Onfido Android SDK

Overview

The Onfido Android SDK provides a drop-in set of screens and tools for Android applications to capture identity documents and selfie photos and videos for the purpose of identity verification.

It offers a number of benefits to help you create the best identity verification experience for your customers:

Carefully designed UI to guide your customers through the entire photo and video capture process
Modular design to help you seamlessly integrate the photo and video capture process into your application flow
Advanced image quality detection technology to ensure the quality of the captured images meets the requirement of the Onfido identity verification process, guaranteeing the best success rate
Direct image upload to the Onfido service, to simplify integration

⚠️ Note: The SDK is only responsible for capturing and uploading photos and videos. You still need to access the Onfido API to manage applicants and perform checks.

Getting started

The SDK supports API level 21 and above (distribution stats).

Version 7.4.0 was the last version that supported API level 16 and above.

Our configuration is currently set to the following:

minSdkVersion = 21
targetSdkVersion = 31
android.useAndroidX=true
Kotlin = 1.3+

  compileOptions {
    sourceCompatibility JavaVersion.VERSION_1_8
    targetCompatibility JavaVersion.VERSION_1_8
  }

⚠️ The following content assumes you're using our API v3 versions for backend calls. If you are currently using API v2 please refer to this migration guide for more information.

1. Obtain an API token

In order to start integrating, you will need an API token.

You can use our sandbox environment to test your integration. To use the sandbox, you'll need to generate a sandbox API token in your Onfido Dashboard.

⚠️ Note: You must never use API tokens in the frontend of your application or malicious users could discover them in your source code. You should only use them on your server.

1.1 Regions

Onfido offers region-specific environments. Refer to the Regions section in our API documentation for token format and API base URL information.

2. Add the SDK dependency

Starting from version 4.2.0, Onfido offers a modularized SDK. You can integrate it in 2 different ways:

onfido-capture-sdk
onfido-capture-sdk-core

2.1 `onfido-capture-sdk`

This is the recommended integrated option.

This is a complete solution, focusing on input quality. It features advanced on-device, real-time glare and blur detection as well as auto-capture (passport only) on top of a set of basic image validations.

repositories {
  mavenCentral()
}

dependencies {
  implementation 'com.onfido.sdk.capture:onfido-capture-sdk:x.y.z'
}

Due to the advanced validation support (in C++ code) we recommend that the integrator app performs multi-APK split to optimize the app size for individual architectures.

2.1.1 Multi-APK split

C++ code needs to be compiled for each of the CPU architectures (known as "ABIs") present on the Android environment. Currently, the SDK supports the following ABIs:

armeabi-v7a: Version 7 or higher of the ARM processor. Most recent Android phones use this
arm64-v8a: 64-bit ARM processors. Found on new generation devices
x86: Most tablets and emulators
x86_64: Used by 64-bit tablets

The SDK binary contains a copy of the native .so file for each of these four platforms. You can considerably reduce the size of your .apk by applying APK split by ABI, editing your build.gradle to the following:

android {

  splits {
    abi {
        enable true
        reset()
        include 'x86', 'x86_64', 'arm64-v8a', 'armeabi-v7a'
        universalApk false
    }
  }
}

Read the Android documentation for more information.

Average size (with Proguard enabled):

ABI	Size
armeabi-v7a	6.79 Mb
arm64-v8a	7.67 Mb

2.2 `onfido-capture-sdk-core`

This is a lighter version. It provides a set of basic image validations, mostly completed on the backend. There are no real-time validations on-device so ABI split is not needed.

repositories {
  mavenCentral()
}

dependencies {
  implementation 'com.onfido.sdk.capture:onfido-capture-sdk-core:x.y.z'
}

Average size (with Proguard enabled):

ABI	Size
universal	4.25 Mb

Note: The average sizes were measured by building the minimum possible wrappers around our SDK, using the following stack. Different versions of the dependencies, such as Gradle or NDK, may result in slightly different values.

⚠️ In order to improve the security of our clients, we upgraded our infrastructure and SDK client SSL configurations to support TLSv1.2 only. According to the relevant Google documentation, this support comes enabled by default on every device running Android API 20+. If you need to support older devices, we need to access Google Play Services to install the latest security updates which enable this support. If you don't use Google Play Services on your integration yet, we require you to add the following dependency:

compile ('com.google.android.gms:play-services-base:x.y.z') {
           exclude group: 'com.android.support' // to avoid conflicts with your current support library
}

3. Create an applicant

To create an applicant from your backend server, make a request to the 'create applicant' endpoint, using a valid API token.

