TextRecognitionViewModel+TextRecognizer.kt

    // TextRecognitionViewModel
    fun analyzeBitmap(bitmap: Bitmap) {
        textRecognizer.analyzeBitmap(bitmap) {
            Timber.d("stringValue is ${it.stringValue}")

            if (it.stringValue.isEmpty()) {
                outputLiveData.value = "No text recognized !!"
                Timber.e("No text recognized !!")
            }

            it.blocks.forEach {
                Timber.d("analyzeBitmap: ${it.stringValue}")
                outputLiveData.value = it.stringValue
            }
        }
    }

    // TextRecognizer
    fun analyzeBitmap(bitmap: Bitmap, onSuccess: (MLText) -> Unit) {
        Timber.d("analyzeBitmap()")

        val task: Task<MLText> = analyzer?.asyncAnalyseFrame(MLFrame.fromBitmap(bitmap))!!

        task.addOnSuccessListener {
            // Recognition success.
            Timber.d("Success - Result is ${it.stringValue}")
            onSuccess(it)
        }.addOnFailureListener { e ->
            // If the recognition fails, obtain related exception information.
            try {
                val mlException = e as MLException
                // Obtain the result code. You can process the result code and customize respective messages displayed to users.
                val errorCode = mlException.errCode
                // Obtain the error information. You can quickly locate the fault based on the result code.
                val errorMessage = mlException.message

                Timber.d("Failure - errorCode: $errorCode errorMessage is $errorMessage")
            } catch (error: Exception) {
                Timber.e("Failure - Exception is $error")
            }
        }
    }