Get Started With Barcode Capture

In this guide you will learn step by step how to add barcode capture to your application. Roughly, the steps are:

  • Include the ScanditBarcodeCapture library and its dependencies to your project, if any.

  • Configure and initialize the library.

  • Create a new data capture context instance, initialized with your license key.

  • Create a barcode capture settings and enable the barcode symbologies you want to read in your application.

  • Create a new barcode capture mode instance and initialize it with the settings created above.

  • Register a barcode capture listener to receive scan events. Process the successful scans according to your application’s needs, e.g. by looking up information in a database. After a successful scan, decide whether more codes will be scanned, or the scanning process should be stopped.

  • Obtain a camera instance and set it as the frame source on the data capture context.

  • Display the camera preview by creating a data capture view.

  • If displaying a preview, optionally create a new overlay and add it to data capture view for a better visual feedback.


Before starting with adding a capture mode, make sure that you have a valid Scandit Data Capture SDK license key and that you added the necessary dependencies. If you have not done that yet, check out this guide.


You can retrieve your Scandit Data Capture SDK license key, by signing in to your account at

Configure and Initialize the Library

The library needs to be configured and initialized before it can be used, this is done via the configure function.

The configuration expects a valid Scandit Data Capture SDK license key as part of the options.

The ConfigureOptions.libraryLocation configuration option must be provided and point to the location of the Scandit Data Capture library/engine location (external WebAssembly files): scandit-datacapture-sdk*.min.js and scandit-datacapture-sdk*.wasm. WebAssembly requires these separate files which are loaded by our main library at runtime. They can be found inside the engine folder in the library you either added and installed via npm or access via a CDN; if you added and installed the library, these files should be put in a path that’s accessible to be downloaded by the running library script. The configuration option that you provide should then point to the folder containing these files, either as a path of your website or an absolute URL (like the CDN one). By default the library will look at the root of your website. If you use a CDN to access the library, you will want to set this to the following values depending on the data capture mode you are using:

Please ensure that the library version of the imported library corresponds to the version of the external Scandit Data Capture library/engine files retrieved via the libraryLocation option, either by ensuring the served files are up-to-date or the path/URL specifies a specific version. In case a common CDN is used here (jsDelivr or UNPKG) the library will automatically internally set up the correct URLs pointing directly at the files needed for the matching library version. It is highly recommended to handle the serving of these files yourself on your website/server, ensuring optimal compression, correct wasm files MIME type, no request redirections and correct caching headers usage; thus resulting in faster loading.

We recommended to call configure as soon as possible in your application so that the files are already downloaded and initialized when the capture process is started.

import * as SDCCore from "scandit-web-datacapture-core";
import { barcodeCaptureLoader } from "scandit-web-datacapture-barcode";

await SDCCore.configure({
  licenseKey: "SCANDIT_LICENSE_KEY",
  libraryLocation: new URL("library/engine/", document.baseURI).toString(),
  moduleLoaders: [barcodeCaptureLoader()]


You must await the returned promise as shown to be able to continue.

Show loading status with default UI

To show some feedback to the user about the loading status you have two options: use the default UI provided with the SDK or subscribe to the loading status and update your own custom UI. Let’s see how we you can show the default UI first:

const view = new SDCCore.DataCaptureView();

view.setProgressBarMessage("Loading ...");

await SDCCore.configure({
  libraryLocation: new URL("library/engine/", document.baseURI).toString(),
  moduleLoaders: [barcodeCaptureLoader()],


const context = await SDCCore.DataCaptureContext.create();
await view.setContext(context);

Server side rendering and Server side generation

If you use a web framework that renders also on the server (SSR or SSG) it’s recommended to execute the library only on the client turning off the rendering on the server.

