update quick_start (#14200)

* update quick_start * update quick_start_en
PaddlePaddle · Nov 12, 2024 · 0accd26 · 0accd26
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diff --git a/docs/paddlex/quick_start.en.md b/docs/paddlex/quick_start.en.md
@@ -7,7 +7,9 @@
 ### 🛠️ Installation
 
 > ❗Before installing PaddleX, please ensure you have a basic **Python environment** (Note: Currently supports Python 3.8 to Python 3.10, with more Python versions being adapted).
+
 * **Installing PaddlePaddle**
+
 ```bash
 # cpu
 python -m pip install paddlepaddle==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/

diff --git a/docs/paddlex/quick_start.md b/docs/paddlex/quick_start.md
@@ -10,7 +10,9 @@
 ### 🛠️ 安装
 
 > ❗安装PaddleX前请先确保您有基础的**Python运行环境**。
+
 * **安装PaddlePaddle**
+
 ```bash
 # cpu
 python -m pip install paddlepaddle==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/

diff --git a/docs/ppocr/quick_start.en.md b/docs/ppocr/quick_start.en.md
@@ -4,7 +4,7 @@ comments: true
 
 # PaddleOCR Quick Start
 
-**Note:** This tutorial mainly introduces the usage of PP-OCR series models, please refer to [PP-Structure Quick Start](../ppstructure/overview.en.md) for the quick use of document analysis related functions.
+**Note:** This tutorial mainly introduces the usage of PP-OCR series models, please refer to [PP-Structure Quick Start](../ppstructure/overview.en.md) for the quick use of document analysis related functions. In addition, the All-in-One development tool PaddleX relies on the advanced technology of PaddleOCR to support low-code full-process development capabilities in the OCR field, significantly reducing development time and complexity. It also integrates the 17 models involved in text image intelligent analysis, OCR, layout parsing, table recognition, formula recognition, and seal text recognition into 6 pipelines, which can be invoked with a simple Python API. For more details, please see [Low-Code Full-Process Development](https://paddlepaddle.github.io/PaddleOCR/latest/en/paddlex/quick_start.html).
 
 ## 1. Installation
 
@@ -282,5 +282,3 @@ For a more comprehensive understanding of the slicing operation, please refer to
 ## 3. Summary
 
 In this section, you have mastered the use of PaddleOCR whl package.
-
-PaddleX provides a high-quality ecological model of the paddle. It is a one-stop full-process high-efficiency development platform for training, pressing and pushing. Its mission is to help AI technology to be implemented quickly. The vision is to make everyone an AI Developer! Currently PP-OCRv4 has been launched on PaddleX, you can enter [General OCR](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286) to experience the whole process of model training, compression and inference deployment.
diff --git a/docs/ppocr/quick_start.md b/docs/ppocr/quick_start.md
@@ -2,9 +2,11 @@
 comments: true
 ---
 
+
 # PaddleOCR 快速开始
 
-**说明：** 本文主要介绍PaddleOCR wheel包对PP-OCR系列模型的快速使用，如要体验文档分析相关功能，请参考[PP-Structure快速使用教程](../ppstructure/overview.md)。
+ **说明：** 本文主要介绍PaddleOCR wheel包对PP-OCR系列模型的快速使用。如要体验文档分析相关功能，请参考[PP-Structure快速使用教程](../ppstructure/overview.md)。此外，飞桨低代码开发工具<b>PaddleX</b>依托PaddleOCR的先进技术，支持了OCR领域的<b>低代码全流程开发能力，大幅减少开发时间和难度</b>，同时将<b>文本图像智能分析、通用OCR、通用版面解析、通用表格识别、公式识别、印章文本识别</b>涉及的17个模型整合为6条模型产线，通过极简的Python API一键调用,详情请见[低代码全流程开发](https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/quick_start.html)。
+
 
 ## 1. 安装
 
@@ -274,5 +276,3 @@ image.save("result.jpg")
 ## 3. 小结
 
 通过本节内容，相信您已经熟练掌握PaddleOCR whl包的使用方法并获得了初步效果。
-
-飞桨AI套件（PaddleX）提供了飞桨生态优质模型，是训压推一站式全流程高效率开发平台，其使命是助力AI技术快速落地，愿景是使人人成为AI Developer！目前PP-OCRv4已上线PaddleX，您可以进入[通用OCR](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286)体验模型训练、压缩和推理部署全流程。