uipdate concept-receipt

Author: laujan

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

@@ -41,7 +41,7 @@ Automated invoice processing is the process of extracting key accounts payable f
 
 **Sample invoice processed with [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/connections)**:
 
-:::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 processed Contoso invoice."::: 
 
 ::: moniker-end
 
@@ -67,7 +67,7 @@ The following tools are supported by Form Recognizer v2.1:
 
 ::: moniker-end
 
-## Try Form Recognizer
+## Try invoice data extraction
 
 See how data, including customer information, vendor details, and line items, is extracted from invoices using  the Form Recognizer Studio. You'll need the following resources:
 
@@ -296,4 +296,3 @@ The JSON output has three parts:
 * 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.
 
 ::: moniker-end
-

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

@@ -38,20 +38,33 @@ Receipt digitization is the process of converting scanned receipts into digital
 
 ::: moniker-end
 
+:: moniker range="form-recog-2.1.0"
+
+**Sample invoice processed with [Form Recognizer sample labeling tool](https://fott-2-1.azurewebsites.net/connections)**:
+
+:::image type="content" source="media/receipts-example.jpg" alt-text="Screenshot of a processed receipt.":::
+
 ## Development options
 
+::: moniker range="form-recog-3.0.0"
 The following tools are supported by Form Recognizer v3.0:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
 |**Receipt model**| <ul><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com)</li><li>[**REST API**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/AnalyzeDocument)</li><li>[**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true)</li><li>[**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true)</li></ul>|**prebuilt-receipt**|
 
+::: moniker-end
+
+::: moniker range="form-recog-2.1.0"
+
 The following tools are supported by Form Recognizer v2.1:
 
 | Feature | Resources |
 |----------|-------------------------|
 |**Receipt model**| <ul><li>[**Form Recognizer labeling tool**](https://fott-2-1.azurewebsites.net/prebuilts-analyze)</li><li>[**REST API**](/azure/applied-ai-services/form-recognizer/how-to-guides/use-sdk-rest-api?view=form-recog-2.1.0&preserve-view=true&tabs=windows&pivots=programming-language-rest-api#analyze-receipts)</li><li>[**Client-library SDK**](/azure/applied-ai-services/form-recognizer/how-to-guides/v2-1-sdk-rest-api)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=receipt#run-the-container-with-the-docker-compose-up-command)</li></ul>|
 
+::: moniker-end
+
 ### Try receipt data extraction
 
 See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts using the Form Recognizer Studio. You'll need the following resources:
@@ -62,7 +75,9 @@ See how data, including time and date of transactions, merchant information, and
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-#### Form Recognizer Studio 
+::: moniker range="form-recog-3.0.0"
+
+#### Form Recognizer Studio
 
 > [!NOTE]
 > Form Recognizer studio is available with the v3.0 API.
@@ -78,10 +93,75 @@ See how data, including time and date of transactions, merchant information, and
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=receipt)
 
+::: moniker-end
+
+::: moniker range="form-recog-2.1.0"
+
+## 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 **Use prebuilt model to get data**.
+
+    :::image type="content" source="media/label-tool/prebuilt-1.jpg" alt-text="Analyze results of Form Recognizer Layout":::
+
+1. Select the **Form Type**  to analyze from the dropdown window.
+
+1. Choose a URL for the file you would like to analyze from the below options:
+
+    * [**Sample invoice document**](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/invoice_sample.jpg).
+    * [**Sample ID document**](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/DriverLicense.png).
+    * [**Sample receipt image**](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/contoso-allinone.jpg).
+    * [**Sample business card image**](https://raw.githubusercontent.com/Azure/azure-sdk-for-python/master/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_forms/business_cards/business-card-english.jpg).
+
+1. In the **Source** field, select **URL** from the dropdown menu, paste the selected URL, and select the **Fetch** button.
+
+    :::image type="content" source="media/label-tool/fott-select-url.png" alt-text="Screenshot of source location dropdown menu.":::
+
+1. In the **Form recognizer service endpoint** field, paste the endpoint that you obtained with your Form Recognizer subscription.
+
+1. In the **key** field, paste  the key you obtained from your Form Recognizer resource.
+
+    :::image type="content" source="media/fott-select-form-type.png" alt-text="Screenshot: select form type dropdown window.":::
+
+1. Select **Run analysis**. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
+
+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":::
+
+> [!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.
+
+::: moniker-end
+
 ## Input requirements
 