For more information:

Show loading status with custom UI

You can also just subscribe for the loading status of the library by simply attaching a listener like this:

SDCCore.loadingStatus.subscribe((info) => {
 // updateUI(info.percentage, info.loadedBytes)

await SDCCore.configure({
  licenseKey: "SCANDIT_LICENSE_KEY",
  libraryLocation: "/engine",
  moduleLoaders: [barcodeCaptureLoader()]


We suggest to serve the library files with the proper headers Content-Length and Content-Encoding if any compression is present. In case of totally missing information we will show an estimated progress

Internal dependencies

Some of the Scandit Data Capture SDK modules depend on others to work:




No dependencies


  • ScanditCaptureCore

Create the Data Capture Context

The first step to add capture capabilities to your application is to create a new data capture context.

// the license key used in configure() will be used
const context = await SDCCore.DataCaptureContext.create();

Configure the Barcode Scanning Behavior

Barcode scanning is orchestrated by the BarcodeCapture data capture mode. This class is the main entry point for scanning barcodes. It is configured through BarcodeCaptureSettings and allows to register one or more listeners that will get informed whenever new codes have been recognized.

For this tutorial, we will setup barcode scanning for a small list of different barcode types, called symbologies. The list of symbologies to enable is highly application specific. We recommend that you only enable the list of symbologies your application requires.

const settings = new SDCBarcode.BarcodeCaptureSettings();

If you are not disabling barcode capture immediately after having scanned the first code, consider setting the BarcodeCaptureSettings.codeDuplicateFilter to around 500 or even -1 if you do not want codes to be scanned more than once.

Next, create a BarcodeCapture instance with the settings initialized in the previous step:

const barcodeCapture = await SDCBarcode.BarcodeCapture.forContext(context, settings);

Register the Barcode Capture Listener

To get informed whenever a new code has been recognized, add a BarcodeCaptureListener through BarcodeCapture.addListener() and implement the listener methods to suit your application’s needs.

First implement the BarcodeCaptureListener interface. For example:

const listener = {
  didScan: (barcodeCapture, session) => {
    const recognizedBarcodes = session.newlyRecognizedBarcodes;
    // Do something with the barcodes

Then add the listener:


Use the Built-in Camera

The data capture context supports using different frame sources to perform recognition on. Most applications will use the built-in camera of the device, e.g. the world-facing camera of a device. The remainder of this tutorial will assume that you use the built-in camera.

When using the built-in camera there are recommended settings for each capture mode. These should be used to achieve the best performance and user experience for the respective mode. The following couple of lines show how to get the recommended settings and create the camera from it:

const cameraSettings = SDCBarcode.BarcodeCapture.recommendedCameraSettings;

// Depending on the use case further camera settings adjustments can be made here.

const camera = SDCCore.Camera.default;

if (camera) {
  await camera.applySettings(cameraSettings);

Because the frame source is configurable, the data capture context must be told which frame source to use. This is done with a call to DataCaptureContext.setFrameSource():

await context.setFrameSource(camera);

The camera is off by default and must be turned on. This is done by calling FrameSource.switchToDesiredState() with a value of FrameSourceState.On:

await camera.switchToDesiredState(Scandit.FrameSourceState.On);

There is a separate guide for more advanced camera functionality.

Use a Capture View to Visualize the Scan Process

When using the built-in camera as frame source, you will typically want to display the camera preview on the screen together with UI elements that guide the user through the capturing process. To do that, add a DataCaptureView to your view hierarchy:

const view = await SDCCore.DataCaptureView.forContext(context);

To visualize the results of barcode scanning, the following overlay can be added:

const overlay = await SDCBarcode.BarcodeCaptureOverlay.withBarcodeCaptureForView(barcodeCapture, view);

Disabling Barcode Capture

To disable barcode capture, for instance as a consequence of a barcode being recognized, call BarcodeCapture.setEnabled() passing false.

The effect is immediate: no more frames will be processed after the change. However, if a frame is currently being processed, this frame will be completely processed and deliver any results/callbacks to the registered listeners. Note that disabling the capture mode does not stop the camera, the camera continues to stream frames until it is turned off.

What’s next?

To dive further into the Scandit Data Capture SDK we recommend the following articles: