At InflightIT, we studied about OCR (Optical Character Recognition) to implement in upcoming projects and additional features to our ongoing projects. For example, reading invoices from restaurants/shops.
In this OCR sample we can select or take a photo from our device. For that we’ll use:
react-native-image-picker (picking images)
rn-text-detector (text recognization from photo)
1. React-Native
First we need to create a react-native project and choose between a javascript or typescript based-project. Personally i’m opting for typescript every time I can, regardless if the project is a large or a small one. Typescript does give more comfort when debugging and helps to have a good structure.
npx react-native init ocrSampleApp --template react-native-template-typescript
2. Install dependencies
npm i react-native-image-picker --save && npm i rn-text-detector --save
npx pod-install
3. Additional configurations
iOS
For iOS we need to add this code to Info.plist. It is required by Apple and we need to say why we need camera access.
<key>NSCameraUsageDescription</key>
<string>App needs permission to access your phone camera.</string><key>NSPhotoLibraryAddUsageDescription</key>
<string>App store photos in your phone library.</string>
<key>NSPhotoLibraryUsageDescription</key>
<string>App store photos in your phone library.</string>
Android
For Android we also need to add permissions in AndroidManifest.xml
<uses-permission android:name="android.permission.CAMERA" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" /><uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.RECORD_AUDIO"/>
4. Basic usage
Import main packages to work with.
import { launchCamera, launchImageLibrary } from "react-native-image-picker";
import RNTextDetector from "rn-text-detector";
Create a state to our app.
const [state, setState] = useState<{
loading: boolean;
image: string | null;
toast: {
message: string;
isVisible: boolean;
};
textRecognition: [] | null;
}>({
loading: false,
image: null,
textRecognition: null,
toast: {
message: "",
isVisible: false,
},
});
Add the following functions in order to perform a simple string.
function onPress(type: "capture" | "library") {
setState({ ...state, loading: true });
type === "capture"
? launchCamera({ mediaType: "image" }, onImageSelect)
: launchImageLibrary({ mediaType: "image" }, onImageSelect);
}async function onImageSelect(media: { assets: [{ uri: string }] }) {
if (!media) {
setState({ ...state, loading: false });
return;
}
if (!!media && media.assets) {
const file = media.assets[0].uri;
const textRecognition = await RNTextDetector.detectFromUri(file);
const INFLIGHT_IT = "Inflight IT";
//if match toast will appear
const matchText = textRecognition.findIndex((item: { text: string
}) => item.text.match(INFLIGHT_IT));
setState({
...state,
textRecognition,
image: file,
toast: {
message: matchText > -1 ? "Ohhh i love this company!!" : "",
isVisible: matchText > -1,
},
loading: false,
});
}}
Make your view to display text and image.
return (
<SafeAreaView style={styles.container}>
<View style={styles.content}>
<Text style={styles.title}>RN OCR SAMPLE</Text>
<View style={getSpace(20)}>
<TouchableOpacity style={[styles.button, styles.shadow]}
onPress={() => onPress("capture")}>
<Text>Take Photo</Text>
</TouchableOpacity>
<View style={getSpace(20)}>
<TouchableOpacity
style={[styles.button, styles.shadow]}
onPress={() => onPress("library")}
>
<Text>Pick a Photo</Text>
</TouchableOpacity>
</View>
<View style={getSpace(50)}>
<WrapLoading loading={state.loading}>
<View style={{ alignItems: "center" }}>
<Image style={[styles.image, styles.shadow]}
source={{ uri: state.image }} />
</View>
{!!state.textRecognition &&
state.textRecognition.map(
(item: { text: string }, i: number) => (
<Text key={i} style={getSpace(10)}>
{item.text}
</Text>
))}
</WrapLoading>
</View>
</View>
{state.toast.isVisible &&
ToastAndroid.showWithGravityAndOffset(
state.toast.message,
ToastAndroid.LONG,
ToastAndroid.BOTTOM,
25,
50
)}
</View>
</SafeAreaView>
);
Then just try it! 🚀
5. Conclusion
With a few steps you can achieve text-recognition with only 2 libraries without using Firebase at all. Hope you enjoy it!
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