 [!INCLUDE [input requirements](./includes/input-requirements.md)]
 
+::: moniker range="form-recog-3.0.0"
+
+## Supported languages and locales v3.0
+
+>[!NOTE]
+> It's not necessary to specify a locale. This is an optional parameter. The Form Recognizer deep-learning technology will auto-detect the language of the text in your image.
+
+The receipt model supports all English receipts and the following locales:
+
+|Language| Locale code |
+|:-----|:----:|
+|English (Australia)|`en-au`|
+|English (Canada)|`en-ca`|
+|English (United Kingdom)|`en-gb`|
+|English (India|`en-in`|
+|English (United States)| `en-us`|
+|French | 'fr' |
+|Spanish | `es` |
+
+::: moniker-end
+
+::: moniker range="form-recog-2.1.0"
+
 ## Supported languages and locales v2.1
 
 >[!NOTE]
@@ -91,6 +171,8 @@ See how data, including time and date of transactions, merchant information, and
 |--------|:----------------------|:---------|
 |Receipt| <ul><li>English (United States)—en-US</li><li> English (Australia)—en-AU</li><li>English (Canada)—en-CA</li><li>English (United Kingdom)—en-GB</li><li>English (India)—en-IN</li></ul>  | Autodetected |
 
+::: moniker-end
+
 ## Field extraction
 
 |Name| Type | Description | Standardized output |
@@ -111,7 +193,7 @@ See how data, including time and date of transactions, merchant information, and
 | Price | Number | Individual price of each item unit| Two-decimal float |
 | TotalPrice | Number | Total price of line item | Two-decimal float |
 
-## Form Recognizer v3.0
+::: moniker range="form-recog-3.0.0"
 
  Form Recognizer v3.0 introduces several new features and capabilities. The **Receipt** model supports single-page hotel receipt processing.
 
@@ -141,20 +223,31 @@ See how data, including time and date of transactions, merchant information, and
 |--------|:----------------------|:---------|
 |Receipt (hotel) | <ul><li>English (United States)—en-US</li></ul>| English (United States)—en-US|
 
+::: moniker-end
+
+::: moniker range="form-recog-2.1.0"
+
 ### Migration guide and REST API v3.0
 
 * Follow our [**Form Recognizer v3.0 migration guide**](v3-migration-guide.md) to learn how to use the v3.0 version in your applications and workflows.
 
-* Explore our [**REST API**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/AnalyzeDocument) to learn more about the v3.0 version and new capabilities.
+::: moniker-end
 
 ## Next steps
 
-* Complete a Form Recognizer quickstart:
+::: moniker range="form-recog-3.0.0"
+
+* [Learn how to process your own forms and documents](quickstarts/try-v3-form-recognizer-studio.md) with the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio)
 
-  > [!div class="nextstepaction"]
-  > [Form Recognizer quickstart](/azure/applied-ai-services/form-recognizer/how-to-guides/v2-1-sdk-rest-api)
+* Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
 
-* Explore our REST API:
+::: moniker-end
+
+::: 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/)
+
+* 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.
+
+::: moniker-end
 
-  > [!div class="nextstepaction"]
-  > [Form Recognizer API v3.0](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/AnalyzeDocument)

articles/applied-ai-services/form-recognizer/language-support.md

@@ -223,7 +223,7 @@ Language| Locale code |
 >[!NOTE]
  > It's not necessary to specify a locale. This is an optional parameter. The Form Recognizer deep-learning technology will auto-detect the language of the text in your image.
 
-Receipt supports all English receipts with the following locales:
+Receipt supports all English receipts and the following locales:
 
 |Language| Locale code |
 |:-----|:----:|