Note: Different report types have different minimum requirements for applicant data. For a Document or Facial Similarity report the minimum applicant details required are first_name and last_name.

$ curl https://api.onfido.com/v3/applicants \
    -H 'Authorization: Token token=<YOUR_API_TOKEN>' \
    -d 'first_name=John' \
    -d 'last_name=Smith'

The JSON response will return an id field containing a UUID that identifies the applicant. Once you pass the applicant ID to the SDK, documents and live photos and videos uploaded by that instance of the SDK will be associated with that applicant.

4. Configure the SDK with a token

You'll need to generate and include an SDK token every time you initialize the SDK. To generate an SDK token, make a request to the 'generate SDK token' endpoint.

$ curl https://api.onfido.com/v3/sdk_token \
  -H 'Authorization: Token token=<YOUR_API_TOKEN>' \
  -F 'applicant_id=<YOUR_APPLICANT_ID>' \
  -F 'application_id=<YOUR_APPLICATION_ID>'

Parameter	Notes
`applicant_id`	required Specifies the applicant for the SDK instance.
`application_id`	required The application ID that was set up during development. For Android, this is usually in the form `com.example.yourapp`. Make sure to use a valid `application_id` or you'll receive a 401 error.

⚠️ SDK tokens expire after 90 minutes.

4.1 `tokenExpirationHandler`

You can use the optional tokenExpirationHandler parameter in the SDK token configurator function to generate and pass a new SDK token when it expires. This ensures the SDK continues its flow even after an SDK token has expired.

For example:

Kotlin

class ExpirationHandler : TokenExpirationHandler {

        override fun refreshToken(injectNewToken: (String?) -> Unit) {
            TODO("<Your network request logic to retrieve SDK token goes here>")
            injectNewToken("<NEW_SDK_TOKEN>") // if you pass `null` the sdk will exit with token expired error
        }
    }

val config = OnfidoConfig.builder(context)
    .withSDKToken("<YOUR_SDK_TOKEN_HERE>", tokenExpirationHandler = ExpirationHandler()) // ExpirationHandler is optional

Java

class ExpirationHandler implements TokenExpirationHandler {

    @Override
    public void refreshToken(@NotNull Function1<? super String, Unit> injectNewToken) {
        //Your network request logic to retrieve SDK token goes here
        injectNewToken.invoke("<NEW_SDK_TOKEN>"); // if you pass `null` the sdk will exit with token expired error
    }
}

OnfidoConfig.Builder config = new OnfidoConfig.Builder(context)
                .withSDKToken("<YOUR_SDK_TOKEN>", new ExpirationHandler()); // ExpirationHandler is optional

Note: If you want to use tokenExpirationHandler you should pass a concrete class instance, you should not pass an anonymous or activity class instance.

5. Instantiate the client

To use the SDK, you need to obtain an instance of the client object.

final Context context = ...;
Onfido onfido = OnfidoFactory.create(context).getClient();

6. Start the flow

// start the flow. 1 should be your request code (customize as needed)
onfido.startActivityForResult(this,         /*must be an Activity or Fragment (support library)*/
                              1,            /*this request code will be important for you on onActivityResult() to identify the onfido callback*/
                              config);

Handling callbacks

To receive the result from the flow, you should override the method onActivityResult on your Activity or Fragment. Typically, on success, you would create a check on your backend server.

@Override
protected void onActivityResult(int requestCode, int resultCode, Intent data) {
    ...
    onfido.handleActivityResult(resultCode, data, new Onfido.OnfidoResultListener() {
        @Override
        public void userCompleted(Captures captures) {
        }

        @Override
        public void userExited(ExitCode exitCode) {
        }

        @Override
        public void onError(OnfidoException exception) {
        }
    });
}

Attribute	Notes
`userCompleted`	User completed the flow. You can now create a check on your backend server. The `captures` object contains information about the document and face captures made during the flow.
`userExited`	User left the SDK flow without completing it. Some images may have already been uploaded. The `exitCode` object contains information about the reason for exit.
`onError`	Some error happened.

captures

Sample of a captures instance returned by a flow with FlowStep.CAPTURE_DOCUMENT and FlowStep.CAPTURE_FACE:

Document:
        Front: DocumentSide(id=document_id, side=FRONT, type=DRIVING_LICENCE)
        Back: DocumentSide(id=document_id, side=BACK, type=DRIVING_LICENCE)
        Type: DRIVING_LICENCE
Face:
    Face(id=face_id, variant=PHOTO)

Note: type property refers to DocumentType, variant refers to FaceCaptureVariant

Note: As part of userCompleted method, the DocumentType property can only contain the values which are supported by Onfido API. Please check out our API documentation

exitCode

Potential exitCode reasons:

`exitCode`
USER_LEFT_ACTIVITY
USER_CONSENT_DENIED
CAMERA_PERMISSION_DENIED (Deprecated)

Customizing the SDK

You can also read our SDK customization guide.

Flow customization

You can customize the flow of the SDK via the withCustomFlow(FlowStep[]) method. You can remove, add and shift around steps of the SDK flow.

final FlowStep[] defaultStepsWithWelcomeScreen = new FlowStep[]{
    FlowStep.WELCOME,                       //Welcome step with a step summary, optional
    FlowStep.CAPTURE_DOCUMENT,              //Document capture step
    FlowStep.CAPTURE_FACE,                  //Face capture step
    FlowStep.PROOF_OF_ADDRESS,              //Proof of address capture step
    FlowStep.FINAL                          //Final screen step, optional
};

final OnfidoConfig config = OnfidoConfig.builder()
    .withCustomFlow(defaultStepsWithWelcomeScreen)
    .withSDKToken("<YOUR_SDK_TOKEN>")
    .build();

Exiting the flow

You can call the exitWhenSentToBackground() method of the OnfidoConfig.Builder, to automatically exit the flow if the user sends the app to background. This exit action will invoke the userExited(ExitCode exitCode) callback.

Welcome step

The welcome screen displays a summary of the capture steps the user will pass through. These steps can be specified to match the flow required. This is an optional screen.

Consent step

This step contains a screen to collect US end users' privacy consent for Onfido. It contains the consent language required when you offer your service to US users as well as links to Onfido's policies and terms of use. This is an optional screen.

The user must click "Accept" to move past this step and continue with the flow. The content is available in English only, and is not translatable.

⚠️ This step doesn't automatically inform Onfido that the user has given their consent. At the end of the SDK flow, you still need to set the API parameter privacy_notices_read_consent_given outside of the SDK flow when creating a check.

If you choose to disable this step, you must incorporate the required consent language and links to Onfido's policies and terms of use into your own application's flow before your end user starts interacting with the Onfido SDK.

For more information about this step, and how to collect user consent, please visit Onfido Privacy Notices and Consent.

Document capture step

In this step, a user can pick the type of document and its issuing country before capturing it with their phone camera.

Document type selection and country selection are both optional screens. These screens will only show to the end user if specific options are not configured to the SDK.

You can configure the document step to capture single document types with specific properties using the DocumentCaptureStepBuilder class's functions for the corresponding document types.

Document Type	Configuration function	Configurable Properties
Passport	forPassport()
National Identity Card	forNationalIdentity()	- country - documentFormat
Driving Licence	forDrivingLicence()	- country - documentFormat
Residence Permit	forResidencePermit()	- country
Visa	forVisa()	- country
Work Permit	forWorkPermit()	- country
Generic	forGenericDocument()	- country

Note GENERIC document type doesn't offer an optimised capture experience for a desired document type.

Document type

The list of document types visible for the user to select can be shown or hidden using this option. If only one document type is specified, users will not see the document selection screen or country selection screen and will be taken directly to the capture screen.

Each document type has its own configuration class.

Customizing the document type selection screen

You can also customize the document type selection screen to display a specific list of documents for a user to select from. Use the configuration function to specify the document types to show on the document type selection screen.

⚠️ Currently you can only include PASSPORT, NATIONAL_IDENTITY_CARD, DRIVING_LICENCE, RESIDENCE_PERMIT in the list.

For example, to hide the Driving Licence Document type:

Java

List<DocumentType> documentTypes = new ArrayList<>();
documentTypes.add(DocumentType.PASSPORT);
documentTypes.add(DocumentType.NATIONAL_IDENTITY_CARD);
documentTypes.add(DocumentType.RESIDENCE_PERMIT);

onfidoConfigBuilder.withAllowedDocumentTypes(documentTypes);

Kotlin

val documentTypes = listOf(
    DocumentType.PASSPORT,
    DocumentType.NATIONAL_IDENTITY_CARD,
    DocumentType.RESIDENCE_PERMIT
)

onfidoConfigBuilder.withAllowedDocumentTypes(documentTypes)

Document country

The configuration function allows you to specify the document's country of origin. If a document country is specified for a document type, the country selection screen is not displayed.

