@@ -5,7 +5,7 @@ ms.topic: how-to
 author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
-ms.date: 07/11/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -16,7 +16,7 @@ ms.author: lajanuar
  [!INCLUDE [applies to v4.0 v3.1 v3.0 v2.1](../includes/applies-to-v40-v31-v30-v21.md)]
 ::: moniker-end
 
-In this article, learn how to create user delegation, shared access signature (SAS) tokens, using the Azure portal or Azure Storage Explorer. User delegation SAS tokens are secured with Microsoft Entra credentials. SAS tokens provide secure, delegated access to resources in your Azure storage account.
+In this article, learn how to create user delegation, shared access signature (SAS) tokens, using either the Azure portal or Azure Storage Explorer. User delegation SAS tokens are secured with Microsoft Entra credentials. SAS tokens provide secure, delegated access to resources in your Azure storage account.
 
   :::image type="content" source="../media/sas-tokens/sas-url-token.png" alt-text="Screenshot of storage URI with SAS token appended.":::
 
@@ -81,7 +81,10 @@ To get started, you need:
    > [!NOTE]
    > By default, the REST API uses documents located at the root of your container. You can also use data organized in subfolders if specified in the API call. For more information, see [Organize your data in subfolders](../how-to-guides/build-a-custom-model.md?view=doc-intel-2.1.0&preserve-view=true#organize-your-data-in-subfolders-optional).
 
-## Use the Azure portal
+## Generating SAS tokens
+Once the prerequisites are met and you upload your documents, you can now generate SAS tokens. There are two paths you can take from here; one using the Azure portal and the other using the Azure storage explorer. Select between the two following tabs for more information.
+
+### [**Azure Portal**](#tab/azure-portal)
 
 The Azure portal is a web-based console that enables you to manage your Azure subscription and resources using a graphical user interface (GUI).
 
@@ -128,17 +131,17 @@ The Azure portal is a web-based console that enables you to manage your Azure su
 
 1. To [construct a SAS URL](#use-your-sas-url-to-grant-access), append the SAS token (URI) to the URL for a storage service.
 
-## Use Azure Storage Explorer
+### [**Azure Storage Explorer**](#tab/azure-storage-explorer)
 
 Azure Storage Explorer is a free standalone app that enables you to easily manage your Azure cloud storage resources from your desktop.
 
-### Get started
+#### Get started
 
 * You need the [**Azure Storage Explorer**](/azure/vs-azure-tools-storage-manage-with-storage-explorer) app installed in your Windows, macOS, or Linux development environment.
 
 * After the Azure Storage Explorer app is installed, [connect it the storage account](/azure/vs-azure-tools-storage-manage-with-storage-explorer?tabs=windows#connect-to-a-storage-account-or-service) you're using for Document Intelligence.
 
-### Create your SAS tokens
+#### Create your SAS tokens
 
 1. Open the Azure Storage Explorer app on your local machine and navigate to your connected **Storage Accounts**.
 1. Expand the Storage Accounts node and select **Blob Containers**.

@@ -6,7 +6,7 @@ author: erindormier
 manager: venkyv
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 monikerRange: '<=doc-intel-4.0.0'
 ---
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: vikurpad
 monikerRange: '<=doc-intel-4.0.0'
 ---
@@ -183,7 +183,7 @@ Next, configure the virtual network to ensure only resources within the virtual
 
     * Select **Next: Resource**.
 
-    :::image type="content" source="../media/managed-identities/v2-fr-private-end-basics.png" alt-text="Screenshot showing how to set-up a private endpoint.":::
+    :::image type="content" source="../media/managed-identities/v2-fr-private-end-basics.png" alt-text="Screenshot showing how to set up a private endpoint.":::
 
 ### Configure your virtual network
 
@@ -263,7 +263,7 @@ That's it! You can now configure secure access for your Document Intelligence re
    :::image type="content" source="../media/managed-identities/cors-error.png" alt-text="Screenshot of error message when CORS config is required.":::
 
   **Resolution**:
-    1. [Configure CORS](../quickstarts/try-document-intelligence-studio.md#configure-cors).
+    1. [Configure CORS](../quickstarts/studio-custom-project.md#configure-cors).
  
     1. Make sure the client computer can access Document Intelligence resource and storage account, either they are in the same `VNET`, or client IP address is allowed in **Networking > Firewalls and virtual networks** setting page of both Document Intelligence resource and storage account.
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '<=doc-intel-4.0.0'
 ---

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 10/03/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -20,8 +20,8 @@ A confidence score indicates probability by measuring the degree of statistical
 
 > [!NOTE]
 >
-> * Field level confidence is getting update to take into account word confidence score starting with **2024-07-31-preview** API version for **custom models**.
-> * Confidence scores for tables, table rows and table cells are available starting with the **2024-07-31-preview** API version for **custom models**.
+> * Field level confidence includes word confidence scores with **2024-11-30 (GA)** API version for **custom models**.
+> * Confidence scores for tables, table rows, and table cells are available starting with the **2024-11-30 (GA)** API version for **custom models**.
 
 Document Intelligence analysis results return an estimated confidence for predicted words, key-value pairs, selection marks, regions, and signatures. Currently, not all document fields return a confidence score.
 
@@ -95,7 +95,7 @@ Variances in the visual structure of your documents affect the accuracy of your
 
 ## Table, row, and cell confidence
 
-With the addition of table, row and cell confidence with the ```2024-02-29-preview``` API and onward, here are some common questions that should help with interpreting the table, row, and cell scores:
+Here are some common questions that should help with interpreting the table, row, and cell scores:
 
 **Q:** Is it possible to see a high confidence score for cells, but a low confidence score for the row?<br>
 

@@ -6,7 +6,7 @@ author: jaep3347
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '>=doc-intel-3.1.0'
 ---
@@ -17,14 +17,13 @@ monikerRange: '>=doc-intel-3.1.0'
 
 # Document Intelligence add-on capabilities
 
-::: moniker range="doc-intel-4.0.0"
-[!INCLUDE [preview-version-notice](../includes/preview-notice.md)]
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru)
+
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru)
 :::moniker-end
 
 :::moniker range="doc-intel-3.1.0"
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** | **Latest version:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** | **Latest version:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (GA)**](?view=doc-intel-4.0.0&preserve-view=true)
 :::moniker-end
 
 :::moniker range="doc-intel-3.1.0"
@@ -48,35 +47,22 @@ Document Intelligence supports more sophisticated and modular analysis capabilit
 
 * [`languages`](#language-detection)
 
-For `2024-07-31-preview` release and later, the Read model supports searchable PDF output:
-
-* [`Searchable PDF](#searchable-pdf)
+* [`Searchable PDF` support](#searchable-pdf)
 
-:::moniker-end
+* [`queryFields`](#query-fields)
 
-:::moniker range="doc-intel-4.0.0"
+* [`keyValuePairs`](#key-value-pairs)
 
 > [!NOTE]
 >
 > * Not all add-on capabilities are supported by all models. For more information, *see* [model data extraction](../model-overview.md#model-analysis-features).
 >
 > * Add-on capabilities are currently not supported for Microsoft Office file types.
-
-Document Intelligence supports optional features that can be enabled and disabled depending on the document extraction scenario. The following add-on capabilities are available for `2023-10-31-preview`, and later releases:
-
-* [`keyValuePairs`](#key-value-pairs)
-
-* [`queryFields`](#query-fields)
-
-> [!NOTE]
->
-> The query fields implementation in the 2023-10-30-preview API is different from the last preview release. The new implementation is less expensive and works well with structured documents.
-
-::: moniker-end
+:::moniker-end
 
 ## Version availability
 
-|Add-on Capability| Add-On/Free|[2024-02-29-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true)|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
+|Add-on Capability| Add-On/Free|**2024-11-30 (GA)**|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
 |----------------|-----------|---|--|---|---|
 |Font property extraction|Add-On| ✔️| ✔️| n/a| n/a|
 |Formula extraction|Add-On| ✔️| ✔️| n/a| n/a|
@@ -85,8 +71,10 @@ Document Intelligence supports optional features that can be enabled and disable
 |Language detection|Free| ✔️| ✔️| n/a| n/a|
 |Key value pairs|Free| ✔️|n/a|n/a| n/a|
 |Query fields|Add-On*| ✔️|n/a|n/a| n/a|
+|Searhable pdf|Add-On**| ✔️|n/a|n/a| n/a|
 
-✱ Add-On - Query fields are priced differently than the other add-on features. See [pricing](https://azure.microsoft.com/pricing/details/ai-document-intelligence/) for details.
+✱ Add-On - Query fields are priced differently than the other add-on features. See [pricing](https://azure.microsoft.com/pricing/details/ai-document-intelligence/) for details. </br>
+** Add-On - Searchable pdf is available only with Read model as an add-on feature. 
 
 ## Supported file formats
 
@@ -995,8 +983,8 @@ The searchable PDF capability enables you to convert an analog PDF, such as scan
 
   > [!IMPORTANT]
   >
-  > * Currently, the searchable PDF capability is only supported by Read OCR model `prebuilt-read`. When using this feature, please specify the `modelId` as `prebuilt-read`, as other model types will return error for this preview version.
-  > * Searchable PDF is included with the 2024-07-31-preview `prebuilt-read` model with no usage cost for general PDF consumption.
+  > * Currently, the searchable PDF capability is only supported by Read OCR model `prebuilt-read`. When using this feature, please specify the `modelId` as `prebuilt-read`.
+  > * Searchable PDF is included with the 2024-11-30 (GA) `prebuilt-read` model with no usage cost for general PDF consumption.
 
 ### Use searchable PDF
 
@@ -1056,13 +1044,13 @@ Query fields are an add-on capability to extend the schema extracted from any pr
 
 > [!NOTE]
 >
-> Document Intelligence Studio query field extraction is currently available with the Layout and Prebuilt models `2024-02-29-preview` `2023-10-31-preview` API and later releases except for the `US tax` models (W2, 1098s, and 1099s models).
+> Document Intelligence Studio query field extraction is currently available with the Layout and Prebuilt models `2024-11-30 (GA) API with the exception of the `US tax` models (W2, 1098s, and 1099s models).
 
 ### Query field extraction
 
 For query field extraction, specify the fields you want to extract and Document Intelligence analyzes the document accordingly. Here's an example:
 
-* If you're processing a contract in the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/document), use the `2024-02-29-preview` or `2023-10-31-preview` versions:
+* If you're processing a contract in the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/document), use the **2024-11-30 (GA)** version:
 
     :::image type="content" source="../media/studio/query-fields.png" alt-text="Screenshot of the query fields button in Document Intelligence Studio.":::
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 10/03/2024
+ms.date: 11/19/2024
 ms.author: vikurpad
 ms.custom:
   - references_regions
@@ -130,7 +130,7 @@ Based on its position and styling, a cell can be classified as general content,
 **Layout tables differ from document fields extracted from tabular data**. Layout tables are extracted from tabular visual content in the document without considering the semantics of the content. In fact, some layout tables are designed purely for visual layout and don't always contain structured data. The method to extract structured data from documents with diverse visual layout, like itemized details of a receipt, generally requires significant post processing. It's essential to map the row or column headers to structured fields with normalized field names. Depending on the document type, use prebuilt models or train a custom model to extract such structured content. The resulting information is exposed as document fields. Such trained models can also handle tabular data without headers and structured data in nontabular forms, for example the work experience section of a resume.
 
 > [!NOTE]
-> Starting with *2024-07-31-preview*, the bounding regions for figures and tables cover only the core content and exclude associated caption and footnotes.
+> The bounding regions for figures and tables cover only the core content and exclude associated caption and footnotes.
 
 :::image type="content" source="../media/table.png" alt-text="Layout table":::
 

@@ -6,17 +6,13 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: overview
-ms.date: 09/26/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
 
 # Which model should I choose?
 
- ::: moniker range="<=doc-intel-3.1.0"
-[!INCLUDE [preview-version-notice](../includes/preview-notice.md)]
-::: moniker-end
-
 Azure AI Document Intelligence supports a wide variety of models that enable you to add intelligent document processing to your applications and optimize your workflows. Selecting the right model is essential to ensure the success of your enterprise. In this article, we explore the available Document Intelligence models and provide guidance for how to choose the best solution for your projects.
 
 > [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5fX1b]
@@ -40,6 +36,8 @@ The following decision charts highlight the features of each supported model to
 | -----------------|--------------|-------------------|
 |**US Unified Tax**|You want to extract key information across all tax forms of W2, 1040, 1090, 1098 from a single file without running any custom classification of your own.|[**US Unified tax model**](../prebuilt/tax-document.md)|
 |**US Tax W-2 tax**|You want to extract key information such as salary, wages, and taxes withheld.|[**US tax W-2 model**](../prebuilt/tax-document.md)|
+|**US Tax W-4 tax**|You want to extract key information such as claim adjustments, personal information.|[**US tax W-4 model**](../prebuilt/tax-document.md)|
+|**US Tax 1095(A,C)**|You want to extract premium tax credit, advance credit payment details.|[**US tax 1095 model**](../prebuilt/tax-document.md)|
 |**US Tax 1098**|You want to extract mortgage interest details such as principal, points, and tax.|[**US tax 1098 model**](../prebuilt/tax-document.md)|
 |**US Tax 1098-E**|You want to extract student loan interest details such as lender and interest amount.|[**US tax 1098-E model**](../prebuilt/tax-document.md)|
 |**US Tax 1098T**|You want to extract qualified tuition details such as scholarship adjustments, student status, and lender information.|[**US tax 1098-T model**](../prebuilt/tax-document.md)|
@@ -73,7 +71,6 @@ The following decision charts highlight the features of each supported model to
 | -----------------|--------------|-------------------|
 |**Structured, consistent, documents with a static layout**. |Structured forms such as questionnaires or applications. | [**Custom template model**](./../train/custom-template.md)|
 |**Structured and semi-structured**.|&#9679; Structured &rightarrow; surveys</br>&#9679; Semi-structured &rightarrow; invoices | [**Custom neural model**](../train/custom-neural.md)|
-|**Unstructured documents, documents with varying templates**.|&#9679; Unstructured documents like contracts or letters</br> &#9679; Varying document templates like loan statements from different mortgage companies| [**Custom generative model**](../train/custom-generative-extraction.md)|
 |**A collection of several models each trained on similar-type documents.** |&#9679; Supply purchase orders</br>&#9679; Equipment purchase orders</br>&#9679; Furniture purchase orders</br> **All composed into a single model**.| [**Composed custom model**](../train/composed-models.md)|
 
 ## Custom classification model
@@ -84,4 +81,4 @@ The following decision charts highlight the features of each supported model to
 
 ## Next steps
 
-* [Learn how to process your own forms and documents](../quickstarts/try-document-intelligence-studio.md) with the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio)
+* [Learn how to process your own forms and documents](../studio-overview.md) with the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio)

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 10/03/2024
+ms.date: 11/19/2024
 ms.author: vikurpad
 ms.custom:
 monikerRange: '>=doc-intel-4.0.0'
@@ -16,7 +16,7 @@ monikerRange: '>=doc-intel-4.0.0'
 
 # Use Document Intelligence incremental classifiers
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)** ![checkmark](../media/yes-icon.png)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)** ![checkmark](../media/yes-icon.png)
 
 Azure AI Document Intelligence is a cloud-based Azure AI service that enables you to build intelligent document processing solutions. Document Intelligence APIs analyze images, PDFs, and other document files to extract and detect various content, layout, style, and semantic elements.
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 11/19/2024
 ms.author: nitinme
 monikerRange: 'doc-intel-4.0.0'
 ---
@@ -34,7 +34,7 @@ Query fields and key value pairs perform similar functions, there are a few dist
 
 For query field extraction, specify the fields you want to extract and Document Intelligence analyzes the document accordingly. Here's an example:
 
-* If you're processing a contract in the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/layout), use the `2024-02-29-preview`, `2023-10-31-preview`, or later API version:
+* If you're processing a contract in the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/layout), use the **2024-11-30 (GA)**, API version:
 
     :::image type="content" source="../media/studio/query-fields.png" alt-text="Screenshot of the query fields button in Document Intelligence Studio.":::
 
@@ -63,7 +63,7 @@ Ocp-Apim-Subscription-Key:
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Try the Document Intelligence Studio quickstart](../quickstarts/try-document-intelligence-studio.md)
+> [Try the Document Intelligence Studio quickstart](../studio-overview.md)
 
 > [!div class="nextstepaction"]
 > [Learn about other add-on capabilities](../concept/add-on-capabilities.md)

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 08/13/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '>=doc-intel-3.1.0'
 ---
@@ -15,7 +15,7 @@ monikerRange: '>=doc-intel-3.1.0'
 
 <!-- markdownlint-disable MD036 -->
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)**
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)**
 
 ## Introduction
 
@@ -57,19 +57,19 @@ Markdown is a structured and formatted markup language and a popular input for e
 
 ## Get started
 
-The Document Intelligence Layout model **2024-07-31-preview** and **2023-10-31-preview** supports the following development options:
+The Document Intelligence Layout model **2024-11-30 (GA)** supports the following development options:
 
 * [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio).
 
 * [REST API](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-02-29-preview&preserve-view=true&branch=docintelligence&tabs=HTTP).
 
-* [.NET &bull; Java &bull; JavaScript &bull; Python programming language client libraries (SDKs).](../sdk-overview-v4-0.md#supported-programming-languages)
+* [.NET &bull; Java &bull; JavaScript &bull; Python programming language client libraries (`SDK`s).](../sdk-overview-v4-0.md#supported-programming-languages)
 
 **Ready to begin?**
 
 ### Document Intelligence Studio
 
-You can follow the [Document Intelligence Studio quickstart](../quickstarts/try-document-intelligence-studio.md) to get started. Next, you can integrate Document Intelligence features with your own application using the sample code provided.
+You can follow the [Document Intelligence Studio quickstart](../studio-overview.md) to get started. Next, you can integrate Document Intelligence features with your own application using the sample code provided.
 
 * Start with the [Layout model](https://documentintelligence.ai.azure.com/studio/layout). You need to select the following **Analyze options** to use RAG in the studio:
 
@@ -119,7 +119,7 @@ If you're looking for a specific section in a document, you can use semantic chu
 
 ```python
 
-# Using SDK targeting 2024-02-29-preview or 2023-10-31-preview, make sure your resource is in one of these regions: East US, West US2, West Europe
+# Using SDK targeting 2024-11-30 (GA), make sure your resource is in one of these regions: East US, West US2, West Europe
 # pip install azure-ai-documentintelligence==1.0.0b1
 # pip install langchain langchain-community azure-ai-documentintelligence
 
@@ -155,6 +155,6 @@ splits
 
 * Learn more about [Azure AI Document Intelligence](../overview.md).
 
-* [Learn how to process your own forms and documents](../quickstarts/try-document-intelligence-studio.md) with the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio).
+* [Learn how to process your own forms and documents](../studio-overview.md) with the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio).
 
 * Complete a [Document Intelligence quickstart](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -16,14 +16,14 @@ ms.author: lajanuar
 
 :::moniker range="doc-intel-2.1.0 || doc-intel-4.0.0"
 
-Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
+Document Intelligence doesn't support containers for v4.0. Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
 
 * [REST API `2022-08-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)
 * [REST API `2023-07-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.1%20(2023-07-31)&tabs=HTTP&preserve-view=true)
 * [Client libraries targeting `REST API 2022-08-31 (GA)`](../sdk-overview-v3-0.md)
 * [Client libraries targeting `REST API 2023-07-31 (GA)`](../sdk-overview-v3-1.md)
 
-✔️ See [**Configure Document Intelligence v3.0 containers**](?view=doc-intel-3.0.0&preserve-view=true) for supported container documentation.
+✔️ See [**Configure Document Intelligence v3.0 containers**](?view=doc-intel-3.0.0&preserve-view=true) or [**Configure Document Intelligence v3.1 containers**](?view=doc-intel-3.1.0&preserve-view=true) for supported versions of container documentation.
 
 :::moniker-end
 

@@ -6,7 +6,7 @@ ms.service: azure-ai-document-intelligence
 author: laujan
 manager: nitinme
 ms.topic: reference
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -15,14 +15,14 @@ ms.author: lajanuar
 
 :::moniker range="doc-intel-2.1.0 || doc-intel-4.0.0"
 
-Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
+Document Intelligence doesn't support containers for v4.0. Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
 
 * [REST API `2022-08-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)
 * [REST API `2023-07-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.1%20(2023-07-31)&tabs=HTTP&preserve-view=true)
 * [Client libraries targeting `REST API 2022-08-31 (GA)`](../sdk-overview-v3-0.md)
 * [Client libraries targeting `REST API 2023-07-31 (GA)`](../sdk-overview-v3-1.md)
 
-✔️ See [**Document Intelligence v3.0 containers in disconnected environments**](?view=doc-intel-3.0.0&preserve-view=true) for supported container documentation.
+✔️ See [**Document Intelligence v3.0 containers in disconnected environments**](?view=doc-intel-3.0.0&preserve-view=true) or [**Document Intelligence v3.1 containers in disconnected environments**](?view=doc-intel-3.1.0&preserve-view=true) for supported versions of container documentation.
 
 :::moniker-end
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: reference
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -16,14 +16,14 @@ ms.author: lajanuar
 
 :::moniker range="doc-intel-2.1.0 || doc-intel-4.0.0"
 
-Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
+Document Intelligence doesn't support containers for v4.0. Support for containers is currently available with Document Intelligence version `2022-08-31 (GA)` for all models and `2023-07-31 (GA)` for Read, Layout, Invoice, Receipt, and ID Document models:
 
 * [REST API `2022-08-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)
 * [REST API `2023-07-31 (GA)`](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.1%20(2023-07-31)&tabs=HTTP&preserve-view=true)
 * [Client libraries targeting `REST API 2022-08-31 (GA)`](../sdk-overview-v3-0.md)
 * [Client libraries targeting `REST API 2023-07-31 (GA)`](../sdk-overview-v3-1.md)
 
-✔️ See [**Document Intelligence container image tags**](?view=doc-intel-3.0.0&preserve-view=true) for supported container documentation.
+✔️ See [**Document Intelligence v3.0 container image tags**](?view=doc-intel-3.0.0&preserve-view=true) or [**Document Intelligence v3.1 container image tags**](?view=doc-intel-3.1.0&preserve-view=true) for supported versions of container documentation.
 
 :::moniker-end
 
@@ -68,6 +68,7 @@ The following containers support DocumentIntelligence v3.1 models and features:
 | [**Invoice 3.1**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/invoice-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/invoice-3.1:latest`|
 | [**ID Document 3.1**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/id-document-3.1/tags) |  `mcr.microsoft.com/azure-cognitive-services/form-recognizer/id-document-3.1:latest` |
 | [**Receipt 3.1**](https://mcr.microsoft.com/product/azure-cognitive-services/form-recognizer/receipt-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/receipt-3.1:latest`|
+| [**Custom Template 3.1**](https://mcr.microsoft.com/en-us/artifact/mar/azure-cognitive-services/form-recognizer/custom-template-3.1/tags) |`mcr.microsoft.com/azure-cognitive-services/form-recognizer/custom-template-3.1:latest`|
 
 ::: moniker-end
 
@@ -95,9 +96,8 @@ Document Intelligence containers support the following features:
 > [!IMPORTANT]
 > The Document Intelligence v1.0 container is retired.
 
-
 ## Next steps
 
 > [!div class="nextstepaction"]
 > [Install and run Document Intelligence containers](install-run.md)
-:::moniker-end
+:::moniker-end
\ No newline at end of file

@@ -6,21 +6,21 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 10/01/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
 
 # Install and run containers
 
-<!-- markdownlint-disable MD024 -->
-<!-- markdownlint-disable MD051 -->
+<!-- markdownlint-disable MD024 -->
+<!-- markdownlint-disable MD051 -->
 
 :::moniker range=">=doc-intel-2.1.0"
 
 **This content applies to:** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)**
 
-Azure AI Document Intelligence is an Azure AI service that lets you build automated data processing software using machine-learning technology. Document Intelligence enables you to identify and extract text, key/value pairs, selection marks, table data, and more from your documents. The results are delivered as structured data that ../includes the relationships in the original file. Containers process only the data provided to them and solely utilize the resources they are permitted to access. Containers cannot process data from other regions.
+Azure AI Document Intelligence is an Azure AI service that lets you build automated data processing software using machine-learning technology. Document Intelligence enables you to identify and extract text, key/value pairs, selection marks, table data, and more from your documents. The results are delivered as structured data that ../includes the relationships in the original file. Containers process only the data provided to them and solely utilize the resources they're permitted to access. Containers can't process data from other regions.
 
 In this article you can learn how to download, install, and run Document Intelligence containers. Containers enable you to run the Document Intelligence service in your own environment. Containers are great for specific security and data governance requirements.
 
@@ -371,7 +371,7 @@ In addition to the [prerequisites](#prerequisites), you need to do the following
 
 * Name this folder **shared**.
 * We reference the file path for this folder as  **{SHARED_MOUNT_PATH}**.
-* Copy the file path in a convenient location, you need to add it to your **.env** file. As an example if the folder is called shared, located in the same folder as the `docker-compose` file, the .env file entry is `SHARED_MOUNT_PATH="./shared"`
+* Copy the file path in a convenient location, you need to add it to your **.env** file. As an example if the folder is called shared, located in the same folder as the `docker-compose` file, the .env file entry is `SHARED_MOUNT_PATH="./share"`
 
 #### Create a folder for the Studio to store project related information
 
@@ -386,7 +386,7 @@ In addition to the [prerequisites](#prerequisites), you need to do the following
   1. Declare the following environment variables:
 
   ```text
-SHARED_MOUNT_PATH="./shared"
+SHARED_MOUNT_PATH="./share"
 OUTPUT_MOUNT_PATH="./output"
 FILE_MOUNT_PATH="./files"
 DB_MOUNT_PATH="./db"
@@ -504,13 +504,16 @@ services:
   nginx:
     image: nginx:alpine
     container_name: reverseproxy
+    depends_on:
+      - layout
+      - custom-template  
     volumes:
       - ${NGINX_CONF_FILE}:/etc/nginx/nginx.conf
     ports:
       - "5000:5000"
   layout:
     container_name: azure-cognitive-service-layout
-    image: mcr.microsoft.com/azure-cognitive-services/form-recognizer/layout-3.0:latest
+    image: mcr.microsoft.com/azure-cognitive-services/form-recognizer/layout-3.1:latest
     environment:
       eula: accept
       apikey: ${FORM_RECOGNIZER_KEY}
@@ -531,7 +534,7 @@ services:
 
   custom-template:
     container_name: azure-cognitive-service-custom-template
-    image: mcr.microsoft.com/azure-cognitive-services/form-recognizer/custom-template-3.0:latest
+    image: mcr.microsoft.com/azure-cognitive-services/form-recognizer/custom-template-3.1:latest
     restart: always
     depends_on:
       - layout

@@ -7,7 +7,7 @@ metadata:
   ms.service: azure-ai-document-intelligence
   ms.custom: references_regions
   ms.topic: faq
-  ms.date: 08/08/2024
+  ms.date: 11/19/2024
   ms.author: lajanuar
 title: Frequently asked questions
 summary: |
@@ -28,7 +28,7 @@ sections:
 
           -  **Pricing changes**: There are no changes to pricing. The names Cognitive Services and Applied AI Services continue to be used in Azure billing, cost analysis, price lists, and price APIs.
 
-          -  **Breaking changes**: There are no breaking changes to APIs or client libraries. REST APIs and SDK versions 2024-02-29-preview, 2023-10-31-preview, and later are renamed `document intelligence`.
+          -  **Breaking changes**: There are no breaking changes to APIs or client libraries.
 
       - question: |
          Does Document Intelligence integrate with other Microsoft services?
@@ -52,8 +52,7 @@ sections:
         answer: |
           **Yes.**
 
-          Document Intelligence now includes [custom generative](train/custom-generative-extraction.md) a new type of extraction model that uses Generative AI and large language models (LLMs) to extract fields from documents. In the past, you used a RAG (retrieval augmented generation) pattern to extract fields. The new model provides high quality results with a single API call.
-          You can also use a document generative AI solution to chat with your documents (RAG), generate captivating content from those documents, and access Azure OpenAI Service models on your data.
+           You can also use a document generative AI solution to chat with your documents (RAG), generate captivating content from those documents, and access Azure OpenAI Service models on your data.
 
           - With Azure AI Document Intelligence and Azure OpenAI combined, you can build an enterprise application to seamlessly interact with your documents using natural language. You can easily find answers, gain valuable insights, and generate new and engaging content from existing documents.
 
@@ -105,7 +104,7 @@ sections:
 
             - **Contributor**: You need this role to create a resource group and resources. **Contributor** or **Storage Account Contributor** role doesn't give you access to use your Document Intelligence resource or storage account if local (key-based) authentication is disabled. You still need the basic roles (**Cognitive Services User** and **Storage Data Blob Contributor**) to use the functions on Document Intelligence Studio.
 
-          For more information, see [Microsoft Entra built-in roles](/azure/role-based-access-control/built-in-roles) and the sections about Azure role assignments in the [Document Intelligence Studio quickstart](quickstarts/try-document-intelligence-studio.md).
+          For more information, see [Microsoft Entra built-in roles](/azure/role-based-access-control/built-in-roles) and the sections about Azure role assignments in the [Document Intelligence Studio quickstart](studio-overview.md).
 
       - question: |
           Can I process documents with more than two pages in Document Intelligence Studio?
@@ -301,11 +300,7 @@ sections:
       answer: |
         **Yes.**
 
-        Training is free for all custom generative and custom template models. However, creating the training dataset for all models requires running the Layout model on the training documents. Customers are responsible for this cost. 
-        
-        Custom generative models also rely on the auto label feature to speed up the generation of the labeled dataset. There's a cost associated with this action. While the build operation for template and generative models is free, creating the labeled dataset can result in some minimal costs.
-
-        For `v4.0 2024-07-31-preview`, custom neural models can be trained for free for a **maximum of 10 hours**. Whether you're training a single model for the 10 hours, or training multiple models for the total of 10 hours, you aren't charged for the first 10 hours. After using up the free 10 hours, you're **automatically charged by the extra training hour**. For details on the prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). This new paid training feature enables training models for an extended duration to process larger documents. For more information on this paid training feature, check [custom neural model billing section](train/custom-neural.md#billing).
+        For `v4.0 11-30-2024 (GA)` custom neural models can be trained for free for a **maximum of 10 hours**. Whether you're training a single model for the 10 hours, or training multiple models for the total of 10 hours, you aren't charged for the first 10 hours. After using up the free 10 hours, you're **automatically charged by the extra training hour**. For details on the prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). This new paid training feature enables training models for an extended duration to process larger documents. For more information on this paid training feature, check [custom neural model billing section](train/custom-neural.md#billing).
         
