address PR review

Author: laujan

articles/applied-ai-services/form-recognizer/concept-business-card.md

@@ -13,7 +13,7 @@ recommendations: false
 ---
 <!-- markdownlint-disable MD033 -->
 
-# Azure Form Recognizer Business Card model
+# Azure Form Recognizer business card model
 
 ::: moniker range="form-recog-3.0.0"
 [!INCLUDE [applies to v3.0](includes/applies-to-v3-0.md)]
@@ -32,15 +32,15 @@ Business cards are a great way to represent a business or a professional. The co
 ::: moniker range="form-recog-3.0.0"
 ***Sample business card processed with [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard)***
 
-:::image type="content" source="media/studio/overview-business-card-studio.png" alt-text="sample business card" lightbox="./media/overview-business-card.jpg":::
+:::image type="content" source="media/studio/overview-business-card-studio.png" alt-text="Screenshot of a sample business card analyzed in the Form Recognizer Studio." lightbox="./media/overview-business-card.jpg":::
 
 ::: moniker-end
 
 ::: moniker range="form-recog-2.1.0"
 
-***Sample business processed with [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)***
+***Sample business processed with [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)***
 
-:::image type="content" source="media/business-card-example.jpg" alt-text="sample business card":::
+:::image type="content" source="media/business-card-example.jpg" alt-text="Screenshot of a sample business card analyzed with the Form Recognizer Sample Labeling tool.":::
 
 ::: moniker-end
 
@@ -98,13 +98,13 @@ See how data, including name, job title, address, email, and company name, is ex
 
 ::: moniker range="form-recog-2.1.0"
 
-## Form Recognizer sample labeling tool
+## Form Recognizer Sample Labeling tool
 
 1. Navigate to the [Form Recognizer Sample Tool](https://fott-2-1.azurewebsites.net/).
 
 1. On the sample tool home page, select the **Use prebuilt model to get data** tile.
 
-    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Analyze results of Form Recognizer Layout":::
+    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Screenshot of the layout model analyze results operation.":::
 
 1. Select the **Form Type**  to analyze from the dropdown menu.
 
@@ -129,7 +129,7 @@ See how data, including name, job title, address, email, and company name, is ex
 
 1. View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
 
-    :::image type="content" source="media/business-card-results.png" alt-text="Screenshot of the analyze Results for business card model":::
+    :::image type="content" source="media/business-card-results.png" alt-text="Screenshot of the business card model analyze results operation.":::
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.
@@ -232,7 +232,7 @@ See how data, including name, job title, address, email, and company name, is ex
 
 ::: moniker range="form-recog-2.1.0"
 
-* Try processing your own forms and documents with the [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)
+* Try processing your own forms and documents with the [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)
 
 * Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-2.1.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
 

articles/applied-ai-services/form-recognizer/concept-id-document.md

@@ -130,13 +130,13 @@ Extract data, including name, birth date, and expiration date, from ID documents
 
 ::: moniker range="form-recog-2.1.0"
 
-## Form Recognizer sample labeling tool
+## Form Recognizer Sample Labeling tool
 
 1. Navigate to the [Form Recognizer Sample Tool](https://fott-2-1.azurewebsites.net/).
 
 1. On the sample tool home page, select the **Use prebuilt model to get data** tile.
 
-    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Analyze results of Form Recognizer Layout":::
+    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Screenshot of the layout model analyze results operation.":::
 
 1. Select the **Form Type**  to analyze from the dropdown menu.
 
@@ -161,7 +161,7 @@ Extract data, including name, birth date, and expiration date, from ID documents
 
 1. View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
 
-    :::image type="content" source="media/id-example-drivers-license.jpg" alt-text="Analyze Results of Form Recognizer ID model":::
+    :::image type="content" source="media/id-example-drivers-license.jpg" alt-text="Screenshot of the identity model analyze results operation.":::
 
 1. Download the JSON output file to view the detailed results.
 
@@ -367,7 +367,7 @@ Below are the fields extracted per document type. The Azure Form Recognizer ID m
 
