diff --git a/ppstructure/README.md b/ppstructure/README.md
index 0303fcb43a8382693ff16df20e7511d6cc06237c..1a7ec15ea829d2d75cf7b040d7118ce4dfb1fd7d 100644
--- a/ppstructure/README.md
+++ b/ppstructure/README.md
@@ -94,7 +94,7 @@ In PPStructure, the image will be analyzed by layoutparser first. In the layout
 
 Layout analysis divides the document data into regions, including the use of Python scripts for layout analysis tools, extraction of special category detection boxes, performance indicators, and custom training layout analysis models. For details, please refer to [document](layout/README_en.md).
 
-### 2.2 Table OCR
+### 2.2 Table Structure
 
 Table OCR converts table image into excel documents, which include the detection and recognition of table text and the prediction of table structure and cell coordinates. For detailed, please refer to [document](table/README.md)
 
diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md
index 4c3d789aba1608333af1d23d275b23ff0a612af1..7bb3127f253680d219094aa5de85bd4d77015573 100644
--- a/ppstructure/table/README.md
+++ b/ppstructure/table/README.md
@@ -1,4 +1,4 @@
-# Table structure and content prediction
+# Table structure
 
 ## 1. pipeline
 The ocr of the table mainly contains three models