Note: You can specify country for all document types except Passport. This is because passports have the same format worldwide so the SDK does not require this additional information.

For example to only capture UK driving licences:

Java

FlowStep drivingLicenceCaptureStep = DocumentCaptureStepBuilder.forDrivingLicence()
                .withCountry(CountryCode.GB)
                .build();

Kotlin

val drivingLicenceCaptureStep = DocumentCaptureStepBuilder.forDrivingLicence()
                .withCountry(CountryCode.GB)
                .build()

Document format

You can specify the format of a document as Card or Folded. Card is the default document format value for all document types.

If Folded is configured a specific template overlay is shown to the user during document capture.

Note: You can specify Folded document format for French driving licence, South African national identity and Italian national identity only. If you configure the SDK with an unsupported country configuration the SDK will throw a InvalidDocumentFormatAndCountryCombinationException.

For example to only capture folded French driving licences:

Java

FlowStep drivingLicenceCaptureStep = DocumentCaptureStepBuilder.forDrivingLicence()
                .withCountry(CountryCode.FR)
                .withDocumentFormat(DocumentFormat.FOLDED)
                .build();

Kotlin

val drivingLicenceCaptureStep = DocumentCaptureStepBuilder.forDrivingLicence()
                .withCountry(CountryCode.FR)
                .withDocumentFormat(DocumentFormat.FOLDED)
                .build()

⚠️ Not all document - country combinations are supported. Unsupported documents will not be verified. If you decide to bypass the default country selection screen by replacing the FlowStep.CAPTURE_DOCUMENT with a CaptureScreenStep, please make sure that you are specifying a supported document. We provide an up-to-date list of our supported documents.

Face capture step

In this step a user can use the front camera to capture either a live photo of their face, or a live video.

The Face step has 2 variants:

To configure for a live photo use FlowStep.CAPTURE_FACE or FaceCaptureStepBuilder.forPhoto().
To configure for a live video use FaceCaptureStepBuilder.forVideo().

Introduction screen

By default both face and video variants show an introduction screen. This is an optional screen. You can disable it using the withIntro(false) function.

FlowStep faceCaptureStep = FaceCaptureStepBuilder.forVideo()
                .withIntro(false)
                .build();

Confirmation screen

By default both face and video variants show a confirmation screen. To not display the recorded video on the confirmation screen, you can hide it using the withConfirmationVideoPreview function.

FlowStep faceCaptureStep = FaceCaptureStepBuilder.forVideo()
                .withConfirmationVideoPreview(false)
                .build();

Errors

The Face step can be configured to allow for either a photo or video flow. A custom flow cannot contain both the photo and video variants of the face capture. If both types of FaceCaptureStep are added to the same custom flow, a custom IllegalArgumentException will be thrown at the beginning of the flow, with the message "Custom flow cannot contain both video and photo variants of face capture".

Proof of address step

In the Proof of Address step, a user picks the issuing country and type of document that proves their address before capturing the document with their phone camera or uploading it.

Finish step

The final screen displays a completion message to the user and signals the end of the flow. This is an optional screen.

Enabling NFC extraction (beta)

Some passports and ID cards contain a chip which can be accessed using NFC. The SDK provides a set of screens to extract the information contained in the chip to verify the original document is present.

Prerequisites

NFC dependencies are not included in the SDK to avoid increasing the SDK size when the NFC feature is disabled. To use the NFC feature, you need to include the following dependencies (with the specified versions) in your build script:

implementation "net.sf.scuba:scuba-sc-android:0.0.23"
implementation "org.jmrtd:jmrtd:0.7.32"

SDK integration

⚠️ Note This feature is currently in beta and the API is subject to change.

Kotlin

val config = OnfidoConfig.builder(context)
    .withNFCReadBetaFeature()
    .build()

Java

OnfidoConfig config = OnfidoConfig.builder(context)
    .withNFCReadBetaFeature()
    .build()

You also need to add the following Proguard rules to your proguard-rules.pro file:

-keep class org.jmrtd.** { *; }
-keep class net.sf.scuba.** {*;}
-keep class org.bouncycastle.** {*;}
-keep class org.ejbca.** {*;}

-dontwarn kotlin.time.jdk8.DurationConversionsJDK8Kt
-dontwarn org.ejbca.**
-dontwarn org.bouncycastle.**
-dontwarn module-info
-dontwarn org.jmrtd.**
-dontwarn net.sf.scuba.**

You can find further details in our NFC for Document Report guide.