 ::: moniker range="form-recog-2.1.0"
 
-* Try processing your own forms and documents with the [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)
+* Try processing your own forms and documents with the [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)
 
 * Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-2.1.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
 

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

@@ -33,15 +33,15 @@ Automated invoice processing is the process of extracting key accounts payable f
 
 **Sample invoice processed with [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice)**:
 
-:::image type="content" source="media/studio/overview-invoices.png" alt-text="sample invoice" lightbox="media/overview-invoices-big.jpg":::
+:::image type="content" source="media/studio/overview-invoices.png" alt-text="Screenshot of a sample invoice analyzed in the Form Recognizer Studio." lightbox="media/overview-invoices-big.jpg":::
 
 ::: moniker-end
 
 ::: moniker range="form-recog-2.1.0"
 
-**Sample invoice processed with [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net)**:
+**Sample invoice processed with [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net)**:
 
-:::image type="content" source="media/invoice-example-new.jpg" alt-text="Screenshot of a processed Contoso invoice."::: 
+:::image type="content" source="media/invoice-example-new.jpg" alt-text="Screenshot of a sample invoice."::: 
 
 ::: moniker-end
 
@@ -112,13 +112,13 @@ See how data, including customer information, vendor details, and line items, is
 
 ::: moniker range="form-recog-2.1.0"
 
-## Form Recognizer sample labeling tool
+## Form Recognizer Sample Labeling tool
 
 1. Navigate to the [Form Recognizer Sample Tool](https://fott-2-1.azurewebsites.net/).
 
 1. On the sample tool home page, select the **Use prebuilt model to get data** tile.
 
-    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Analyze results of Form Recognizer Layout":::
+    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Screenshot of layout model analyze results process.":::
 
 1. Select the **Form Type**  to analyze from the dropdown menu.
 
@@ -143,7 +143,7 @@ See how data, including customer information, vendor details, and line items, is
 
 1. View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
 
-    :::image type="content" source="media/invoice-example-new.jpg" alt-text="Analyze Results of Form Recognizer invoice model":::
+    :::image type="content" source="media/invoice-example-new.jpg" alt-text="Screenshot of layout model analyze results operation.":::
 
 > [!NOTE]
 > The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.
@@ -306,7 +306,7 @@ The JSON output has three parts:
 
 ::: moniker range="form-recog-2.1.0"
 
-* Try processing your own forms and documents with the [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)
+* Try processing your own forms and documents with the [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)
 
 * Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-2.1.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
 

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

@@ -39,7 +39,7 @@ The following illustration shows the typical components in an image of a sample
 
 ***Sample form processed with [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/layout)***
 
-:::image type="content" source="media/studio/form-recognizer-studio-layout-newspaper.png" alt-text="Screenshot of sample newspaper page processed using Form Recognizer studio":::
+:::image type="content" source="media/studio/form-recognizer-studio-layout-newspaper.png" alt-text="Screenshot of sample newspaper page processed using Form Recognizer Studio.":::
 
 ## Development options
 
@@ -53,7 +53,7 @@ The following tools are supported by Form Recognizer v3.0:
 
 ::: moniker range="form-recog-2.1.0"
 
-**Sample document processed with [Form Recognizer sample labeling tool layout model](https://fott-2-1.azurewebsites.net/layout-analyze)**:
+**Sample document processed with [Form Recognizer Sample Labeling tool layout model](https://fott-2-1.azurewebsites.net/layout-analyze)**:
 
 :::image type="content" source="media/layout-tool-example.jpg" alt-text="Screenshot of a document processed with the layout model.":::
 
@@ -111,13 +111,13 @@ See how data, including text, tables, table headers, selection marks, and struct
 
 ::: moniker range="form-recog-2.1.0"
 
-## Form Recognizer sample labeling tool
+## Form Recognizer Sample Labeling tool
 
-1. Navigate to the [Form Recognizer Sample Tool](https://fott-2-1.azurewebsites.net/).
+1. Navigate to the [Form Recognizer sample tool](https://fott-2-1.azurewebsites.net/).
 
