Merging changes synced from https://github.com/MicrosoftDocs/azure-docs-pr (branch live)

Author: Banani-Rath

articles/app-service/media/quickstart-wordpress/05-wordpress-basics-instance-details.png

@@ -1,7 +1,7 @@
 ---
 title: Layouts - Form Recognizer
 titleSuffix: Azure Applied AI Services
-description: Learn concepts related to Layout API analysis with Form Recognizer API—usage and limits.
+description: Learn concepts related to the Layout API with Form Recognizer REST API usage and limits.
 author: laujan
 manager: nitinme
 ms.service: applied-ai-services
@@ -34,6 +34,7 @@ The Form Recognizer Layout API extracts text, tables, selection marks, and struc
 | Layout  | ✓  | ✓  | ✓  | ✓  | ✓  |
 
 **Supported paragraph roles**:
+The paragraph roles are best used with unstructured documents, structured documents and forms.  Roles help analyze the structure of the extracted content for better semantic search and analysis.
 
 * title
 * sectionHeading
@@ -42,8 +43,6 @@ The Form Recognizer Layout API extracts text, tables, selection marks, and struc
 * pageFooter
 * pageNumber
 
-For a richer semantic analysis, paragraph roles are best used with unstructured documents to better understand the layout of the extracted content.
-
 ## Development options
 
 The following tools are supported by Form Recognizer v2.1:

articles/applied-ai-services/form-recognizer/concept-layout.md

@@ -50,7 +50,7 @@ Try extracting text from forms and documents using the Form Recognizer Studio. Y
 ### Form Recognizer Studio (preview)
 
 > [!NOTE]
-> Form Recognizer studio is available with the preview (v3.0) API. The latest service preview is currently not enabled for analyzing Microsoft Word, Excel, PowerPoint, and HTML file formats using the Form Recognizer Studio.
+> Currently, Form Recognizer Studio doesn't support Microsoft Word, Excel, PowerPoint, and HTML file formats in the Read preview.
 
 ***Sample form processed with [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/read)***
 
@@ -69,7 +69,7 @@ Try extracting text from forms and documents using the Form Recognizer Studio. Y
 
 ## Input requirements
 
-* Supported file formats: These include JPEG/JPG, PNG, BMP, TIFF, PDF (text-embedded or scanned). Additionally, Microsoft Word, Excel, PowerPoint, and HTML files are supported with the Read API in **2022-06-30-preview**.
+* Supported file formats: These include JPEG/JPG, PNG, BMP, TIFF, PDF (text-embedded or scanned). Additionally, the newest API version `2022-06-30-preview` supports Microsoft Word (DOCX), Excel (XLS), PowerPoint (PPT), and HTML files.
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
 * The file size must be less than 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 * Image dimensions must be between 50 x 50 pixels and 10,000 x 10,000 pixels.

articles/applied-ai-services/form-recognizer/concept-read.md

@@ -173,9 +173,9 @@ sections:
           This table provides links to the latest SDK versions and shows the relationship between supported Form Recognizer SDK and API versions:
 
             | Supported Language | Azure SDK client-library|API reference |Supported API version|
-            | ----------- | --------|--------|:---------------------: |
+            | ----- | -----|-----|-----|
             | C#/.NET| [4.0.0-beta.3](https://azuresdkdocs.blob.core.windows.net/$web/dotnet/Azure.AI.FormRecognizer/4.0.0-beta.3/index.html)|[.NET SDK](/dotnet/api/azure.ai.formrecognizer.documentanalysis?view=azure-dotnet-preview&preserve-view=true) |2022-06-30, 2022-01-30, 2021-09-30-preview, v2.1, v2.0 |
-            | Java | [4.0.0-beta.4](https://azuresdkdocs.blob.core.windows.net/$web/java/azure-ai-formrecognizer/4.0.0-beta.4/index.html)|[Java SDK](/java/api/overview/azure/ai-formrecognizer-readme?view=azure-java-preview&preserve-view=true)|2022-06-30, 2022-01-30, 2021-09-30-preview, v2.1, v2.0 |
+            | Java | [4.0.0-beta.4](https://azuresdkdocs.blob.core.windows.net/$web/java/azure-ai-formrecognizer/4.0.0-beta.4/index.html)|[Java SDK](/java/api/overview/azure/ai-formrecognizer-readme?view=azure-java-preview&preserve-view=true)| 2022-06-30, 2022-01-30, 2021-09-30-preview, v2.1, v2.0 |
             | JavaScript | [4.0.0-beta.3](https://azuresdkdocs.blob.core.windows.net/$web/javascript/azure-ai-form-recognizer/4.0.0-beta.3/index.html)|[JavaScript SDK](/javascript/api/@azure/ai-form-recognizer/?view=azure-node-preview&preserve-view=true) |2022-06-30, 2022-01-30, 2021-09-30-preview, v2.1, v2.0|
             | Python | [3.2.0b3](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-formrecognizer/3.2.0b3/index.html) |[Python SDK](/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer?view=azure-python-preview&preserve-view=true) |2022-06-30, 2022-01-30, 2021-09-30-preview, v2.1, v2.0|
 
@@ -243,12 +243,12 @@ sections:
 
           - When you submit a document for analysis, all pages are analyzed unless you specify a page range with the `pages` parameter in your request.
 
