vision-camera-ocr

A VisionCamera Frame Processor Plugin to preform text detection on images using MLKit Vision Text Recognition.

Installation

``sh
yarn add vision-camera-ocr
cd ios && pod install
`

Add the plugin to your babel.config.js:

`js
module.exports = {
plugins: [
[
'react-native-reanimated/plugin',
{
globals: ['__scanOCR'],
},
],

// ...
`

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

Usage

`js
import { labelImage } from "vision-camera-image-labeler";

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

Data

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

` jsx
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