 1. On the sample tool home page, select **Use Layout to get text, tables and selection marks**.
 
-     :::image type="content" source="media/label-tool/layout-1.jpg" alt-text="Connection settings for Layout Form Recognizer tool.":::
+     :::image type="content" source="media/label-tool/layout-1.jpg" alt-text="Screenshot of connection settings for the Form Recognizer layout process.":::
 
 1. In the **Form recognizer service endpoint** field, paste the endpoint that you obtained with your Form Recognizer subscription.
 
@@ -135,7 +135,7 @@ See how data, including text, tables, table headers, selection marks, and struct
 
 1. View the results - see the highlighted text extracted, selection marks detected and tables detected.
 
-    :::image type="content" source="media/label-tool/layout-3.jpg" alt-text="Connection settings for Form Recognizer tool.":::
+    :::image type="content" source="media/label-tool/layout-3.jpg" alt-text="Screenshot of connection settings for the Form Recognizer Sample Labeling tool.":::
 
 ::: moniker-end
 
@@ -359,13 +359,13 @@ For large multi-page documents, use the `pages` query parameter to indicate spec
 
 You can specify the order in which the text lines are output with the `readingOrder` query parameter. Use `natural` for a more human-friendly reading order output as shown in the following example. This feature is only supported for Latin languages.
 
-:::image type="content" source="media/layout-reading-order-example.png" alt-text="Layout Reading order example" lightbox="../../cognitive-services/Computer-vision/Images/ocr-reading-order-example.png":::
+:::image type="content" source="media/layout-reading-order-example.png" alt-text="Screenshot of layout model reading order processing." lightbox="../../cognitive-services/Computer-vision/Images/ocr-reading-order-example.png":::
 
 ### Select page numbers or ranges for text extraction
 
 For large multi-page documents, use the `pages` query parameter to indicate specific page numbers or page ranges for text extraction. The following example shows a document with 10 pages, with text extracted for both cases - all pages (1-10) and selected pages (3-6).
 
-:::image type="content" source="./media/layout-select-pages.png" alt-text="Layout selected pages output":::
+:::image type="content" source="./media/layout-select-pages.png" alt-text="Screen shot of the layout model selected pages output.":::
 
 ## The Get Analyze Layout Result operation
 
@@ -383,7 +383,7 @@ When the **status** field has the `succeeded` value, the JSON response will incl
 
 The response includes classifying whether each text line is of handwriting style or not, along with a confidence score. This feature is only supported for Latin languages. The following example shows the handwritten classification for the text in the image.
 
-:::image type="content" source="./media/layout-handwriting-classification.png" alt-text="handwriting classification example":::
+:::image type="content" source="./media/layout-handwriting-classification.png" alt-text="Screenshot of layout model handwriting classification process.":::
 
 ### Sample JSON output
 
@@ -428,7 +428,7 @@ Layout API also extracts selection marks from documents. Extracted selection mar
 
 ::: moniker range="form-recog-2.1.0"
 
-* [Learn how to process your own forms and documents](quickstarts/try-sample-label-tool.md) with the [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)
+* [Learn how to process your own forms and documents](quickstarts/try-sample-label-tool.md) with the [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)
 
 * Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-2.1.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
 

articles/applied-ai-services/form-recognizer/concept-model-overview.md

@@ -227,9 +227,9 @@ Learn how to use Form Recognizer v3.0 in your applications by following our [**F
 
 The Layout API analyzes and extracts text, tables and headers, selection marks, and structure information from documents.
 
