diff --git a/doc/doc_ch/whl.md b/doc/doc_ch/whl.md
index 2e93c487c2f2071c7c89c753cf86eef61ce20805..c341b49a7b12aa10f0f3187bc861306fcae05c29 100644
--- a/doc/doc_ch/whl.md
+++ b/doc/doc_ch/whl.md
@@ -59,7 +59,7 @@ im_show.save('result.jpg')
 from paddleocr import PaddleOCR, draw_ocr
 ocr = PaddleOCR() # need to run only once to download and load model into memory
 img_path = 'PaddleOCR/doc/imgs/11.jpg'
-result = ocr.ocr(img_path)
+result = ocr.ocr(img_path,cls=False)
 for line in result:
     print(line)
 
diff --git a/doc/doc_en/whl_en.md b/doc/doc_en/whl_en.md
index 69abf085556f466853798077bb116b3986582bcc..eeaf1347dc77a24f158ba8ba2c6f013b1fd89b81 100644
--- a/doc/doc_en/whl_en.md
+++ b/doc/doc_en/whl_en.md
@@ -59,7 +59,7 @@ Visualization of results
 from paddleocr import PaddleOCR,draw_ocr
 ocr = PaddleOCR(lang='en') # need to run only once to download and load model into memory
 img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
-result = ocr.ocr(img_path)
+result = ocr.ocr(img_path, cls=False)
 for line in result:
     print(line)
 
diff --git a/paddleocr.py b/paddleocr.py
index c5da7248d2cc7d778758a87309cfeaedcbd8ceb5..5e14deb1f55ffc9270491adf27558119d113d2a6 100644
--- a/paddleocr.py
+++ b/paddleocr.py
@@ -30,7 +30,7 @@ from ppocr.utils.logging import get_logger
 
 logger = get_logger()
 from ppocr.utils.utility import check_and_read_gif, get_image_file_list
-from tools.infer.utility import draw_ocr
+from tools.infer.utility import draw_ocr, inference_args_list, str2bool, parse_args
 
 __all__ = ['PaddleOCR']
 
@@ -167,106 +167,36 @@ def maybe_download(model_storage_directory, url):
         os.remove(tmp_path)
 
 
-def parse_args(mMain=True, add_help=True):
+def parse_args_whl(mMain=True):
     import argparse
-
-    def str2bool(v):
-        return v.lower() in ("true", "t", "1")
-
+    extend_args_list = [
+        {
+            'name': 'lang',
+            'type': str,
+            'default': 'ch'
+        },
+        {
+            'name': 'det',
+            'type': str2bool,
+            'default': True
+        },
+        {
+            'name': 'rec',
+            'type': str2bool,
+            'default': True
+        },
+    ]
+    for item in inference_args_list:
+        if item['name'] == 'rec_char_dict_path':
+            item['default'] = None
+    inference_args_list.extend(extend_args_list)
     if mMain:
-        parser = argparse.ArgumentParser(add_help=add_help)
-        # params for prediction engine
-        parser.add_argument("--use_gpu", type=str2bool, default=True)
-        parser.add_argument("--ir_optim", type=str2bool, default=True)
-        parser.add_argument("--use_tensorrt", type=str2bool, default=False)
-        parser.add_argument("--gpu_mem", type=int, default=8000)
-
-        # params for text detector
-        parser.add_argument("--image_dir", type=str)
-        parser.add_argument("--det_algorithm", type=str, default='DB')
-        parser.add_argument("--det_model_dir", type=str, default=None)
-        parser.add_argument("--det_limit_side_len", type=float, default=960)
-        parser.add_argument("--det_limit_type", type=str, default='max')
-
-        # DB parmas
-        parser.add_argument("--det_db_thresh", type=float, default=0.3)
-        parser.add_argument("--det_db_box_thresh", type=float, default=0.5)
-        parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6)
-        parser.add_argument("--use_dilation", type=bool, default=False)
-        parser.add_argument("--det_db_score_mode", type=str, default="fast")
-
-        # EAST parmas
-        parser.add_argument("--det_east_score_thresh", type=float, default=0.8)
-        parser.add_argument("--det_east_cover_thresh", type=float, default=0.1)
-        parser.add_argument("--det_east_nms_thresh", type=float, default=0.2)
-
-        # params for text recognizer
-        parser.add_argument("--rec_algorithm", type=str, default='CRNN')
-        parser.add_argument("--rec_model_dir", type=str, default=None)
-        parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320")
-        parser.add_argument("--rec_char_type", type=str, default='ch')
-        parser.add_argument("--rec_batch_num", type=int, default=6)
-        parser.add_argument("--max_text_length", type=int, default=25)
-        parser.add_argument("--rec_char_dict_path", type=str, default=None)
-        parser.add_argument("--use_space_char", type=bool, default=True)
-        parser.add_argument("--drop_score", type=float, default=0.5)
-
-        # params for text classifier
-        parser.add_argument("--cls_model_dir", type=str, default=None)
-        parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192")
-        parser.add_argument("--label_list", type=list, default=['0', '180'])
-        parser.add_argument("--cls_batch_num", type=int, default=6)
-        parser.add_argument("--cls_thresh", type=float, default=0.9)
-
-        parser.add_argument("--enable_mkldnn", type=bool, default=False)
-        parser.add_argument("--use_zero_copy_run", type=bool, default=False)
-        parser.add_argument("--use_pdserving", type=str2bool, default=False)
-
-        parser.add_argument("--lang", type=str, default='ch')
-        parser.add_argument("--det", type=str2bool, default=True)
-        parser.add_argument("--rec", type=str2bool, default=True)
-        parser.add_argument("--use_angle_cls", type=str2bool, default=False)
-        return parser.parse_args()
+        return parse_args()
     else:
-        return argparse.Namespace(
-            use_gpu=True,
-            ir_optim=True,
-            use_tensorrt=False,
-            gpu_mem=8000,
-            image_dir='',
-            det_algorithm='DB',
-            det_model_dir=None,
-            det_limit_side_len=960,
-            det_limit_type='max',
-            det_db_thresh=0.3,
-            det_db_box_thresh=0.5,
-            det_db_unclip_ratio=1.6,
-            use_dilation=False,
-            det_db_score_mode="fast",
-            det_east_score_thresh=0.8,
-            det_east_cover_thresh=0.1,
-            det_east_nms_thresh=0.2,
-            rec_algorithm='CRNN',
-            rec_model_dir=None,
-            rec_image_shape="3, 32, 320",
-            rec_char_type='ch',
-            rec_batch_num=6,
-            max_text_length=25,
-            rec_char_dict_path=None,
-            use_space_char=True,
-            drop_score=0.5,
-            cls_model_dir=None,
-            cls_image_shape="3, 48, 192",
-            label_list=['0', '180'],
-            cls_batch_num=6,
-            cls_thresh=0.9,
-            enable_mkldnn=False,
-            use_zero_copy_run=False,
-            use_pdserving=False,
-            lang='ch',
-            det=True,
-            rec=True,
-            use_angle_cls=False)
+        inference_args_dict = {}
+        for item in inference_args_list:
+            inference_args_dict[item['name']] = item['default']
+        return argparse.Namespace(**inference_args_dict)
 
 
 class PaddleOCR(predict_system.TextSystem):
@@ -276,7 +206,7 @@ class PaddleOCR(predict_system.TextSystem):
         args:
             **kwargs: other params show in paddleocr --help
         """
-        postprocess_params = parse_args(mMain=False, add_help=False)
+        postprocess_params = parse_args_whl(mMain=False)
         postprocess_params.__dict__.update(**kwargs)
         self.use_angle_cls = postprocess_params.use_angle_cls
         lang = postprocess_params.lang
@@ -346,7 +276,7 @@ class PaddleOCR(predict_system.TextSystem):
         # init det_model and rec_model
         super().__init__(postprocess_params)
 
