diff --git a/document_loaders/mypdfloader.py b/document_loaders/mypdfloader.py
index 51778b89..2d65b09f 100644
--- a/document_loaders/mypdfloader.py
+++ b/document_loaders/mypdfloader.py
@@ -1,11 +1,38 @@
 from typing import List
 from langchain.document_loaders.unstructured import UnstructuredFileLoader
-from document_loaders.ocr import get_ocr
+from ocr import get_ocr
+import cv2
+from PIL import Image
+import numpy as np
 import tqdm
 
 
 class RapidOCRPDFLoader(UnstructuredFileLoader):
     def _get_elements(self) -> List:
+        def rotate_img(img, angle):
+            '''
+            img   --image
+            angle --rotation angle
+            return--rotated img
+            '''
+            
+            h, w = img.shape[:2]
+            rotate_center = (w/2, h/2)
+            #获取旋转矩阵
+            # 参数1为旋转中心点;
+            # 参数2为旋转角度,正值-逆时针旋转;负值-顺时针旋转
+            # 参数3为各向同性的比例因子,1.0原图，2.0变成原来的2倍，0.5变成原来的0.5倍
+            M = cv2.getRotationMatrix2D(rotate_center, angle, 1.0)
+            #计算图像新边界
+            new_w = int(h * np.abs(M[0, 1]) + w * np.abs(M[0, 0]))
+            new_h = int(h * np.abs(M[0, 0]) + w * np.abs(M[0, 1]))
+            #调整旋转矩阵以考虑平移
+            M[0, 2] += (new_w - w) / 2
+            M[1, 2] += (new_h - h) / 2
+
+            rotated_img = cv2.warpAffine(img, M, (new_w, new_h))
+            return rotated_img
+        
         def pdf2text(filepath):
             import fitz # pyMuPDF里面的fitz包，不要与pip install fitz混淆
             import numpy as np
@@ -27,8 +54,18 @@ class RapidOCRPDFLoader(UnstructuredFileLoader):
                 img_list = page.get_images()
                 for img in img_list:
                     pix = fitz.Pixmap(doc, img[0])
-                    img_array = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, -1)
+                    pix = fitz.Pixmap(doc, img[0])
+                    samples = pix.samples
+                    if int(page.rotation)!=0:  #如果Page有旋转角度，则旋转图片
+                        img_array = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, -1)
+                        tmp_img = Image.fromarray(img_array);
+                        ori_img = cv2.cvtColor(np.array(tmp_img),cv2.COLOR_RGB2BGR)
+                        rot_img = rotate_img(img=ori_img, angle=360-page.rotation)
+                        img_array = cv2.cvtColor(rot_img, cv2.COLOR_RGB2BGR)
+                    else:
+                        img_array = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, -1)
                     result, _ = ocr(img_array)
+
                     if result:
                         ocr_result = [line[1] for line in result]
                         resp += "\n".join(ocr_result)
@@ -43,6 +80,6 @@ class RapidOCRPDFLoader(UnstructuredFileLoader):
 
 
 if __name__ == "__main__":
-    loader = RapidOCRPDFLoader(file_path="../tests/samples/ocr_test.pdf")
+    loader = RapidOCRPDFLoader(file_path="/Users/tonysong/Desktop/test.pdf")
     docs = loader.load()
     print(docs)