diff --git a/deploy/cpp_infer/readme.md b/deploy/cpp_infer/readme.md
index 49dd02ccd04954e48d25b27949462b9f5966a59f..9bdd54669faec874e3cdad59f604882ab0bce010 100644
--- a/deploy/cpp_infer/readme.md
+++ b/deploy/cpp_infer/readme.md
@@ -154,18 +154,11 @@ inference/
 
 * 编译命令如下，其中Paddle C++预测库、opencv等其他依赖库的地址需要换成自己机器上的实际地址。
 
-
-```shell
-sh tools/build.sh MODE(['det', 'rec', 'system'])
-```
-其中`MODE`表示demo功能，支持3种参数，**按需选择一种参数即可**，相应解释如下：
 ```shell
-sh tools/build.sh det # 编译检测demo
-sh tools/build.sh rec # 编译识别demo
-sh tools/build.sh system # 编译串联demo（包括方向分类器）
+sh tools/build.sh
 ```
 
-此外，需要修改`tools/build.sh`中环境路径，相关内容如下：
+* 具体的，需要修改`tools/build.sh`中环境路径，相关内容如下：
 
 ```shell
 OPENCV_DIR=your_opencv_dir
@@ -177,32 +170,38 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
 其中，`OPENCV_DIR`为opencv编译安装的地址；`LIB_DIR`为下载(`paddle_inference`文件夹)或者编译生成的Paddle预测库地址(`build/paddle_inference_install_dir`文件夹)；`CUDA_LIB_DIR`为cuda库文件地址，在docker中为`/usr/local/cuda/lib64`；`CUDNN_LIB_DIR`为cudnn库文件地址，在docker中为`/usr/lib/x86_64-linux-gnu/`。**注意：以上路径都写绝对路径，不要写相对路径。**
 
 
-* 编译完成之后，会在`build`文件夹下生成一个名为`ocr_det`或`ocr_rec`或`ocr_system`的可执行文件。
+* 编译完成之后，会在`build`文件夹下生成一个名为`ppocr`的可执行文件。
 
 
 ### 运行demo
-直接运行编译好的可执行文件：```./build/ocr_***```，可获得参数信息提示。
-##### 1. 检测demo运行方式：
+
+运行方式：  
+```shell
+./build/ppocr <mode> [--param1] [--param2] [...]
+```  
+其中，`mode`为必选参数，表示选择的功能，取值范围['det', 'rec', 'system']，分别表示调用检测、识别、检测识别串联（包括方向分类器）。具体命令如下：
+
+##### 1. 只调用检测：
 ```shell
-./build/ocr_det \
+./build/ppocr det \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --image_dir=../../doc/imgs/12.jpg
 ```
-##### 2. 识别demo运行方式：
+##### 2. 只调用识别：
 ```shell
-./build/ocr_rec \
+./build/ppocr rec \
     --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer \
     --image_dir=../../doc/imgs_words/ch/
 ```
-##### 3. 串联demo运行方式：
+##### 3. 调用串联：
 ```shell
 # 不使用方向分类器
-./build/ocr_system \
+./build/ppocr system \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer \
     --image_dir=../../doc/imgs/12.jpg
 # 使用方向分类器
-./build/ocr_system \
+./build/ppocr system \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --use_angle_cls=true \
     --cls_model_dir=inference/ch_ppocr_mobile_v2.0_cls_infer \
diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md
index cd98ad1cb119f9f6294aba2797c838abc91995e0..039aecf1ba3d6c1c717bafbecdb117416a1acc32 100644
--- a/deploy/cpp_infer/readme_en.md
+++ b/deploy/cpp_infer/readme_en.md
@@ -159,13 +159,7 @@ inference/
 * The compilation commands are as follows. The addresses of Paddle C++ inference library, opencv and other Dependencies need to be replaced with the actual addresses on your own machines.
 
 ```shell
-sh tools/build.sh MODE(['det', 'rec', 'system'])
-```
-Here, `MODE` should be one of ['det', 'rec', 'system']. Choose one as your need. The explanation is as follows: 
-```shell
-sh tools/build.sh det # build demo for detection only
-sh tools/build.sh rec # build demo for recogniton only
-sh tools/build.sh system # build demo for a system (including the text direction classifier)
+sh tools/build.sh
 ```
 
 Specifically, you should modify the paths in `tools/build.sh`. The related content is as follows.
@@ -182,32 +176,37 @@ or the generated Paddle inference library path (`build/paddle_inference_install_
 `CUDA_LIB_DIR` is the cuda library file path, in docker; it is `/usr/local/cuda/lib64`; `CUDNN_LIB_DIR` is the cudnn library file path, in docker it is `/usr/lib/x86_64-linux-gnu/`.
 
 
-* After the compilation is completed, an executable file named `ocr_det` or `ocr_rec` or `ocr_system` will be generated in the `build` folder.
+* After the compilation is completed, an executable file named `ppocr` will be generated in the `build` folder.
 
 
 ### Run the demo
-* Execute the built executable file by ```./build/ocr_***```. You'll get some command line parameter information. 
-##### 1. run ocr_det demo:
+Execute the built executable file:  
+```shell
+./build/ppocr <mode> [--param1] [--param2] [...]
+```  
+Here, `mode` is a required parameter，and the value range is ['det', 'rec', 'system'], representing using detection only, using recognition only and using the end-to-end system respectively. Specifically,
+
+##### 1. run det demo:
 ```shell
-./build/ocr_det \
+./build/ppocr det \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --image_dir=../../doc/imgs/12.jpg
 ```
-##### 2. run ocr_rec demo:
+##### 2. run rec demo:
 ```shell
-./build/ocr_rec \
+./build/ppocr rec \
     --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer \
     --image_dir=../../doc/imgs_words/ch/
 ```
-##### 3. run ocr_system demo:
+##### 3. run system demo:
 ```shell
 # without text direction classifier
-./build/ocr_system \
+./build/ppocr system \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer \
     --image_dir=../../doc/imgs/12.jpg
 # with text direction classifier
-./build/ocr_system \
+./build/ppocr system \
     --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \
     --use_angle_cls=true \
     --cls_model_dir=inference/ch_ppocr_mobile_v2.0_cls_infer \