def ocr_space_file(filename, overlay=True, api_key='myAPI', language='eng'):

    payload = {'isOverlayRequired': overlay,
               'apikey': api_key,
               'language': language,
               }
    with open(filename, 'rb') as f:
        r = requests.post('https://api.ocr.space/parse/image',
                          files={filename: f},
                          data=payload,
                          )

    Info = r.content.decode()
    obj = json.loads(Info)

    f = open('Data.txt', 'w')
    for i in obj['ParsedResults']:
        for j in range(0,len(i["TextOverlay"]['Lines'])):
            allInfo = i["TextOverlay"]['Lines'][j]['Words']
            for k in allInfo:
                text = k['WordText']
                coords = [k['Left'],k['Top'],k['Width'],k['Height']]
                f1 = ','.join(map(str, coords))
                f.write(text+ " "+ f1 + 'n' )
    f.close()
    return r.content.decode()

    test_file = ocr_space_file(filename='1my.png', language='eng')

imagePaths = [f for f in glob.glob('cropped_images/*.png')]
save_path = 'Labeled_images/'

def ocr_all_screenshots():

    for pic in imagePaths:

        #src_fname, ext = os.path.splitext(pic)  # split filename and extension
        # construct output filename, basename to remove input directory
        #save_fname = os.path.join(save_path, os.path.basename(src_fname) + '_labeled.png')
        os.chdir(save_path)
        ocr_space_file(pic)

ocr_all_screenshots()

def ocr_space_file(filename, overlay=True, api_key='мой API', language='eng'):
    ...обработка json
    for i in obj['ParsedResults']:
        f = open('Data' +str(i) +'.txt', 'w')
        ...
        f1 = ','.join(map(str, coords))
        f.write(f1 + 'n' )
        f.close()
        return r.content.decode()