Tesseract OCR for Flutter

Tesseract OCR 4.0 for flutter This plugin is based on Tesseract OCR 4 This plugin uses Tesseract4Android and SwiftyTesseract.

pub.dev link


Tesseract is slower than ml_kit.

Consider whether you should use Tesseract






use https://www.npmjs.com/package/tesseract.js/v/v4.0.2

  <script src='https://unpkg.com/tesseract.js@v4.0.2/dist/tesseract.min.js'></script>
    async function _extractText(imagePath , mapData){
      var worker = await Tesseract.createWorker();
      await worker.load();
      await worker.loadLanguage(mapData.language)
      await worker.initialize(mapData.language)
      await worker.setParameters(mapData.args)
      var rtn = await worker.recognize(imagePath, {}, worker.id);
      await worker.terminate();
        return rtn.data.hocr;
      return rtn.data.text;

Getting Started (Android / Ios)

You must add trained data and trained data config file to your assets directory. You can find additional language trained data files here Trained language files

add tessdata folder under assets folder, add tessdata_config.json file under assets folder:

  "files": [

Plugin assumes you have tessdata folder in your assets directory and defined in your pubspec.yaml

Check the contents of example/assets folder and example/pubspec.yaml

IOS issues

Initialization of SwiftyTesseract has failed

Just drag tessdata folder from asset to place under Runner folder in xcode add as a reference then it will work.



Using is very simple:

//args support android / Web , i don't have a mac
String text = await FlutterTesseractOcr.extractText('/path/to/image', language: 'kor+eng',
        args: {
          "psm": "4",
          "preserve_interword_spaces": "1",

You can leave language empty, it will default to `'eng'.

//---- dynamic add Tessdata (Android)---- ▼
// https://github.com/tesseract-ocr/tessdata/raw/main/dan_frak.traineddata

HttpClient httpClient = new HttpClient();

HttpClientRequest request = await httpClient.getUrl(Uri.parse(

HttpClientResponse response = await request.close();
Uint8List bytes =await consolidateHttpClientResponseBytes(response);
String dir = await FlutterTesseractOcr.getTessdataPath();

File file = new File('$dir/${langName}.traineddata');
await file.writeAsBytes(bytes);
//---- dynamic add Tessdata ---- ▲