SmartComply Android SDK
The SmartComply Android SDK delivers a fully self-contained identity verification flow for Android apps. Launch one Activity and the SDK handles session management, country and ID-type selection, document capture, identity verification, and liveness detection automatically.Features
- Single-Activity launch — start verification with one Intent and receive a typed result back
- Two verification modes — document photo capture or ID number data entry, configured from your Dashboard
- Guide-box document capture — frames the ID card precisely so images are always clean and correctly cropped
- ID photo checked on the phone: for passports and the older Kenyan national ID, with every other document checked by the backend as before, the code at the bottom of the document is read on the device before upload, so a cut-off or blurred photo is retaken before it costs a check. See Checking the photo on the phone
- ID checked before the selfie: the backend reads the ID and checks it against the government registry first, so a cropped or misread ID is retaken on the spot. See Document check
- Liveness detection — a passive camera scan (blink plus natural head movement) runs automatically after identity verification, with no step-by-step prompts
- Dynamic ID types — channels and fields are fetched live from your Dashboard configuration
- Multi-country support — renders a country picker automatically when more than one country is configured
- Dark and light mode — theme adapts to the system setting; override via the launch intent
- Your brand, not ours: colour and logo come from the Dashboard, your name appears while the session is being set up, and the font is passed by your app. See Branding
- Any backend host: production, staging, or your own, without a rebuild
- Resubmit: a failed verification can be reopened from the Dashboard, and the customer redoes only the step that failed. See Resuming a failed verification
Requirements
- Android API 24 (Android 7.0) or later
- Kotlin 2.1 or later — the SDK is compiled with the Kotlin 2.1 toolchain, so an older consumer compiler rejects it
- Java 17 — the SDK targets JVM 17
- Jetpack Compose enabled in your module
Installation
1 — Add Maven Central
Insettings.gradle.kts (already present in most projects):
2 — Add the dependency
In your app or feature modulebuild.gradle.kts:
1.4.0 checks the ID photo on the phone. For a Kenyan national ID (back) and a
passport, the review screen reads the code at the bottom of the document before
upload and asks for a retake if it is cut off or unclear. It adds one dependency,
ML Kit text recognition, and the manifest entry changes from
face to face,ocr.
See Checking the photo on the phone.1.3.0 adds Resubmit. Pass the resume token from a Dashboard Resubmit to
buildIntent and the customer redoes only the step that failed. It changes
nothing for a launch without one. A dead token returns TYPE_FAILURE with the new
RESULT_ERROR_CODE extra. See
Resuming a failed verification.Take 1.2.1 or later, not 1.2.0. Up to 1.2.0, on some phones the autoshot and
snapshot upload as a solid green image with vertical stripes instead of the user’s
face. It depends on how the phone’s camera lays out its frames, so it shows on some
models and never on others. Liveness and the face match are unaffected, because
both read the frame correctly; only the stills on the dashboard are wrong. 1.2.1 is
that one fix and changes nothing else.
1.2.0 checks the ID before the selfie, and holds the selfie until the face is
in the oval. The ID now goes up on its own and the backend reads it and checks
it against the government registry before the liveness camera opens, so a
cropped or misread ID is turned back with a retake screen instead of failing
after the whole flow. The selfie and the scan then wait until the user’s whole
face is inside the oval, with no timeout. Two new ways to end the flow return
TYPE_FAILURE. Read Document check and Liveness
before you upgrade.1.1.2 changes when the liveness selfie is taken. Up to 1.1.1 it fired on a
fixed timer half a second after the camera opened, before anything had looked
for a face, so the autoshot on the dashboard was routinely of nobody, of a
ceiling, or of half a face. It now waits for a frame with a whole face in it.
That adds up to 2.5 seconds to the start of the check for a user who is slow to
get into frame, and nothing at all for one who is already there. 1.2.0 removes
that 2.5 second limit; see Liveness.
Take 1.1.1 or later, not 1.1.0. In 1.1.0 every liveness selfie uploads
rotated 90 degrees, so a verification that passes can still report “Face
Detected: No” in the dashboard’s Biometrics panel. 1.1.1 is that one fix and
changes nothing else.
1.1.0 changes how documents are captured. The camera step now takes a
photograph rather than a still of the viewfinder, so it binds a second CameraX
use case in your process, uploads an image roughly five times larger in pixels,
and takes a moment on the shutter where it used to be instant. Read
Document images before you upgrade, and re-test your
document flow. It also fixes a genuine ID being rejected with “No face
detected” and a first run on a device that has never used ML Kit.
1.0.7 changed two behaviours and they still apply.
RESULT_STATUS holds the
real verdict, and the success screen does not mean a pass. Read
Result Extras before upgrading from 1.0.6 or below.3 — Enable Compose
Credentials
Both values come from your Adhere Dashboard and both are permanent. Reuse the same pair for every verification.Permissions
The SDK declares these permissions automatically via manifest merge. You do not need to add them manually unless your project uses a custom manifest merge strategy:SmartComplyActivity requests the CAMERA permission at runtime before it starts the flow, so if you launch through the Activity your app does not need to request it separately. If you embed SmartComplyFlowScreen directly, see Advanced: Custom Host Activity.
From 1.1.0 one meta-data entry merges in as well. From 1.4.0 it reads:
meta-data, keep this one. If your own manifest declares com.google.mlkit.vision.DEPENDENCIES with tools:replace, include both face and ocr in your value, or the photo check on the phone is skipped until the model arrives.
Quick Start
1 — Register the result launcher
In yourActivity or Fragment:
2 — Launch verification
Jetpack Compose
If you are launching from a composable, userememberLauncherForActivityResult:
buildIntent Parameters
Environments
SANDBOX targets a server running on the handset itself, for local backend development. It is not a hosted test environment. Use PRODUCTION for all integration work.
A different host
Environment covers the two hosts you ship against. For anything else, a staging
deployment or a QA build that has to reach more than one backend without being
rebuilt, override it. Added in 1.0.7.
environment rather
than being treated as a host, so a build reading this off an empty field does not
post verifications to a relative URL.
SmartComplyActivity.buildIntent defaults to PRODUCTION, but the SDKConfig constructor used by the embedded flow defaults to SANDBOX. Set environment explicitly when you construct SDKConfig yourself.Result Extras
Read from theIntent returned to your activity result callback.
From 1.0.7 the Activity returns
TYPE_FAILURE when apiKey or clientId is blank, which
is the usual sign of an unset BuildConfig field or a missing CI value. That result carries no
other extras. Before 1.0.7 the same input crashed the host app.From 1.2.0 TYPE_FAILURE is also returned when the user taps End session on a rejected
ID, with the backend’s reason in RESULT_ERROR_MSG, and when they tap Close after the session
has used its three document attempts, with "Verification sent to manual review". See
Document check.RESULT_VERIFIED_NAME and RESULT_ID_NUMBER are populated from the result poll as well as
from submit, from 1.0.7. In document mode they previously appeared only when OCR happened
to finish before the user completed liveness, so whether a user saw their own name came down
to timing.The
liveness.completed webhook is the authoritative record. The value here is the same verdict delivered earlier for convenience, and it is absent when the worker is slow; the webhook always arrives.Verification Flow
The SDK steps through these screens automatically.Document check
From 1.2.0 the ID is checked before the liveness camera opens. Up to 1.1.2 it went up with the selfie once the scan had started, so a cropped or misread ID was only rejected after the whole flow, and Try Again threw away both photos. After the last photo the SDK uploads the ID on its own, polls for the result for up to 90 seconds, and shows the user one of these:
The message on the rejection screens is the backend’s own. A retake reuses the same entry,
and liveness then submits to that entry rather than creating a new one. A rejected ID is
not billed. End session and Close return
TYPE_FAILURE with the reason in
RESULT_ERROR_MSG.
Data mode is unchanged: it has no document to check.
Checking the photo on the phone
From 1.4.0, before a photo is uploaded, the SDK reads the machine readable zone (the two or three lines of letters, numbers and< at the bottom of the document) on the
phone and checks every line is there and every check digit adds up. A cut-off, blurred
or covered photo is caught in under a second, instead of after the backend has read it.
This is an extra check in front of the backend, not a limit on which documents are
supported. Every document type your Dashboard offers still works on both SDKs. More
documents will get the check on the phone as their code formats are confirmed.
What the user sees on the review screen:
The message says the document is cut off or unclear, or, when no code is found at all,
that the user may have photographed the wrong side.
The check never blocks a photo it cannot judge. If the text model is not on the phone
yet, the check takes longer than 5 seconds, or the card is a different Kenyan ID (the
Maisha Namba), the photo goes through exactly as in 1.3.0 and the backend checks it.
Nothing read from the code is sent anywhere or logged.
Document images
Document photos are capped at 5 MB server-side, in JPG or PNG. Both routes are held to 1600px on the long edge and re-encoded at JPEG quality 85, so a full-resolution phone photo does not fail withFile too large. Maximum size is 5MB.
A gallery pick is also rotated to match its EXIF orientation from 1.1.0. Before that it was uploaded as decoded, so a normal phone photo reached the backend sideways.
Before the review screen the SDK checks the front photo contains a face. A failure is a warning, not a block: the user can still confirm, because a false negative would otherwise trap someone holding a genuine but unusual ID. The backend is the check that actually rejects, and from 1.2.0 it does so before the selfie: see Document check. From 1.4.0 the back of a Kenyan ID and a passport photo page are also checked on the device: see Checking the photo on the phone.
From 1.1.0 that check runs ML Kit’s accurate model. The fast one it used before does not find the portrait on a laser-engraved card, so genuine IDs of that kind, Kenya’s Maisha Namba among them, were told “No face detected”.
Resuming a failed verification
From 1.3.0. When a verification fails, your team can click Resubmit on it in the Adhere Dashboard. That issues a single-use resume token, valid for 24 hours. Launch the SDK with it and the customer redoes only the step that failed, on the same verification, instead of starting again.1
Receive the token on your backend
It arrives in the
liveness.resubmit_requested webhook.
Without a webhook URL on your SDK Config, it is shown in the Resubmit dialog for your
team to copy.2
Get it to the customer's app
Getting it onto the phone is up to you; see the warning below.
3
Launch with it
The result comes back exactly as for any other run:
TYPE_SUCCESS with RESULT_STATUS,
and a liveness.completed webhook with the same verification_id as the original.
A token that is expired, already used, or replaced by a newer Resubmit shows a
“Link No Longer Valid” screen. Its Close returns TYPE_FAILURE with
RESULT_ERROR_CODE set to SmartComplyActivity.ERROR_RESUME_LINK_INVALID. Issue a new
token rather than launching without one, which would start an unrelated verification.
The attempt limit carries over. Three failed attempts per verification, counted across
the original session and the resume. A verification that has used them cannot be
resubmitted; it goes to manual review instead. A customer who reaches the limit during the
resume sees the same We couldn’t finish your verification screen as in
Document check.
On the embedded flow, pass resumeToken to
SmartComplyFlowScreen and handle onResumeLinkInvalid, which falls back to onError
when you leave it out. Do not call createSession() yourself in that case: a new session
replaces the token and the resume is silently lost.
Branding
The flow carries your brand, not Adhere’s. Colour and logo come from the SDK Config on the dashboard, so they change without an app release, and your name is shown while the session is being set up. The font is the one exception and is passed by the host.
The welcome heading and subheading are fixed SDK copy: “Verify Your Identity”, then one of two
lines keyed off the verification mode.
Logo
Upload it under Settings → Integrations → SDK → Brand Details. PNG, JPEG or WebP, up to 512 KB and 1024x1024 pixels. Requires 1.0.7. It is drawn on its own, with no box or border behind it, and bounded by height rather than fitted into a square so a wordmark stays legible. Only the SDK’s fallback shield sits in a tinted frame. The logo belongs to the SDK Config, not the company. A branch running several configs for different products gives each its own mark, and a config with no logo shows the SDK’s own shield rather than falling back to the company logo on your profile page. If you want the same mark everywhere, upload it to each config.A logo never delays or blocks a verification. The SDK fetches it after the
welcome screen is already on screen, on a three second budget, and keeps its own
shield if the fetch fails. It is also decoded with a size cap, so an oversized
image cannot exhaust memory on the handset.
Font
Passed by your app, because the SDK neither ships nor downloads font files: your loading, caching and licensing stay yours. Requires 1.0.7. ThroughbuildIntent, with a font resource:
SmartComplyFlowScreen yourself, with a FontFamily directly,
which is the only way to control each weight:
fontResId at an XML font family rather than a single font file and the
platform resolves real faces per weight on API 28+. A single file is used for every
weight, which flattens the SDK’s type hierarchy.
A font resource that cannot be loaded, including one R8 has stripped, falls back
to the platform font. It does not fail the verification.
Liveness
Two actions are drawn fromBLINK and TURN_HEAD in random order and detected passively. Both are watched on every frame, neither is named to the user, and the HUD only reports how many are done: there is no prompted sequence.
The scan has a 20 second cap.
When the autoshot is taken
Two stills leave the device. The autoshot is taken before the scan starts and the snapshot once both actions are done. Both come off the analysis stream, so neither is a composed photograph: 720px on the long edge at JPEG quality 72. Up to 1.2.0 some phones uploaded both as a green, striped image; see the 1.2.1 note under Add the dependency. From 1.2.0, in document mode the autoshot goes up with the video, because the entry already exists from the document check. In data mode it goes up withliveness.create as before.
From 1.2.0 nothing starts until the whole face is inside the oval. After a 400ms settle
the SDK holds the autoshot until three consecutive frames show the face inside the oval the
user is looking at, and there is no timeout. Up to 1.1.2 it gave up after 2.5 seconds and
took whatever frame it had, which is how a selfie of nobody could still be uploaded, and up
to 1.1.1 it fired on a fixed timer without looking for a face at all.
- The prompt says what is wrong. “Position your face in the oval” when there is no face, “Move back a little” when the face is centred but too big to fit, and “Fit your whole face inside the oval” when it is off to one side or too low. It stays up until the face is in.
- During the scan an action only counts while the face is in the oval. If the face is out for more than about half a second the prompt comes back and nothing is credited until it returns. The grace keeps a head turn, which swings the face across the edge, from flashing the prompt.
- The 20 second cap starts after the autoshot, so a user who takes a while to get into position still has the full window.
- How the oval is judged. ML Kit’s face box is mapped onto the preview as it is displayed, and the face is taken as 80% of the box because the box runs wider than the face: on a TECNO KI7, a face comfortably inside the oval measured a box about 1.1 times its width. The face must also be wholly inside the camera frame with an 8% margin, at least 18% of the frame width, and within 30 degrees of facing the camera.
What the success screen means
Nothing about the verdict. Every submitted entry reaches it, whether the backend passed or failed the check. The submit call returnsprocessing, because the backend resolves face matching on a worker moments later. The SDK polls for up to about 15 seconds and puts whatever it learns in RESULT_STATUS, then shows the success screen either way. A user who failed is not told so and is not offered a retry.
This is a product decision, not an oversight: tenants asked for the end user to see a submitted verification as accepted, and to act on the real verdict themselves from the dashboard and the webhook. It means you have to close the loop with a user who failed.
Pre-submission failures are unaffected and still show their own screens: a denied camera, a configuration or network error, reaching the 20 second liveness cap, and from 1.2.0 a rejected ID. Nothing has been billed at that point and the user can recover on the spot.
SDK Configuration
Error Handling
SmartComplyActivity handles and displays all error states inside the flow: an invalid key, an expired session, or an exhausted upload retry all render the SDK’s own failure screen with a Try Again button. From 1.0.7 the Activity also returns immediately, before any screen renders, when apiKey or clientId is blank. Otherwise it returns a result only when the user completes the flow or backs out.
Advanced: Custom Host Activity
If you need to embed the verification flow directly inside your ownComponentActivity instead of launching a separate screen, you can use SmartComplyFlowScreen as a Compose composable:
You do not need to request
CAMERA yourself. From 1.0.2 the composable routes through its own permission screen in both verification modes, before the ID-input or document-capture step, and skips it silently once the permission is granted.On 1.0.1 and earlier data mode never asked, so if the permission had not already been granted the camera never opened: the liveness preview stayed black and the flow ended with Recording failed: Recording finalized with error code 4. If you are pinned to an older version, request CAMERA yourself before entering the flow, or launch through SmartComplyActivity, which always asked for both modes.Dependencies
From 1.0.3 the SDK no longer depends on Ktor. It uses OkHttp directly, so your own Ktor version cannot conflict with ours. From 1.4.0 it also depends oncom.google.android.gms:play-services-mlkit-text-recognition:19.0.1, next to the face
detection library it already used. Both come through Google Play Services, so they add a
few hundred KB to your app and the models are fetched by Play Services, not bundled.
ProGuard / R8
There is nothing to do. The SDK ships consumer ProGuard rules inside the AAR, so R8 applies them to your app automatically. They keep the generated kotlinx.serialization serializers andSmartComplyActivity; OkHttp and ML Kit ship their own rules. 1.4.0
was built into a minified release app with no new rules needed.

