diff --git a/docs/source/asr/PPASR.md b/docs/source/asr/PPASR.md
new file mode 100644
index 00000000..ef22954a
--- /dev/null
+++ b/docs/source/asr/PPASR.md
@@ -0,0 +1,96 @@
+([简体中文](./PPASR.md)|English)
+# PP-ASR
+
+## Catalogue
+- [1. Introduction](#1)
+- [2. Characteristic](#2)
+- [3. Tutorials](#3)
+    - [3.1 Pre-trained Models](#31)
+    - [3.2 Training](#32)
+    - [3.3 Inference](#33)
+    - [3.4 Service Deployment](#33)
+    - [3.5 Customized Auto Speech Recognition and Deployment](#33)
+- [4. Quick Start](#4)
+
+<a name="1"></a>
+## 1. Introduction
+
+PP-ASR is a tool to provide ASR(Automatic speech recognition) function. It provides a variety of Chinese and English models and supports model training. It also supports model inference using the command line. In addition, PP-ASR supports the deployment of streaming models and customized ASR.
+
+<a name="2"></a>
+## 2. Characteristic
+The basic process of ASR is shown in the figure below:  
+<center><img src=https://user-images.githubusercontent.com/87408988/168259962-cbe2008b-47b6-443d-9566-d77a5ca2eb25.png width="800" ></center>
+
+
+The main characteristics of PP-ASR are shown below:
+-  Provides pre-trained models on Chinese/English open source datasets: aishell(Chinese), wenetspeech(Chinese) and librispeech(English). The models includes deepspeech2 and conformer/transformer.
+-  Support model training on Chinese/English datasets.
+-  Support model inference using the command line. You can use to use `paddlespeech asr --model xxx --input xxx.wav` to use pre-trained model to do model inference. 
+-  Support deployment of streaming ASR server. Besides ASR function, the server supports timestamp function.
+-  Support customized auto speech recognition and deployment.
+
+<a name="3"></a>
+## 3. Tutorials
+
+<a name="31"></a>
+## 3.1 Pre-trained Models
+The support pre-trained model list: [released_model](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/released_model.md).  
+The model with good effect are Ds2 Online Wenetspeech ASR0 Model and Conformer Online Wenetspeech ASR1 Model. Both two models support streaming ASR.  
+For more information about model design, you can refer to the aistudio tutorial:
+- [Deepspeech2](https://aistudio.baidu.com/aistudio/projectdetail/3866807)
+- [Transformer](https://aistudio.baidu.com/aistudio/projectdetail/3470110)
+
+<a name="32"></a>
+## 3.2 Training
+The reference script for model training is stored in [examples](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples) and stored according to "examples/dataset/model". The dataset mainly supports aishell and librispeech. The model supports deepspeech2 and u2(conformer/transformer).
+The specific steps of executing the script are recorded in `run.sh`.
+
+For more information, you can refer to: [asr1](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell/asr1)
+
+
+<a name="33"></a>
+## 3.3 Inference
+
+PP-ASR supports use `paddlespeech asr --model xxx --input xxx.wav` to use pre-trained model to do model inference after install `paddlespeech` by `pip install paddlespeech`.
+
+Specific supported functions include:
+
+- Prediction of single audio
+- Use pipe to predict multiple audio
+- Support RTF calculation
+
+For specific usage, please refer to: [speech_recognition](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/demos/speech_recognition/README_cn.md) 
+
+
+<a name="34"></a>
+## 3.4 Service Deployment
+
+PP-ASR supports the service deployment of streaming ASR. Support the simultaneous use of speech recognition and punctuation processing.
+
+Demo of ASR Server: [streaming_asr_server](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/demos/streaming_asr_server)
+
+![image](https://user-images.githubusercontent.com/87408988/168255342-1fc790c0-16f4-4540-a861-db239076727c.png)
+
+Display of using ASR server on Web page: [streaming_asr_demo_video](https://paddlespeech.readthedocs.io/en/latest/streaming_asr_demo_video.html)
+
+
+For more information about service deployment, you can refer to the aistudio tutorial:
+- [Streaming service - model part](https://aistudio.baidu.com/aistudio/projectdetail/3839884)
+- [Streaming service](https://aistudio.baidu.com/aistudio/projectdetail/4017905)
+
+<a name="35"></a>
+## 3.5 Customized Auto Speech Recognition and Deployment
+
+For customized auto speech recognition and deployment, PP-ASR provides feature extraction(fbank) => Inference model（Scoring Library）=> C++ program of TLG（WFST, token, lexion, grammer). For specific usage, please refer to: [speechx](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/speechx)   
+If you want to quickly use it, you can refer to: [custom_streaming_asr](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/demos/custom_streaming_asr/README_cn.md)
+
+For more information about customized auto speech recognition and deployment, you can refer to the aistudio tutorial:
+- [Customized Auto Speech Recognition](https://aistudio.baidu.com/aistudio/projectdetail/4021561)
+
+
+<a name="4"></a>
+
+## 4. Quick Start
+
+To use PP-ASR, you can see here [install](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install_cn.md), It supplies three methods to install `paddlespeech`, which are **Easy**, **Medium** and **Hard**. If you want to experience the inference function of paddlespeech, you can use **Easy** installation method.