diff --git a/python/demo.py b/python/demo.py
index e115f06..4d456d6 100644
--- a/python/demo.py
+++ b/python/demo.py
@@ -19,28 +19,19 @@ with open(image_path, "rb") as f:
     img = f.read()
 
 # result, elapse_list = engine(img, use_det=True, use_cls=False, use_rec=False)
-result, elapse_list = engine(img, return_word_box=True)
+result = engine(img, return_word_box=True)
 print(result)
-print(elapse_list)
+print(result.elapse)
 
-# result, elapse = engine(image_path, use_det=False, use_cls=False, use_rec=True)
+boxes = result.boxes
+txts = result.txts
+scores = result.scores
 
-(boxes, txts, scores, words_boxes, words, words_scores) = list(zip(*result))
 font_path = "resources/fonts/FZYTK.TTF"
+vis_img = vis(img, result.boxes, result.txts, result.scores, font_path)
+cv2.imwrite("vis.png", vis_img)
 
-words_boxes = sum(words_boxes, [])
-words_all = sum(words, [])
-words_scores = sum(words_scores, [])
-vis_img = vis(img, words_boxes, words_all, words_scores, font_path)
+words_results = result.word_results
+words, words_scores, words_boxes = list(zip(*words_results))
+vis_img = vis(img, words_boxes, words, words_scores, font_path)
 cv2.imwrite("vis_single.png", vis_img)
-
-# (boxes, txts, scores, words_boxes, words) = list(zip(*result))
-
-# vis_img = vis(img, boxes, txts, scores, font_path)
-# cv2.imwrite("vis.png", vis_img)
-
-# words_boxes = sum(words_boxes, [])
-# words_all = sum(words, [])
-# words_scores = [1.0] * len(words_boxes)
-# vis_img = vis(img, words_boxes, words_all, words_scores, font_path)
-# cv2.imwrite("vis_single.png", vis_img)
diff --git a/python/rapidocr/cal_rec_boxes/main.py b/python/rapidocr/cal_rec_boxes/main.py
index 6d86bd9..dc37119 100644
--- a/python/rapidocr/cal_rec_boxes/main.py
+++ b/python/rapidocr/cal_rec_boxes/main.py
@@ -28,7 +28,7 @@ class CalRecBoxes:
         for idx, (img, box) in enumerate(zip(imgs, dt_boxes)):
             direction = self.get_box_direction(box)
 
-            rec_txt = rec_res.line_txts[idx]
+            rec_txt = rec_res.txts[idx]
             rec_word_info = rec_res.word_results[idx]
 
             h, w = img.shape[:2]
diff --git a/python/rapidocr/ch_ppocr_cls/utils.py b/python/rapidocr/ch_ppocr_cls/utils.py
index c4e96b2..fc82ffb 100644
--- a/python/rapidocr/ch_ppocr_cls/utils.py
+++ b/python/rapidocr/ch_ppocr_cls/utils.py
@@ -23,6 +23,11 @@ class TextClsOutput:
     cls_res: Optional[List[Tuple[str, float]]] = None
     elapse: Optional[float] = None
 
+    def __len__(self):
+        if self.img_list is None:
+            return 0
+        return len(self.img_list)
+
 
 class ClsPostProcess:
     def __init__(self, label_list: List[str]):
diff --git a/python/rapidocr/ch_ppocr_det/utils.py b/python/rapidocr/ch_ppocr_det/utils.py
index 377e9f2..8210428 100644
--- a/python/rapidocr/ch_ppocr_det/utils.py
+++ b/python/rapidocr/ch_ppocr_det/utils.py
@@ -16,6 +16,11 @@ class TextDetOutput:
     scores: Optional[Tuple[float]] = None
     elapse: float = 0.0
 
