Merge pull request #116734 from PatrickFarley/formre-small-tasks

[cog svcs] Formre small tasks

Author: megvanhuygen

articles/cognitive-services/form-recognizer/quickstarts/label-tool.md

@@ -139,7 +139,8 @@ Next, you'll create tags (labels) and apply them to the text elements that you w
     > * Label values as they appear on the form; don't try to split a value into two parts with two different tags. For example, an address field should be labeled with a single tag even if it spans multiple lines.
     > * Don't include keys in your tagged fields—only the values.
     > * Table data should be detected automatically and will be available in the final output JSON file. However, if the model fails to detect all of your table data, you can manually tag these fields as well. Tag each cell in the table with a different label. If your forms have tables with varying numbers of rows, make sure you tag at least one form with the largest possible table.
-    > * To delete an applied tag, select the rectangle on the document view and press the delete key.
+    > * Use the buttons to the right of the **+** to search, rename, reorder, and delete your tags.
+    > * To remove an applied tag without deleting the tag itself, select the tagged rectangle on the document view and press the delete key.
 
 ![Main editor window of sample labeling tool](../media/label-tool/main-editor.png)
 

articles/cognitive-services/form-recognizer/quickstarts/python-labeled-data.md

@@ -25,6 +25,9 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least six forms of the same type. You'll use this data to train the model and test a form. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
+> [!NOTE]
+> This quickstart uses remote documents accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/TrainCustomModelAsync).
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-layout.md

@@ -24,6 +24,10 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A form document. You can download an image from the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart.
 
+> [!NOTE]
+> This quickstart uses a locally stored document. To use learn how to use remote files accessed by URL, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeLayoutAsync).
+
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-receipts.md

@@ -25,6 +25,9 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A URL for an image of a receipt. You can use a [sample image](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/contoso-allinone.jpg) for this quickstart.
 
+> [!NOTE]
+> This quickstart uses a remote receipt accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeReceiptAsync).
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-train-extract.md

@@ -25,6 +25,10 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least five forms of the same type. You will use this data to train the model. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
+> [!NOTE]
+> This quickstart uses remote documents accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/TrainCustomModelAsync).
+
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/toc.yml

@@ -42,6 +42,8 @@
   items:
   - name: Use Form Recognizer with Logic Apps
     href: tutorial-form-recognizer-with-logic-apps.md
+  - name: Use Form Recognizer with Cognitive Search
+    href: https://docs.microsoft.com/azure/search/cognitive-search-custom-skill-form
 - name: How-to guides
   items:
   - name: Build a training data set