flutter_scalable_ocr

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Description:

flutter scalable ocr

Flutter Scalable OCR #
v1.0.1
Flutter scalable OCR package is a wrapper around Google ML kit Text Recognition. It tackles the issue of fetching data just from part od a camera and also narowing down the camera viewport which was common problem. To see how it work in real case scenario you can check the app where it was used Exchange Rate Scanner and here are some gifs from example project.




Requirements #
Since thus package uses ML Kit check requirements before running the package in project.
Features #
Scan text from narow window of camera and not whole screen. There are two function getScannedText to fetch readed text as a string, or getRawData which returns list of TextElement consult ML Kit Text Recognition objects as from followin structure from google developer site image. Pinch and zoom should also work:
Note: Wrapper uses Camera package so you need to add perimission as in documentation.



Usage #
Add the package to pubspec.yaml
dependencies:
flutter_scalable_ocr: x.x.x
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Import it
import 'package:flutter_scalable_ocr/flutter_scalable_ocr.dart';
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Full examples for all three options are in /example folder so please take a look for working version.
Parameters:



Parameter
Description
Default




boxLeftOff
Scalable center square left
4


boxBottomOff
Scalable center square bottom
2.7


boxRightOff
Scalable center square right
4


boxTopOff
Scalable center square top
2.7


paintboxCustom
Narrowed square in camera window
from example


boxHeight
Camera Window height
from example


getScannedText
Callback function that returns string



getRawData
Callback function that returns list of TextElement




Use widget:
ScalableOCR(
paintboxCustom: Paint()
..style = PaintingStyle.stroke
..strokeWidth = 4.0
..color = const Color.fromARGB(153, 102, 160, 241),
boxLeftOff: 4,
boxBottomOff: 2.7,
boxRightOff: 4,
boxTopOff: 2.7,
boxHeight: MediaQuery.of(context).size.height / 5,
getRawData: (value) {
inspect(value);
},
getScannedText: (value) {
setText(value);
}),
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License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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