-    def ocr(self, img, det=True, rec=True, cls=False):
+    def ocr(self, img, det=True, rec=True, cls=True):
         """
         ocr with paddleocr
         args：
@@ -358,9 +288,7 @@ class PaddleOCR(predict_system.TextSystem):
         if isinstance(img, list) and det == True:
             logger.error('When input a list of images, det must be false')
             exit(0)
-        if cls == False:
-            self.use_angle_cls = False
-        elif cls == True and self.use_angle_cls == False:
+        if cls == True and self.use_angle_cls == False:
             logger.warning(
                 'Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process'
             )
@@ -382,7 +310,7 @@ class PaddleOCR(predict_system.TextSystem):
         if isinstance(img, np.ndarray) and len(img.shape) == 2:
             img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
         if det and rec:
-            dt_boxes, rec_res = self.__call__(img)
+            dt_boxes, rec_res = self.__call__(img, cls)
             return [[box.tolist(), res] for box, res in zip(dt_boxes, rec_res)]
         elif det and not rec:
             dt_boxes, elapse = self.text_detector(img)
@@ -392,7 +320,7 @@ class PaddleOCR(predict_system.TextSystem):
         else:
             if not isinstance(img, list):
                 img = [img]
-            if self.use_angle_cls:
+            if self.use_angle_cls and cls:
                 img, cls_res, elapse = self.text_classifier(img)
                 if not rec:
                     return cls_res
@@ -402,7 +330,7 @@ class PaddleOCR(predict_system.TextSystem):
 
 def main():
     # for cmd
-    args = parse_args(mMain=True)
+    args = parse_args_whl(mMain=True)
     image_dir = args.image_dir
     if image_dir.startswith('http'):
         download_with_progressbar(image_dir, 'tmp.jpg')
diff --git a/tools/infer/predict_system.py b/tools/infer/predict_system.py
index ba81aff0a940fbee234e59e98f73c62fc7f69f09..78f5a4729918e33e174705e1b9b0f6e4c27699c6 100755
--- a/tools/infer/predict_system.py
+++ b/tools/infer/predict_system.py
@@ -85,7 +85,7 @@ class TextSystem(object):
             cv2.imwrite("./output/img_crop_%d.jpg" % bno, img_crop_list[bno])
             logger.info(bno, rec_res[bno])
 
-    def __call__(self, img):
+    def __call__(self, img, cls=True):
         ori_im = img.copy()
         dt_boxes, elapse = self.text_detector(img)
         logger.info("dt_boxes num : {}, elapse : {}".format(
@@ -100,7 +100,7 @@ class TextSystem(object):
             tmp_box = copy.deepcopy(dt_boxes[bno])
             img_crop = self.get_rotate_crop_image(ori_im, tmp_box)
             img_crop_list.append(img_crop)
-        if self.use_angle_cls:
+        if self.use_angle_cls and cls:
             img_crop_list, angle_list, elapse = self.text_classifier(
                 img_crop_list)
             logger.info("cls num  : {}, elapse : {}".format(
diff --git a/tools/infer/utility.py b/tools/infer/utility.py
index b5fe3ba9813b319d5baf7a9cf2ed0cb655e12021..3aa2a01e9d30da9a636db2c491ea3e5cfa621beb 100755
--- a/tools/infer/utility.py
+++ b/tools/infer/utility.py
@@ -23,87 +23,288 @@ import math
 from paddle import inference
 
 
-def parse_args():
-    def str2bool(v):
-        return v.lower() in ("true", "t", "1")
+def str2bool(v):
+    return v.lower() in ("true", "t", "1")
 
-    parser = argparse.ArgumentParser()
-    # params for prediction engine
-    parser.add_argument("--use_gpu", type=str2bool, default=True)
-    parser.add_argument("--ir_optim", type=str2bool, default=True)
-    parser.add_argument("--use_tensorrt", type=str2bool, default=False)
-    parser.add_argument("--use_fp16", type=str2bool, default=False)
-    parser.add_argument("--gpu_mem", type=int, default=500)
 