         For `v3.0 2022-08-31` or `v3.1 2023-07-31`, custom neural models can be trained for free for a maximum of 20 training sessions, with each session capped at 30 minutes of training duration. Once you use up all of the 20 training sessions, you can submit Azure support ticket to increase the training session limit. To increase the limit, two training sessions are considered as one training hour, and you're charged per two sessions / one training hour. For details on the prices, refer to the [pricing page]. For more information on ways to increase the limit, check [custom neural model billing section](train/custom-neural.md#billing). **For `v3.0` and `v3.1`, paid training feature is unavailable. Paid training feature for custom neural model is only available on `v4.0`.**
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '>=doc-intel-3.0.0'
 ---
@@ -16,11 +16,6 @@ monikerRange: '>=doc-intel-3.0.0'
 
 [!INCLUDE [applies to v4.0 v3.1 v3.0](../includes/applies-to-v40-v31-v30.md)]
 
-> [!IMPORTANT]
->
-> Custom classification model is currently in public preview. Features, approaches, and processes may change, prior to General Availability (GA), based on user feedback.
->
-
 Custom classification models can classify each page in an input file to identify one or more documents within. Classifier models can also identify multiple documents or multiple instances of a single document in the input file. Document Intelligence custom models require as few as five training documents per document class to get started. To get started training a custom classification model, you need at least **five documents** for each class and **two classes** of documents.
 
 ## Custom classification model input requirements
@@ -45,7 +40,7 @@ Once you put together the set of forms or documents for training, you need to up
 
 The Document Intelligence Studio provides and orchestrates all the API calls required to complete your dataset and train your model.
 
-1. Start by navigating to the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../quickstarts/try-document-intelligence-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-document-intelligence-studio.md#added-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
+1. Start by navigating to the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../studio-overview.md). Then, follow the [prerequisites for custom projects](../quickstarts/studio-custom-project.md#prerequisites-for-new-users) to configure the Studio to access your training dataset.
 
 1. In the Studio, select the **Custom classification model** tile, on the custom models section of the page and select the **Create a project** button.
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 08/07/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '<=doc-intel-4.0.0'
 ---
@@ -18,10 +18,7 @@ monikerRange: '<=doc-intel-4.0.0'
 
 [!INCLUDE [applies to v4.0 v3.1 v3.0](../includes/applies-to-v40-v31-v30.md)]   ![blue-checkmark](../media/blue-yes-icon.png) [v2.1](?view=doc-intel-2.1.0&preserve-view=true)
 
-> [!IMPORTANT]
-> Custom generative model training behavior is different from custom template and neural model training. The following document covers training only for custom template and neural models. For guidance on custom generative, refer to [custom generative model](../train/custom-generative-extraction.md)
-
-Document Intelligence custom models require a handful of training documents to get started. If you have at least five documents, you can get started training a custom model. You can train either a [custom template model (custom form)](../train/custom-template.md) or a [custom neural model (custom document)](../train/custom-neural.md) or [custom template model (custom form)](../train/custom-generative-extraction.md). This document walks you through the process of training the custom models.
+Document Intelligence custom models require a handful of training documents to get started. If you have at least five documents, you can get started training a custom model. You can train either a [custom template model (custom form)](../train/custom-template.md) or a [custom neural model (custom document)](../train/custom-neural.md). This document walks you through the process of training the custom models.
 
 ## Custom model input requirements
 
@@ -52,7 +49,7 @@ Once you gather a set of forms or documents for training, you need to upload it
 
 The Document Intelligence Studio provides and orchestrates all the API calls required to complete your dataset and train your model.
 
-1. Start by navigating to the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../quickstarts/try-document-intelligence-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-document-intelligence-studio.md#added-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
+1. Start by navigating to the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../studio-overview.md). Then, follow the [prerequisites for custom projects](../quickstarts/studio-custom-project.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
 
 1. In the Studio, select the **Custom extraction model** tile and select the **Create a project** button.
 
@@ -207,5 +204,5 @@ Now that you learned how to build a training data set, follow a quickstart to tr
 ### See also
 
 * [Train a model and extract document data using the client library or REST API](../quickstarts/get-started-sdks-rest-api.md)
-* [Custom generative model](../train/custom-generative-extraction.md)
+
 * [What is Document Intelligence?](../overview.md)

@@ -1,137 +0,0 @@
----
-title: Use AI Foundry to build and train an Azure AI Document Intelligence custom generative model
-titleSuffix: Azure AI services
-description: How to build and train a custom generative AI model with AI Foundry to extract user-specified fields from documents across a wide variety of visual templates.
-author: laujan
-manager: nitinme
-ms.service: azure-ai-document-intelligence
-ms.topic: overview
-ms.date: 08/07/2024
-ms.author: lajanuar
-monikerRange: '>=doc-intel-4.0.0'
----
-
-# Build and train a custom generative model with AI Foundry
-
-In this article, learn to build and train a custom generative model with Azure AI Foundry. Document Intelligence custom models require as few as five training documents to get started. Do you have at least five documents? If so,  let's get started training and testing the custom generative model.
-
-## Prerequisites
-
-* You need an active Azure subscription. If you don't have an Azure subscription, you can [create one for free](https://azure.microsoft.com/free/cognitive-services/).
-
-* Once you have your Azure subscription A [Document Intelligence](https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer) instance in the Azure portal. You can use the free pricing tier (`F0`) to try the service.
-
-* After your resource deploys, select **Go to resource** and retrieve your key and endpoint.
-
-  * You need the key and endpoint from the resource to connect your application to the Document Intelligence service. You paste your key and endpoint into the code later in the quickstart. You can find these values on the Azure portal **Keys and Endpoint** page.
-
-### Storage container authorization
-
-You can choose one of the following options to authorize access to your Document resource.
-
-**✔️ Managed Identity**. A managed identity is a service principal that creates a Microsoft Entra identity and specific permissions for an Azure managed resource. Managed identities enable you to run your Document Intelligence application without having to embed credentials in your code. Managed identities are a safer way to grant access to storage data and replace the requirement for you to include shared access signature tokens (SAS) with your source and result URLs.
-
-To learn more, *see* [Managed identities for Document Intelligence](../authentication/managed-identities.md).
-
-  :::image type="content" source="../media/managed-identities/rbac-flow.png" alt-text="Screenshot of managed identity flow (role-based access control).":::
-
-> [!IMPORTANT]
->
-> * When using managed identities, don't include a SAS token URL with your HTTP requests—your requests will fail. Using managed identities replaces the requirement for you to include shared access signature tokens (SAS).
-**✔️ Shared Access Signature (SAS)**. A shared access signature is a URL that grants restricted access for a specified period of time to your Document Intelligence service. To use this method, you need to create Shared Access Signature (SAS) tokens for your source and result containers. The source and result containers must include a Shared Access Signature (SAS) token, appended as a query string. The token can be assigned to your container or specific blobs.
-
-:::image type="content" source="../media/sas-tokens/sas-url-token.png" alt-text="Screenshot of storage URI with SAS token appended.":::
-
-* Your **source** container or blob must designate **read**, **write**, **list**, and **delete** access.
-* Your **result** container or blob must designate **write**, **list**, **delete** access.
-
-To learn more, *see* [**Create SAS tokens**](../authentication/create-sas-tokens.md).
-
-### Training data
-
-Follow these tips to optimize your data set for training:
-
-* Use text-based PDF documents instead of image-based documents. Scanned PDFs are handled as images.
-
-* Use examples that have all of the fields completed for forms with input fields.
-
-* Use forms with different values in each field.
-
-* use a larger data set (10-15 images) if your form images are of lower quality.
-
-Once you have your Azure blob storage containers, upload your training data to your source containers. Now you're ready to train your custom generative model.
-
-## Azure AI Foundry
-
-1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?tid=72f988bf-86f1-41af-91ab-2d7cd011db47). The first time you use the Studio, you need to [initialize your subscription and create a hub](../../../ai-studio/how-to/create-azure-ai-resource.md) before creating a project. Custom generative models are only available in East US and North Central US in preview. Ensure your resource group is set to East US or North Central US during hub creation.
-
-1. Select the Vision + Document tile.
-
-    :::image type="content" source="../media/custom-generative-model/document-intelligence-vision-tile.png" alt-text="Screenshot of the document intelligence / vision tile.":::
-
-1. Then, select the Document field extraction tile, and select the Create document field extraction project button to create a project.
-
-    :::image type="content" source="../media/custom-generative-model/start-document-field-extraction.png" alt-text="Screenshot of the create document field extraction project page.":::
-
-1. Create your project. For more information, *see* [Create a project in Azure AI Foundry portal](../../../ai-studio/how-to/create-projects.md).
-
-1. Create an Azure AI services connection to access Azure Document Intelligence service:
-
-    :::image type="content" source="../media/custom-generative-model/create-document-extraction-project.png" alt-text="Screenshot of the create document extraction project overview page.":::
-
-1. Next, select the storage account you used to upload your custom model training dataset.
-
-    :::image type="content" source="../media/custom-generative-model/create-document-extraction-data-settings.png" alt-text="Screenshot of the document extraction project data settings page.":::
-
-1. Review your project settings and select **`Create a Project`** to create a new project. Once you select on the project, you should now be in the **`Define schema`** window and see the files in your dataset listed.
-
-### Define the schema
-
-* For your project, the first task is to add the fields to extract and define a schema.
-
-* The files you uploaded are listed and you can use the drop-down option to select files. You can start adding fields by clicking on the **`➕ Add new field`** button.
-
-* Enter a name, description, and type for the field to be extracted. Once all the fields are added, select the **`Save`** button at the bottom of the screen.
-
-### Label data
-
-* Once the schema is saved, all the uploaded training documents are analyzed and field values are automatically extracted. Field values are listed on the screen for review. The autoextracted fields are tagged as **Predicted**.
-
-* Review the predicted values. If the field value is incorrect or isn't extracted, you can hover over the predicted field. Select the edit button to make the changes:
-
-   :::image type="content" source="../media/custom-generative-model/extraction-project-edit-button.png" alt-text="Screenshot of the extraction project edit button.":::
-
-* Once change are made, the predicted tag displays **`Corrected`**:
-
-   :::image type="content" source="../media/custom-generative-model/extraction-project-corrected-indicator.png" alt-text="Screenshot of the extraction project corrected indicator.":::
-
-* Continue reviewing the predicted fields. After the labels are reviewed and corrected for all the training documents, proceed to build your model.
-
-  > [!NOTE]
-  > You can always go back and update the schema during model training but, to use the auto label capability, you need to delete and reload the files using **`Upload files`** option.
-
-### Build your model
-
-With your dataset labeled, you're ready to train your model. Select the **`Build model`**. On the Build model dialog page, provide a unique model name and, optionally, a description. The modelID accepts a string data type.
-
-   :::image type="content" source="../media/custom-generative-model/build-extraction-model.png" alt-text="Screenshot of the build an extraction model page.":::
-
-Select **`Build`** to initiate the training process. Generative models train instantly! Refresh the page to select the model once status is changed to **succeeded**.
-
-### Test your model
-
-* Once the model training is complete, you can test your model by selecting **`Test`** button on the CustomGenerative page.
-
-   :::image type="content" source="../media/custom-generative-model/custom-generative-page.png" alt-text="Screenshot of the custom generative page.":::
-
-* Upload your test files and select **`Run Analysis`** to extract field values from the documents. With the **`Analyze`** option, you can choose to run and analysis on the current document or all documents.
-
-* Validate your model accuracy by evaluating the results for each field.
-
-That's it! You learned to train a custom generative model in the Azure AI Foundry portal. Your model is ready for use with the REST API or the SDK to analyze documents.
-
-## Next steps
-
-[Learn more about the custom generative model](../train/custom-generative-extraction.md)
-
-[Learn more about custom model accuracy and confidence](../concept/accuracy-confidence.md)

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 08/07/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -36,7 +36,7 @@ ms.author: lajanuar
 ::: moniker range=">=doc-intel-3.0.0"
 
 > [!IMPORTANT]
-> Model compose behavior is changing for api-version=2024-07-31-preview and later, for more info refer to [composed custom models](../train/composed-models.md). The following behavior only applies to v3.1 and previous versions
+> Model compose behavior is changed for api-version=2024-11-30 (GA). For more information refer to [composed custom models](../train/composed-models.md). The following behavior **only applies to v3.1 and previous versions**.
 
