MLDocumentAnalyzer

Sample code:

// Create a document analyzer that uses the default configuration.
MLDocumentAnalyzer analyzer = MLAnalyzerFactory.getInstance().getRemoteDocumentAnalyzer();
// Create an MLFrame using the bitmap.
MLFrame frame = MLFrame.fromBitmap(bitmap);
// Create a document detection task.
Task<MLDocument> task = analyzer.asyncAnalyseFrame(frame);
task.addOnSuccessListener(new OnSuccessListener<MLDocument>() {
    @Override
    public void onSuccess(MLDocument document) {
        // Recognition success.
    }
}).addOnFailureListener(new OnFailureListener() {
    @Override
    public void onFailure(Exception e) {
        // If the recognition fails, obtain related exception information.
        try {        
            MLException mlException = (MLException) e;
            // Obtain the result code. You can process the result code and customize respective messages displayed to users.
            int errorCode = mlException.getErrCode();
            // Obtain the error message. You can quickly locate the fault based on the result code.
            String errorMessage = mlException.getMessage();    
        } catch (Exception error) {
           // Handle the conversion error.
        }
    }
});