TextRecognition
client for performing optical character recognition(OCR) on an input image to detect
latin-based characters.
A TextRecognizer
is created via
TextRecognition.getClient(TextRecognizerOptionsInterface). See the code example
below.
TextRecognizer textRecognizer = TextRecognition.getClient(TextRecognizerOptions.DEFAULT_OPTIONS);
To perform OCR on an image, you first need to create an instance of
InputImage
from a ByteBuffer,
Bitmap, etc. See
InputImage
documentation for more details. For example, the code below creates an InputImage
from a Bitmap.
InputImage image = InputImage.fromBitmap(bitmap, rotationDegrees);
Then the code below can detect texts in the supplied InputImage.
Task<Text> task = textRecognizer.process(image);
task.addOnSuccessListener(...).addOnFailureListener(...);
Public Method Summary
| abstract void |
close()
Closes the detector and releases its resources.
|
| abstract Task<Text> | |
| abstract Task<Text> |
Inherited Method Summary
Public Methods
public abstract void close ()
Closes the detector and releases its resources.
public abstract Task<Text> process (MlImage image)
Detects latin-based characters from the supplied image.
This is an experimental API in beta version.
Create an MlImage
object using one of MlImage's
builder methods. See MlImage
documentation for more details.
If the text recognition model has not been downloaded yet, the returned
Task will
contain an MlKitException
with error code MlKitException.UNAVAILABLE.
public abstract Task<Text> process (InputImage image)
Detects latin-based characters from the supplied image.
Create an InputImage
object using one of InputImage's
factory methods. See InputImage
documentation for more details.
If the text recognition model has not been downloaded yet, the returned
Task will
contain an MlKitException
with error code MlKitException.UNAVAILABLE.