 A composed model is created by taking a collection of custom models and assigning them to a single model ID. You can assign up to 200 trained custom models to a single composed model ID. When a document is submitted to a composed model, the service performs a classification step to decide which custom model accurately represents the form presented for analysis. Composed models are useful when you train several models and want to group them to analyze similar form types. For example, your composed model might include custom models trained to analyze your supply, equipment, and furniture purchase orders. Instead of manually trying to select the appropriate model, you can use a composed model to determine the appropriate custom model for each analysis and extraction.
 
@@ -272,7 +272,7 @@ Great! You learned the steps to create custom and composed models and use them i
 Try one of our Document Intelligence quickstarts:
 
 > [!div class="nextstepaction"]
-> [Document Intelligence Studio](../quickstarts/try-document-intelligence-studio.md)
+> [Document Intelligence Studio](../studio-overview.md)
 
 > [!div class="nextstepaction"]
 > [REST API](../quickstarts/get-started-sdks-rest-api.md?view=doc-intel-3.0.0&preserve-view=true)

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 10/08/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 10/15/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -38,7 +38,7 @@ When you create a Document Intelligence resource in the Azure portal, you specif
 The Copy API enables this scenario by allowing you to copy custom models and classifiers from one Document Intelligence account or into others, which can exist in any supported geographical region. This guide shows you how to use the Copy REST API with cURL for custom models. You can also use an HTTP request service to issue the requests.
 
 > [!NOTE]
-> Starting with the `2024-07-31-preview` API, custom clasification models also support the Copy API. This guide specifically uses custom models to copy models. For classifier model copy, follow this [guide](../train/custom-classifier.md#copy-a-model).
+> The 2024-11-30 (GA) API custom classification model supports the Copy API. This guide specifically uses custom models to copy models. For classifier model copy, follow the [train a custom classifier guide](../train/custom-classifier.md#copy-a-model).
 
 ## Business scenarios
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: luzhan
 ---
 

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.custom: linux-related-content
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp
 ---
@@ -91,12 +91,12 @@ With Document Intelligence, you can create two different client types. The first
 `FormRecognizerClient` provides the following operations:
 
 - Recognize form fields and content by using custom models trained to analyze your custom forms. These values are returned in a collection of `RecognizedForm` objects. See [Analyze forms with a custom model](#analyze-forms-with-a-custom-model).
-- Recognize form content, including tables, lines, and words, without the need to train a model.  Form content is returned in a collection of `FormPage` objects. See [Analyze layout](#analyze-layout).
+- Recognize form content, including tables, lines, and words, without the need to train a model. Form content is returned in a collection of `FormPage` objects. See [Analyze layout](#analyze-layout).
 - Recognize common fields from US receipts, business cards, invoices, and ID documents using a pretrained model on the Document Intelligence service.
 
 `FormTrainingClient` provides operations to:
 
-- Train custom models to analyze all fields and values found in your custom forms.  A `CustomFormModel` is returned that indicates the form types the model analyzes and the fields it extracts for each form type.
+- Train custom models to analyze all fields and values found in your custom forms. A `CustomFormModel` is returned that indicates the form types the model analyzes and the fields it extracts for each form type.
 - Train custom models to analyze specific fields and values you specify by labeling your custom forms. A `CustomFormModel` is returned that indicates the fields that the model extracts and the estimated accuracy for each field.
 - Manage models created in your account.
 - Copy a custom model from one Document Intelligence resource to another.
@@ -309,7 +309,7 @@ Finally, return the trained model ID for use in later steps.
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_train_return)]
 
-This output has been truncated for readability.
+This output is truncated for readability.
 
 ```output
 Merchant Name: 'Contoso Contoso', with confidence 0.516
@@ -373,7 +373,7 @@ The returned `CustomFormModel` indicates the fields that the model can extract,
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_trainlabels_response)]
 
-This output has been truncated for readability.
+This output is truncated for readability.
 
 ```output
 Form Page 1 has 18 lines.
@@ -431,7 +431,7 @@ The returned value is a collection of `RecognizedForm` objects. There's one obje
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_analyze_response)]
 
-This output response has been truncated for readability.
+This output response is truncated for readability.
 
 ```output
 Custom Model Info:
@@ -498,7 +498,7 @@ This section demonstrates how to manage the custom models stored in your account
 
 ### Check the number of models in the FormRecognizer resource account
 
-The following code block checks how many models you've saved in your Document Intelligence account and compares it to the account limit.
+The following code block checks how many models you saved in your Document Intelligence account and compares it to the account limit.
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_manage_model_count)]
 
@@ -515,7 +515,7 @@ The following code blocklists the current models in your account and prints thei
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_manage_model_list)]
 
-This output has been truncated for readability.
+This output is truncated for readability.
 
 ```output
 Custom Model Info:
@@ -541,7 +541,7 @@ The following code block trains a new model, just like in [Train a model without
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/FormRecognizer/FormRecognizerQuickstart.cs?name=snippet_manage_model_get)]
 