UI customization

For visualizations of the available options please see our SDK customization guide.

Colors

You can define custom colors inside your own colors.xml file:

onfidoColorPrimary: Defines the background color of the Toolbar which guides the user through the flow
onfidoColorPrimaryDark: Defines the color of the status bar above the Toolbar
onfidoTextColorPrimary: Defines the color of the title on the Toolbar
onfidoTextColorSecondary: Defines the color of the subtitle on the Toolbar
onfidoColorAccent: Defines the color of the FloatingActionButton which allows the user to move between steps, as well as some details on the alert dialogs shown during the flow
onfidoPrimaryButtonColor: Defines the background color of the primary action buttons (e.g. proceed to the next flow step, confirm picture/video, etc), the color of the text on the secondary action buttons (e.g. retake picture/video) and the background color of some icons and markers during the flow
onfidoPrimaryButtonColorPressed: Defines the background color of the primary action buttons when pressed
onfidoPrimaryButtonTextColor: Defines the color of the text inside the primary action buttons

Widgets

You can customize the appearance of some widgets in your dimens.xml file by overriding:

onfidoButtonCornerRadius: Defines the radius dimension of all the corners of primary and secondary buttons

Typography

You can customize the fonts by providing font XML resources to the theme by setting OnfidoActivityTheme to one of the following:

onfidoFontFamilyTitleAttr: Defines the fontFamily attribute that is used for text which has typography type Title
onfidoFontFamilyBodyAttr: Defines the fontFamily attribute that is used for text which has typography type Body
onfidoFontFamilySubtitleAttr: Defines the fontFamily attribute that is used for text which has typography type Subtitle
onfidoFontFamilyButtonAttr: Defines the fontFamily attribute that is applied to all primary and secondary buttons
onfidoFontFamilyToolbarTitleAttr: Defines the fontFamily attribute that is applied to the title and subtitle displayed inside the Toolbar
*onfidoFontFamilyDialogButtonAttr: Defines the fontFamily attribute that is applied to the buttons inside AlertDialog and BottomSheetDialog

For example:

In your application's styles.xml:

<style name="OnfidoActivityTheme" parent="OnfidoBaseActivityTheme">
        <item name="onfidoFontFamilyTitleAttr">@font/montserrat_semibold</item>
        <item name="onfidoFontFamilyBodyAttr">@font/font_montserrat</item>

        <!-- You can also make the dialog buttons follow another fontFamily like a regular button -->
        <item name="onfidoFontFamilyDialogButtonAttr">?onfidoFontFamilyButtonAttr</item>

        <item name="onfidoFontFamilySubtitleAttr">@font/font_montserrat</item>
        <item name="onfidoFontFamilyButtonAttr">@font/font_montserrat</item>
        <item name="onfidoFontFamilyToolbarTitleAttr">@font/font_montserrat_semibold</item>
</style>

Localization

The Onfido Android SDK supports and maintains translations for the following locales:

English (en) 🇬🇧
Spanish (es) 🇪🇸
French (fr) 🇫🇷
German (de) 🇩🇪
Italian (it) 🇮🇹
Portuguese (pt) 🇵🇹
Dutch (nl) 🇳🇱

Custom language

The Android SDK also allows for the selection of a specific custom language for locales that Onfido does not currently support. You can have an additional XML strings file inside your resources folder for the desired locale (for example, res/values-it/onfido_strings.xml for 🇮🇹 translation), with the content of our strings.xml file, translated for that locale.

When adding custom translations, please make sure you add the whole set of keys we have on strings.xml. In particular, onfido_locale, which identifies the current locale being added, must be included. The value for this string should be the ISO 639-1 2-letter language code corresponding to the translation being added. Examples: - When adding a translations file inside values-ru (russian translation), the onfido_locale key should have ru as its value - When adding a translations file inside values-en-rUS (american english translation), the onfido_locale key should have en as its value

Without onfido_locale correctly included, we won't be able to determine which language the user is likely to use when doing the video liveness challenge. It may result in our inability to correctly process the video, and the check may fail.

