Text recognizer for performing optical character recognition(OCR) on an input image.
A text recognizer is created via 
      getOnDeviceTextRecognizer() or 
      getCloudTextRecognizer(). See the code example below.
To use on-device text recognizer:
 FirebaseVisionTextRecognizer textRecognizer =
    FirebaseVision.getInstance().getOnDeviceTextRecognizer();
 
 FirebaseVisionTextRecognizer textRecognizer =
    FirebaseVision.getInstance().getCloudTextRecognizer();
 FirebaseVisionImage
from a ByteBuffer,
      Bitmap,
      etc. See FirebaseVisionImage
      documentation for more details. For example, the code below creates a FirebaseVisionImage
      from a Bitmap.
      FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);Then the code below can detect texts in the supplied FirebaseVisionImage.
 Task<FirebaseVisionText> task = textRecognizer.processImage(image);
 task.addOnSuccessListener(...).addOnFailureListener(...);
 Nested Class Summary
| @interface | FirebaseVisionTextRecognizer.RecognizerType | Recognizer types. | |
Constant Summary
| int | CLOUD | Indicates that the recognizer is using a cloud model. | 
| int | ON_DEVICE | Indicates that the recognizer is using an on-device model. | 
Public Method Summary
| void | 
                  
                  close()
                   
                    Closes the text detector and release its model resources.
                   | 
| int | 
                  
                  getRecognizerType()
                   
                    Gets recognizer type in terms of on-device or cloud.
                   | 
| Task<FirebaseVisionText> | 
Inherited Method Summary
Constants
public static final int CLOUD
Indicates that the recognizer is using a cloud model.
public static final int ON_DEVICE
Indicates that the recognizer is using an on-device model.
Public Methods
public void close ()
Closes the text detector and release its model resources.
Throws
| IOException | 
|---|
public int getRecognizerType ()
Gets recognizer type in terms of on-device or cloud.
public Task<FirebaseVisionText> processImage (FirebaseVisionImage image)
Detects FirebaseVisionText
            from a 
            FirebaseVisionImage. The OCR is performed asynchronously. Right now, only
            the following input types are supported:
For best efficiency, create a 
            FirebaseVisionImage object using one of the following ways:
- fromMediaImage(Image, int)with a- YUV_420_888formatted image from- android.hardware.camera2.
- fromByteArray(byte[], FirebaseVisionImageMetadata)with a- NV21formatted image from- Camera(deprecated).
- fromByteBuffer(ByteBuffer, FirebaseVisionImageMetadata)if you need to pre-process the image. E.g. allocate a direct- ByteBufferand write processed pixels into the- ByteBuffer.
            FirebaseVisionImage factory methods will work as well, but possibly slightly
            slower.
          Returns
- A TaskforFirebaseVisionText.