-          - When analyzing Microsoft Word and HTML files with the new Read OCR model, pages are counted in blocks of 3,000 characters each. For example, if your document contains 7,000 characters, it will be counted as two pages.
+          - When analyzing Microsoft Word and HTML files with the new Read OCR model, pages are counted in blocks of 3,000 characters each. For example, if your document contains 7,000 characters, it will be counted as three pages as two pages with 3,000 characters each and one page with 1,000 characters.
 
-          - When analyzing Microsoft Excel and PowerPoint documents with the new Read OCR model, each worksheet and slide is counted as one page respectively.
-
-          - In addition, if your Microsoft Word, Excel, and PowerPoint documents have embedded images, each image will be analyzed for text extraction and counted as a page. Therefore, the total analyzed pages for Microsoft Office documents will be equal to the sum of total pages and total images analyzed.
+          - In addition, if your Microsoft Word, Excel, and PowerPoint documents have embedded images, each image will be analyzed for text extraction and counted as a page. Therefore, the total analyzed pages for Microsoft Office documents will be equal to the sum of total text pages and total images analyzed. In the previous example if the document contains 2 embedded images, the total page count in the service output will be 3 + 2 equaling five pages.
 
+          - When analyzing Microsoft Excel and PowerPoint documents with the new Read OCR model, each worksheet and slide is counted as one page respectively.
+          
           - Training a custom model is always free with Form Recognizer. You’re only charged when a model is used to analyze a document.
 
           - Container pricing is the same as cloud service pricing.
@@ -454,7 +454,7 @@ sections:
           Form Recognizer connected containers send billing information to Azure by using a Form Recognizer resource on your Azure account. Connected containers don't send customer data, such as the image or text that's being analyzed, to Microsoft. See the [Cognitive Services container FAQ](../../cognitive-services/containers/disconnected-container-faq.yml#how-does-billing-work) for an example of the information sent to Microsoft for billing.
 
       - question: |
-           I received an "OutOfQuota" error message: "Container isn't in a valid state. Subscription validation failed with status 'OutOfQuota'. Api key is out of quota".
+           I received an "OutOfQuota" error message: "Container isn't in a valid state. Subscription validation failed with status 'OutOfQuota'. API key is out of quota".
         answer: |
 
           Form Recognizer connected containers send billing information to Azure by using a Form Recognizer resource on your Azure account. You could get this message if the containers can't communicate with the billing endpoint.

articles/applied-ai-services/form-recognizer/faq.yml

@@ -19,7 +19,7 @@ ms.custom: ignite-fall-2021, mode-ui
 
 [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.
 
-:::image border="true" type="content" source="../media/quickstarts/form-recognizer-demo-v3p2.gif" alt-text="Form Recognizer Studio demo":::
+:::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.":::
 
 ## Prerequisites for new users
 
@@ -39,23 +39,25 @@ 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). 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.
+After you've completed the prerequisites, navigate to the [Form Recognizer Studio General Documents preview](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.
+
+   :::image border="true" type="content" source="../media/quickstarts/form-recognizer-general-document-demo-preview3.gif" alt-text="Selecting the General Document API to analysis a document in the Form Recognizer Studio.":::
 
 1. Select a Form Recognizer service feature from the Studio home page.
 
-1. This is a one-time step unless you've already selected the service resource from prior use. Select your Azure subscription, resource group, and resource. (You can change the resources anytime in "Settings" in the top menu.) Review and confirm your selections.
+1. This step is a one-time process unless you've already selected the service resource from prior use. Select your Azure subscription, resource group, and resource. (You can change the resources anytime in "Settings" in the top menu.) Review and confirm your selections.
 
 1. Select the Analyze command to run analysis on the sample document or try your document by using the Add command.
 
-1. Observe the highlighted extracted content in the document view. Hover your move over the keys and values to see details.
-
 1. Use the controls at the bottom of the screen to zoom in and out and rotate the document view.
 
-1. Show and hide the text, tables, and selection marks layers to focus on each one of them at a time.
+1. Observe the highlighted extracted content in the document view. Hover your move 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. Copy and download to jumpstart integration.
+1. In the output section's Result tab, browse the JSON output to understand the service response format.
 
