diff --git a/doc/doc_ch/whl.md b/doc/doc_ch/whl.md
index 1328f8c5361272d8987b8aa466daf1b966730dad..9df1791d200b031b73de2dbe83fc5bd59acc434f 100644
--- a/doc/doc_ch/whl.md
+++ b/doc/doc_ch/whl.md
@@ -134,6 +134,37 @@ paddleocr --image_dir PaddleOCR/doc/imgs_words/ch/word_1.jpg --det false
 ['韩国小馆', 0.9907421]
 ```
 
+## 自定义模型
+当内置模型无法满足需求时，需要使用到自己训练的模型。
+首先，参照[inference.md](./inference.md) 第一节转换将检测和识别模型转换为inference模型，然后按照如下方式使用
+
+### 代码使用
+```python
+from paddleocr import PaddleOCR, draw_ocr
+# 检测模型和识别模型路径下必须含有model和params文件
+ocr = PaddleOCR(det_model_dir='your_det_model_dir',rec_model_dir='your_rec_model_dir')
+img_path = 'PaddleOCR/doc/imgs/11.jpg'
+result = ocr.ocr(img_path)
+for line in result:
+    print(line)
+
+# 显示结果
+from PIL import Image
+image = Image.open(img_path).convert('RGB')
+boxes = [line[0] for line in result]
+txts = [line[1][0] for line in result]
+scores = [line[1][1] for line in result]
+im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/simfang.ttf')
+im_show = Image.fromarray(im_show)
+im_show.save('result.jpg')
+```
+
+### 通过命令行使用
+
+```bash
+paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --det_model_dir your_det_model_dir --rec_model_dir your_rec_model_dir
+```
+
 ## 参数说明
 
 | 字段                    | 说明                                                                                                                                                                                                                 | 默认值                  |
diff --git a/doc/doc_en/whl.md b/doc/doc_en/whl_en.md
similarity index 91%
rename from doc/doc_en/whl.md
rename to doc/doc_en/whl_en.md
index 2edf203742f48cb7f8d1095a363d0ebd24ae717c..3e12a9b5fadd5f522509a3c2a1a522d9cef92e1d 100644
--- a/doc/doc_en/whl.md
+++ b/doc/doc_en/whl_en.md
@@ -138,6 +138,38 @@ Output will be a list, each item contains text and recognition confidence
 ['PAIN', 0.990372]
 ```
 
+## Use custom model
+When the built-in model cannot meet the needs, you need to use your own trained model.
+First, refer to the first section of [inference_en.md](./inference_en.md) to convert your det and rec model to inference model, and then use it as follows
+
+### 1. Use by code
+
+```python
+from paddleocr import PaddleOCR,draw_ocr
+# The path of detection and recognition model must contain model and params files
+ocr = PaddleOCR(det_model_dir='your_det_model_dir',rec_model_dir='your_rec_model_dir')
+img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
+result = ocr.ocr(img_path)
+for line in result:
+    print(line)
+
+# draw result
+from PIL import Image
+image = Image.open(img_path).convert('RGB')
+boxes = [line[0] for line in result]
+txts = [line[1][0] for line in result]
+scores = [line[1][1] for line in result]
+im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/simfang.ttf')
+im_show = Image.fromarray(im_show)
+im_show.save('result.jpg')
+```
+
+### Use by command line
+
+```bash
+paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --det_model_dir your_det_model_dir --rec_model_dir your_rec_model_dir
+```
+
 ## Parameter Description
 
 | Parameter                    | Description                                                                                                                                                                                                                 | Default value                  |
diff --git a/setup.py b/setup.py
index 284091397dbb5aef15d2a16bf7d9337ed9d44980..7141f170f3afa2be5217faff66a2aeb12dbefcbe 100644
--- a/setup.py
+++ b/setup.py
@@ -21,7 +21,7 @@ with open('requirments.txt', encoding="utf-8-sig") as f:
 
 
 def readme():
-    with open('doc/doc_en/whl.md', encoding="utf-8-sig") as f:
+    with open('doc/doc_en/whl_en.md', encoding="utf-8-sig") as f:
         README = f.read()
     return README