capacitor-cyrillic-ocr

capacitor-cyrillic-ocr

OCR plugin with Cyrillic support (MLKit Vision on iOS and Tesseract4Android)

I was using amazing Capacitor plugin @pantrist/capacitor-plugin-ml-kit-text-recognition. It's based on Google's MLKit and it works great. But after a while realized, that it doesn't support any of the Cyrillic languages. So I decided to create new plugin based on Tesseract for Android and MLKit Vision for iOS.

Use this plugin only if you need support for languages and scripts that are not supported by the Google MLKit. I am not planning to maintain it much more than it's needed for my Capacitor app.

Install

npm install capacitor-cyrillic-ocr
npx cap sync

iOS

You don't have to do anything for iOS.

Android

Tesseract Trained Data files

For the Android, you will need to have the Tesseract language files in the Data directory of your app in a folder called tessdata. You can download them from here and add them to the filesystem before using the plugin.

Since the files can be quite big, the best way is to download them and save them after the app is installed. On the first run, for example.

Another issue I had with the file sizes, especially English dictionary is that it’s too big to be handled by the official Capacitor Filesystem plugin. Android application crashes with Out of memory error. I can recommend to use Capacitor Blob Writer plugin which is working correctly for me.

import write_blob from 'capacitor-blob-writer';

...

const file = await fetch(
  'https://raw.githubusercontent.com/tesseract-ocr/tessdata/master/eng.traineddata',
);
if (file) {
  await write_blob({
    path: '/tessdata/eng.traineddata',
    blob: file.blob(),
    directory: Directory.Data,
    fast_mode: true,
  });
} else {
  alert('Could not download OCR library file ' + filesToDownload[i]);
}

Repository

To install properly Tessaract4Android libraries, it is needed to add the following repository to your /android/app/build.gradle file:

repositories {
    ...
    maven { url 'https://jitpack.io' }
}

And... that should be enough. If you have any issues, please let me know.

Usage

To retrieve the text from an image, you need to pass the image as base64 string to the plugin.

Let’s say, you have an image somewhere in the filesystem. You can use Capacitor’s Filesystem plugin to read it as base64 string. Then you should pass it to the plugin, along with the languages you want to recognize as an array of strings. Languages are a three-letter ISO language codes, you can get from here. For example, for Bulgarian it’s bul, for English it’s eng.

orientation is optional (default is 'up', and yet not sure it will be supported in Android, maybe will be removed in future)

import { CapacitorOCR } from 'capacitor-cyrillic-ocr';
import { Filesystem } from '@capacitor/filesystem';

...

const fileData64 = await Filesystem.readFile({ path: 'path/to/file.jpg' });
const result = await CapacitorOCR.recognize({
  base64Image: fileData64.data,
  orientation: 'up',
  languages: ['bul', 'eng'],
});

console.log(result);

API

• recognize(...)
• Interfaces

recognize(...)

recognize(options: CapacitorOCROptions) => Promise<CapacitorOCRResult[]>

Param	Type
options	CapacitorOCROptions

Returns: Promise<CapacitorOCRResult[]>

Interfaces

CapacitorOCRResult

Prop	Type
text	string
lines	CapacitorOCRLine[]
confidence	number

CapacitorOCRLine

Prop	Type
text	string
bbox	CapacitorOCRBBox
words	CapacitorOCRWord[]
confidence	number

CapacitorOCRBBox

Prop	Type
x0	number
y0	number
x1	number
y1	number

CapacitorOCRWord

Prop	Type
text	string
bbox	CapacitorOCRBBox
confidence	number

CapacitorOCROptions

Prop	Type
base64Image	string
orientation	'up' | 'down' | 'left' | 'right'
languages	string[]