+    def __len__(self):
+        if self.boxes is None:
+            return 0
+        return len(self.boxes)
+
 
 class DetPreProcess:
     def __init__(
diff --git a/python/rapidocr/ch_ppocr_rec/main.py b/python/rapidocr/ch_ppocr_rec/main.py
index a67955c..44ea52b 100644
--- a/python/rapidocr/ch_ppocr_rec/main.py
+++ b/python/rapidocr/ch_ppocr_rec/main.py
@@ -90,8 +90,8 @@ class TextRecognizer:
             elapse += time.perf_counter() - start_time
 
         all_line_results, all_word_results = list(zip(*rec_res))
-        line_txts, line_scores = list(zip(*all_line_results))
-        return TextRecOutput(line_txts, line_scores, all_word_results, elapse)
+        txts, scores = list(zip(*all_line_results))
+        return TextRecOutput(txts, scores, all_word_results, elapse)
 
     def resize_norm_img(self, img: np.ndarray, max_wh_ratio: float) -> np.ndarray:
         img_channel, img_height, img_width = self.rec_image_shape
diff --git a/python/rapidocr/ch_ppocr_rec/utils.py b/python/rapidocr/ch_ppocr_rec/utils.py
index 4070593..d69410e 100644
--- a/python/rapidocr/ch_ppocr_rec/utils.py
+++ b/python/rapidocr/ch_ppocr_rec/utils.py
@@ -29,13 +29,18 @@ class TextRecInput:
 
 @dataclass
 class TextRecOutput:
-    line_txts: Optional[Tuple[str]] = None
-    line_scores: Tuple[float] = (1.0,)
+    txts: Optional[Tuple[str]] = None
+    scores: Tuple[float] = (1.0,)
     word_results: Tuple[Tuple[str, float, Optional[List[List[int]]]]] = (
         ("", 1.0, None),
     )
     elapse: Optional[float] = None
 
+    def __len__(self):
+        if self.txts is None:
+            return 0
+        return len(self.txts)
+
 
 class CTCLabelDecode:
     def __init__(
diff --git a/python/rapidocr/main.py b/python/rapidocr/main.py
index bd2451c..3cceb99 100644
--- a/python/rapidocr/main.py
+++ b/python/rapidocr/main.py
@@ -64,7 +64,7 @@ class RapidOCR:
 
         self.cal_rec_boxes = CalRecBoxes()
 
-        self.return_paddleocr_format = True
+        self.return_paddleocr_format = False
 
     def __call__(
         self,
@@ -255,7 +255,7 @@ class RapidOCR:
         self, det_res: TextDetOutput, cls_res: TextClsOutput, rec_res: TextRecOutput
     ) -> Union[TextDetOutput, TextClsOutput, TextRecOutput, RapidOCROutput]:
         dt_boxes = det_res.boxes
-        txt_res = rec_res.line_txts
+        txt_res = rec_res.txts
 
         if dt_boxes is None and txt_res is None and cls_res.cls_res is not None:
             return cls_res
@@ -266,13 +266,13 @@ class RapidOCR:
         if dt_boxes is None and txt_res is not None:
             return rec_res
 
-        if dt_boxes is not None and rec_res is None:
+        if dt_boxes is not None and txt_res is None:
             return det_res
 
         ocr_res = RapidOCROutput(
             boxes=det_res.boxes,
-            txts=rec_res.line_txts,
-            scores=rec_res.line_scores,
+            txts=rec_res.txts,
+            scores=rec_res.scores,
             word_results=rec_res.word_results,
             elapse_list=[det_res.elapse, cls_res.elapse, rec_res.elapse],
         )
diff --git a/python/rapidocr/utils/typings.py b/python/rapidocr/utils/typings.py
index 6847986..0ac02cd 100644
--- a/python/rapidocr/utils/typings.py
+++ b/python/rapidocr/utils/typings.py
@@ -17,13 +17,19 @@ class RapidOCROutput:
     elapse: float = field(init=False)
 
     def __post_init__(self):
-        self.elapse = sum(self.elapse_list)
+        self.elapse = sum(v for v in self.elapse_list if isinstance(v, float))
+
+    def __len__(self):
+        if self.txts is None:
+            return 0
+        return len(self.txts)
 
