diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md
index 3bdc336827adb87f52e9baa2c012304595b2c656..089a63fd55bb8c127104e7c404852ba52c3ac88c 100644
--- a/PPOCRLabel/README.md
+++ b/PPOCRLabel/README.md
@@ -1,10 +1,14 @@
 English | [简体中文](README_ch.md)
 
-# PPOCRLabel
+# PPOCRLabelv2
 
-PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box, table and multi-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.
+PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.
 
-<img src="./data/gif/steps_en.gif" width="100%"/>
+|               regular text annotation               |                table annotation                |
+| :-------------------------------------------------: | :--------------------------------------------: |
+|  <img src="./data/gif/steps_en.gif" width="80%"/>   | <img src="./data/gif/table.gif" width="100%"/> |
+|            **irregular text annotation**            |         **key information annotation**         |
+| <img src="./data/gif/multi-point.gif" width="80%"/> |  <img src="./data/gif/kie.gif" width="100%"/>  |
 
 ### Recent Update
 
diff --git a/PPOCRLabel/README_ch.md b/PPOCRLabel/README_ch.md
index 107f902a68bd68b30d286e8dd88b29752f0c6ad0..3ea684a3f09a6084403fa0b91e2511b7fd790f4b 100644
--- a/PPOCRLabel/README_ch.md
+++ b/PPOCRLabel/README_ch.md
@@ -1,10 +1,14 @@
 [English](README.md) | 简体中文
 
-# PPOCRLabel
+# PPOCRLabelv2
 
 PPOCRLabel是一款适用于OCR领域的半自动化图形标注工具，内置PP-OCR模型对数据自动标注和重新识别。使用Python3和PyQT5编写，支持矩形框标注和四点标注模式，导出格式可直接用于PaddleOCR检测和识别模型的训练。
 
-<img src="./data/gif/steps.gif" width="100%"/>
+|                      常规标注                       |                    表格标注                    |
+| :-------------------------------------------------: | :--------------------------------------------: |
+|  <img src="./data/gif/steps_en.gif" width="80%"/>   | <img src="./data/gif/table.gif" width="100%"/> |
+|                 **不规则文本标注**                  |                **关键信息标注**                |
+| <img src="./data/gif/multi-point.gif" width="80%"/> |  <img src="./data/gif/kie.gif" width="100%"/>  |
 
 #### 近期更新
 - 2022.05：**新增表格标注**，使用方法见下方`2.2 表格标注`（by [whjdark](https://github.com/peterh0323); [Evezerest](https://github.com/Evezerest))
diff --git a/PPOCRLabel/setup.py b/PPOCRLabel/setup.py
index 1ec54df11a75b8a7ad8f023ca4a5b24ef5343d71..1750f84b8259a237fb6bb1b5eb9dc33e29441bc1 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='1.0.2',
+    version='2.1.1',
     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',
diff --git a/ppstructure/pdf2word/pdf2word.md b/ppstructure/pdf2word/README.md
similarity index 100%
rename from ppstructure/pdf2word/pdf2word.md
rename to ppstructure/pdf2word/README.md