# 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](https://pub.dev/packages/flutter_tesseract_ocr) --- https://pub.dev/packages/google_ml_kit Tesseract is slower than ml_kit. Consider whether you should use Tesseract --- # example

## install ``` dev_dependencies: ... flutter_tesseract_ocr: ``` ## web ./web/index.html use https://www.npmjs.com/package/tesseract.js/v/v4.0.2 ``` ... .. . ``` --- ## 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": [ "eng.traineddata", ".traineddata" ] } ``` 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](https://github.com/khjde1207/tesseract_ocr/issues/16) Just drag tessdata folder from asset to place under Runner folder in xcode add as a reference then it will work. [Reference](https://github.com/arrrrny/tesseract_ocr/issues/31) --- ## Usage 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( 'https://github.com/tesseract-ocr/tessdata/raw/main/${langName}.traineddata')); HttpClientResponse response = await request.close(); Uint8List bytes =await consolidateHttpClientResponseBytes(response); String dir = await FlutterTesseractOcr.getTessdataPath(); print('$dir/${langName}.traineddata'); File file = new File('$dir/${langName}.traineddata'); await file.writeAsBytes(bytes); //---- dynamic add Tessdata ---- ▲ ```

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