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rn-document-scanner-ronish

v2.1.1

Published

Scan documents, automatic border detection, automatic crop

Downloads

1

Readme

rn-document-scanner-lmdi-ronish

CircleCI Status Supports Android and iOS MIT License

Live document detection library. Returns either a URI of the captured image, allowing you to easily store it or use it as you wish!

  • Live detection
  • Perspective correction and crop of the image
  • Flash

Getting started

Version >=2.0.0 is thinking to work with React Native >= 0.60

Install the library using either yarn:

yarn add woonivers/rn-document-scanner-lmdi-ronish`

or npm:

npm install woonivers/rn-document-scanner-lmdi-ronish --save

Remember, this library uses your device's camera, it cannot run on a simulator and you must request camera permission by your own.

iOS Only

CocoaPods on iOS needs this extra step:

cd ios && pod install && cd ..

Android Only

If you do not have it already in your project, you must link openCV in your settings.gradle file

In android/app/src/main/AndroidManifest.xml

Change manifest header to avoid "Manifest merger error". After you add xmlns:tools="http://schemas.android.com/tools" should look like this:

<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="com.<yourAppName>" xmlns:tools="http://schemas.android.com/tools">

Add tools:replace="android:allowBackup" in <application tag. It should look like this:

<application tools:replace="android:allowBackup" android:name=".MainApplication" android:label="@string/app_name" android:icon="@mipmap/ic_launcher" android:allowBackup="false" android:theme="@style/AppTheme">

Add Camera permissions request:

<uses-permission android:name="android.permission.CAMERA" />

Usage

import React, { Component, useRef } from "react"
import { View, Image } from "react-native"

import DocumentScanner from "rn-document-scanner-lmdi-ronish"

function YourComponent(props) {
  return (
    <View>
      <DocumentScanner
        style={styles.scanner}
        onPictureTaken={handleOnPictureTaken}
        overlayColor="rgba(255,130,0, 0.7)"
        enableTorch={false}
        quality={0.5}
        detectionCountBeforeCapture={5}
        detectionRefreshRateInMS={50}
      />
    </View>
  )
}

Properties

| Prop | Platform | Default | Type | Description | | :-------------------------- | :------: | :-----: | :-------: | :------------------------------------------------------------------ | | overlayColor | Both | none | string | Color of the detected rectangle : rgba recommended | | detectionCountBeforeCapture | Both | 5 | integer | Number of correct rectangle to detect before capture | | detectionRefreshRateInMS | iOS | 50 | integer | Time between two rectangle detection attempt | | enableTorch | Both | false | bool | Allows to active or deactivate flash during document detection | | useFrontCam | iOS | false | bool | Allows you to switch between front and back camera | | brightness | iOS | 0 | float | Increase or decrease camera brightness. Normal as default. | | saturation | iOS | 1 | float | Increase or decrease camera saturation. Set 0 for black & white | | contrast | iOS | 1 | float | Increase or decrease camera contrast. Normal as default | | quality | iOS | 0.8 | float | Image compression. Reduces both image size and quality | | useBase64 | iOS | false | bool | If base64 representation should be passed instead of image uri's | | saveInAppDocument | iOS | false | bool | If should save in app document in case of not using base 64 | | captureMultiple | iOS | false | bool | Keeps the scanner on after a successful capture | | saveOnDevice | Android | false | bool | Save the image in the device storage (Need storage permissions) |

Manual capture

  • First create a mutable ref object:
const documentScannerElement = useRef(null)
  • Pass a ref object to your component:
<DocumentScanner ref={documentScannerElement} />
  • Then call:
documentScannerElement.current.capture()

Each rectangle detection (iOS only) -Non tested-

| Props | Params | Type | Description | | ----------------- | -------------------------------------- | -------- | ----------- | | onRectangleDetect | { stableCounter, lastDetectionType } | object | See below |

The returned object includes the following keys :

  • stableCounter

Number of correctly formated rectangle found (this number triggers capture once it goes above detectionCountBeforeCapture)

  • lastDetectionType

Enum (0, 1 or 2) corresponding to the type of rectangle found

  1. Correctly formated rectangle
  2. Wrong perspective, bad angle
  3. Too far

Returned image

| Prop | Params | Type | Description | | :------------- | :----: | :------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | onPictureTaken | data | object | Returns the captured image in an object { croppedImage: ('URI or BASE64 string'), initialImage: 'URI or BASE64 string', rectangleCoordinates[only iOS]: 'object of coordinates' } |

Save in app document -Non tested-

If you want to use saveInAppDocument options, then don't forget to add those raws in .plist :

<key>LSSupportsOpeningDocumentsInPlace</key>
<true/>

Contributors

Set up dev environment

Medium article