The frame processor plugin for text recognition using Google ML Kit library for react-native-vision-camera with high performance.
react-native-vision-camera = 3.9.2
react-native-worklets-core = 0.5.0
npm install react-native-vision-camera-v3-text-recognition
yarn add react-native-vision-camera-v3-text-recognition
Easy To Use.
Works Just Writing few lines of Code.
Works With React Native Vision Camera.
Works for Both Cameras.
Works Fast.
Works With Android 🤖 and IOS.📱
Writen With Kotlin and Objective-C.
import React, { useState } from 'react'
import { useCameraDevice } from 'react-native-vision-camera'
import { Camera } from 'react-native-vision-camera-v3-text-recognition';
function App (){
const [data,setData] = useState(null)
const device = useCameraDevice('back');
console.log(data)
return(
<>
{!!device && (
<Camera
style={StyleSheet.absoluteFill}
device={device}
isActive
// optional
options={{
language:'latin'
}}
callback={(d) => setData(d)}
/>
)}
</>
)
}
import React from 'react';
import { StyleSheet } from "react-native";
import {
Camera,
useCameraDevice,
useFrameProcessor,
} from "react-native-vision-camera";
import { useTextRecognition } from "react-native-vision-camera-v3-text-recognition";
function App() {
const device = useCameraDevice('back');
const options = { language : 'latin' }
const {scanText} = useTextRecognition(options)
const frameProcessor = useFrameProcessor((frame) => {
'worklet'
const data = scanText(frame)
console.log(data, 'data')
}, [])
return (
<>
{!!device && (
<Camera
style={StyleSheet.absoluteFill}
device={device}
isActive
frameProcessor={frameProcessor}
/>
)}
</>
);
}
export default App;
Name | Type | Values | Default |
---|---|---|---|
language | string | latin, chinese, devanagari, japanese, korean | latin |