle file:

android {

    ....
    
  configurations.all {
    resolutionStrategy { force 'androidx.core:core-ktx:1.3.2' }
    resolutionStrategy { force 'androidx.core:core:1.6.0' }
  }
}

If this error occurs:

Failed to transform bcprov-jdk15on-1.69.jar (org.bouncycastle:bcprov-jdk15on:1.69) to match attributes {artifactType=android-java-res, org.gradle.category=library, org.gradle.libraryelements=jar, org.gradle.status=release, org.gradle.usage=java-runtime}.

Be sure to add the following lines to your application's gradle.properties file:

//For gradle 7+
android.jetifier.ignorelist=bcprov
//otherwise
android.jetifier.blacklist=bcprov

Usage

Identity verification flow

Firstly, import idenfysdkflutter.dart file:

import 'package:idenfy_sdk_flutter/idenfy_sdk_flutter.dart';

After successful integration you should be able to call IdenfySdkFlutter.start method.

If the project is not successfully compiled or runtime issues occur, make sure you have followed the steps. For better understanding you may check the sample app in this repository.

Once you have an authentication token, which can be retrieved with following code, found in the example app, you can call IdenfySdkFlutter.start:

  Future<String> getAuthTokenRequest() async {
      final response = await http.post(
        Uri.https(Constants.BASE_URL, '/api/v2/token'),
        headers: <String, String>{
          'Accept': 'application/json',
          'Content-Type': 'application/json',
          'Authorization': 'Basic ' + base64Encode(utf8.encode('${Constants.apiKey}:${Constants.apiSecret}')),
        },
        body: jsonEncode(<String, String> {
          "clientId": Constants.clientId,
        }),
      );
      if (response.statusCode == 201) {
        return jsonDecode(response.body)["authToken"];
      } else {
        throw Exception('Failed to fetch token');
      }
    }

  Future<void> initIdenfySdk() async {
      IdenfyIdentificationResult idenfySDKresult;
      Exception localException;
      try {
      String authToken = await getAuthTokenRequest();
        idenfySDKresult = await IdenfySdkFlutter.start(authToken);
      } on Exception catch(e) {
        localException = e;
      }

      setState(() {
        _idenfySDKresult = idenfySDKresult;
        exception = localException;
      });
    }

Please make sure to provide your cliendId, apikey and apisecret constants, they can be found in constants.dart file:

const String BASE_URL = 'ivs.idenfy.com';
const String clientId = 'idenfySampleClientID';
const String apiKey = 'PUT_YOUR_IDENFY_API_KEY_HERE';
const String apiSecret = 'PUT_YOUR_IDENFY_API_SECRET_HERE';

Calling IdenfySdkFlutter.start with provided authToken:

  Future<void> initIdenfySdk() async {
    IdenfyIdentificationResult idenfySDKresult;
    String authToken = "TOKEN"
    try {
        idenfySDKresult = await IdenfySdkFlutter.start(authToken);
    } on PlatformException {
    }

    setState(() {
        _idenfySDKresult = idenfySDKresult;
    });

Face reauthentication flow

More on this flow, read here.

Firstly, import idenfysdkflutter.dart file:

import 'package:idenfy_sdk_flutter/idenfy_sdk_flutter.dart';

After successful integration you should be able to call IdenfySdkFlutter.startFaceReauth method.

If the project is not successfully compiled or runtime issues occur, make sure you have followed the steps. For better understanding you may check the sample app in this repository.

Once you have a face authentication token, which can be retrieved with following code, found in the example app, you can call IdenfySdkFlutter.startFaceReauth:

  Future<String> getFaceReauthTokenRequest(String scanref) async {
    final response = await http.post(
      Uri.https(Constants.BASE_URL, '/partner/authentication-info'),
      headers: <String, String>{
        'Accept': 'application/json',
        'Content-Type': 'application/json',
        'Authorization': 'Basic ' +
            base64Encode(
                utf8.encode('${Constants.apiKey}:${Constants.apiSecret}')),
      },
      body: jsonEncode(<String, String>{
        "scanRef": scanref,
      }),
    );
    if (response.statusCode == 200) {
      return jsonDecode(response.body)["token"];
    } else {
      throw Exception('Failed to fetch token');
    }
  }

  Future<void> initIdenfyFaceReauth(String scanref) async {
    FaceReauthenticationResult? faceReauthenticationResult;
    Exception? localException;
    try {
      String token = await getFaceReauthTokenRequest(scanref);
      faceReauthenticationResult = await IdenfySdkFlutter.startFaceReauth(token, false);
    } on Exception catch (e) {
      localException = e;
    }

    setState(() {
      _faceReauthenticationResult = faceReauthenticationResult;
      exception = localException;
    });
  }

An additional bool can be passed to the function to set the immediate redirect feature. This sets whether the results from iDenfy SDK should be received immediately without any additional result pages

IdenfySdkFlutter.startFaceReauth(token, true);

