Update README

RapidAI · Dec 14, 2023 · c3dc9fe · c3dc9fe
1 parent 1f604a3
commit c3dc9fe
Show file tree

Hide file tree

Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/README.md b/README.md
@@ -47,7 +47,7 @@
 ### Introduction
 - The fastest running, most widely supported, completely open source and free multi-platform, multi-language OCR known to support rapid offline deployment.
 - **Supported Languages**: The default is Chinese and English, other language recognition requires self-service conversion. For specific reference [here](https://rapidai.github.io/RapidOCRDocs/docs/about_model/support_language/).
-- **Cause**: [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) is not well engineered, and to make it easier for people to do OCR inference on various ends, we converted the model in PaddleOCR to ONNX format and ported it to various platforms using `Python/C++/Java/Swift/C#`.
+- **Cause**: [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) is not well engineered, and to make it easier for people to do OCR inference on various ends, we converted the model in PaddleOCR to ONNX format and ported it to various platforms using `Python/C++/Java/C#`.
 - **Name Source**: Light, fast, economical and smart. OCR technology based on deep learning technology focuses on artificial intelligence advantages and small models, with speed as the mission and effect as the leading role.
 - **Usage**:
   - If the existing model in the repo meets the requirements → RapidOCR deployment can be used.
@@ -79,7 +79,7 @@ rapidocr_onnxruntime -img 1.jpg
 > The second line is the corresponding warehouse name. You can directly search for the name on Github.
 
 <div>
-    <img src="https://github.com/RapidAI/RapidOCRDocs/releases/download/assets/RapidOCR_RelatedProjects.png">
+    <img src="https://github.com/RapidAI/RapidOCRDocs/releases/download/assets/RapidOCR_RelatedProjectsEn.png">
 </div>
 
 ### Documentation

diff --git a/docs/README_zh.md b/docs/README_zh.md
@@ -48,7 +48,7 @@
 ### 简介
 - 💖目前已知**运行速度最快、支持最广**，完全开源免费并支持离线快速部署的多平台多语言OCR。
 - **支持的语言**: 默认是中英文，其他语言识别需要自助转换。具体参考[这里](https://rapidai.github.io/RapidOCRDocs/docs/about_model/support_language/)
-- **缘起**：[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)工程化不是太好，为了方便大家在各种端上进行OCR推理，我们将PaddleOCR中的模型转换为ONNX格式，使用`Python/C++/Java/Swift/C#` 将它移植到各个平台。
+- **缘起**：[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)工程化不是太好，为了方便大家在各种端上进行OCR推理，我们将PaddleOCR中的模型转换为ONNX格式，使用`Python/C++/Java/C#` 将它移植到各个平台。
 - **名称来源**： 轻快好省并智能。基于深度学习的OCR技术，主打人工智能优势及小模型，以速度为使命，效果为主导。
 - **使用**：
   - 如果仓库下已有模型满足要求 → RapidOCR部署使用即可。