By default, we infer the language to use from the device settings. However, you can also use the withLocale(Locale) method of the OnfidoConfig.Builder to select a specific language.

Note: If the strings translations change it will result in a minor version change. If you have custom translations you're responsible for testing your translated layout.

If you want a locale translated you can get in touch with us at [email protected].

Custom Callbacks

Media Callbacks BETA

Introduction

Onfido provides the possibility to integrate with our Smart Capture SDK, without the requirement of using this data only through the Onfido API. Media callbacks enable you to control the end user data collected by the SDK after the end user has submitted their captured media. As a result, you can leverage Onfido’s advanced on-device technology, including image quality validations, while still being able to handle end users’ data directly. This unlocks additional use cases, including compliance requirements and multi-vendor configurations, that require this additional flexibility. This feature must be enabled for your account. Please contact your Onfido Solution Engineer or Customer Success Manager.

Implementation

To use this feature use .withMediaCallback and provide the callbacks for DocumentResult, SelfieResult and LivenessResult.

Java

onfidoConfigBuilder.withMediaCallback(new CustomMediaCallback());
private static class CustomMediaCallback implements MediaCallback {

    @Override
    public void onMediaCaptured(@NonNull MediaResult result) {
        if (result instanceof DocumentResult) {
            // Your callback code here
        } else if (result instanceof LivenessResult) {
            // Your callback code here
        } else if (result instanceof SelfieResult) {
            // Your callback code here
        }
    }
}

⚠️ Note: Don’t forget to set the inner class to static if outer class is not Serializable

Kotlin:

onfidoConfigBuilder
    .withMediaCallback { mediaResult ->
        when(mediaResult){
            is DocumentResult -> // Your callback code here
            is SelfieResult -> // Your callback code here
            is LivenessResult -> // Your callback code here
        }
    }

⚠️ Note: Don’t forget to use a nested class if the outer class is not Serializable

User data

The callbacks return an object including the information that the SDK normally sends directly to Onfido. The callbacks are invoked when the end user confirms submission of their image through the SDK’s user interface. Note: Currently, end user data will still automatically be sent to the Onfido backend. You are not required to use Onfido to process this data.

Documents

For documents the callback returns a DocumentResult object:

{
    fileData: MediaFile
    documentMetadata: DocumentMetadata
}

The DocumentMetadata object contains the metadata of the captured document.

{
   side: String,
   type: String,
   issuingCountry: String
}

⚠️ Note: issuingCountry is optional based on end-user selection, and can be null

⚠️ Note: If a document was scanned using NFC, the callback will only return the MediaFile.

Live photos and videos

For live photos the callback returns a SelfieResult object:

{
  fileData: MediaFile
}

For live videos the callback returns a LivenessResult object:

{
  fileData: MediaFile
}

The MediaFile object contains the raw data and MIME type of the captured photo or video.

{
  fileData: ByteArray,
  fileType: String
}

Create a check with Onfido

After receiving the user data from the SDK, you can choose to create a check with Onfido. In this case, you don’t need to re-upload the end user data as it is sent automatically from the SDK to the Onfido backend.

Please see our API documentation for more information on how to create a check.

Creating checks

The SDK is responsible for the capture of identity documents and selfie photos and videos. It doesn't perform any checks against the Onfido API. You need to access the Onfido API in order to manage applicants and perform checks.

For a walkthrough of how to create a check with a Document and Facial Similarity report using the Android SDK read our Mobile SDK Quick Start guide.

Read our API documentation for further details on how to create a check with the Onfido API.

Note: If you're testing with a sandbox token, please be aware that the results are pre-determined. You can learn more about sandbox responses.

Note: If you're using API v2, please refer to the API v2 to v3 migration guide for more information.

Setting up webhooks

Reports may not return results straightaway. You can set up webhooks to be notified upon completion of a check or report, or both.

User Analytics

The SDK allows you to track a user's progress through the SDK via an overrideable hook. This gives insight into how your users make use of the SDK screens.

