Is it possible to check orientation of an image before passing it through pytesseract ocr module

For my current ocr project I tried using tesserect using the the python cover pytesseract for converting images into text files. Up till now I was only passing well straight oriented images into my module at it was able to properly figure out text in that image. But now as I am passing rotated images it is not able recognize even a single word. So to get good result I need to pass images only with proper orientation. Now I want to know that is there any method to figure out the orientation of an image before passing it in ocr module. Please let me know what methods can I used to do that orientation check.

This is the method which I am using to do conversion:

def images_to_text(testImg):
    print('Reading images form the directory..........')
    dataFile=[]
    for filename in os.listdir(testImg):
        os.chdir(testImg)
        # Define config parameters.
        # '-l eng'  for using the English language 
        # '--oem 1' for using LSTM OCR Engine
        config = ('-l eng --oem 1 --psm 3')
        # Read image from disk
        im = cv2.imread(str(filename), cv2.IMREAD_COLOR)
        # Run tesseract OCR on image
        text = pytesseract.image_to_string(im, config=config)
        #basic preprocessing of the text
        text = text.replace('\t',' ')
        text= text.rstrip()
        text= text.lstrip()
        text = text.replace(' +',' ')
        text = text.replace('\n+','\n')
        text = text.replace('\n+ +',' ')

        #writing data to file
        os.chdir(imgTxt)
        rep=filename[-3:]
        name=filename.replace(rep,'txt')
        with open(name, 'w') as writeFile:
            writeFile.write("%s\n" % text)
        text = text.replace('\n',' ')
        dataFile.append(text)
    print('writing data to file done')    
    return dataFile

I got the solution to check the orientation of an image. We already have an method in pytesseract to do this work.

imPath='path_to_image'
im = cv2.imread(str(imPath), cv2.IMREAD_COLOR)
newdata=pytesseract.image_to_osd(im)
re.search('(?<=Rotate: )\d+', newdata).group(0)

Output of method pytesseract.image_to_osd(im) is:

Page number: 0
Orientation in degrees: 270
Rotate: 90
Orientation confidence: 4.21
Script: Latin
Script confidence: 1.90

And we need rotation value only for changing the orientation, so using regular expression will do further remaining work.

re.search('(?<=Rotate: )\d+', newdata).group(0)

This would be the final method to rotate an image to bring it to 0` orientation.

def rotate(image, center = None, scale = 1.0):
    angle=360-int(re.search('(?<=Rotate: )\d+', pytesseract.image_to_osd(image)).group(0))
    (h, w) = image.shape[:2]

    if center is None:
        center = (w / 2, h / 2)

    # Perform the rotation
    M = cv2.getRotationMatrix2D(center, angle, scale)
    rotated = cv2.warpAffine(image, M, (w, h))

    return rotated