-This output has been truncated for readability.
+This output is truncated for readability.
 
 ```output
 Custom Model Info:

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.custom: devx-track-java
 ms.author: lajanuar
 ---

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-js
 ---

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-python
 ---

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 <!-- markdownlint-disable MD001 -->

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 monikerRange: 'doc-intel-3.1.0 || doc-intel-3.0.0'

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 monikerRange: 'doc-intel-3.1.0 || doc-intel-3.0.0'

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 monikerRange: 'doc-intel-3.1.0 || doc-intel-3.0.0'

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 monikerRange: 'doc-intel-3.1.0 || doc-intel-3.0.0'

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.custom: linux-related-content
 ms.topic: include
-ms.date: 05/23/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: 'doc-intel-3.1.0 || doc-intel-3.0.0'
 ---

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 09/09/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 monikerRange: 'doc-intel-4.0.0'
@@ -16,7 +16,7 @@ monikerRange: 'doc-intel-4.0.0'
 <!-- markdownlint-disable MD033 -->
 <!-- markdownlint-disable MD034 -->
 
-[Client library](/dotnet/api/overview/azure/ai.documentintelligence-readme?view=azure-dotnet-preview&preserve-view=true) | [SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/dotnet/Azure.AI.DocumentIntelligence/1.0.0-beta.3/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) | [Package](https://www.nuget.org/packages/Azure.AI.DocumentIntelligence/1.0.0-beta.3)| [Samples]( https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/documentintelligence/Azure.AI.DocumentIntelligence/samples/README.md)|[Supported REST API version](../../../sdk-overview-v4-0.md)
+[Client library](/dotnet/api/overview/azure/ai.documentintelligence-readme?view=azure-dotnet-preview&preserve-view=true) | [SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/dotnet/Azure.AI.DocumentIntelligence/1.0.0-beta.3/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) | [Package](https://www.nuget.org/packages/Azure.AI.DocumentIntelligence/1.0.0-beta.3)| [Samples]( https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/documentintelligence/Azure.AI.DocumentIntelligence/samples/README.md)|[Supported REST API version](../../../sdk-overview-v4-0.md)
 
 ## Prerequisites
 

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 09/09/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 ---
@@ -15,7 +15,7 @@ ms.custom: devx-track-csharp, linux-related-content
 <!-- markdownlint-disable MD033 -->
 <!-- markdownlint-disable MD034 -->
 
-[Client library](/java/api/overview/azure/ai-documentintelligence-readme?view=azure-java-preview&preserve-view=true) | [SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/java/azure-ai-documentintelligence/1.0.0-beta.4/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-documentintelligence/1.0.0-beta.4) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/azure-ai-documentintelligence_1.0.0-beta.4/sdk/documentintelligence/azure-ai-documentintelligence/src/samples) |[Supported REST API version](../../../sdk-overview-v4-0.md)
+[Client library](/java/api/overview/azure/ai-documentintelligence-readme?view=azure-java-preview&preserve-view=true) | [SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/java/azure-ai-documentintelligence/1.0.0-beta.4/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-documentintelligence/1.0.0-beta.4) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/azure-ai-documentintelligence_1.0.0-beta.4/sdk/documentintelligence/azure-ai-documentintelligence/src/samples) |[Supported REST API version](../../../sdk-overview-v4-0.md)
 
 ## Prerequisites
 

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 09/09/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 ---
@@ -15,7 +15,7 @@ ms.custom: devx-track-csharp, linux-related-content
 <!-- markdownlint-disable MD033 -->
 <!-- markdownlint-disable MD034 -->
 
-[Client library](/javascript/api/overview/azure/ai-document-intelligence-rest-readme?view=azure-node-preview&preserve-view=true) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) | [Package (npm)](https://www.npmjs.com/package/@azure-rest/ai-document-intelligence/v/1.0.0-beta.3) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/samples/v1-beta) |[Supported REST API version](../../../sdk-overview-v4-0.md)
+[Client library](/javascript/api/overview/azure/ai-document-intelligence-rest-readme?view=azure-node-preview&preserve-view=true) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) | [Package (npm)](https://www.npmjs.com/package/@azure-rest/ai-document-intelligence/v/1.0.0-beta.3) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/samples/v1-beta) |[Supported REST API version](../../../sdk-overview-v4-0.md)
 
 ## Prerequisites
 

@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 09/09/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ms.custom: devx-track-csharp, linux-related-content
 ---
@@ -15,7 +15,7 @@ ms.custom: devx-track-csharp, linux-related-content
 <!-- markdownlint-disable MD033 -->
 <!-- markdownlint-disable MD034 -->
 
-[Client library](/python/api/overview/azure/ai-documentintelligence-readme?view=azure-python-preview&preserve-view=true) |[SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-documentintelligence/1.0.0b4/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) | [Package (PyPi)](https://pypi.org/project/azure-ai-documentintelligence/1.0.0b4/) | [Samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/documentintelligence/azure-ai-documentintelligence/samples) | [Supported REST API version](../../../sdk-overview-v4-0.md#supported-programming-languages)
+[Client library](/python/api/overview/azure/ai-documentintelligence-readme?view=azure-python-preview&preserve-view=true) |[SDK reference](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-documentintelligence/1.0.0b4/index.html) | [REST API reference](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) | [Package (PyPi)](https://pypi.org/project/azure-ai-documentintelligence/1.0.0b4/) | [Samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/documentintelligence/azure-ai-documentintelligence/samples) | [Supported REST API version](../../../sdk-overview-v4-0.md#supported-programming-languages)
 
 ## Prerequisites
 

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.custom: linux-related-content
 ms.topic: include
-ms.date: 09/09/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 <!-- markdownlint-disable MD033 -->
@@ -16,7 +16,7 @@ ms.author: lajanuar
 >
 > This project uses cURL command-line tool to execute REST API calls.
 
-| [Document Intelligence REST API](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) | [Supported Azure SDKS](../../../sdk-overview-v4-0.md)
+| [Document Intelligence REST API](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) | [Supported Azure SDKS](../../../sdk-overview-v4-0.md)
 
 ## Prerequisites
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: how-to
-ms.date: 08/07/2024
+ms.date: 11/19/2024
 ms.author: jppark
 monikerRange: '>=doc-intel-3.0.0'
 ---

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 07/11/2024
+ms.date: 11/19/2024
 ms.author: paulhsu
 monikerRange: '>=doc-intel-3.0.0'
 ---

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.custom: devx-track-dotnet, devx-track-extended-java, devx-track-js, devx-track-python, linux-related-content
 ms.topic: how-to
-ms.date: 07/18/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 zone_pivot_groups: programming-languages-set-formre
 ---
@@ -17,7 +17,7 @@ zone_pivot_groups: programming-languages-set-formre
 # Use Document Intelligence models
 
 ::: moniker range="doc-intel-4.0.0"
-[!INCLUDE [applies to v4.0 (preview)](../includes/applies-to-v40.md)]
+[!INCLUDE [applies to v4.0 (GA)](../includes/applies-to-v40.md)]
 ::: moniker-end
 
 ::: moniker range="doc-intel-3.1.0"

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v2.1** | **Latest version:** ![blue-checkmark](../media/blue-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=tru)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v2.1** | **Latest version:** ![blue-checkmark](../media/blue-yes-icon.png) [**v4.0 (GA)**](?view=doc-intel-4.0.0&preserve-view=tru)

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
 **This content applies to:** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v2.1 (GA)**

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](../media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true) | **Previous version:** ![blue-checkmark](../media/blue-yes-icon.png) [v2.1](?view=doc-intel-2.1.0&preserve-view=true)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (GA)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](../media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true) | **Previous version:** ![blue-checkmark](../media/blue-yes-icon.png) [v2.1](?view=doc-intel-2.1.0&preserve-view=true)

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
 **This content applies to:**![checkmark](../media/yes-icon.png) **v3.1 (GA)** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v2.1 (GA)**

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
 **This content applies to:**![checkmark](../media/yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=true) ![checkmark](../media/yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=true) **Earlier version:** ![blue-checkmark](../media/blue-yes-icon.png) [v2.1](?view=doc-intel-2.1.0&preserve-view=true)

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** | **Latest version:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0**](?view=doc-intel-3.0.0&preserve-view=true) ![blue-checkmark](../media/blue-yes-icon.png) [**v2.1**](?view=doc-intel-2.1.0&preserve-view=true)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** | **Latest version:** ![purple-checkmark](../media/purple-yes-icon.png) [**v4.0 (GA)**](?view=doc-intel-4.0.0&preserve-view=true) | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0**](?view=doc-intel-3.0.0&preserve-view=true) ![blue-checkmark](../media/blue-yes-icon.png) [**v2.1**](?view=doc-intel-2.1.0&preserve-view=true)

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v2.1 (GA)**
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v2.1 (GA)**

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:**![checkmark](../media/yes-icon.png) **v4.0 (preview)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=tru) 
+**This content applies to:**![checkmark](../media/yes-icon.png) **v4.0 (GA)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=tru) 

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)**
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)**

@@ -6,7 +6,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ---
 
-**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (preview)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v2.1 (GA)**](?view=doc-intel-2.1.0&preserve-view=tru)
+**This content applies to:** ![checkmark](../media/yes-icon.png) **v4.0 (GA)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v2.1 (GA)**](?view=doc-intel-2.1.0&preserve-view=tru)

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -3,7 +3,7 @@ author: laujan
 ms.service: ai-services
 ms.subservice: forms-recognizer
 ms.topic: include
-ms.date: 07/18/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 > [!IMPORTANT]

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 08/21/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 08/13/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 <!-- markdownlint-disable MD041 -->
@@ -12,11 +12,11 @@ ms.author: lajanuar
     |Model | PDF |Image: </br>`JPEG/JPG`, `PNG`, `BMP`, `TIFF`, `HEIF` | Microsoft Office: </br> Word (`DOCX`), Excel (`XLSX`), PowerPoint (`PPTX`), HTML|
     |--------|:----:|:-----:|:---------------:|
     |Read            | ✔    | ✔    | ✔  |
-    |Layout          | ✔  | ✔ | ✔ (2024-07-31-preview, 2024-02-29-preview, 2023-10-31-preview)  |
+    |Layout          | ✔  | ✔ | ✔  |
     |General&nbsp;Document| ✔  | ✔ |   |
     |Prebuilt        |  ✔  | ✔ |   |
     |Custom extraction |  ✔  | ✔ |   |
-    |Custom classification  |  ✔  | ✔ | ✔ (2024-07-31-preview, 2024-02-29-preview)  |
+    |Custom classification  |  ✔  | ✔ | ✔  |
 
 * For best results, provide one clear photo or high-quality scan per document.
 
@@ -34,4 +34,4 @@ ms.author: lajanuar
 
