Merge pull request #208572 from laujan/release-form-recognizer-v3-ga-six

Release form recognizer v3 ga six

Author: v-ccolin

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

@@ -35,7 +35,6 @@ The following tools are supported by Form Recognizer v2.1:
 |----------|-------------------------|
 |**Business card model**|  <ul><li>[**Form Recognizer labeling tool**](https://fott-2-1.azurewebsites.net/prebuilts-analyze)</li><li>[**REST API**](quickstarts/try-sdk-rest-api.md?pivots=programming-language-rest-api#analyze-business-cards)</li><li>[**Client-library SDK**](quickstarts/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=business-card#run-the-container-with-the-docker-compose-up-command)</li></ul>|
 
-
 ### Try Form Recognizer
 
 See how data, including name, job title, address, email, and company name, is extracted from business cards using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following resources:
@@ -46,7 +45,7 @@ See how data, including name, job title, address, email, and company name, is ex
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-#### Form Recognizer Studio 
+#### Form Recognizer Studio
 
 > [!NOTE]
 > Form Recognizer studio is available with the v3.0 API.
@@ -62,19 +61,6 @@ See how data, including name, job title, address, email, and company name, is ex
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard)
 
-#### Sample Labeling tool (API v2.1)
-
-You'll need a business card document. You can use our [sample business card document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/businessCard.png).
-
-  1. On the Sample Labeling tool home page, select **Use prebuilt model to get data**.
-
-  1. Select **Business card** from the **Form Type** dropdown menu:
-
-      :::image type="content" source="media/try-business-card.png" alt-text="Screenshot: Sample Labeling tool dropdown prebuilt model selection menu.":::
-
-      > [!div class="nextstepaction"]
-      > [Try Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)
-
 ## Input requirements
 
 * For best results, provide one clear photo or high-quality scan per document.

articles/applied-ai-services/form-recognizer/concept-custom-template.md

@@ -41,7 +41,7 @@ Template models rely on a defined visual template, changes to the template will
 
 ## Training a model
 
-Template models are available generally [v2.1 API](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-1/operations/AnalyzeWithCustomForm) and [v3.0 API](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/BuildDocumentModel). If you're starting with a new project or have an existing labeled dataset, work with the v3 API and Form Recognizer Studio to train a custom template model.
+Template models are available generally [v3.0 API](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/BuildDocumentModel) and  [v2.1 API](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-1/operations/AnalyzeWithCustomForm). If you're starting with a new project or have an existing labeled dataset, work with the v3 API and Form Recognizer Studio to train a custom template model.
 
 | Model | REST API | SDK | Label and Test Models|
 |--|--|--|--|

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

@@ -68,17 +68,18 @@ The table below compares custom template and custom neural features:
 
 ## Custom model tools
 
-The following tools are supported by Form Recognizer v2.1:
+The following tools are supported by Form Recognizer v3.0:
 
 | Feature | Resources | Model ID|
 |---|---|:---|
-|Custom model| <ul><li>[Form Recognizer labeling tool](https://fott-2-1.azurewebsites.net)</li><li>[REST API](quickstarts/try-sdk-rest-api.md?pivots=programming-language-rest-api#analyze-forms-with-a-custom-model)</li><li>[Client library SDK](quickstarts/try-sdk-rest-api.md)</li><li>[Form Recognizer Docker container](containers/form-recognizer-container-install-run.md?tabs=custom#run-the-container-with-the-docker-compose-up-command)</li></ul>|***custom-model-id***|
+|Custom model| <ul><li>[Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)</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-v3-sdk-rest-api.md)</li><li>[Python SDK](quickstarts/get-started-v3-sdk-rest-api.md)</li></ul>|***custom-model-id***|
 
-The following tools are supported by Form Recognizer v3.0:
+The following tools are supported by Form Recognizer v2.1:
 
 | Feature | Resources | Model ID|
 |---|---|:---|
-|Custom model| <ul><li>[Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)</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-v3-sdk-rest-api.md)</li><li>[Python SDK](quickstarts/get-started-v3-sdk-rest-api.md)</li></ul>|***custom-model-id***|
+|Custom model| <ul><li>[Form Recognizer labeling tool](https://fott-2-1.azurewebsites.net)</li><li>[REST API](quickstarts/try-sdk-rest-api.md?pivots=programming-language-rest-api#analyze-forms-with-a-custom-model)</li><li>[Client library SDK](quickstarts/try-sdk-rest-api.md)</li><li>[Form Recognizer Docker container](containers/form-recognizer-container-install-run.md?tabs=custom#run-the-container-with-the-docker-compose-up-command)</li></ul>|***custom-model-id***|
+
 
 ### Try Form Recognizer
 
@@ -109,17 +110,6 @@ Try extracting data from your specific or unique documents using custom models.
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)
 
-#### Sample Labeling tool (API v2.1)
-
-
-|Feature    |Custom Template | Custom Neural |
-|-----------|-----------------|-----------------------|
-|Document structure |Template, fixed form, and structured documents.| Structured, semi-structured, and unstructured documents.|
-|Training time | 1 - 5 minutes | 20 - 60 minutes |
-|Data extraction| Key-value pairs, tables, selection marks, signatures, and regions| Key-value pairs and selections marks.|
-|Models per Document type | Requires one model per each document-type variation| Supports a single model for all document-type variations.|
-|Language support| See [custom template model language support](language-support.md)| The custom neural model currently supports English-language documents only.|
-
 ## Model capabilities
 
 This table compares the supported data extraction areas:

