Language Translator & OCR Scanner ( Image to Text ) – iOS App Source Code

Introduction

The Language Translator & OCR Scanner (Image to Text) is a powerful iOS app that allows users to translate text from one language to another and scan images to extract text. This app is a valuable tool for individuals who need to communicate across language barriers, students who want to learn new languages, and professionals who need to work with documents in different languages.

In this tutorial, we will guide you through the process of building the Language Translator & OCR Scanner (Image to Text) app using iOS app source code. We will cover the following topics:

1. Setting up the project
2. Implementing the language translation feature
3. Implementing the OCR scanner feature
4. Testing and debugging the app

Setting up the project

To start building the Language Translator & OCR Scanner (Image to Text) app, you will need to create a new iOS project in Xcode. Follow these steps:

1. Open Xcode and create a new project by selecting "Single View App" under the "iOS" section.
2. Choose a project name, team, and bundle identifier, and then click "Next".
3. Choose the language and device family, and then click "Create".

Implementing the language translation feature

To implement the language translation feature, you will need to use the Google Translate API. Follow these steps:

1. Create a new file called "Translate.swift" and add the following code:

   
   import Foundation

class Translate { let apikey = "YOUR_API_KEY" let language = "en"

func translateText(text: String, completion: @escaping (String) -> Void) {
    let url = URL(string: "https://translation.googleapis.com/language/translate/v2?key=(apikey)&q=(text)&target=(language)")!
    var request = URLRequest(url: url, cachePolicy:.useProtocolCachePolicy)
    request.httpMethod = "GET"
    request.httpBody = nil

    let task = URLSession.shared.dataTask(with: request) { data, response, error in
        if let error = error {
            print("Error: (error.localizedDescription)")
            completion("")
            return
        }

        guard let data = data else {
            print("No data received")
            completion("")
            return
        }

        do {
            let json = try JSONSerialization.jsonObject(with: data, options: [])
            guard let jsonObject = json as? [String: Any] else {
                print("Invalid JSON")
                completion("")
                return
            }

            guard let translatedText = jsonObject["data"] as? [String: Any],
                  let translatedTextString = translatedText["translations"] as? [[String: Any]],
                  let translatedTextStringString = translatedTextString.first?["translatedText"] as? String else {
                print("Invalid translation data")
                completion("")
                return
            }

            completion(translatedTextStringString)
        } catch {
            print("Error parsing JSON: (error.localizedDescription)")
            completion("")
        }
    }

    task.resume()
}

}

2. Create a new file called "ViewController.swift" and add the following code:
```swift
import UIKit

class ViewController: UIViewController {
    @IBOutlet weak var textField: UITextField!
    @IBOutlet weak var translatedTextLabel: UILabel!

    let translate = Translate()

    override func viewDidLoad() {
        super.viewDidLoad()
        // Do any additional setup after loading the view.
    }

    @IBAction func translateButtonTapped(_ sender: UIButton) {
        guard let text = textField.text else {
            print("No text to translate")
            return
        }

        translate.translateText(text: text) { translatedText in
            self.translatedTextLabel.text = translatedText
        }
    }
}

1. Create a new file called "Main.storyboard" and add a text field, a button, and a label to the view controller. Connect the text field to the textField outlet, the button to the translateButtonTapped action, and the label to the translatedTextLabel outlet.

Implementing the OCR scanner feature

To implement the OCR scanner feature, you will need to use the Tesseract OCR library. Follow these steps:

1. Create a new file called "OCR.swift" and add the following code:

   
   import Foundation
   import TesseractOCR

class OCR { let tesseract = Tesseract()

func scanImage(image: UIImage, completion: @escaping (String) -> Void) {
    let path = getDocumentsDirectory().appendingPathComponent("image.png")
    let data = image.pngData()!
    try? data.write(to: path)

    tesseract.language = "eng"
    tesseract.image = UIImage(contentsOfFile: path.path)!

    tesseract.recognize() { result in
        if let text = result.text {
            completion(text)
        } else {
            completion("")
        }
    }
}

func getDocumentsDirectory() -> URL {
    let documentsDirectory = FileManager.default.urls(for:.documentDirectory, in:.userDomainMask).first!
    return documentsDirectory
}

}

2. Create a new file called "ViewController.swift" and add the following code:
```swift
import UIKit

class ViewController: UIViewController {
    @IBOutlet weak var imageView: UIImageView!
    @IBOutlet weak var scannedTextLabel: UILabel!

    let ocr = OCR()

    override func viewDidLoad() {
        super.viewDidLoad()
        // Do any additional setup after loading the view.
    }

    @IBAction func scanButtonTapped(_ sender: UIButton) {
        guard let image = imageView.image else {
            print("No image to scan")
            return
        }

        ocr.scanImage(image: image) { scannedText in
            self.scannedTextLabel.text = scannedText
        }
    }
}

1. Create a new file called "Main.storyboard" and add an image view and a label to the view controller. Connect the image view to the imageView outlet and the label to the scannedTextLabel outlet.

Testing and debugging the app

To test and debug the app, you can use the simulator or a physical device. Follow these steps:

1. Run the app on the simulator or a physical device.
2. Enter some text in the text field and tap the translate button to test the language translation feature.
3. Take a photo or select an image from the camera roll and tap the scan button to test the OCR scanner feature.
4. Check the translated text and scanned text labels to ensure that the app is working correctly.

Conclusion

In this tutorial, we have covered the basics of building the Language Translator & OCR Scanner (Image to Text) app using iOS app source code. We have implemented the language translation feature using the Google Translate API and the OCR scanner feature using the Tesseract OCR library. With this app, users can translate text from one language to another and scan images to extract text.