An option available now is MLKit from Firebase.
Add Firebase to your project after setting up your project in their console https://firebase.google.com
I use cocoapods to manage dependencies, if you do then add this to your Podfile and pod update
:
pod 'Firebase/Core'
pod 'Firebase/MLVision'
pod 'Firebase/MLVisionBarcodeModel'
Here's a demo view controller implementation in which you pick a barcode image from your photo library to be scanned by ML kit, and the results are printed in a label.
// (Don't forget to ask for Photos access by including this in your info.plist)
<key>NSPhotoLibraryUsageDescription</key>
<string>Enable photo library access to select a photo from your library.</string>
import Firebase
class MyDemoViewController: UIViewController, UINavigationControllerDelegate, UIImagePickerControllerDelegate {
lazy var vision = Vision.vision()
@IBOutlet var textLabel: UILabel!
override func viewDidLoad() {
super.viewDidLoad()
}
@IBAction func selectImage(_ sender: Any) {
if UIImagePickerController.isSourceTypeAvailable(.savedPhotosAlbum){
print("Button capture")
let imagePicker = UIImagePickerController()
imagePicker.delegate = self
imagePicker.sourceType = .savedPhotosAlbum;
imagePicker.allowsEditing = false
self.present(imagePicker, animated: true, completion: nil)
}
}
func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [String : Any]) {
guard let image = info[UIImagePickerControllerOriginalImage] as? UIImage else {
return
}
dismiss(animated: true, completion: {
self.checkForCodeInImage(image: image)
})
}
func imagePickerControllerDidCancel(_ picker: UIImagePickerController) {
dismiss(animated: true, completion:nil)
}
internal func checkForCodeInImage(image: UIImage) {
let detector = vision.barcodeDetector(options: VisionBarcodeDetectorOptions(formats: .all))
let vImage = VisionImage(image: image)
detector.detect(in: vImage) { features, error in
guard error == nil, let barcodes = features, barcodes.isEmpty == false else {
DispatchQueue.main.async {
self.textLabel.text = "No code found in selected image."
}
return
}
var text = ""
for barcode in barcodes {
guard let rawValue = barcode.rawValue else {
continue
}
let corners = barcode.cornerPoints
let displayValue = barcode.displayValue
print("Corners: \(String(describing: corners))")
print("Found: \(String(describing: displayValue))")
text.append(rawValue)
text.append("\n\n")
// let valueType = barcode.valueType
// switch valueType {
// case .wiFi:
// let ssid = barcode.wifi!.ssid
// let password = barcode.wifi!.password
// let encryptionType = barcode.wifi!.type
// case .URL:
// let title = barcode.url!.title
// let url = barcode.url!.url
// default:
// // See API reference for all supported value types
// break
// }
}
DispatchQueue.main.async {
self.textLabel.text = text
}
}
}
}
Here's a link to their documentation: https://firebase.google.com/docs/ml-kit/ios/read-barcodes