diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md
index 089a63fd55bb8c127104e7c404852ba52c3ac88c..9c483e1feff5a07467f7aa90343391888004bce7 100644
--- a/PPOCRLabel/README.md
+++ b/PPOCRLabel/README.md
@@ -105,9 +105,9 @@ python PPOCRLabel.py --kie True # [KIE mode] for [detection + recognition + keyw
 #### 1.2.3 Build and Install the Whl Package Locally
 Compile and install a new whl package, where 1.0.2 is the version number, you can specify the new version in 'setup.py'.
 ```bash
-cd PaddleOCR/PPOCRLabel
+cd ./PPOCRLabel
 python3 setup.py bdist_wheel
-pip3 install dist/PPOCRLabel-1.0.2-py2.py3-none-any.whl
+pip3 install dist/PPOCRLabel-2.1.2-py2.py3-none-any.whl
 ```
 
 
diff --git a/PPOCRLabel/README_ch.md b/PPOCRLabel/README_ch.md
index 767102fb1aaa696667b8e584ba8d2d1a17faa82e..afe1a08ff9c5445b2643b9453985951fcb7a90f5 100644
--- a/PPOCRLabel/README_ch.md
+++ b/PPOCRLabel/README_ch.md
@@ -104,9 +104,9 @@ python PPOCRLabel.py --lang ch
 编译与安装新的whl包，其中1.0.2为版本号，可在 `setup.py` 中指定新版本。
 
 ```bash
-cd PaddleOCR/PPOCRLabel
+cd ./PPOCRLabel
 python3 setup.py bdist_wheel 
-pip3 install dist/PPOCRLabel-1.0.2-py2.py3-none-any.whl -i https://mirror.baidu.com/pypi/simple
+pip3 install dist/PPOCRLabel-2.1.2-py2.py3-none-any.whl -i https://mirror.baidu.com/pypi/simple
 ```
 
 
diff --git a/PPOCRLabel/setup.py b/PPOCRLabel/setup.py
index 1750f84b8259a237fb6bb1b5eb9dc33e29441bc1..a112df544ee385ba3dc87ffac3e15a9dc390c4db 100644
--- a/PPOCRLabel/setup.py
+++ b/PPOCRLabel/setup.py
@@ -33,7 +33,7 @@ setup(
     package_dir={'PPOCRLabel': ''},
     include_package_data=True,
     entry_points={"console_scripts": ["PPOCRLabel= PPOCRLabel.PPOCRLabel:main"]},
-    version='2.1.1',
+    version='2.1.2',
     install_requires=requirements,
     license='Apache License 2.0',
     description='PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models',