Update README.md

README.md

@@ -22,6 +22,8 @@ library_name: transformers
     👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-OCR/refs/heads/main/resources/wechat.jpg" target="_blank">WeChat</a> and <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community
     <br>
     📍 Use GLM-OCR's <a href="https://docs.z.ai/guides/vlm/glm-ocr" target="_blank">API</a>
+    <br>
+    👉 <a href="https://github.com/zai-org/GLM-OCR" target="_blank">GLM-OCR SDK</a> Recommended
 </p>
 
 
@@ -59,6 +61,13 @@ For speed, we compared different OCR methods under identical hardware and testin
 
 ## Usage
 
+### Official SDK
+
+For document parsing tasks, we strongly recommend using our [official SDK](https://github.com/zai-org/GLM-OCR).
+Compared with model-only inference, the SDK integrates PP-DocLayoutV3 and provides a complete, easy-to-use pipeline for document parsing, including layout analysis and structured output generation. This significantly reduces the engineering overhead required to build end-to-end document intelligence systems.
+
+Note that the SDK is currently designed for document parsing tasks only. For information extraction tasks, please refer to the following section and run inference directly with the model.
+
 ### vLLM
 
 1. run 
@@ -200,10 +209,6 @@ GLM-OCR currently supports two types of prompt scenarios:
 
 ⚠️ Note: When using information extraction, the output must strictly adhere to the defined JSON schema to ensure downstream processing compatibility.
 
-## GLM-OCR SDK
-
-We provide an easy-to-use SDK for using GLM-OCR more efficiently and conveniently. please check our [github](https://github.com/zai-org/GLM-OCR) to get more detail.
-
 ## Acknowledgement
 
 This project is inspired by the excellent work of the following projects and communities: