Pen Settings

HTML

CSS

CSS Base

Vendor Prefixing

Add External Stylesheets/Pens

Any URL's added here will be added as <link>s in order, and before the CSS in the editor. You can use the CSS from another Pen by using it's URL and the proper URL extention.

+ add another resource

JavaScript

Babel includes JSX processing.

Add External Scripts/Pens

Any URL's added here will be added as <script>s in order, and run before the JavaScript in the editor. You can use the URL of any other Pen and it will include the JavaScript from that Pen.

+ add another resource

Packages

Add Packages

Search for and use JavaScript packages from npm here. By selecting a package, an import statement will be added to the top of the JavaScript editor for this package.

Behavior

Save Automatically?

If active, Pens will autosave every 30 seconds after being saved once.

Auto-Updating Preview

If enabled, the preview panel updates automatically as you code. If disabled, use the "Run" button to update.

Format on Save

If enabled, your code will be formatted when you actively save your Pen. Note: your code becomes un-folded during formatting.

Editor Settings

Code Indentation

Want to change your Syntax Highlighting theme, Fonts and more?

Visit your global Editor Settings.

HTML

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

<div id="screen-start" class="hidden">
  <input id="image-file" type="file" accept="image/*" capture="environment"/>
  <label for="image-file">Scan from file</label>
</div>

<div id="screen-scanning" class="hidden">
  <h1>Processing...</h1>
  <img id="target-image" />
</div>
              
            
!

CSS

              
                *
{
    box-sizing: border-box;
}

html,
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-initial,
#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;
}

              
            
!

JS

              
                /**
 * BlinkID ImageCapture In-browser SDK demo app which demonstrates how to:
 *
 * - Change default SDK settings
 * - Scan front side of the identity document from image
 * - Provide visual feedback to the end-user during the scan
 * - Send an image to web API for processing
 */

// General UI helpers
const initialMessageEl = document.getElementById( "msg" );
const progressEl = document.getElementById( "load-progress" );
const scanImageElement = document.getElementById( "target-image");
const inputImageFile = document.getElementById( "image-file" );

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

    // 1. You can request a free trial license key, after you register, at Microblink Developer Hub
    const licenseKey = "sRwAAAYHY2Rwbi5pb5ZgjD1QloirGkmBCZDF2DH6e8yVqo+rwfx7J3ZTi1MZfocQtbh4OdoJTgDJRNiK6ym8fSyNN0yVOVtL88LlRNCAdYGL6LD2e8EvO0n1i6ZQCHJkkwsy77SHEVFH7G2g/sUMEx5i3dHRj50n+CbmuPXgCIz6+jeCjo2zIcns6vrQ63h9GNF8qH9jPjDCq9hE5bFlEz3TRHEDbpxBoCsGCji1Ktt/7ns=";

    // 2. Create instance of SDK load settings with your license key
    const loadSettings = new BlinkIDImageCaptureSDK.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 absolute location of the engine, i.e. WASM and support JS files
    loadSettings.engineLocation = "https://unpkg.com/@microblink/blinkid-imagecapture-in-browser-sdk@5.18.0/resources/";
  
    // Set absolute location of the worker file
    // IMPORTANT: function getWorkerLocation is a workaround for the CodePen since native Web Workers are not supported
    loadSettings.workerLocation = await getWorkerLocation('https://unpkg.com/@microblink/blinkid-in-browser-sdk@5.18.0/resources/BlinkIDWasmSDK.worker.min.js');

    // 3. Load SDK
    BlinkIDImageCaptureSDK.loadWasmModule( loadSettings ).then
    (
        ( sdk ) =>
        {
            document.getElementById( "screen-initial" )?.classList.add( "hidden" );
            document.getElementById( "screen-start" )?.classList.remove( "hidden" );
            document.getElementById( "image-file" )?.addEventListener( "change", ( ev ) =>
            {
                ev.preventDefault();
                startScan( sdk, ev.target.files );
            });
        },
        ( 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, fileList )
{
    processingOnWebApi = false;

    document.getElementById( "screen-start" )?.classList.add( "hidden" );
    document.getElementById( "screen-scanning" )?.classList.remove( "hidden" );

    // 1. Create a recognizer objects which will be used to recognize single image or stream of images.
    //
    // BlinkID ImageCapture Recognizer - recognize a document and extract an image
    const blinkIdImageCaptureRecognizer = await BlinkIDImageCaptureSDK.createBlinkIdImageCaptureRecognizer( sdk );

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

    // 3. Prepare image for scan action - keep in mind that SDK can only process images represented in
    //    internal CapturedFrame data structure. Therefore, auxiliary method "captureFrame" is provided.