     def to_json(self):
         pass
 
     def to_paddleocr_format(self):
-        """Return format like:
+        """Refer: https://pypi.org/project/paddleocr/2.7.3/
+        Return format like:
         [
           [[[6.0, 2.0], [322.0, 9.0], [320.0, 104.0], [4.0, 97.0]], ['正品促销', 0.99893]],
           [[[70.0, 98.0], [252.0, 98.0], [252.0, 125.0], [70.0, 125.0]], ['大桶装更划算', 0.9843]]
diff --git a/python/tests/test_main.py b/python/tests/test_main.py
index b2fc534..b46c578 100644
--- a/python/tests/test_main.py
+++ b/python/tests/test_main.py
@@ -27,10 +27,10 @@ def test_long_img():
     img_url = "https://github.com/RapidAI/RapidOCR/releases/download/v1.1.0/long.jpeg"
     img_path = tests_dir / "long.jpeg"
     download_file(img_url, save_path=img_path)
-    result, _ = engine(img_path)
+    result = engine(img_path)
 
     assert result is not None
-    assert len(result) >= 53
+    assert len(result.boxes) >= 53
 
     img_path.unlink()
 
@@ -53,8 +53,8 @@ def test_ort_dml_warning(caplog):
 
 def test_mode_one_img():
     img_path = tests_dir / "issue_170.png"
-    result, _ = engine(img_path)
-    assert result[0][1] == "TEST"
+    result = engine(img_path)
+    assert result.txts[0] == "TEST"
 
 
 @pytest.mark.parametrize(
@@ -72,8 +72,8 @@ def test_mode_one_img():
 )
 def test_transparent_img(img_name: str, gt: str):
     img_path = tests_dir / img_name
-    result, _ = engine(img_path)
-    assert result[0][1] == gt
+    result = engine(img_path)
+    assert result.txts[0] == gt
 
 
 @pytest.mark.parametrize(
@@ -89,54 +89,53 @@ def test_transparent_img(img_name: str, gt: str):
 )
 def test_letterbox_like(img_name, gt_len, gt_first_len):
     img_path = tests_dir / img_name
-    result, _ = engine(img_path)
+    result = engine(img_path)
 
     assert len(result) == gt_len
-    assert result[0][1].lower() == gt_first_len.lower()
+    assert result.txts[0].lower() == gt_first_len.lower()
 
 
 def test_only_det():
-    result, _ = engine(img_path, use_det=True, use_cls=False, use_rec=False)
-
+    result = engine(img_path, use_det=True, use_cls=False, use_rec=False)
     assert len(result) == 18
 
 
 def test_only_cls():
     img_path = tests_dir / "text_cls.jpg"
-    result, _ = engine(img_path, use_det=False, use_cls=True, use_rec=False)
+    result = engine(img_path, use_det=False, use_cls=True, use_rec=False)
     assert len(result) == 1
-    assert result[0][0] == "0"
+    assert result.cls_res[0][0] == "0"
 
 
 def test_only_rec():
     img_path = tests_dir / "text_rec.jpg"
-    result, _ = engine(img_path, use_det=False, use_cls=False, use_rec=True)
+    result = engine(img_path, use_det=False, use_cls=False, use_rec=True)
     assert len(result) == 1
-    assert result[0][0] == "韩国小馆"
+    assert result.txts[0] == "韩国小馆"
 
 
 def test_det_rec():
-    result, _ = engine(img_path, use_det=True, use_cls=False, use_rec=True)
-    assert result[0][1] == "正品促销"
+    result = engine(img_path, use_det=True, use_cls=False, use_rec=True)
     assert len(result) == 18
+    assert result.txts[0] == "正品促销"
 
 
 def test_cls_rec():
     img_path = tests_dir / "text_cls.jpg"
-    result, _ = engine(img_path, use_det=False, use_cls=True, use_rec=True)
+    result = engine(img_path, use_det=False, use_cls=True, use_rec=True)
 
     assert result is not None
     assert len(result) == 1
-    assert result[0][0] == "韩国小馆"
+    assert result.txts[0] == "韩国小馆"
 
 
 def test_det_cls_rec():
     img = cv2.imread(str(img_path))
 
-    result, _ = engine(img)
+    result = engine(img)
     assert result is not None
-    assert result[0][1] == "正品促销"
     assert len(result) == 18
+    assert result.txts[0] == "正品促销"
 
 
 def test_empty():
@@ -149,41 +148,40 @@ def test_empty():
 
 def test_zeros():
     img = np.zeros([640, 640, 3], np.uint8)
-    result, _ = engine(img)
-    assert result is None
+    result = engine(img)
+    assert result.boxes is None
 
 
 def test_input_str():
-    result, _ = engine(str(img_path))
-    assert result[0][1] == "正品促销"
+    result = engine(str(img_path))
     assert len(result) == 18
+    assert result.txts[0] == "正品促销"
 
 
 def test_input_bytes():
     with open(img_path, "rb") as f:
-        result, _ = engine(f.read())
-    assert result[0][1] == "正品促销"
+        result = engine(f.read())
     assert len(result) == 18
+    assert result.txts[0] == "正品促销"
 
 
 def test_input_path():
-    result, _ = engine(img_path)
-    assert result[0][1] == "正品促销"
+    result = engine(img_path)
     assert len(result) == 18
+    assert result.txts[0] == "正品促销"
 
 
 def test_input_parameters():
     img_path = tests_dir / "ch_en_num.jpg"
     engine = RapidOCR(text_score=1)
-    result, _ = engine(img_path)
-
-    assert result is None
+    result = engine(img_path)
+    assert result.boxes is None
 
 
 def test_input_det_parameters():
     with pytest.raises(FileNotFoundError) as exc_info:
         engine = RapidOCR(det_model_path="1.onnx")
-        result, _ = engine(img_path)
+        result = engine(img_path)
         raise FileNotFoundError()
     assert exc_info.type is FileNotFoundError
 
@@ -191,7 +189,7 @@ def test_input_det_parameters():
 def test_input_cls_parameters():
     with pytest.raises(FileNotFoundError) as exc_info:
         engine = RapidOCR(cls_model_path="1.onnx")
-        result, _ = engine(img_path)
+        result = engine(img_path)
         raise FileNotFoundError()
     assert exc_info.type is FileNotFoundError
 
@@ -199,7 +197,7 @@ def test_input_cls_parameters():
 def test_input_rec_parameters():
     with pytest.raises(FileNotFoundError) as exc_info:
         engine = RapidOCR(rec_model_path="1.onnx")
-        result, _ = engine(img_path)
+        result = engine(img_path)
         raise FileNotFoundError()
     assert exc_info.type is FileNotFoundError
 
@@ -207,11 +205,11 @@ def test_input_rec_parameters():
 def test_input_three_ndim_two_channel():
     img_npy = tests_dir / "two_dim_image.npy"
     image_array = np.load(str(img_npy))
-    result, _ = engine(image_array)
+    result = engine(image_array)
 
     assert result is not None
     assert len(result) == 1
-    assert result[0][1] == "TREND PLOT REPORT"
+    assert result.txts[0] == "TREND PLOT REPORT"
 
 
 def test_input_three_ndim_one_channel():
@@ -220,30 +218,59 @@ def test_input_three_ndim_one_channel():
     img = img[:, :, 0]
     img = img[..., None]  # (H, W, 1)
 
-    result, _ = engine(img)
-
+    result = engine(img)
     assert len(result) >= 17
 
 
-@pytest.mark.skip(reason="no way of currently testing this")
 @pytest.mark.parametrize(
     "img_name,words",
     [
         (
             "black_font_color_transparent.png",
-            ["我", "是", "中", "国", "人"],
+            ("我", "是", "中", "国", "人"),
         ),
         (
             "text_vertical_words.png",
-            ["已", "取", "之", "時", "不", "參", "一", "人", "見", "而"],
+            (
+                "已",
+                "取",
+                "之",
+                "時",
+                "不",
+                "參",
+                "一",
+                "人",
+                "見",
+                "而",
+                "是",
+                "非",
+                "不",
+                "得",
+                "問",
+                "之",
+                "人",
+                "要",
+                "取",
+                "之",
+                "有",
+                "是",
+                "是",
+                "非",
+                "非",
+                "之",
+                "士",
+                "師",
+                "也",
+            ),
         ),
         (
             "issue_170.png",
-            ["T", "E", "S", "T"],
+            ("T", "E", "S", "T"),
         ),
     ],
 )
 def test_word_ocr(img_name: str, words: List[str]):
     img_path = tests_dir / img_name
-    result, _ = engine(img_path, return_word_box=True)
-    assert result[0][4] == words
+    result = engine(img_path, return_word_box=True)
+    txts, _, _ = list(zip(*result.word_results))
+    assert txts == words