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In this article, we are going to learn Text recognition from the camera in Flutter.
Recognizes the text from the image/ real-time camera. The ML Kit Text Recognition API can recognize text in any Latin-based character set. Please check Google ML Kit for more on Text recognition.
For text recognition in Flutter, we are going to use these flutter plugins: google_ml_kit and camera.
google_ml_kit: for the text recognition and many more, please check the official pub here.
camera: for accessing the device cameras, image stream which we are going to use later and for more check here.
Before we get started read about the platform-specific requirements here and known issues of the google_ml_kit plugin here.
And for the camera plugin platform-specific requirements check here and for the known issues check here.
We start by adding these plugins to our project’s pubspec.yaml file:
After adding the plugins, import them into your camera_screen.dart file like:
Now define your camera controller and initialize it inside initState method and Initialize TextDetector like this:
Once the camera is initialized, we start streaming images from the platform camera using the startImageStream method and pass the _processCameraImage method which is defined below as the parameter to it:
As you can see in the above code, textDetector.processImage(inputImage) is the main method for recognizing the text from the image and requires an InputImage type image as a parameter so first, we need to get the InputImage for the recognition from the CameraImage and we are getting this using getInputImage(image) method defined below:
Now create your CameraPreview widget for creating a preview widget for the given camera controller. and pass the above-defined CameraController like:
And put the above camera preview widget inside your build method like any other widget and that’s it.
Thanks for reading.
Happy Coding 🙂
For more Flutter tutorials visit Mobikul Blogs.
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