added all screenshots, completed PII

Author: jboback

articles/ai-services/language-service/key-phrase-extraction/how-to/call-api.md

@@ -19,7 +19,7 @@ The key phrase extraction feature can evaluate unstructured text, and for each d
 This feature is useful if you need to quickly identify the main points in a collection of documents. For example, given input text "*The food was delicious and the staff was wonderful*", the service returns the main topics: "*food*" and "*wonderful staff*".
 
 > [!TIP]
-> If you want to start using this feature, you can follow the [quickstart article](../quickstart.md) to get started. You can also make example requests using [Language Studio](../../language-studio.md) without needing to write code.
+> If you want to start using this feature, you can follow the [quickstart article](../quickstart.md) to get started. You can also make requests using [Azure AI Foundry](../../../../ai-studio//what-is-ai-studio.md) without needing to write code.
 
 ## Development options
 

articles/ai-services/language-service/key-phrase-extraction/includes/development-options.md

@@ -13,6 +13,6 @@ To use key phrase extraction, you submit raw unstructured text for analysis and
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/keyPhrases) or [language studio quickstart](../../language-studio.md).         |
+|Azure AI Foundry     | Azure AI Foundry is a web-based platform that lets you use entity linking with text examples with your own data when you sign up. For more information, see the [Azure AI Foundry website](https://ai.azure.com) or [Azure AI Foundry documentation](../../../../ai-studio/what-is-ai-studio.md).         |
 |REST API or Client library (Azure SDK)      | Integrate key phrase extraction into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [key phrase extraction quickstart](../quickstart.md).        |
 | Docker container | Use the available Docker container to [deploy this feature on-premises](../how-to/use-containers.md). These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons. |

articles/ai-services/language-service/key-phrase-extraction/media/quickstarts/azure-ai-foundry/foundry-playground-navigation.png

@@ -39,5 +39,5 @@ An AI system includes not only the technology, but also the people who will use
 ## Next steps
 
 There are two ways to get started using the entity linking feature:
-* [Language Studio](../language-studio.md), which is a web-based platform that enables you to try several Azure AI Language features without needing to write code.
+* [Azure AI Foundry](../../../ai-studio/what-is-ai-studio.md.md) is a web-based platform that lets you to use several Azure AI Language features without needing to write code.
 * The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.  

articles/ai-services/language-service/key-phrase-extraction/media/quickstarts/azure-ai-foundry/key-phrase-extraction.png

@@ -0,0 +1,57 @@
+---
+author: jboback
+manager: nitinme
+ms.service: azure-ai-language
+ms.topic: include
+ms.date: 02/16/2025
+ms.author: jboback
+ms.custom: language-service-pii
+---
+
+## Prerequisites
+
+* [Create a Project in Foundry in the Azure AI Foundry Portal](../../../../../ai-studio/how-to/create-projects?tabs=ai-studio.md)
+
+## Navigate to the Azure AI Foundry Playground
+
+Using the left side pane, select **Playgrounds**. Then select the **Try the Language Playground** button.
+
+:::image type="content" source="media/quickstarts/foundry/foundry-playground-navigation.png" alt-text="The development lifecycle" lightbox="media/quickstarts/foundry/foundry-playground-navigation.png":::
+
+## Use NER in the Azure AI Foundry Playground
+
+The **Language Playground** consists of four sections:
+
+* Top banner: You can select any of the currently available Language services here.
+* Right pane: This pane is where you can find the **Configuration** options for the service, such as the API and model version, along with features specific to the service.
+* Center pane: This pane is where you enter your text for processing. After the operation is run, some results are shown here.
+* Right pane: This pane is where **Details** of the run operation are shown.
+
+Here you can select the Named Entity Recognition capability from the top banner tiles, **Extract Named Entities**.
+
+## Use Extract Named Entities
+
+**Extract Named Entities** is designed to identify named entities in text.
+
+In **Configuration** there are the following options:
+
+|Option              |Description                              |
+|--------------------|-----------------------------------------|
+|Select API version  | Select which version of the API to use.    |
+|Select model version| Select which version of the model to use.|
+|Select text language| Select which language the language is input in.|
+|Select types to include| Select they types of information you want to extract.|
+|Overlap policy| Select the policy for overlapping entities.|
+|Inference options| Additional options to customize the return of the processed data.|
+
+After your operation is completed, the type of entity is displayed beneath each entity in the center pane and the **Details** section contains the following fields for each entity:
+
+|Field | Description                |
+|------|----------------------------|
+|Entity|The detected entity.|
+|Category| The type of entity that was detected.|
+|Offset| The number of characters that the entity was detected from the beginning of the line.|
+|Length| The character length of the entity.|
+|Confidence| How confident the model is in the correctness of identification of entity's type.|
+
+:::image type="content" source="media/quickstarts/foundry/conversation-pii.png" alt-text="The development lifecycle" lightbox="media/quickstarts/foundry/conversation-pii.png":::