   * For custom extraction model training, the total size of training data is 50 MB for template model and `1` GB for the neural model.
 
-  * For custom classification model training, the total size of training data is `1` GB  with a maximum of 10,000 pages. For 2024-07-31-preview and later, the total size of training data is `2` GB with a maximum of 10,000 pages.
+  * For custom classification model training, the total size of training data is `1` GB  with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is `2` GB with a maximum of 10,000 pages.

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/24/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '<=doc-intel-4.0.0'
 ---

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/24/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 monikerRange: '<=doc-intel-3.0.0'
 ---

@@ -2,39 +2,41 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 08/08/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 <!-- markdownlint-disable MD041 -->
 
 |Model ID|Content Extraction|Query fields|Paragraphs|Paragraph Roles|Selection Marks|Tables|Key-Value Pairs|Languages|Barcodes|Document Analysis|Formulas*|Style Font*|High Resolution*|Searchable PDF
 |:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|:----|
-|prebuilt-read|✓| |✓ | | | | |O|O| |O|O|O|✓|
-|prebuilt-layout|✓|✓|✓|✓|✓|✓| |O|O| |O|O|O|
-|prebuilt-document|✓|✓|✓|✓|✓|✓|✓|O|O| |O|O|O|
-|prebuilt-businessCard|✓|✓| | | | | | | |✓| | | |
-|prebuilt-contract|✓|✓|✓|✓| | |O|O|✓|✓|O|O||
+|prebuilt-read|✓| |✓| | | | |O|O| |O|O|O|O|
+|prebuilt-layout|✓|✓|✓|✓|✓|✓|O|O|O| |O|O|O|
+|prebuilt-contract|✓|✓|✓|✓|✓ | | |O|O|✓|O|O|
 |prebuilt-healthInsuranceCard.us|✓|✓| | | | | |O|O|✓|O|O|O|
 |prebuilt-idDocument|✓|✓|| | | | |O|O|✓|O|O|O|
 |prebuilt-invoice|✓|✓| | |✓|✓|O|O|O|✓|O|O|O|
 |prebuilt-receipt|✓|✓| | | | | |O|O|✓|O|O|O|
-|prebuilt-marriageCertificate.us | ✓|✓ | | | | | | O | O |✓ | O | O | O |
+|prebuilt-marriageCertificate.us | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
 |prebuilt-creditCard | ✓|✓ | | | | | | O | O |✓ | O | O | O |
 |prebuilt-check.us | ✓|✓ | | | | | | O | O |✓ | O | O | O |
 |prebuilt-payStub.us | ✓|✓ | | | | | | O | O |✓ | O | O | O |
 |prebuilt-bankStatement | ✓|✓ | | | | | | O | O |✓ | O | O | O |
-|prebuilt-mortgage.us.1003 | ✓|✓ | | | | | | O | O |✓ | O | O | O |
-|prebuilt-mortgage.us.1004 | ✓|✓ | | | | | | O | O |✓ | O | O | O |
-|prebuilt-mortgage.us.1005 | ✓|✓ | | | | | | O | O |✓ | O | O | O |
-|prebuilt-mortgage.us.1008 | ✓|✓ | | | | | | O | O |✓ | O | O | O |
-|prebuilt-mortgage.us.closingDisclosure | ✓|✓ | | | | | | O | O |✓ | O | O | O |
+|prebuilt-mortgage.us.1003 | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
+|prebuilt-mortgage.us.1004 | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
+|prebuilt-mortgage.us.1005 | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
+|prebuilt-mortgage.us.1008 | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
+|prebuilt-mortgage.us.closingDisclosure | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
 |prebuilt-tax.us|✓|✓| | |✓| | |O|O|✓|O|O|O|
 |prebuilt-tax.us.w2|✓|✓| | |✓| | |O|O|✓|O|O|O|
+|prebuilt-tax.us.w4|✓|✓| | | | | |O|O|✓|O|O|O|
+|prebuilt-tax.us.1040 (various) | ✓|✓ | | |✓| | | O | O |✓ | O | O | O |
+|prebuilt-tax.us.1095A|✓|✓| | | | | |O|O|✓|O|O|O|
+|prebuilt-tax.us.1095C|✓|✓| | | | | |O|O|✓|O|O|O|
 |prebuilt-tax.us.1098|✓|✓| | |✓| | |O|O|✓|O|O|O|
 |prebuilt-tax.us.1098E|✓|✓| | |✓| | |O|O|✓|O|O|O|
 |prebuilt-tax.us.1098T|✓|✓| | |✓| | |O|O|✓|O|O|O|
-|prebuilt-tax.us.1099(variations)|✓|✓| | |✓| | |O|O|✓|O|O|O|
-|prebuilt-tax.us.1040(variations) | ✓|✓ | | | | | | O | O |✓ | O | O | O |
+|prebuilt-tax.us.1099 (various)|✓|✓| | |✓| | |O|O|✓|O|O|O|
+|prebuilt-tax.us.1099SSA|✓|✓| | | | | |O|O|✓|O|O|O|
 |{ customModelName }|✓|✓|✓|✓|✓|✓| |O|O|✓|O|O|O|
 
 ✓ - Enabled</br>

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/18/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -6,14 +6,14 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/31/2024
+ms.date: 11/19/2024
 ---
 
 > [!IMPORTANT]
 >
 > * Document Intelligence public preview releases provide early access to features that are in active development. Features, approaches, and processes may change, prior to General Availability (GA), based on user feedback.
 > * The public preview version of Document Intelligence client libraries default to REST API version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true).
-> * Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently only available in the following Azure regions. Note that the custom generative (document field extraction) model in AI Foundry portal is only available in North Central US region:
+> * Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently only available in the following Azure regions. Note that the custom generative (document field extraction) model in Azure AI Foundry portal is only available in North Central US region:
 >   * **East US**
 >   * **West US2**
 >   * **West Europe**

@@ -2,7 +2,7 @@
 author: laujan
 ms.service: azure-ai-document-intelligence
 ms.topic: include
-ms.date: 07/18/2023
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 

@@ -10,7 +10,7 @@ metadata:
   ms.topic: landing-page
   author: laujan
   ms.author: lajanuar
-  ms.date: 08/21/2024
+  ms.date: 11/19/2024
   monikerRange: '<=doc-intel-4.0.0'
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
 # Limits: https://learn.learn.microsoft.com/help/contribute/contribute-how-to-write-landing-page?branch=main#limits
@@ -70,8 +70,6 @@ landingContent:
      linkLists:
          - linkListType: concept
            links:
-             - text: 🆕 Custom generative model
-               url:  train/custom-generative-extraction.md
              - text: 🆕 Retrieval-Augmented Generation (RAG)
                url:  concept/retrieval-augmented-generation.md
              - text: 🆕 Batch document analysis

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 08/03/2024
+ms.date: 11/19/2024
 ---
 
 # Language support: custom models
@@ -98,8 +98,8 @@ Azure AI Document Intelligence models provide multilingual document processing s
 
 :::moniker-end
 
-## Custom generative 
-Custom generative only supports English `en`
+
+
 
 ## Custom neural
 

@@ -1,12 +1,12 @@
 ---
-title: Language and locale support for Read and Layout document analysis - Document Intelligence 
+title: Language and locale support for Read and Layout document analysis - Document Intelligence
 titleSuffix: Azure AI services
 description: Document Intelligence Read and Layout OCR document analysis model language extraction and detection support
 author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 11/19/2024
 ---
 <!-- markdownlint-disable MD055 -->
 <!-- markdownlint-disable MD056 -->
@@ -595,8 +595,8 @@ The following table lists read model language support for extracting and analyzi
 |Chinese Simplified   |`zh-Hans`|Korean |`ko`|
 |French  |`fr`|Portuguese |`pt`|
 |German  |`de`|Spanish  |`es`|
-|Italian  |`it`| Russian (preview) | `ru` |
-|Thai (preview) | `th` | Arabic (preview) | `ar` |
+|Italian  |`it`| Russian  | `ru` |
+|Thai  | `th` | Arabic  | `ar` |
 
 :::moniker-end
 
@@ -1393,8 +1393,8 @@ The following table lists layout model language support for extracting and analy
 |Chinese Simplified   |`zh-Hans`|Korean |`ko`|
 |French  |`fr`|Portuguese |`pt`|
 |German  |`de`|Spanish  |`es`|
-|Italian  |`it`| Russian (preview) | `ru` |
-|Thai (preview) | `th` | Arabic (preview) | `ar` |
+|Italian  |`it`| Russian  | `ru` |
+|Thai  | `th` | Arabic  | `ar` |
 
 :::moniker-end
 
@@ -1430,8 +1430,8 @@ The following table lists layout model language support for extracting and analy
 |Chinese Simplified   |`zh-Hans`|Korean |`ko`|
 |French  |`fr`|Portuguese |`pt`|
 |German  |`de`|Spanish  |`es`|
-|Italian  |`it`| Russian (preview) | `ru` |
-|Thai (preview) | `th` | Arabic (preview) | `ar` |
+|Italian  |`it`| Russian  | `ru` |
+|Thai  | `th` | Arabic  | `ar` |
 
 :::moniker-end
 
@@ -1442,12 +1442,13 @@ The following table lists layout model language support for extracting and analy
 :::moniker range="doc-intel-4.0.0"
 
 > [!IMPORTANT]
-> With Document Intelligence **v4.0:2024-07-31-preview, 2023-10-31-preview** and going forward, the general document model (prebuilt-document) is being added to layout (prebuilt-layout). To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
+> With Document Intelligence **v4.0:2024-11-30 (GA)**, the general document model (prebuilt-document) is being added to layout (prebuilt-layout). To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
+>
+> | Key value pairs   | version| Model ID |
+> |----------  |---------|--------|
+> |**Layout model** with query string **`features=keyValuePairs`** specified.|&bullet; v4:2024-11-30 (GA)</br>&bullet; v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
+> |General document model|&bullet; v3.1:2023-07-31 (GA)</br>&bullet; v3.0:2022-08-31 (GA)|**`prebuilt-document`**|
 
-| Key value pairs   | version| Model ID |
-|----------  |---------|--------|
-|**Layout model** with query string **`features=keyValuePairs`** specified.|&bullet; v4:2024-02-29-preview, 2023-10-31-preview</br>&bullet; v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
-|General document model|&bullet; v3.1:2023-07-31 (GA)</br>&bullet; v3.0:2022-08-31 (GA)|**`prebuilt-document`**|
 
 :::moniker-end
 

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 02/29/2024
+ms.date: 11/19/2024
 ---
 
 # Language support: prebuilt models
@@ -38,7 +38,7 @@ Azure AI Document Intelligence models provide multilingual document processing s
 
 :::moniker range="doc-intel-4.0.0"
  > [!IMPORTANT]
-> Starting with Document Intelligence **v4.0 (preview)**, and going forward, the business card model (prebuilt-businessCard) is deprecated. To extract data from business cards, use earlier models.
+> Starting with Document Intelligence **v4.0 preview versions**, and going forward, the business card model (prebuilt-businessCard) is deprecated. To extract data from business cards, use earlier models.
 
 | Feature   | version| Model ID |
 |----------  |---------|--------|
@@ -114,6 +114,26 @@ Azure AI Document Intelligence models provide multilingual document processing s
 
 ## ID document
 
+:::moniker range=">=doc-intel-4.0.0"
+
+***Model ID: prebuilt-idDocument***
+
+#### Supported document types
+
+| Region | Document Types |
+|--------|----------------|
+|Worldwide|Passport Book, Passport Card|
+|United States|Driver License, Identification Card, Residency Permit (Green card), Social Security Card, Military ID|
+|North America|Driver License, Identification Card, Residency Permit|
+|South America|Driver License, Identification Card, Residency Permit|
+|Europe|Driver License, Identification Card, Residency Permit|
+|Southeast Asia|Driver License, Identification Card, Residency Permit|
+|India|Driver License, PAN Card, Aadhaar Card|
+|Australia|Driver License, Photo Card, Key-pass ID (including digital version)|
+|New Zealand|Driver License, Identification Card, Residency Permit|
+
+::: moniker-end
+
 :::moniker range=">=doc-intel-3.0.0"
 
 ***Model ID: prebuilt-idDocument***
@@ -392,9 +412,11 @@ Azure AI Document Intelligence models provide multilingual document processing s
   | Model ID | Language  Locale code | Default |
   |--------|:----------------------|:---------|
   |**prebuilt-tax.us.w2**|English (United States)|English (United States) `en-US`|
+  |**prebuilt-tax.us.w4**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us.1099Combo**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us.1098**|English (United States)|English (United States) `en-US`|
+  |**prebuilt-tax.us.1095**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us.1098E**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us.1098T**|English (United States)|English (United States) `en-US`|
   |**prebuilt-tax.us.1099**|English (United States)|English (United States) `en-US`|

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 08/07/2024
+ms.date: 11/19/2024
 ms.author: lajanuar
 ---
 
@@ -18,7 +18,7 @@ ms.author: lajanuar
 # Document processing models
 
 ::: moniker range="doc-intel-4.0.0"
-[!INCLUDE [preview-version-notice](includes/preview-notice.md)]
+
 
 [!INCLUDE [applies to v4.0](includes/applies-to-v40.md)]
 ::: moniker-end
@@ -46,9 +46,9 @@ ms.author: lajanuar
 
 ## Model overview
 
-The following table shows the available models for each current preview and stable API:
+The following table shows the available models for each stable API:
 
