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diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md
index b0692769a042e58dea51c33630b33ae3ff1804f8..afcbe1696bb52154129b89f9a0c18d93ac11fbbe 100644
--- a/ppstructure/table/README.md
+++ b/ppstructure/table/README.md
@@ -8,7 +8,7 @@ The ocr of the table mainly contains three models
 
 The table ocr flow chart is as follows
 
-![tableocr_pipeline](../../doc/table/tableocr_pipeline.png)
+![tableocr_pipeline](../../doc/table/tableocr_pipeline_en.jpg)
 
 1. The coordinates of single-line text is detected by DB model, and then sends it to the recognition model to get the recognition result.
 2. The table structure and cell coordinates is predicted by RARE model.
diff --git a/ppstructure/table/README_ch.md b/ppstructure/table/README_ch.md
index 1f2b8b1deee85670622882f9e664268802961771..4b912f3eb8d2b65898ab4eabe008bf50d9c07f50 100644
--- a/ppstructure/table/README_ch.md
+++ b/ppstructure/table/README_ch.md
@@ -8,7 +8,7 @@
 
 具体流程图如下
 
-![tableocr_pipeline](../../doc/table/tableocr_pipeline.png)
+![tableocr_pipeline](../../doc/table/tableocr_pipeline.jpg)
 
 1. 图片由单行文字检测检测模型到单行文字的坐标，然后送入识别模型拿到识别结果。
 2. 图片由表格结构和cell坐标预测模型拿到表格的结构信息和单元格的坐标信息。
@@ -17,7 +17,6 @@
 
 ## 2. 使用
 
-
 ### 2.1 训练
 在这一章节中，我们仅介绍表格结构模型的训练，[文字检测](../../doc/doc_ch/detection.md)和[文字识别](../../doc/doc_ch/recognition.md)的模型训练请参考对应的文档。