Skip to content

edcrampin/anyline-ocr-react-native-module

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

 _____         _ _         
|  _  |___ _ _| |_|___ ___ 
|     |   | | | | |   | -_|
|__|__|_|_|_  |_|_|_|_|___|
          |___|            

Anyline React-Native Plugin

Anyline is mobile OCR SDK, which can be configured by yourself to scan all kinds of numbers, characters, text and codes.

The plugin lets you connect to the SDK with React-Native.

Example

Go to the Example project in the example folder.

Check out the examples ResultView.js and config.json to see the implementation.

Quick Start Guide

1. Get a License

Go to our pricing page and get your license or sign up for your expiring test license.

2. Get the Anyline react-native plugin

Download or Clone the Repo to your node_modules

project   
│    android.index.js
│    ios.index.js
└─── node_modules
     └─── anyline-ocr-react-native-module

or just go

 npm i anyline-ocr-react-native-module

Link the project. Run in root:

react-native link

in the root folder.

3. Get the native Dependencies

Android

Setup Packages

Package name must match with the bundleID from your Anyline License.

Add Anyline Package

Go into the native Android folder of your Project to your MainApplication.

Import the AnylinePackage

import com.anyline.reactnative.AnylinePackage;

and add the package to your getPackages function

@Override
    protected List<ReactPackage> getPackages() {
      return Arrays.<ReactPackage>asList(
          new MainReactPackage(),
            new AnylinePackage()
      );
    }

Issues

Strict mode does not allow function declarations in a lexically nested statement.

http://stackoverflow.com/a/41076153/2157717

duplicate files during packaging of APK

packagingOptions {
  pickFirst 'lib/armeabi-v7a/libgnustl_shared.so'
  pickFirst 'lib/x86/libgnustl_shared.so'
}

iOS

Disable bitcode in your project

Podfile
  • Copy the Podfile from our example Project to your native iOS root folder.
  • Change the target of the Podfile to your project name.
  • pod update
Permissions

Add Camera Permissions to Info.plist

Privacy - Camera Usage Description

Add also every other permission you want to configure in your config.js (vibrate, sound).

Anyline License

Your BundleIdentifier of your app has to match with your bundleID from your Anyline License.

4. Import the plugin to your JavaScript file

import Anyline from 'anyline-ocr-react-native-module';

5. Import the config file

import config from './config.js';

Add and import a JSON file with the proper structure and elements. The JSON config contains:

  1. The license key

  2. Options field with

  • AnylineSDK config parameter
  • “segment”: which contains the scanModes for the UI Segment (e.g. switch between Analog and Digital) - optional
  1. OCR field with (Only if you want to use the OCR module)
  • your custom training data
  • RegEx Validation

If you want to get detailed information on the config JSON, go to ourdocumentation.

6. Call the Anyline component

Callbacks

AnylineOCR.setup(
        JSON.stringify(config),
        “ANALOG_METER”,
        this.onResult,
        this.onError
    );

Promise

openAnyline = async () => {
    ...
    
    try {
        const result = await AnylineOCR.setupPromise(JSON.stringify(config), “ANALOG_METER”);
    } catch(error) {
        console.error(error);
    }
    
    ...
}
Deprecated
AnylineOCR.setupScanViewWithConfigJson(
        JSON.stringify(config),
        “ANALOG_METER”,
        this.onResult,
        this.onError
    );

7. Add TrainData to the OCR Module

If you are using the ANYLINE_OCR module, you'll have to add some traineddata. There are some predefined traineddata which you can find in the example app. Also the OCR Config has to reflect the path. Check the VoucherConfig.js in the example/RNExampleApp/config folder.

iOS

ios   
└─── trainedData
     └─── myTrainedData.traineddata

Android

android   
└─── app
      └─── src
            └─── main
                   └─── assets
                          └─── traindData
                                  └─── myTrainedData.traineddata

Props

Key Type Default Description
config string *required config (JSON String)
scanMode string *required Will set the scanMode/Module of the Plugin.
onResult function *required The function you pass will be the onResult callback. Use this callback to handle the found scan results.
onError function *required The onError function will be called when the AnylinePlugin encounters an error. Handle the error messages in this method.

config

Stringified JSON with all the configurations, detailed information here.

Keep in mind, that you have to add every permission to your project, you add in the config (vibrateOnResult -> vibration permission)

scanMode

Available settings:

Energy Meter
"AUTO_ANALOG_DIGITAL_METER"
"ANALOG_METER"
"DIGITAL_METER"
"DIAL_METER"
"HEAT_METER_4"
"HEAT_METER_5"
"HEAT_METER_6"
"SERIAL_NUMBER"
Other ScanModes
"BARCODE"
"MRZ"
"ANYLINE_OCR"
"DOCUMENT"
"LICENSE_PLATE"

Get more information in our Docu.

onResult Function

Callback -> Stringified JSON

{
    reading : 'Result of the Scan',
    imagePath : 'path to cropped image',
    fullImagePath : 'path to full image',
    barcode : 'result of the simultaneous barcode scanning',
    scanMode : 'selected scanMode',
    meterType : 'meter type'
}

More information about the simultaneous barcode scanning here.

onError Function

Callback -> String

  • String errorMessage

Images

Keep in mind, all the images are saved in the cache directory of the app. For performance reasons, we only provide the path as string, so we don't have to transfer the whole image through the bridge. Please be aware, that you should not use the images in the cache directory for persistent storage, but store the images in a location of your choice for persistence.

License

See LICENSE file.

About

Anyline React Native Module for iOS and Android

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 41.4%
  • Objective-C 41.1%
  • JavaScript 16.0%
  • Other 1.5%