-***Sample document processed using the [sample labeling tool](https://fott-2-1.azurewebsites.net/layout-analyze)***:
+***Sample document processed using the [Sample Labeling tool](https://fott-2-1.azurewebsites.net/layout-analyze)***:
 
-:::image type="content" source="media/overview-layout.png" alt-text="Screenshot of layout analysis using the sample labeling tool.":::
+:::image type="content" source="media/overview-layout.png" alt-text="Screenshot of layout analysis using the Sample Labeling tool.":::
 
 > [!div class="nextstepaction"]
 >
@@ -239,9 +239,9 @@ The Layout API analyzes and extracts text, tables and headers, selection marks,
 
 The invoice model analyzes and extracts key information from sales invoices. The API analyzes invoices in various formats and extracts key information such as customer name, billing address, due date, and amount due.
 
-***Sample invoice processed using the [sample labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
+***Sample invoice processed using the [Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
 
-:::image type="content" source="./media/overview-invoices.jpg" alt-text="Screenshot of a sample invoice analysis using the sample labeling tool.":::
+:::image type="content" source="./media/overview-invoices.jpg" alt-text="Screenshot of a sample invoice analysis using the Sample Labeling tool.":::
 
 > [!div class="nextstepaction"]
 > [Learn more: invoice model](concept-invoice.md)
@@ -250,7 +250,7 @@ The invoice model analyzes and extracts key information from sales invoices. The
 
 * The receipt model analyzes and extracts key information from printed and handwritten sales receipts.
 
-***Sample receipt processed using [sample labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
+***Sample receipt processed using [Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
 
 :::image type="content" source="./media/receipts-example.jpg" alt-text="Screenshot of a sample receipt." lightbox="./media/overview-receipt.jpg":::
 
@@ -265,7 +265,7 @@ The invoice model analyzes and extracts key information from sales invoices. The
 
 * Biographical pages from international passports (excluding visa and other travel documents). The API analyzes identity documents and extracts
 
-***Sample U.S. Driver's License processed using the [sample labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
+***Sample U.S. Driver's License processed using the [Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
 
 :::image type="content" source="./media/id-example-drivers-license.jpg" alt-text="Screenshot of a sample identification card.":::
 
@@ -276,7 +276,7 @@ The invoice model analyzes and extracts key information from sales invoices. The
 
 The business card model analyzes and extracts key information from business card images.
 
-***Sample business card processed using the [sample labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
+***Sample business card processed using the [Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)***:
 
 :::image type="content" source="./media/business-card-example.jpg" alt-text="Screenshot of a sample business card.":::
 
@@ -287,7 +287,7 @@ The business card model analyzes and extracts key information from business card
 
 * Custom models analyze and extract data from forms and documents specific to your business. The API is a machine-learning program trained to recognize form fields within your distinct content and extract key-value pairs and table data. You only need five examples of the same form type to get started and your custom model can be trained with or without labeled datasets.
 
-***Sample custom model processing using the [sample labeling tool](https://fott-2-1.azurewebsites.net/)***:
+***Sample custom model processing using the [Sample Labeling tool](https://fott-2-1.azurewebsites.net/)***:
 
 :::image type="content" source="media/overview-custom.jpg" alt-text="Screenshot: Form Recognizer tool analyze-a-custom-form window.":::
 
@@ -298,7 +298,7 @@ The business card model analyzes and extracts key information from business card
 
 A composed model is created by taking a collection of custom models and assigning them to a single model built from your form types. You can assign multiple custom models to a composed model called with a single model ID. you can assign up to 100 trained custom models to a single composed model.
 
-***Composed model dialog window using the [sample labeling tool](https://formrecognizer.appliedai.azure.com/studio/customform/projects)***:
+***Composed model dialog window using the [Sample Labeling tool](https://formrecognizer.appliedai.azure.com/studio/customform/projects)***:
 
 :::image type="content" source="media/custom-model-compose.png" alt-text="Screenshot of Form Recognizer Studio compose custom model dialog window.":::
 
@@ -341,7 +341,7 @@ A composed model is created by taking a collection of custom models and assignin
 
 ::: moniker range="form-recog-2.1.0"
 
-* Try processing your own forms and documents with the [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/)
+* Try processing your own forms and documents with the [Form Recognizer Sample Labeling tool](https://fott-2-1.azurewebsites.net/)
 
 * Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-2.1.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.