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

@@ -37,7 +37,7 @@ The following tools are supported by Form Recognizer v2.1:
 
 ### Try Form Recognizer
 
-Extract data, including name, birth date, machine-readable zone, and expiration date, from ID documents using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following resources:
+Extract data, including name, birth date, machine-readable zone, and expiration date, from ID documents using the Form Recognizer Studio. You'll need the following resources:
 
 * An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
 

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

@@ -38,7 +38,7 @@ The following tools are supported by Form Recognizer v2.1:
 
 ### Try Form Recognizer
 
-See how data, including customer information, vendor details, and line items, is extracted from invoices using  the Form Recognizer Studio or our Sample Labeling tool. You'll need the following resources:
+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:
 
 * An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
 
@@ -59,21 +59,6 @@ See how data, including customer information, vendor details, and line items, is
 > [!div class="nextstepaction"]
 > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice)
 
-#### Sample Labeling tool (API v2.1)
-> [!NOTE]
-> Unless you must use API v2.1, it is strongly suggested that you use the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com) for testing purposes instead of the sample labeling tool.
-
-You'll need an invoice document. You can use our [sample invoice document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-invoice.pdf).
-
-1. On the Sample Labeling tool home page, select **Use prebuilt model to get data**.
-
-1. Select **Invoice** from the **Form Type** dropdown menu:
-
-    :::image type="content" source="media/try-invoice.png" alt-text="Screenshot: Sample Labeling tool dropdown prebuilt model selection menu.":::
-
-    > [!div class="nextstepaction"]
-    > [Try Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)
-
 ## Input requirements
 
 [!INCLUDE [input requirements](./includes/input-requirements.md)]

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

@@ -36,10 +36,9 @@ The following tools are supported by Form Recognizer v2.1:
 |----------|-------------------------|
 |**Receipt model**| <ul><li>[**Form Recognizer labeling tool**](https://fott-2-1.azurewebsites.net/prebuilts-analyze)</li><li>[**REST API**](quickstarts/try-sdk-rest-api.md?pivots=programming-language-rest-api#analyze-receipts)</li><li>[**Client-library SDK**](quickstarts/try-sdk-rest-api.md)</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>|
 
-
 ### Try Form Recognizer
 
-See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following resources:
+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:
 
 * An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
 
@@ -63,19 +62,6 @@ 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)
 
-#### Sample Labeling tool (API v2.1)
-
-You'll need a receipt document. You can use our [sample receipt document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/contoso-receipt.png).
-
-1. On the Sample Labeling tool home page, select **Use prebuilt model to get data**.
-
-1. Select **Receipt** from the **Form Type** dropdown menu:
-
-      :::image type="content" source="media/try-receipt.png" alt-text="Screenshot: Sample Labeling tool dropdown prebuilt model selection menu.":::
-
-      > [!div class="nextstepaction"]
-      > [Try Sample Labeling tool](https://fott-2-1.azurewebsites.net/prebuilts-analyze)
-
 ## Input requirements
 
 [!INCLUDE [input requirements](./includes/input-requirements.md)]

articles/applied-ai-services/form-recognizer/create-sas-tokens.md

@@ -167,12 +167,6 @@ To use your SAS URL with the [REST API](https://westus.dev.cognitive.microsoft.c
   }
   ```
 
-### Sample Labeling Tool
-
-To use your SAS URL with the [Form Recognizer labeling tool](https://fott-2-1.azurewebsites.net/connections/create), add the SAS URL to the **Connection Settings** → **Azure blob container** → **SAS URI** field:
-
-  :::image type="content" source="media/sas-tokens/fott-add-sas-uri.png" alt-text="Screenshot that shows the SAS URI field.":::
-
 That's it! You've learned how to create SAS tokens to authorize how clients access your data.
 
 ## Next step

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

@@ -7,7 +7,7 @@ metadata:
   ms.service: applied-ai-services
   ms.subservice: forms-recognizer
   ms.topic: faq
-  ms.date: 08/1/2022
+  ms.date: 08/22/2022
   ms.author: lajanuar
 
 title: Form Recognizer frequently asked questions

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

@@ -166,22 +166,4 @@ landingContent:
              url: /legal/cognitive-services/form-recognizer/fr-data-privacy-security?context=/azure/applied-ai-services/form-recognizer/context/context
 
 
-# Card 6
-   - title: Sample labeling tool (v2.1)
-     linkLists:
-      - linkListType: overview
-        links:
-        - text: Deploy the Sample labeling tool
-          url: deploy-label-tool.md
-      - linkListType: get-started
-        links:
-          - text: Custom model
-            url: "concept-custom.md#sample-labeling-tool-api-v21"
-          - text:  Invoice model
-            url: "concept-invoice.md#sample-labeling-tool-api-v21"
-          - text:  Receipt model
-            url: "concept-receipt.md#sample-labeling-tool-api-v21"
-          - text:  Business card model
-            url: "concept-business-card.md#sample-labeling-tool-api-v21"
-
 

articles/applied-ai-services/form-recognizer/managed-identities-secured-access.md

@@ -17,7 +17,7 @@ This how-to guide will walk you through the process of enabling secure connectio
 
 * Communication between a client application within a Virtual Network (VNET) and your Form Recognizer Resource.
 
-* Communication between Form Recognizer Studio or the sample labeling tool (FOTT) and your Form Recognizer resource.
+* Communication between Form Recognizer Studio and your Form Recognizer resource.
 
 * Communication between your Form Recognizer resource and a storage account (needed when training a custom model).