Overriding the hook

In order to expose a user's progress through the SDK an hook method must be overridden using OnfidoConfig.Builder. You can do this when initializing the Onfido SDK. For example:

Java:

// Place your listener in a separate class file or make it a static class

class OnfidoEventListener implements OnfidoAnalyticsEventListener {

    private final Context applicationContext;
    private final Storage storage;
        
    OnfidoEventListener(Context applicationContext, Storage storage) {
        this.applicationContext = applicationContext;
        this.storage = storage;
    }

    @Override
    public void onEvent(@NonNull OnfidoAnalyticsEvent event) {
        // Your tracking or persistence code
        // You can persist the events to storage and track them once the SDK flow is completed or exited with an error
        // This appraoch can help to scope your potential network calls to the licecycle of your activity or fragment
        // storage.addToList("onfidoEvents", event);
    }
}
private static final int ONFIDO_FLOW_REQUEST_CODE = 100;
OnfidoConfig onfidoConfig = OnfidoConfig.builder(applicationContext)
    .withAnalyticsEventListener(new OnfidoEventListener(applicationContext, storage))
    .build();
Onfido.startActivityForResult(this, ONFIDO_FLOW_REQUEST_CODE, onfidoConfig);

Kotlin:

// Place your listener in a separate class file

class OnfidoEventListener(
    private val applicationContext: Context,
    private val storage: Storage
) : OnfidoAnalyticsEventListener {

    override fun onEvent(event: OnfidoAnalyticsEvent) {
        // Your tracking or persistence code
        // You can persist the events to storage and track them once the SDK flow is completed or exited with an error
        // This appraoch can help to scope your potential network calls to the licecycle of your activity or fragment
        // storage.addToList("onfidoEvents", event)
    }
}

companion object {
    private const val ONFIDO_FLOW_REQUEST_CODE = 100
}

val onfidoConfig = OnfidoConfig.builder(applicationContext)
    .withAnalyticsEventListener(new OnfidoEventListener(applicationContext, storage))
    .build()
Onfido.startActivityForResult(this, ONFIDO_FLOW_REQUEST_CODE, onfidoConfig)

The code inside the overridden method will now be called when a particular event is triggered, usually when the user reaches a new screen. Please use a static or separate class instead of a lambda or an anonymous inner class to avoid leaking the outer class, e.g. Activity or Fragment. Also refrain from using Activity or Fragment context references in your listener to prevent memory leaks and crashes. If you need access to a context object, you can inject your application context in the constructor of your listener as shown in the above example. As a better appraoch, you can wrap your application context in a single-responsibility class (such as Storage or APIService) and inject it in your listener, as shown in the example.

Note:

UserEventHandler is deprecated now, if you are upgrading from a previous Onfido SDK version, please migrate to OnfidoAnalyticsEventListener and remove you existing listener (Onfido.userEventHandler) otherwise you will get duplicated events (from both the legacy event handler and the new event listener).

For a full list of events see TRACKED_EVENTS.md.

property	description
`type`	OnfidoAnalyticsEventType Indicates the type of event. Potential values (enum instances) are `FLOW`, `SCREEN`, `ACTION`, `ERROR`.
`properties`	Map<OnfidoAnalyticsPropertyKey, String?> Contains details of an event. For example, you can get the name of the visited screen using the `SCREEN_NAME` property. The current potential property keys are: `SCREEN_NAME`, `SCREEN_MODE`, `DOCUMENT_TYPE`, `COUNTRY_CODE`, `VIDEO_CHALLENGE_TYPE`, `IS_AUTOCAPTURE`.

Properties

SCREEN_NAME

The name of the visited screen, e.g. WELCOME, DOCUMENT_CAPTURE, etc.

SCREEN_MODE

Screen orientation in json, potential values are "portrait" or "landscape".

DOCUMENT_TYPE

Type of the selected document for capture, e.g. passport, national_id, driving_licence, etc.

COUNTRY_CODE

The 2-letter iso code of the selected country, e.g. US, UK, DE, etc,

DOCUMENT_FORMAT

Format of the document to capture, used in the DOCUMENT_CAPTURE event. Possible values are card and folded.

COUNTRY_CODE

The ISO code of the selected country, used in the COUNTRY_SELECTION event.

VIDEO_CHALLENGE_TYPE

Type of the displayed liveness video challenge, e.g. recite, movement.

IS_AUTOCAPTURE

Whether or auto-capture was used.

Using the data

You can use the data to keep track of how many users reach each screen in your flow. You can do this by storing the number of users that reach each screen and comparing that to the number of users who reached the Welcome screen.

Going live

Once you are happy with your integration and are ready to go live, please contact Client Support to obtain a live API token. You'll have to replace the sandbox tokens in your code with live tokens.

