diff --git a/site/en/tutorials/_toc.yaml b/site/en/tutorials/_toc.yaml
index d8c9e9c5694..f9a05353e39 100644
--- a/site/en/tutorials/_toc.yaml
+++ b/site/en/tutorials/_toc.yaml
@@ -127,7 +127,7 @@ toc:
   section:
   - title: "Text and natural language processing"
     path: /tutorials/text/index
-  - title: "Keras NLP"
+  - title: "Get started with KerasNLP"
     path: https://keras.io/guides/keras_nlp/getting_started/
     status: external
   - title: "Text and NLP guide"
diff --git a/site/en/tutorials/text/index.md b/site/en/tutorials/text/index.md
index b2f2503ecca..980d559809c 100644
--- a/site/en/tutorials/text/index.md
+++ b/site/en/tutorials/text/index.md
@@ -21,7 +21,7 @@ ease of use. But if you prefer not to work with the Keras API, or you need
 access to the lower-level text processing ops, you can use TensorFlow Text
 directly.
 
-## Keras NLP
+## KerasNLP
 
 The easiest way to get started processing text in TensorFlow is to use
 [KerasNLP](https://keras.io/keras_nlp/). KerasNLP is a natural language