diff --git a/ppstructure/README.md b/ppstructure/README.md
index c0c5d76d..185aa88d 100644
--- a/ppstructure/README.md
+++ b/ppstructure/README.md
@@ -34,7 +34,7 @@ Types 1-4 follow the traditional OCR process, and 5 follow the Table OCR process
 
 Use the following commands to complete the inference
 ```python
-python3 table/predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+python3 predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
 ```
 After running, each image will have a directory with the same name under the directory specified in the output field. Each table in the picture will be stored as an excel, and the excel file name will be the coordinates of the table in the image.
 
@@ -61,7 +61,7 @@ for line in result:
 
 from PIL import Image
 
-font_path = 'path/tp/PaddleOCR/doc/fonts/simfang.ttf'
+font_path = 'path/to/PaddleOCR/doc/fonts/simfang.ttf'
 image = Image.open(img_path).convert('RGB')
 im_show = draw_result(image, result,font_path=font_path)
 im_show = Image.fromarray(im_show)
diff --git a/ppstructure/README_ch.md b/ppstructure/README_ch.md
index 16621521..2cd1f6fb 100644
--- a/ppstructure/README_ch.md
+++ b/ppstructure/README_ch.md
@@ -34,7 +34,7 @@ PaddleStructure 是一个用于复杂板式文字OCR的工具包，流程如下
 
 使用如下命令即可完成预测引擎的推理
 ```python
-python3 table/predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+python3 predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
 ```
 运行完成后，每张图片会output字段指定的目录下有一个同名目录，图片里的每个表格会存储为一个excel，excel文件名为表格在图片里的坐标。
 
@@ -61,7 +61,7 @@ for line in result:
 
 from PIL import Image
 
-font_path = 'path/tp/PaddleOCR/doc/fonts/simfang.ttf'
+font_path = 'path/to/PaddleOCR/doc/fonts/simfang.ttf'
 image = Image.open(img_path).convert('RGB')
 im_show = draw_result(image, result,font_path=font_path)
 im_show = Image.fromarray(im_show)