Get Started With ID Capture#

Quick overview#

ID Capture provides the capability to scan personal identification documents, such as identity cards, passports or visas. In this guide you will learn step by step how to add ID Capture to your application. Roughly, the steps are:


Using ID Capture at the same time as other modes (e.g. Barcode Capture or Text Capture) is currently not supported.


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

Internal dependencies#

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




No dependencies


  • ScanditCaptureCore


No dependencies


No dependencies


  • ScanditCaptureCore

  • ScanditOCR


  • ScanditCaptureCore

  • ScanditOCR (MRZ or VIZ documents)

  • ScanditTextCapture (MRZ documents)

Please note that your license may support only a subset of ID Capture features. If you would like to use additional features please contact us at

Create the Data Capture Context#

The first step to add capture capabilities to your application is to create a new data capture context. The context expects a valid Scandit Data Capture SDK license key during construction.

self.context = DataCaptureContext(licenseKey: "-- ENTER YOUR SCANDIT LICENSE KEY HERE --")

Add the Camera#

You need to also create the SDCCamera:

camera = Camera.default
context.setFrameSource(camera, completionHandler: nil)

let recommenededCameraSettings = IdCapture.recommendedCameraSettings

Create ID Capture Settings#

Use SDCIdCaptureSettings to configure the types of documents that you’d like to scan. Check SDCIdDocumentType for all the available options.

idCaptureSettings.supportedDocuments = [.idCardViz, .aamvaBarcode, .dlViz]

Implement the Listener#

To receive scan results, implement SDCIdCaptureListener. A result is delivered as SDCCapturedId. This class contains data common for all kinds of personal identification documents. For more specific information use its non-nil result properties (for example SDCCapturedId.aamvaBarcodeResult).

extension IdCaptureViewController: IdCaptureListener {
  func idCapture(_ idCapture: IdCapture, didCaptureIn session: IdCaptureSession, frameData: FrameData) {
    let capturedId = session.newlyCapturedId

    // The recognized fields of the captured Id can vary based on the type.
    if capturedId.mrzResult != nil {
        // Handle the information extracted.
    } else if capturedId.vizResult != nil {
        // Handle the information extracted.
    } else if capturedId.aamvaBarcodeResult != nil {
        // Handle the information extracted.
    } else if capturedId.usUniformedServicesBarcodeResult != nil {
        // Handle the information extracted.

  func idCapture(_ idCapture: IdCapture,
                didFailWithError error: Error,
                session: IdCaptureSession,
                frameData: FrameData) {
    // Handle the error.

Create a new ID Capture mode with the chosen settings. Then register the listener:

idCapture = IdCapture(context: context, settings: idCaptureSettings)

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 SDCDataCaptureView to your view hierarchy:

let captureView = DataCaptureView(for: context, frame: view.bounds)
captureView.dataCaptureContext = context
captureView.autoresizingMask = [.flexibleWidth, .flexibleHeight]

Then create an instance of SDCIdCaptureOverlay attached to the view:

let overlay = IdCaptureOverlay(idCapture: idCapture, view: captureView)

The overlay chooses the displayed UI automatically, based on the selected SDCIdCaptureSettings. If you prefer to show a different UI or to temporarily hide it, use SDCIdCaptureOverlay.setIdLayout:.

Turn on the Camera#

Finally, turn on the camera to start scanning:

camera?.switch(toDesiredState: .on)

And this is it. You can now scan documents.

Capture both the front and the back side of documents#

By default, when SDCIdDocumentTypeDLVIZ or SDCIdDocumentTypeIdCardVIZ are selected, Id Capture scans only the front side of documents. Sometimes however, you may be interested in extracting combined information from both the front and the back side.


Capturing combined information from both sides of documents is possible only for their parts intended to be read by humans (for example Visual Inspection Zone (VIZ) of a Machine-Readable Travel Document (MRTD)). It is currently not possible to obtain a single result that would additionally contain the information parsed from Machine-Readable Zones (MRZ) or barcodes, such as PDF417.

First, enable scanning of both sides of documents in SDCIdCaptureSettings:

settings.supportedDocuments = [.idCardVIZ, .dlVIZ]
settings.supportedSides = .frontAndBack

Start by scanning the front side of a document. After you receive the result in SDCIdCaptureListener, inspect SDCVizResult.isBackSideCaptureSupported. If scanning of the back side of your document is supported, flip the document and capture the back side as well. The next result that you receive is a combined result that contains the information from both sides. You may verify this by checking SDCVizResult.capturedSides. After both sides of the document are scanned, you may proceed with another document.

Sometimes, you may not be interested in scanning the back side of a document, after you completed the front scan. For example, your user may decide to cancel the process. Internally, Id Capture maintains the state of the scan, that helps it to provide better combined results. To abandon capturing the back of a document, reset this state by calling:


Otherwise, Id Capture may assume that the front side of a new document is actually the back side of an old one, and provide you with nonsensical results.

Supported documents#

You can find the list of supported documents here.

What’s next?

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