diff --git a/doc/doc_ch/models_list.md b/doc/doc_ch/models_list.md
index efb75f86734a1200ef9ed0a53747e569c6414663..d647d032674693466525d12c25b15c961e0eb86f 100644
--- a/doc/doc_ch/models_list.md
+++ b/doc/doc_ch/models_list.md
@@ -1,5 +1,9 @@
 ## OCR模型列表（V2.0，2021年1月20日更新）
-**说明** ：2.0版模型和[1.1版模型](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md)的主要区别在于动态图训练vs.静态图训练，模型性能上无明显差距。
+
+> **说明**
+> 1. 2.0版模型和[1.1版模型](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md)的主要区别在于动态图训练vs.静态图训练，模型性能上无明显差距。
+> 2. 本文档提供的是PPOCR自研模型列表，更多基于公开数据集的算法介绍与预训练模型可以参考：[算法概览文档](./algorithm_overview.md)。
+
 
 - [一、文本检测模型](#文本检测模型)
 - [二、文本识别模型](#文本识别模型)
diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md
index 577f2aa5e334f347065a70e2647f1ed9f5634b0c..e0163972b94ddfde8215cd323e2ba037752d3b4c 100644
--- a/doc/doc_en/models_list_en.md
+++ b/doc/doc_en/models_list_en.md
@@ -1,5 +1,7 @@
 ## OCR model list（V2.0, updated on 2021.1.20）
-**Note** : Compared with [models 1.1](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md), which are trained with static graph programming paradigm, models 2.0 are the dynamic graph trained version and achieve close performance.
+> **Note**
+> 1. Compared with [models 1.1](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md), which are trained with static graph programming paradigm, models 2.0 are the dynamic graph trained version and achieve close performance.
+> 2. All models in this tutorial are all ppocr-series models, for more introduction of algorithms and models based on public dataset, you can refer to [algorithm overview tutorial](./algorithm_overview_en.md).
 
 - [1. Text Detection Model](#Detection)
 - [2. Text Recognition Model](#Recognition)