+inference_args_list = [
+    # params for prediction engine
+    {
+        'name': 'use_gpu',
+        'type': str2bool,
+        'default': True
+    },
+    {
+        'name': 'ir_optim',
+        'type': str2bool,
+        'default': True
+    },
+    {
+        'name': 'use_tensorrt',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'use_fp16',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'enable_mkldnn',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'use_pdserving',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'use_mp',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'total_process_num',
+        'type': int,
+        'default': 1
+    },
+    {
+        'name': 'process_id',
+        'type': int,
+        'default': 0
+    },
+    {
+        'name': 'gpu_mem',
+        'type': int,
+        'default': 500
+    },
     # params for text detector
-    parser.add_argument("--image_dir", type=str)
-    parser.add_argument("--det_algorithm", type=str, default='DB')
-    parser.add_argument("--det_model_dir", type=str)
-    parser.add_argument("--det_limit_side_len", type=float, default=960)
-    parser.add_argument("--det_limit_type", type=str, default='max')
-
+    {
+        'name': 'image_dir',
+        'type': str,
+        'default': None
+    },
+    {
+        'name': 'det_algorithm',
+        'type': str,
+        'default': 'DB'
+    },
+    {
+        'name': 'det_model_dir',
+        'type': str,
+        'default': None
+    },
+    {
+        'name': 'det_limit_side_len',
+        'type': float,
+        'default': 960
+    },
+    {
+        'name': 'det_limit_type',
+        'type': str,
+        'default': 'max'
+    },
     # DB parmas
-    parser.add_argument("--det_db_thresh", type=float, default=0.3)
-    parser.add_argument("--det_db_box_thresh", type=float, default=0.5)
-    parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6)
-    parser.add_argument("--max_batch_size", type=int, default=10)
-    parser.add_argument("--use_dilation", type=bool, default=False)
-    parser.add_argument("--det_db_score_mode", type=str, default="fast")
+    {
+        'name': 'det_db_thresh',
+        'type': float,
+        'default': 0.3
+    },
+    {
+        'name': 'det_db_box_thresh',
+        'type': float,
+        'default': 0.5
+    },
+    {
+        'name': 'det_db_unclip_ratio',
+        'type': float,
+        'default': 1.6
+    },
+    {
+        'name': 'max_batch_size',
+        'type': int,
+        'default': 10
+    },
+    {
+        'name': 'use_dilation',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'det_db_score_mode',
+        'type': str,
+        'default': 'fast'
+    },
     # EAST parmas
-    parser.add_argument("--det_east_score_thresh", type=float, default=0.8)
-    parser.add_argument("--det_east_cover_thresh", type=float, default=0.1)
-    parser.add_argument("--det_east_nms_thresh", type=float, default=0.2)
-
+    {
+        'name': 'det_east_score_thresh',
+        'type': float,
+        'default': 0.8
+    },
+    {
+        'name': 'det_east_cover_thresh',
+        'type': float,
+        'default': 0.1
+    },
+    {
+        'name': 'det_east_nms_thresh',
+        'type': float,
+        'default': 0.2
+    },
     # SAST parmas
-    parser.add_argument("--det_sast_score_thresh", type=float, default=0.5)
-    parser.add_argument("--det_sast_nms_thresh", type=float, default=0.2)
-    parser.add_argument("--det_sast_polygon", type=bool, default=False)
-
+    {
+        'name': 'det_sast_score_thresh',
+        'type': float,
+        'default': 0.5
+    },
+    {
+        'name': 'det_sast_nms_thresh',
+        'type': float,
+        'default': 0.2
+    },
+    {
+        'name': 'det_sast_polygon',
+        'type': str2bool,
+        'default': False
+    },
     # params for text recognizer
-    parser.add_argument("--rec_algorithm", type=str, default='CRNN')
-    parser.add_argument("--rec_model_dir", type=str)
-    parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320")
-    parser.add_argument("--rec_char_type", type=str, default='ch')
-    parser.add_argument("--rec_batch_num", type=int, default=6)
-    parser.add_argument("--max_text_length", type=int, default=25)
-    parser.add_argument(
-        "--rec_char_dict_path",
-        type=str,
-        default="./ppocr/utils/ppocr_keys_v1.txt")
-    parser.add_argument("--use_space_char", type=str2bool, default=True)
-    parser.add_argument(
-        "--vis_font_path", type=str, default="./doc/fonts/simfang.ttf")
-    parser.add_argument("--drop_score", type=float, default=0.5)
-
+    {
+        'name': 'rec_algorithm',
+        'type': str,
