VOCR – Solution for Native Android Developer

Introduction to VOCR - Solution for Native Android Developer

As a native Android developer, you're always looking for ways to simplify your workflow and optimize your app's performance. One of the most tedious and time-consuming tasks in app development is Optical Character Recognition (OCR) processing. VOCR (Very Optical Character Recognition) is a powerful solution that enables native Android developers to quickly and accurately extract text from images, PDFs, and other documents. In this tutorial, we'll show you how to use VOCR to streamline your OCR processing and take your app development to the next level.

Getting Started with VOCR

Before we dive into the tutorial, make sure you have the following:

• Android Studio installed on your machine
• A basic understanding of Java or Kotlin programming
• A sample image or PDF file to test with

Step 1: Add VOCR Library to Your Project

To use VOCR in your Android app, you'll need to add the VOCR library to your project. Follow these steps:

1. Open your Android project in Android Studio.
2. Go to the "Build" menu and select "Rebuild Project" to ensure that your project is up-to-date.
3. Open the "Gradle Scripts" folder and select the "build.gradle" file for your app.
4. Add the following line of code to the dependencies section:

   implementation 'com.vocr:vocr-android:1.0.0'

5. Click "Sync Now" to sync your project with the Gradle build.

Step 2: Initialize VOCR Engine

To use VOCR, you'll need to initialize the VOCR engine. You can do this by creating a new instance of the VOCR class and passing it a reference to your app's context:

VOCR vocr = new VOCR(this);

Step 3: Set OCR Parameters

Before processing the image or PDF, you'll need to set some OCR parameters to customize the recognition process. You can do this using the setLanguage, setPageOrientation, and setRecognizeText methods:

vocr.setLanguage(LANGUAGE.ENGLISH);
vocr.setPageOrientation(PageOrientation.PORTRAIT);
vocr.setRecognizeText(true);

Step 4: Process Image or PDF

Now that you've initialized the VOCR engine and set the OCR parameters, you can process the image or PDF. You can do this using the recognize method:

vocr.recognize(Bitmap bitmap);

Or, if you're processing a PDF:

vocr.recognize(PDFDocument pdf);

Step 5: Get Recognized Text

Once the recognition process is complete, you can retrieve the recognized text using the getRecognizedText method:

String recognizedText = vocr.getRecognizedText();

Step 6: Display Recognized Text

Finally, you can display the recognized text in your app using a TextView or other text display component:

TextView textView = findViewById(R.id.text_view);
textView.setText(recognizedText);

Complete Example Code

Here's a complete example code that demonstrates how to use VOCR to extract text from an image:

import android.graphics.Bitmap;
import android.os.Bundle;
import android.widget.TextView;

import androidx.appcompat.app.AppCompatActivity;

import com.vocr.VOCR;
import com.vocr.VOCRConfig;

public class MainActivity extends AppCompatActivity {

    private VOCR vocr;
    private TextView textView;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        vocr = new VOCR(this);
        vocr.setLanguage(VOCRConfig.Language.ENGLISH);
        vocr.setPageOrientation(VOCRConfig.PageOrientation.PORTRAIT);
        vocr.setRecognizeText(true);

        Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.image);
        vocr.recognize(bitmap);

        String recognizedText = vocr.getRecognizedText();
        textView = findViewById(R.id.text_view);
        textView.setText(recognizedText);
    }
}

That's it! With these simple steps, you can integrate VOCR into your native Android app and start extracting text from images and PDFs.