    // Make sure that image file is provided
    let file = null;
    const imageRegex = RegExp( /^image\// );
    for ( let i = 0; i < fileList.length; ++i )
    {
        if ( imageRegex.exec( fileList[ i ].type ) )
        {
            file = fileList[ i ];
        }
    }
    if ( !file )
    {
        alert( "No image files provided!" );
        // Release memory on WebAssembly heap used by the RecognizerRunner
        recognizerRunner?.delete();

        // Release memory on WebAssembly heap used by the recognizer
        blinkIdImageCaptureRecognizer?.delete();
        inputImageFile.value = "";
        return;
    }

    scanImageElement.src = URL.createObjectURL( file );
    await scanImageElement.decode();
    const imageFrame = BlinkIDImageCaptureSDK.captureFrame( scanImageElement );

    // 4. Start the recognition and await for the results
    const processResult = await recognizerRunner.processImage( imageFrame );

    // 5. If recognition was successful, obtain the result and display it
    if ( processResult !== BlinkIDImageCaptureSDK.RecognizerResultState.Empty )
    {
        const blinkIdImageCaptureResults = await blinkIdImageCaptureRecognizer.getResult();
        if ( blinkIdImageCaptureResults.state !== BlinkIDImageCaptureSDK.RecognizerResultState.Empty )
        {
            console.log( "BlinkIDImageCapture results", blinkIdImageCaptureResults );

            if ( !blinkIdImageCaptureResults.frontSideCameraFrame )
            {
                alert( "Could not extract front image of a document. Please try again." );
            }
            else
            {
                processingOnWebApi = true;
                console.log( "Sending request to web API..." );
                getWebApiResults( blinkIdImageCaptureResults.frontSideCameraFrame );
            }
        }
    }
    else
    {
        alert( "Could not extract information!" );
    }

    // 7. Release all resources allocated on the WebAssembly heap and associated with camera stream

    // Release memory on WebAssembly heap used by the RecognizerRunner
    recognizerRunner?.delete();

    // Release memory on WebAssembly heap used by the recognizer
    blinkIdImageCaptureRecognizer?.delete();

    // Hide scanning screen and show scan button again
    inputImageFile.value = "";

    if ( !processingOnWebApi )
    {
        document.getElementById( "screen-start" )?.classList.remove( "hidden" );
        document.getElementById( "screen-scanning" )?.classList.add( "hidden" );
    }
}

/**
 * Prepare and send image frames to web API for recognition processing.
 *
 * This function is using client library which is provided with the SDK.
 */
function getWebApiResults( frontSide )
{
    // Create instance of client library - for more information see `client-library/README.md` file
    const client = new Client.Client( Client.ApiType.SelfHosted, { apiLocation: "https://demoapi.microblink.com" } );

    // Send image to web API for processing
    const payload =
    {
        // Image from WASM library should be converted to Base64 from ImageData format.
        "imageSource": client.imageDataToBase64( frontSide )
    };

    client.recognize( "/v1/recognizers/blinkid", payload )
        .then( ( results ) =>
        {
            const recognitionResults = results.response.data.result;
            console.log( "API recognition results", recognitionResults );

            if ( recognitionResults.recognitionStatus === "EMPTY" )
            {
                console.warn( "API processing returned empty results." );
                alert( "API processing returned empty results." );
                return;
            }

            alert
            (
                `Hello, ${ recognitionResults.firstName } ${ recognitionResults.lastName }!\n` +
                `You were born on ${ recognitionResults.dateOfBirth.year }-${ recognitionResults.dateOfBirth.month }-${ recognitionResults.dateOfBirth.day }.`
            );
        } )
        .catch( ( error ) =>
        {
            console.error( "API recognition error", error );
            alert( "Could not process image on backend." );
        } )
        .finally( () =>
        {
            processingOnWebApi = false;
            document.getElementById( "screen-start" )?.classList.remove( "hidden" );
            document.getElementById( "screen-scanning" )?.classList.add( "hidden" );
        } );
}

function getWorkerLocation(path) {  
  return new Promise((resolve) => {
    window.fetch(path)
      .then(response => response.text())
      .then(data => {
        const blob = new Blob( [ data ], { type: "application/javascript" } );
        const url = URL.createObjectURL( blob );
        resolve(url);
      });
  });
}

// Run
main();

              
            
!
999px

Console