rn-text-detector v0.0.8

rn-text-detector

Getting started

$ npm install rn-text-detector --save or yarn add rn-text-detector

Manual installation

iOS

Using Pods (Recommended)

1. In <your_project>/ios create Podfile file pod init
2. Add following in ios/Podfile

    pod 'yoga', :path => '../node_modules/react-native/ReactCommon/yoga'
    pod 'React', :path => '../node_modules/react-native'
    pod 'RNTextDetector', path: '../node_modules/react-native-text-detector/ios'

3. Run following from project's root directory

    pod update && pod install

4. Use <your_project>.xcworkspace to run your app

Direct Linking

1. In XCode, in the project navigator, right click Libraries ➜ Add Files to [your project's name]
2. Go to node_modules ➜ rn-text-detector and add RNTextDetector.xcodeproj
3. In XCode, in the project navigator, select your project. Add libRNTextDetector.a to your project's Build Phases ➜ Link Binary With Libraries
4. Run your project (Cmd+R)<

Android

1. Open up android/app/src/main/java/[...]/MainApplication.java

• Add import com.fetchsky.RNTextDetector.RNTextDetectorPackage; to the imports at the top of the file
• Add new RNTextDetectorPackage() to the list returned by the getPackages() method

2. Append the following lines to android/settings.gradle:

   include ':rn-text-detector'
   project(':rn-text-detector').projectDir = new File(rootProject.projectDir, 	'../node_modules/rn-text-detector/android')

3. Insert the following lines inside the dependencies block in android/app/build.gradle:

   ...
   dependencies {
   
       implementation 'rn-text-detector'
   }

MLKIT

Follow MLkit documentation, https://developers.google.com/ml-kit/vision/text-recognition

Usage

/**
 *
 * This Example uses react-native-camera for getting image
 *
 */

import RNTextDetector from "rn-text-detector";

export class TextDetectionComponent extends PureComponent {
  ...

  detectText = async () => {
    try {
      const options = {
        quality: 0.8,
        base64: true,
        skipProcessing: true,
      };
      const { uri } = await this.camera.takePictureAsync(options);
      const visionResp = await RNTextDetector.detectFromUri(uri);
      console.log('visionResp', visionResp);
    } catch (e) {
      console.warn(e);
    }
  };

  ...
}