@chuvincent/vision-camera-ocr-chinese

vision-camera-ocr-chinese

Updated to use TextRecognition that supports Chinese.

Installation

npm install @chuvincent/vision-camera-ocr-chinese
cd ios && pod install

Add the plugin to your babel.config.js:

module.exports = {
   plugins: [['react-native-worklets-core/plugin']],
    // ...

Note: You have to restart metro-bundler for changes in the babel.config.js file to take effect.

Usage

import {scanOCR} from '@chuvincent/vision-camera-ocr-chinese';

// ...
const frameProcessor = useFrameProcessor((frame) => {
  'worklet';
  const scannedOcr = scanOCR(frame);
}, []);

Publish to NPM

npm run prepare npm run release

Data

scanOCR(frame) returns an OCRFrame with the following data shape. See the example for how to use this in your app.

 OCRFrame = {
   result: {
     text: string, // Raw result text
     blocks: Block[], // Each recognized element broken into blocks
   ;
};

The text object closely resembles the object documented in the MLKit documents. https://developers.google.com/ml-kit/vision/text-recognition#text_structure

The Text Recognizer segments text into blocks, lines, and elements. Roughly speaking:

a Block is a contiguous set of text lines, such as a paragraph or column,

a Line is a contiguous set of words on the same axis, and

an Element is a contiguous set of alphanumeric characters ("word") on the same axis in most Latin languages, or a character in others

Contributing

See the contributing guide to learn how to contribute to the repository and the development workflow.

License

MIT