Check the following before you go live:

you have set up webhooks to receive live events
you have entered correct billing details inside your Onfido Dashboard

Cross platform frameworks

We provide integration guides and sample applications to help customers integrate the Onfido Android SDK with applications built using the following cross-platform frameworks:

We don't have out-of-the-box packages for such integrations yet, but these projects show complete examples of how our Android SDK can be successfully integrated in projects targeting these frameworks. Any issues or questions about the existing integrations should be raised on the corresponding repository and questions about further integrations should be sent to [email protected].

Migrating

You can find the migration guide in the MIGRATION.md file.

Security

Certificate Pinning

You can pin any communication between our SDK and server through the .withCertificatePinning() method in our OnfidoConfig.Builder configuration builder. This method accepts as a parameter an Array<String> with sha-1/sha-256 hashes of the certificate's public keys.

For more information about the hashes, please email [email protected].

Accessibility

The Onfido Android SDK has been optimised to provide the following accessibility support by default:

Screen reader support: accessible labels for textual and non-textual elements available to aid TalkBack navigation, including dynamic alerts
Dynamic font size support: all elements scale automatically according to the device's font size setting
Sufficient color contrast: default colors have been tested to meet the recommended level of contrast
Sufficient touch target size: all interactive elements have been designed to meet the recommended touch target size

Refer to our accessibility statement for more details.

Licensing

Due to API design constraints, and to avoid possible conflicts during the integration, we bundle some of our 3rd party dependencies as repackaged versions of the original libraries. For those, we include the licensing information inside our .aar, namely on the res/raw/onfido_licenses.json. This file contains a summary of our bundled dependencies and all the licensing information required, including links to the relevant license texts contained in the same folder. Integrators of our library are then responsible for keeping this information along with their integrations.

More information

Sample App

We have included a sample app to show how to integrate the Onfido SDK.

API Documentation

Further information about the Onfido API is available in our API reference.

Support

Please open an issue through GitHub. Please be as detailed as you can. Remember not to submit your token in the issue. Also check the closed issues to see whether it has been previously raised and answered.

If you have any issues that contain sensitive information please send us an email with the ISSUE: at the start of the subject to [email protected].

Previous version of the SDK will be supported for a month after a new major version release. Note that when the support period has expired for an SDK version, no bug fixes will be provided, but the SDK will keep functioning (until further notice).

Name		Name	Last commit message	Last commit date
Latest commit History 164 Commits
.github		.github
documentation		documentation
key_migration		key_migration
sample-app		sample-app
.gitignore		.gitignore
CHANGELOG.MD		CHANGELOG.MD
LICENSE.txt		LICENSE.txt
MIGRATION.md		MIGRATION.md
README.md		README.md
TRACKED_EVENTS.md		TRACKED_EVENTS.md
gifs.gif		gifs.gif
screenshots.jpg		screenshots.jpg
screenshots.png		screenshots.png
strings.xml		strings.xml

License

ShellMotix/onfido-android-sdk

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Onfido Android SDK

Table of contents

Overview

Getting started

1. Obtain an API token

1.1 Regions

2. Add the SDK dependency

2.1 onfido-capture-sdk

2.1.1 Multi-APK split

2.2 onfido-capture-sdk-core

3. Create an applicant

4. Configure the SDK with a token

4.1 tokenExpirationHandler

Kotlin

Java

5. Instantiate the client

6. Start the flow

Handling callbacks

Customizing the SDK

Flow customization

Exiting the flow

Welcome step

Consent step

Document capture step

Customizing the document type selection screen

Java

Kotlin

Java

Kotlin

Java

Kotlin

Face capture step

Proof of address step

Finish step

Enabling NFC extraction (beta)

Prerequisites

SDK integration

Kotlin

Java

UI customization

Localization

Custom Callbacks

Media Callbacks BETA

Introduction

Implementation

Java

Kotlin:

User data

Documents

Live photos and videos

Create a check with Onfido

Creating checks

Setting up webhooks

User Analytics

Overriding the hook

Properties

SCREEN_NAME

SCREEN_MODE

DOCUMENT_TYPE

COUNTRY_CODE

DOCUMENT_FORMAT

COUNTRY_CODE

VIDEO_CHALLENGE_TYPE

IS_AUTOCAPTURE

Using the data

Going live

Cross platform frameworks

Migrating

Security

Certificate Pinning

Accessibility

Licensing

More information

Sample App

2.1 `onfido-capture-sdk`

2.2 `onfido-capture-sdk-core`

4.1 `tokenExpirationHandler`

Packages