diff --git a/deploy/jeston/readme.md b/deploy/jeston/readme.md
index 21c35f46b68312b639dc2f8505f568698cd2aed2..c1ff8cb721e51e3e3608c03fa91d165c6a31f1f0 100644
--- a/deploy/jeston/readme.md
+++ b/deploy/jeston/readme.md
@@ -1,14 +1,14 @@
 
-# Jeston部署PaddleOCR模型
+# Jetson部署PaddleOCR模型
 
-本节介绍PaddleOCR在Jeston NX、TX2、nano、AGX等系列硬件的部署。
+本节介绍PaddleOCR在Jetson NX、TX2、nano、AGX等系列硬件的部署。
 
 
 ## 1. 环境准备
 
-需要准备一台Jeston开发板，如果需要TensorRT预测，需准备好TensorRT环境，建议使用7.1.3版本的TensorRT；
+需要准备一台Jetson开发板，如果需要TensorRT预测，需准备好TensorRT环境，建议使用7.1.3版本的TensorRT；
 
-1. jeston安装PaddlePaddle
+1. Jetson安装PaddlePaddle
 
 PaddlePaddle下载[链接](https://www.paddlepaddle.org.cn/inference/user_guides/download_lib.html#python)
 请选择适合的您Jetpack版本、cuda版本、trt版本的安装包。
@@ -33,12 +33,12 @@ cd PaddleOCR
 pip3 install -r requirements.txt
 ```
 
-*注：jeston硬件CPU较差，依赖安装较慢，请耐心等待*
+*注：jetson硬件CPU较差，依赖安装较慢，请耐心等待*
 
 
 ## 2. 执行预测
 
-从[文档](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) 模型库中获取PPOCR模型，下面以PP-OCRv3模型为例，介绍在PPOCR模型在jeston上的使用方式：
+从[文档](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) 模型库中获取PPOCR模型，下面以PP-OCRv3模型为例，介绍在PPOCR模型在jetson上的使用方式：
 
 下载并解压PP-OCRv3模型
 ```
diff --git a/deploy/jeston/readme_en.md b/deploy/jeston/readme_en.md
index b4e183503f1d06d2b4ba8dae7fb99d1321681919..1c81395df55dca381fff1adb20451ef7252be08b 100644
--- a/deploy/jeston/readme_en.md
+++ b/deploy/jeston/readme_en.md
@@ -1,14 +1,14 @@
 
-# Jeston Deployment for PaddleOCR
+# Jetson Deployment for PaddleOCR
 
-This section introduces the deployment of PaddleOCR on Jeston NX, TX2, nano, AGX and other series of hardware.
+This section introduces the deployment of PaddleOCR on Jetson NX, TX2, nano, AGX and other series of hardware.
 
 
 ## 1. Prepare Environment
 
-You need to prepare a Jeston development hardware. If you need TensorRT, you need to prepare the TensorRT environment. It is recommended to use TensorRT version 7.1.3;
+You need to prepare a Jetson development hardware. If you need TensorRT, you need to prepare the TensorRT environment. It is recommended to use TensorRT version 7.1.3;
 
-1. Install PaddlePaddle in Jeston
+1. Install PaddlePaddle in Jetson
 
 The PaddlePaddle download [link](https://www.paddlepaddle.org.cn/inference/user_guides/download_lib.html#python)
 Please select the appropriate installation package for your Jetpack version, cuda version, and trt version. Here, we download paddlepaddle_gpu-2.3.0rc0-cp36-cp36m-linux_aarch64.whl.
@@ -32,11 +32,11 @@ cd PaddleOCR
 pip3 install -r requirements.txt
 ```
 
-*Note: Jeston hardware CPU is poor, dependency installation is slow, please wait patiently*
+*Note: Jetson hardware CPU is poor, dependency installation is slow, please wait patiently*
 
 ## 2. Perform prediction
 
-Obtain the PPOCR model from the [document](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) model library. The following takes the PP-OCRv3 model as an example to introduce the use of the PPOCR model on jeston:
+Obtain the PPOCR model from the [document](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) model library. The following takes the PP-OCRv3 model as an example to introduce the use of the PPOCR model on Jetson:
 
 Download and unzip the PP-OCRv3 models.
 ```