-:::image border="true" type="content" source="../media/quickstarts/layout-get-started-v2.gif" alt-text="Form Recognizer Layout example":::
+1. In the Code tab, browse the sample code for integration. Copy and download to get started.
 
 ## Additional prerequisites for custom projects
 
@@ -70,9 +72,9 @@ A **standard performance** [**Azure Blob Storage account**](https://portal.azure
 
 ### Configure CORS
 
-[CORS (Cross Origin Resource Sharing)](/rest/api/storageservices/cross-origin-resource-sharing--cors--support-for-the-azure-storage-services) needs to be configured on your Azure storage account for it to be accessible from the Form Recognizer Studio. To configure CORS in the Azure portal, you'll need access to the CORS blade of your storage account.
+[CORS (Cross Origin Resource Sharing)](/rest/api/storageservices/cross-origin-resource-sharing--cors--support-for-the-azure-storage-services) needs to be configured on your Azure storage account for it to be accessible from the Form Recognizer Studio. To configure CORS in the Azure portal, you'll need access to the CORS tab of your storage account.
 
-1. Select the CORS blade for the storage account.
+1. Select the CORS tab for the storage account.
 
    :::image type="content" source="../media/quickstarts/cors-setting-menu.png" alt-text="Screenshot of the CORS setting menu in the Azure portal.":::
 

articles/applied-ai-services/form-recognizer/media/quickstarts/form-recognizer-demo-preview3.gif

@@ -84,7 +84,7 @@ Before you run the cURL command, make the following changes:
 #### POST request
 
 ```bash
-curl -v -i POST "{endpoint}/formrecognizer/documentModels/{modelID}:analyze?api-version=2022-06-30" -H "Content-Type: application/json" -H "Ocp-Apim-Subscription-Key: {key}" --data-ascii "{'urlSource': '{your-document-url}'}"
+curl -v -i POST "{endpoint}/formrecognizer/documentModels/{modelID}:analyze?api-version=2022-06-30-preview" -H "Content-Type: application/json" -H "Ocp-Apim-Subscription-Key: {key}" --data-ascii "{'urlSource': '{your-document-url}'}"
 ```
 
 #### Reference table
@@ -120,9 +120,9 @@ After you've called the [**Analyze document**](https://westus.dev.cognitive.micr
 
 ```bash
 <<<<<<< HEAD
-curl -v -X GET "{endpoint}/formrecognizer/documentModels/{model name}/analyzeResults/{resultId}?api-version=2022-06-30" -H "Ocp-Apim-Subscription-Key: {key}"
+curl -v -X GET "{endpoint}/formrecognizer/documentModels/{model name}/analyzeResults/{resultId}?api-version=2022-06-30-preview" -H "Ocp-Apim-Subscription-Key: {key}"
 =======
-curl -v -X GET "{endpoint}/formrecognizer/documentModels/{modelID}/analyzeResults/{resultId}?api-version=2022-01-30-preview" -H "Ocp-Apim-Subscription-Key: {key}"
+curl -v -X GET "{endpoint}/formrecognizer/documentModels/{modelID}/analyzeResults/{resultId}?api-version=2022-06-30-preview" -H "Ocp-Apim-Subscription-Key: {key}"
 >>>>>>> resolve-merge-conflict
 ```
 

articles/applied-ai-services/form-recognizer/media/quickstarts/form-recognizer-general-document-demo-preview3.gif

@@ -413,6 +413,7 @@ To help troubleshoot issues with your runbooks running on a hybrid runbook worke
 
 ## Next steps
 
+* For more information on Hybrid Runbook Worker, see [Automation Hybrid Runbook Worker](automation-hybrid-runbook-worker.md).
 * If your runbooks aren't completing successfully, review the troubleshooting guide for [runbook execution failures](troubleshoot/hybrid-runbook-worker.md#runbook-execution-fails).
 * For more information on PowerShell, including language reference and learning modules, see [PowerShell Docs](/powershell/scripting/overview).
 * Learn about [using Azure Policy to manage runbook execution](enforce-job-execution-hybrid-worker.md) with Hybrid Runbook Workers.

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

@@ -1,6 +1,6 @@
 ---
 title: Azure Automation Hybrid Runbook Worker overview
-description: This article provides an overview of the Hybrid Runbook Worker, which you can use to run runbooks on machines in your local datacenter or cloud provider.
+description: Know about Hybrid Runbook Worker. How to install and run the  runbooks on machines in your local datacenter or cloud provider.
 services: automation
 ms.subservice: process-automation
 ms.date: 11/11/2021