Please make sure to provide your cliendId, apikey and apisecret constants, they can be found in constants.dart file:

const String BASE_URL = 'ivs.idenfy.com';
const String clientId = 'idenfySampleClientID';
const String apiKey = 'PUT_YOUR_IDENFY_API_KEY_HERE';
const String apiSecret = 'PUT_YOUR_IDENFY_API_SECRET_HERE';

Calling IdenfySdkFlutter.startFaceReauth with provided scanRef of a completed identify verification:

  Future<void> initIdenfyFaceReauth(String scanref) async {
    FaceReauthenticationResult? faceReauthenticationResult;
    Exception? localException;
    try {
      String token = await getFaceReauthTokenRequest(scanref);
      faceReauthenticationResult = await IdenfySdkFlutter.startFaceReauth(token, false);
    } on Exception catch (e) {
      localException = e;
    }

    setState(() {
      _faceReauthenticationResult = faceReauthenticationResult;
      exception = localException;
    });
  }

Callbacks

Identity verification flow

Callback from the SDK can be retrieved from IdenfySdkFlutter.start future:

try {
    idenfySDKresult = await IdenfySdkFlutter.start(authToken);
} on PlatformException {
}

setState(() {
    _idenfySDKresult = idenfySDKresult;
});

Result is an IdenfyIdentificationResult class with AutoIdentificationStatus, ManualIdentificationStatus enums and additional SuspectedIdentificationStatus:

class IdenfyIdentificationResult {
    AutoIdentificationStatus autoIdentificationStatus;
    ManualIdentificationStatus manualIdentificationStatus;
    SuspectedIdentificationStatus suspectedIdentificationStatus;
}

Information about the IdenfyIdentificationResult autoIdentificationStatus statuses:

Name	Description
APPROVED	The user completed an identification flow and the identification status, provided by an automated platform, is APPROVED.
FAILED	The user completed an identification flow and the identification status, provided by an automated platform, is FAILED.
UNVERIFIED	The user did not complete an identification flow and the identification status, provided by an automated platform, is UNVERIFIED.

Information about the IdenfyIdentificationResult manualIdentificationStatus statuses:

Name	Description
APPROVED	The user completed an identification flow and was verified manually while waiting for the manual verification results in the iDenfy SDK. The identification status, provided by a manual review, is APPROVED.
FAILED	The user completed an identification flow and was verified manually while waiting for the manual verification results in the iDenfy SDK. The identification status, provided by a manual review, is FAILED.
WAITING	The user completed an identification flow and started waiting for the manual verification results in the iDenfy SDK. Then he/she decided to stop waiting and pressed a "BACK TO ACCOUNT" button. The manual identification review is still ongoing.
INACTIVE	The user was only verified by an automated platform, not by a manual reviewer. The identification performed by the user can still be verified by the manual review if your system uses the manual verification service.

Information about the IdenfyIdentificationResult suspectedIdentificationStatus statuses:

Name	Description
autoSuspected	The user completed an identification flow and the identification status, provided by an automated platform, is SUSPECTED.
manualSuspected	The user completed an identification flow and the identification status, provided by a manual reviewer, is SUSPECTED.

*Note The manualIdentificationStatus status always returns INACTIVE status, unless your system implements manual identification callback, but does not create a separate waiting screen for indicating about the ongoing manual identity verification process. For better customization we suggest using the immediate redirect feature . As a result, the user will not see an automatic identification status, provided by iDenfy service. The SDK will be closed while showing loading indicators.

Face reauthentication flow

Callback from the SDK can be retrieved from IdenfySdkFlutter.startFaceReauth future:

    FaceReauthenticationResult? faceReauthenticationResult;
    try {
      faceReauthenticationResult = await IdenfySdkFlutter.startFaceReauth(token, false);
    } on Exception catch (e) {
    }

    setState(() {
      _faceReauthenticationResult = faceReauthenticationResult;
    });

Result is an FaceReauthenticationResult class with FaceReauthenticationStatus enum:

class FaceReauthenticationResult {
    FaceReauthenticationStatus faceReauthenticationStatus;
}

Information about the FaceReauthenticationResult faceReauthenticationStatus statuses:

Name	Description
SUCCESS	The user completed face reauthentication flow and the reauthentication status, provided by an automated platform, is SUCCESS.
FAILED	The user completed face reauthentication flow and the reauthentication status, provided by an automated platform, is FAILED.
EXIT	The user did not complete face reauthentication flow and the identification status, provided by an automated platform, is EXIT.

Additional customization

Currently, @idenfy/idenfysdk_flutter_plugin does not provide customization options via Dart code directly. For any additional SDK customization, you need to use the sample in this repository and edit native code inside of the plugin.

We suggest creating a fork of this repository. After editing the code, you can include the plugin in the following way:

dependencies:
  idenfy_sdk_flutter: ^1.7.2
    git: https://github.com/your_repo/FlutterSDK.git

Android customization: Follow Android native SDK guide and edit IdenfysdkFlutterPlugin.kt.

IOS customization: Follow IOS native SDK guide and edit SwiftIdenfysdkFlutterPlugin.swift.

SDK Integration tutorials

For more information visit SDK integration tutorials.