+        'default': 'CRNN'
+    },
+    {
+        'name': 'rec_model_dir',
+        'type': str,
+        'default': None
+    },
+    {
+        'name': 'rec_image_shape',
+        'type': str,
+        'default': '3, 32, 320'
+    },
+    {
+        'name': 'rec_char_type',
+        'type': str,
+        'default': "ch"
+    },
+    {
+        'name': 'rec_batch_num',
+        'type': int,
+        'default': 6
+    },
+    {
+        'name': 'max_text_length',
+        'type': int,
+        'default': 25
+    },
+    {
+        'name': 'rec_char_dict_path',
+        'type': str,
+        'default': './ppocr/utils/ppocr_keys_v1.txt'
+    },
+    {
+        'name': 'use_space_char',
+        'type': str2bool,
+        'default': True
+    },
+    {
+        'name': 'vis_font_path',
+        'type': str,
+        'default': './doc/fonts/simfang.ttf'
+    },
+    {
+        'name': 'drop_score',
+        'type': float,
+        'default': 0.5
+    },
     # params for e2e
-    parser.add_argument("--e2e_algorithm", type=str, default='PGNet')
-    parser.add_argument("--e2e_model_dir", type=str)
-    parser.add_argument("--e2e_limit_side_len", type=float, default=768)
-    parser.add_argument("--e2e_limit_type", type=str, default='max')
-
+    {
+        'name': 'e2e_algorithm',
+        'type': str,
+        'default': 'PGNet'
+    },
+    {
+        'name': 'e2e_model_dir',
+        'type': str,
+        'default': None
+    },
+    {
+        'name': 'e2e_limit_side_len',
+        'type': float,
+        'default': 768
+    },
+    {
+        'name': 'e2e_limit_type',
+        'type': str,
+        'default': 'max'
+    },
     # PGNet parmas
-    parser.add_argument("--e2e_pgnet_score_thresh", type=float, default=0.5)
-    parser.add_argument(
-        "--e2e_char_dict_path", type=str, default="./ppocr/utils/ic15_dict.txt")
-    parser.add_argument("--e2e_pgnet_valid_set", type=str, default='totaltext')
-    parser.add_argument("--e2e_pgnet_polygon", type=bool, default=True)
-    parser.add_argument("--e2e_pgnet_mode", type=str, default='fast')
-
+    {
+        'name': 'e2e_pgnet_score_thresh',
+        'type': float,
+        'default': 0.5
+    },
+    {
+        'name': 'e2e_char_dict_path',
+        'type': str,
+        'default': './ppocr/utils/ic15_dict.txt'
+    },
+    {
+        'name': 'e2e_pgnet_valid_set',
+        'type': str,
+        'default': 'totaltext'
+    },
+    {
+        'name': 'e2e_pgnet_polygon',
+        'type': str2bool,
+        'default': True
+    },
+    {
+        'name': 'e2e_pgnet_mode',
+        'type': str,
+        'default': 'fast'
+    },
     # params for text classifier
-    parser.add_argument("--use_angle_cls", type=str2bool, default=False)
-    parser.add_argument("--cls_model_dir", type=str)
-    parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192")
-    parser.add_argument("--label_list", type=list, default=['0', '180'])
-    parser.add_argument("--cls_batch_num", type=int, default=6)
-    parser.add_argument("--cls_thresh", type=float, default=0.9)
+    {
+        'name': 'use_angle_cls',
+        'type': str2bool,
+        'default': False
+    },
+    {
+        'name': 'cls_model_dir',
+        'type': str,
+        'default': None
+    },
+    {
+        'name': 'cls_image_shape',
+        'type': str,
+        'default': '3, 48, 192'
+    },
+    {
+        'name': 'label_list',
+        'type': list,
+        'default': ['0', '180']
+    },
+    {
+        'name': 'cls_batch_num',
+        'type': int,
+        'default': 6
+    },
+    {
+        'name': 'cls_thresh',
+        'type': float,
+        'default': 0.9
+    },
+]
 
-    parser.add_argument("--enable_mkldnn", type=str2bool, default=False)
-    parser.add_argument("--use_pdserving", type=str2bool, default=False)
-
-    parser.add_argument("--use_mp", type=str2bool, default=False)
-    parser.add_argument("--total_process_num", type=int, default=1)
-    parser.add_argument("--process_id", type=int, default=0)
 
+def parse_args():
+    parser = argparse.ArgumentParser()
+    for item in inference_args_list:
+        parser.add_argument(
+            '--' + item['name'], type=item['type'], default=item['default'])
     return parser.parse_args()
 
 
@@ -146,7 +347,7 @@ def create_predictor(args, mode, logger):
             config.set_mkldnn_cache_capacity(10)
             config.enable_mkldnn()
             #  TODO LDOUBLEV: fix mkldnn bug when bach_size  > 1
-            #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'})
+            # config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'})
             args.rec_batch_num = 1
 
     # enable memory optim