-|**Model Type**| **Model**|&bullet; [2024-02-29-preview](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-02-29-preview&preserve-view=true&branch=docintelligence&tabs=HTTP) <br> &bullet; [2023-10-31-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true)|[2023-07-31 (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[2022-08-31 (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
+|**Model Type**| **Model**|&bullet; [2024-11-30 (GA)](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true)|[2023-07-31 (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[2022-08-31 (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
 |----------------|-----------|---|--|---|---|
 |Document analysis models|[Read](prebuilt/read.md)                                  | ✔️| ✔️| ✔️| n/a|
 |Document analysis models|[Layout](prebuilt/layout.md)                              | ✔️| ✔️| ✔️| ✔️|
@@ -63,9 +63,11 @@ The following table shows the available models for each current preview and stab
 |Prebuilt models|[Receipt](prebuilt/receipt.md)                            | ✔️| ✔️| ✔️| ✔️|
 |Prebuilt models|[US Unified Tax*](prebuilt/tax-document.md)                   | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US 1040 Tax*](prebuilt/tax-document.md)                   | ✔️| ✔️| n/a| n/a|
+|Prebuilt models|[US 1095 Tax*](prebuilt/tax-document.md)                    | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US 1098 Tax*](prebuilt/tax-document.md)                   | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US 1099 Tax*](prebuilt/tax-document.md)                 | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US W2 Tax](prebuilt/tax-document.md)                     | ✔️| ✔️| ✔️| n/a|
+|Prebuilt models|[US W4 Tax](prebuilt/tax-document.md)                      | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US Mortgage 1003 URLA](concept-mortgage-documents.md)    | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US Mortgage 1004 URAR](concept-mortgage-documents.md)    | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[US Mortgage 1005](concept-mortgage-documents.md)    | ✔️| n/a| n/a| n/a|
@@ -75,19 +77,32 @@ The following table shows the available models for each current preview and stab
 |Prebuilt models|[Credit card](concept-credit-card.md)   | ✔️| n/a| n/a| n/a|
 |Prebuilt models|[Business card](concept-business-card.md)                | deprecated|✔️|✔️|✔️ |
 |Custom classification model|[Custom classifier](train/custom-classifier.md)        | ✔️| ✔️| n/a| n/a|
-|Custom Generative Model|[Custom Generative Model](train/custom-generative-extraction.md)   | ✔️| n/a| n/a| n/a|
 |Custom extraction model|[Custom neural](train/custom-neural.md)                | ✔️| ✔️| ✔️| n/a|
-|Customextraction model|[Custom template](train/custom-template.md)            | ✔️| ✔️| ✔️| ✔️|
+|Custom extraction model|[Custom template](train/custom-template.md)            | ✔️| ✔️| ✔️| ✔️|
 |Custom extraction model|[Custom composed](train/composed-models.md)            | ✔️| ✔️| ✔️| ✔️|
 |All models|[Add-on capabilities](concept-add-on-capabilities.md)    | ✔️| ✔️| n/a| n/a|
 
-\* - Contains submodels. See the model specific information for supported variations and subtypes.
+\* - Contains submodels. See the model specific information for supported variations and subtypes. </br>
+\**- All the capabilites of General Document model are available in layout model. General model is no longer supported. 
 
 ### Latency
 
 Latency is the amount of time it takes for an API server to handle and process an incoming request and deliver the outgoing response to the client. The time to analyze a document depends on the size (for example, number of pages) and associated content on each page. Document Intelligence is a multitenant service where latency for similar documents is comparable but not always identical. Occasional variability in latency and performance is inherent in any microservice-based, stateless, asynchronous service that processes images and large documents at scale. Although we're continuously scaling up the hardware and capacity and scaling capabilities, you might still have latency issues at runtime.
 
-|**Add-on Capability**| **Add-On/Free**|&bullet; [2024-02-29-preview](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-02-29-preview&preserve-view=true&branch=docintelligence&tabs=HTTP) <br>&bullet [2023-10-31-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
+### Add-on Capability
+
+Following are the add-on capability available in document intelligence. For all models, except Business card model, Document Intelligence now supports add-on capabilities to allow for more sophisticated analysis. These optional capabilities can be enabled and disabled depending on the scenario of the document extraction. There are seven add-on capabilities available for the `2023-07-31` (GA) and later API version:
+
+* [`ocrHighResolution`](concept-add-on-capabilities.md#high-resolution-extraction)
+* [`formulas`](concept-add-on-capabilities.md#formula-extraction)
+* [`styleFont`](concept-add-on-capabilities.md#font-property-extraction)
+* [`barcodes`](concept-add-on-capabilities.md#barcode-property-extraction)
+* [`languages`](concept-add-on-capabilities.md#language-detection)
+* [`keyValuePairs`](concept-add-on-capabilities.md#key-value-pairs)
+* [`queryFields`](concept-add-on-capabilities.md#query-fields)  `Not available with the US.Tax models`
+* [`searchablePDF`](prebuilt/read.md#searchable-pdf)  `Only available for Read Model`
+
+|**Add-on Capability**| **Add-On/Free**|&bullet; **2024-11-30 (GA)**|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
 |----------------|-----------|---|--|---|---|
 |Font property extraction|Add-On| ✔️| ✔️| n/a| n/a|
 |Formula extraction|Add-On| ✔️| ✔️| n/a| n/a|
@@ -114,17 +129,6 @@ A bounding box (`polygon` in v3.0 and later versions) is an abstract rectangle t
 
 * Image coordinates are presented in pixels. For a PDF, coordinates are presented in inches.
 
-For all models, except Business card model, Document Intelligence now supports add-on capabilities to allow for more sophisticated analysis. These optional capabilities can be enabled and disabled depending on the scenario of the document extraction. There are seven add-on capabilities available for the `2023-07-31` (GA) and later API version:
-
-* [`ocrHighResolution`](concept-add-on-capabilities.md#high-resolution-extraction)
-* [`formulas`](concept-add-on-capabilities.md#formula-extraction)
-* [`styleFont`](concept-add-on-capabilities.md#font-property-extraction)
-* [`barcodes`](concept-add-on-capabilities.md#barcode-property-extraction)
-* [`languages`](concept-add-on-capabilities.md#language-detection)
-* [`keyValuePairs`](concept-add-on-capabilities.md#key-value-pairs) (2024-02-29-preview, 2023-10-31-preview)
-* [`queryFields`](concept-add-on-capabilities.md#query-fields) (2024-02-29-preview, 2023-10-31-preview) `Not available with the US.Tax models`
-* [`searchablePDF`](prebuilt/read.md#searchable-pdf) (2024-07-31-preview) `Only available for Read Model`
-
 ## Language support
 
 The deep-learning-based universal models in Document Intelligence support many languages that can extract multilingual text from your images and documents, including text lines with mixed languages.
@@ -193,7 +197,9 @@ The US tax document models analyze and extract key fields and line items from a
   |Model|Description|ModelID|
   |---|---|---|
   |US Tax W-2|Extract taxable compensation details.|**prebuilt-tax.us.w2**|
+  |US Tax W-4|Extract taxable compensation details.|**prebuilt-tax.us.w4**|
   |US Tax 1040|Extract mortgage interest details.|**prebuilt-tax.us.1040(variations)**|
+  |US Tax 1095|Extract health insurance details.|**prebuilt-tax.us.1095(variations)**|
   |US Tax 1098|Extract mortgage interest details.|**prebuilt-tax.us.1098(variations)**|
   |US Tax 1099|Extract income received from sources other than employer.|**prebuilt-tax.us.1099(variations)**|
 
@@ -214,10 +220,11 @@ The US mortgage document models analyze and extract key fields including borrowe
   |Model|Description|ModelID|
   |---|---|---|
   |1003 End-User License Agreement (EULA)|Extract loan, borrower, property details.|**prebuilt-mortgage.us.1003**|
+  |1004 Uniform Residential Appraisal Report (URAR))|Extract loan, borrower, property details.|**prebuilt-mortgage.us.1004**|
+  |1005 Verification of Employment|Extract loan, borrower, property details.|**prebuilt-mortgage.us.1005**|
   |1008 Summary document|Extract borrower, seller, property, mortgage, and underwriting details.|**prebuilt-mortgage.us.1008**|
   |Closing disclosure|Extract closing, transaction costs, and loan details.|**prebuilt-mortgage.us.closingDisclosure**|
-  |Marriage certificate|Extract marriage information details for joint loan applicants.|**prebuilt-marriageCertificate**|
-  |US Tax W-2|Extract taxable compensation details for income verification.|**prebuilt-tax.us.w2**|
+ 
 
 ***Sample Closing disclosure document processed using [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=mortgage.us.closingDisclosure)***:
 
@@ -239,11 +246,50 @@ The US mortgage document models analyze and extract key fields including borrowe
 > [!div class="nextstepaction"]
 > [Learn more: contract model](prebuilt/contract.md)
 
+### US Bank Check
+
+:::image type="icon" source="media/overview/icon-contract.png":::
+
+ The contract model analyzes and extracts key fields from check including check details, account details, amount, memo, is extracted from US bank checks.
+ 
+***Sample bank check processed using [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=check.us)***:
+
+:::image type="content" source="media/studio/analyze-bank-check.png" alt-text="Screenshot of bank check model extraction using Document Intelligence Studio.":::
+
+> [!div class="nextstepaction"]
+> [Learn more: contract model](prebuilt/bank-check.md)
+
+### US Bank Statement
+
+:::image type="icon" source="media/overview/icon-contract.png":::
+
+ The bank statement model analyzes and extracts key fields and line items from US bank statements account number, bank details, statement details and transaction details.
+
+***Sample bank statement processed using [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=bankStatement.us)***:
+
+:::image type="content" source="media/studio/analyze-bank-statement.png" alt-text="Screenshot of bank statement model extraction using Document Intelligence Studio.":::
+
+> [!div class="nextstepaction"]
+> [Learn more: contract model](prebuilt/bank-statement.md)
+
+### PayStub
+
+:::image type="icon" source="media/overview/icon-contract.png":::
+
+ The paystub model analyzes and extracts key fields and line items from documents and files with payroll related information.
+
+***Sample paystub processed using [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=payStub.us)***:
+
+:::image type="content" source="media/studio/analyze-pay-stub.png" alt-text="Screenshot of pay stub model extraction using Document Intelligence Studio.":::
+
+> [!div class="nextstepaction"]
+> [Learn more: contract model](prebuilt/pay-stub.md)
+
 ### Invoice
 
 :::image type="icon" source="media/studio/invoice.png":::
 
-The invoice model automates processing of invoices to extracts customer name, billing address, due date, and amount due, line items, and other key data. Currently, the model supports English, Spanish, German, French, Italian, Portuguese, and Dutch invoices.
+The invoice model automates processing of invoices to extracts customer name, billing address, due date, and amount due, line items, and other key data. 
 
 ***Sample invoice processed using [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice)***:
 
@@ -327,7 +373,7 @@ Version v3.0 and later custom models support signature detection in custom templ
 
 :::image type="icon" source="media/studio/custom-extraction.png":::
 
-Custom extraction model can be one of two types, **custom template** or **custom neural**. To create a custom extraction model, label a dataset of documents with the values you want extracted and train the model on the labeled dataset. You only need five examples of the same form or document type to get started.
+Custom extraction model can be one of three types, **custom template**, **custom neural**. To create a custom extraction model, label a dataset of documents with the values you want extracted and train the model on the labeled dataset. You only need five examples of the same form or document type to get started.
 
 ***Sample custom extraction processed using [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)***: