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                <div id="screen-initial">
  <h1 id="msg">Loading...</h1>
  <progress id="load-progress" value="0" max="100"></progress>

<div id="screen-start" class="hidden">
  <a href="#" id="start-scan">Start scan</a>

<div id="screen-scanning" class="hidden">
  <video id="camera-feed" playsinline></video>
  <p id="camera-guides">
    Point the camera towards the barcode on ID document.


                * {
  box-sizing: border-box;

body {
  width: 100%;
  height: 100%;

html {
  margin: 0;
  padding: 0;
  font-size: 16px;
  line-height: 24px;
  font-family: sans-serif;

body {
  display: flex;
  min-height: 100%;
  margin: 0;
  padding: 1.5rem;
  justify-content: center;
  align-items: center;

#screen-scanning {
  display: block;
  width: 100%;
  height: 100%;

/* Rules for better readability */
img {
  display: block;
  width: 100%;
  max-width: 320px;
  height: auto;

video {
  width: 100%;
  height: 100%;

textarea {
  display: block;

/* Camera feedback */
#screen-scanning {
  position: relative;

#camera-feedback {
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  bottom: 0;

  width: 100%;
  height: 100%;

#camera-guides {
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  text-align: center;
  font-weight: bold;

/* Auxiliary classes */
.hidden {
  display: none !important;



 * BlinkID In-browser SDK demo app which demonstrates how to:
 * - Change default SDK settings
 * - Scan the barcode from the identity document with web camera

// General UI helpers
const initialMessageEl = document.getElementById("msg");
const progressEl = document.getElementById("load-progress");

// UI elements for scanning feedback
const cameraFeed = document.getElementById("camera-feed");
const scanFeedback = document.getElementById("camera-guides");

 * Check browser support, customize settings and load WASM SDK.
function main() {
    // Check if browser has proper support for WebAssembly
    if (!BlinkIDSDK.isBrowserSupported()) {
        initialMessageEl.innerText = "This browser is not supported!";

    // 1. It's possible to obtain a free trial license key on
    const licenseKey =  "sRwAAAYHY2Rwbi5pb5ZgjD0UloirGkl5CZLN/5Kx6E92R00Hs2R+VMM6RxDczin4Ip1IuwC7s6oc3R1FvsV1ywzJ4Ew1nt9yl7jnKQ5yK85HFZAxX9rNymC0QQvMWHuzFNqs0mIVGlfjDZfKzXfLDiiRwR7fUaULUA5MZci10KjYLcEz3ixWI2OLcTZs/lnZXMLmBzlmUxPQVA45xWjxEnMfgI9bpaFfXu+lqQctDLtQ51zx9Ua1fANjR5IT/PGTTgubbp4K1Yg5cQRqWcopP+f/U6zKUz8htmLlgusZt4muGHELqlSE+Rg9+TNInxk/5H9iFhHztyDSYItforT6a7CpmRU/Zy36tOEm1ztV";

    // 2. Create instance of SDK load settings with your license key
    const loadSettings = new BlinkIDSDK.WasmSDKLoadSettings(licenseKey);

    // [OPTIONAL] Change default settings
    // Show or hide hello message in browser console when WASM is successfully loaded
    loadSettings.allowHelloMessage = true;
    // In order to provide better UX, display progress bar while loading the SDK
    loadSettings.loadProgressCallback = (progress) => (progressEl.value = progress);

    // Set relative or absolute location of the engine, i.e. WASM and support JS files
    loadSettings.engineLocation = "";

    // 3. Load SDK
        (sdk) => {
                ?.addEventListener("click", (ev) => {
        (error) => {
            initialMessageEl.innerText = "Failed to load SDK!";
            console.error("Failed to load SDK!", error);
 * Scan single side of identity document with web camera.
async function startScan(sdk) {

    // 1. Create a recognizer objects which will be used to recognize single image or stream of images.
    // ID Barcode Recognizer - scan barcodes from various ID documents
    const idBarcodeRecognizer = await BlinkIDSDK.createIdBarcodeRecognizer(sdk);
    // [OPTIONAL] Create a callbacks object that will receive recognition events, such as detected object location etc.
    const callbacks = {
        onDetectionFailed: () => (scanFeedback.innerText = "Detection failed"),

    // 2. Create a RecognizerRunner object which orchestrates the recognition with one or more
    //    recognizer objects.
    const recognizerRunner = await BlinkIDSDK.createRecognizerRunner(
        // SDK instance to use
        // List of recognizer objects that will be associated with created RecognizerRunner object
        // [OPTIONAL] Should recognition pipeline stop as soon as first recognizer in chain finished recognition
        // [OPTIONAL] Callbacks object that will receive recognition events

    // 3. Create a VideoRecognizer object and attach it to HTMLVideoElement that will be used for displaying the camera feed
    const videoRecognizer = await BlinkIDSDK.VideoRecognizer.createVideoRecognizerFromCameraStream(

    // 4. Start the recognition and await for the results
    const processResult = await videoRecognizer.recognize();

    // 5. If recognition was successful, obtain the result and display it
    if (processResult !== BlinkIDSDK.RecognizerResultState.Empty) {
        const idBarcodeResult = await idBarcodeRecognizer.getResult();
        if (idBarcodeResult.state !== BlinkIDSDK.RecognizerResultState.Empty) {
            console.log("IDBarcode results", idBarcodeResult);
            const firstName = idBarcodeResult.firstName;
            const lastName  = idBarcodeResult.lastName;
            const year      = idBarcodeResult.dateOfBirth.year;
            const month     = idBarcodeResult.dateOfBirth.month;
            const day       =;
            const addresss  = idBarcodeResult.address;

              `Hello, ${firstName} ${lastName}!\nYou were born on ${year}-${month}-${day} and you live at ${address}.`
    } else {
        alert("Could not extract information!");

    // 7. Release all resources allocated on the WebAssembly heap and associated with camera stream
    // Release browser resources associated with the camera stream
    // Release memory on WebAssembly heap used by the RecognizerRunner
    // Release memory on WebAssembly heap used by the recognizer

    // Hide scanning screen and show scan button again
// Run