diff --git a/_typos.toml b/_typos.toml
index a2183d6c95d..4c4cc9b1c66 100644
--- a/_typos.toml
+++ b/_typos.toml
@@ -18,6 +18,7 @@ extend-ignore-re = [
 CANN = "CANN"
 Clas = "Clas"
 arange = "arange"
+unsupport = "unsupport"
 
 # These words need to be fixed
 Accuray = "Accuray"
@@ -67,7 +68,6 @@ Traning = "Traning"
 Transfomed = "Transfomed"
 Tthe = "Tthe"
 Ture = "Ture"
-Useage = "Useage"
 Wether = "Wether"
 accordding = "accordding"
 accoustic = "accoustic"
@@ -235,10 +235,6 @@ transfered = "transfered"
 trasformed = "trasformed"
 treshold = "treshold"
 trian = "trian"
-unqiue = "unqiue"
-unsupport = "unsupport"
-updte = "updte"
-utill = "utill"
 warpped = "warpped"
 wether = "wether"
 wiht = "wiht"
diff --git a/docs/api/gen_alias_api.py b/docs/api/gen_alias_api.py
index 65820f0ec63..0a6d3b1393e 100644
--- a/docs/api/gen_alias_api.py
+++ b/docs/api/gen_alias_api.py
@@ -166,7 +166,7 @@ def generator_alias_api(self):
 
 if __name__ == "__main__":
     if len(sys.argv) != 2:
-        print("Useage:")
+        print("Usage:")
         print("python3 gen_alias_api.py path-to-paddle-root")
         sys.exit(1)
     else:
diff --git a/docs/api/gen_doc.py b/docs/api/gen_doc.py
index cdade62f415..d0ffb25fa0e 100755
--- a/docs/api/gen_doc.py
+++ b/docs/api/gen_doc.py
@@ -943,7 +943,7 @@ def shortest(api_info):
 
 def insert_suggested_names():
     """
-    add suggested_name field, updte the doc_filename, and sort the all_names and api_sketch_names.
+    add suggested_name field, update the doc_filename, and sort the all_names and api_sketch_names.
     """
 
     def sort_name_list(api_names):
diff --git a/docs/design/dist_train/distributed_architecture.md b/docs/design/dist_train/distributed_architecture.md
index 700de36c3ee..32fff6ea53b 100644
--- a/docs/design/dist_train/distributed_architecture.md
+++ b/docs/design/dist_train/distributed_architecture.md
@@ -118,7 +118,7 @@ Below are the steps that are followed :
       DataParallelism type for example, it removes the optimization operators and add a `send` OP to the
       "trainer" role, then add the optimization operators to the parameter server role within the `recv` OP.
 1. Dispatch the partitioned graph to different `RemoteExecutor` in the cluster.
-1. `RemoteExecutor` on each node run the received `ProgramDesc` utill the end.
+1. `RemoteExecutor` on each node run the received `ProgramDesc` until the end.
 
 
 ### RemoteExecutor
diff --git a/docs/dev_guides/custom_device_docs/ccl_api_cn.md b/docs/dev_guides/custom_device_docs/ccl_api_cn.md
index bd757990b03..84ddc3a3d29 100644
--- a/docs/dev_guides/custom_device_docs/ccl_api_cn.md
+++ b/docs/dev_guides/custom_device_docs/ccl_api_cn.md
@@ -30,7 +30,7 @@ C_Status (*xccl_get_unique_id)(C_CCLRootId* unique_id)
 
 ### 参数
 
-unique_id - 插件需要填充的 unqiue_id 对象。
+unique_id - 插件需要填充的 unique_id 对象。
 
 ## xccl_comm_init_rank 【optional】
 
diff --git a/docs/guides/paddle_v3_features/sot_cn.md b/docs/guides/paddle_v3_features/sot_cn.md
index 94abb970c86..36d4d6da6ac 100644
--- a/docs/guides/paddle_v3_features/sot_cn.md
+++ b/docs/guides/paddle_v3_features/sot_cn.md
@@ -16,14 +16,14 @@
 ```python
 # 一个简单的 Case 如下：
 @paddle.jit.to_static()
-def unsupport_func(x):
+def unsupported_func(x):
     x = 2 * x
     t = x.numpy() # t 依赖了 x 的值，依赖静态图的执行结果
     t = np.ones(t)
     return paddle.to_tensor(t)
 
 x = paddle.to_tensor([2])
-unsupport_func(x)  # raise error
+unsupported_func(x)  # raise error
 ```
 
 这里的 `np.ones` 因为动转静的使用，上述的 `x` 和 `t` 其实都是 `pir.Value` 类型（即 PIR 中的组网占位符），传入到 `np.ones` 中是无法获取到具体的值的，因此调用 `.numpy()` 接口时会报错。而这样的 Case 也是 AST 动转静理论上无法解决的问题，本质原因是，AST 必须要求转写的函数可以**被整图的**静态图 IR 表示。