Merge pull request #202506 from laujan/patch-96

Update try-v3-form-recognizer-studio.md

Author: PRMerger13

articles/applied-ai-services/form-recognizer/quickstarts/try-v3-form-recognizer-studio.md

@@ -17,7 +17,7 @@ ms.custom: ignite-fall-2021, mode-ui
 >[!NOTE]
 > Form Recognizer Studio is currently in public preview. Some features may not be supported or have limited capabilities.
 
-[Form Recognizer Studio preview](https://formrecognizer.appliedai.azure.com/) is an online tool for visually exploring, understanding, and integrating features from the Form Recognizer service in your applications. Get started with exploring the pre-trained models with sample documents or your own. Create projects to build custom template models and reference the models in your applications using the [Python SDK preview](try-v3-python-sdk.md) and other quickstarts.
+[Form Recognizer Studio preview](https://formrecognizer.appliedai.azure.com/) is an online tool for visually exploring, understanding, and integrating features from the Form Recognizer service in your applications. You can get started by exploring the pre-trained models with sample or your own documents. You can also create projects to build custom template models and reference the models in your applications using the [Python SDK preview](try-v3-python-sdk.md) and other quickstarts.
 
 :::image border="true" type="content" source="../media/quickstarts/form-recognizer-demo-preview3.gif" alt-text="Selecting the Layout API to analyze a newspaper document in the Form Recognizer Studio.":::
 
@@ -39,7 +39,7 @@ Prebuilt models help you add Form Recognizer features to your apps without havin
 * [**ID document**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=idDocument): extract text and key information from driver licenses and international passports.
 * [**Business card**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard): extract text and key information from business cards.
 
-After you've completed the prerequisites, navigate to the [Form Recognizer Studio General Documents preview](https://formrecognizer.appliedai.azure.com). 
+After you've completed the prerequisites, navigate to [Form Recognizer Studio General Documents](https://formrecognizer.appliedai.azure.com). 
 
 In the following example, we use the General Documents feature. The steps to use other pre-trained features like [W2 tax form](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=tax.us.w2), [Read](https://formrecognizer.appliedai.azure.com/studio/read), [Layout](https://formrecognizer.appliedai.azure.com/studio/layout), [Invoice](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice), [Receipt](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=receipt), [Business card](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard), and [ID documents](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=idDocument) models are similar.
 
@@ -53,7 +53,7 @@ In the following example, we use the General Documents feature. The steps to use
 
 1. Use the controls at the bottom of the screen to zoom in and out and rotate the document view.
 
-1. Observe the highlighted extracted content in the document view. Hover your move over the keys and values to see details.
+1. Observe the highlighted extracted content in the document view. Hover your mouse over the keys and values to see details.
 
 1. In the output section's Result tab, browse the JSON output to understand the service response format.