diff --git a/doc/doc_ch/ppocr_introduction.md b/doc/doc_ch/ppocr_introduction.md
index ebde173b0b3..ce0736d91b0 100644
--- a/doc/doc_ch/ppocr_introduction.md
+++ b/doc/doc_ch/ppocr_introduction.md
@@ -51,7 +51,9 @@ PP-OCRv3系统pipeline如下：
 
 PP-OCRv4在PP-OCRv3的基础上进一步升级。整体的框架图保持了与PP-OCRv3相同的pipeline，针对检测模型和识别模型进行了数据、网络结构、训练策略等多个模块的优化。 PP-OCRv4系统框图如下所示：
 
-[![img](https://github.com/PaddlePaddle/PaddleOCR/raw/main/doc/ppocr_v4/ppocrv4_framework.png)](https://github.com/PaddlePaddle/PaddleOCR/blob/main/doc/ppocr_v4/ppocrv4_framework.png)
+<div align="center">
+    <img src="../ppocrv4_framework.png" width="800">
+</div>
 
 从算法改进思路上看，分别针对检测和识别模型，进行了共10个方面的改进：
 
diff --git a/doc/doc_en/ppocr_introduction_en.md b/doc/doc_en/ppocr_introduction_en.md
index a0cb8e85729..16a078dc024 100644
--- a/doc/doc_en/ppocr_introduction_en.md
+++ b/doc/doc_en/ppocr_introduction_en.md
@@ -51,7 +51,7 @@ For more details, please refer to [PP-OCRv3 technical report](https://arxiv.org/
 <a name="2"></a>
 ## 2. Features
 
-- Ultra lightweight PP-OCRv3 series models: detection (4.7M) + direction classifier (1.4M) + recognition 10M) = 16.1M
+- Ultra lightweight PP-OCRv4 series models: detection (4.7M) + direction classifier (1.4M) + recognition 10M) = 16.1M
 - Ultra lightweight PP-OCRv3 series models: detection (3.6M) + direction classifier (1.4M) + recognition 12M) = 17.0M
 - Ultra lightweight PP-OCRv2 series models: detection (3.1M) + direction classifier (1.4M) + recognition 8.5M) = 13.0M
 - Ultra lightweight PP-OCR mobile series models: detection (3.0M) + direction classifier (1.4M) + recognition (5.0M) = 9.4M
diff --git a/doc/ppocrv4_framework.png b/doc/ppocrv4_framework.png
new file mode 100644
index 00000000000..fa31f4c12e3
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