Merge pull request #6285 from laujan/6280-additi

6280 additi

Author: prmerger-automator[bot]

articles/ai-services/document-intelligence/how-to-guides/build-a-custom-model.md

@@ -49,7 +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](../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. 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-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.
 
@@ -60,7 +60,7 @@ The Document Intelligence Studio provides and orchestrates all the API calls req
     1. On the next step in the workflow, choose or create a Document Intelligence resource before you select continue.
 
     > [!IMPORTANT]
-    > Custom neural models are only available in a few regions. If you plan on training a neural model, please select or create a resource in one of [these supported regions](../train/custom-neural.md#supported-regions).
+    > Custom neural models are only available in a few regions. If you plan on training a neural model, select or create a resource in one of [these supported regions](../train/custom-neural.md#supported-regions).
 
     :::image type="content" source="../media/how-to/studio-custom-configure-resource.png" alt-text="Screenshot of Select the Document Intelligence resource.":::
 

articles/ai-services/document-intelligence/overview.md

@@ -41,7 +41,7 @@ monikerRange: '<=doc-intel-4.0.0'
 
 :::moniker-end
 
-Azure AI Document Intelligence is a cloud-based [Azure AI service](../../ai-services/index.yml) that enables you to build intelligent document processing solutions. Massive amounts of data, spanning a wide variety of data types, are stored in forms and documents. Document Intelligence enables you to effectively manage the velocity at which data is collected and processed and is key to improved operations, informed data-driven decisions, and enlightened innovation.</br></br>For information on region access, *see* Azure AI Services [Product Availability by Region](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/table).</br></br>
+Azure AI Document Intelligence is a cloud-based [Azure AI service](../../ai-services/index.yml) that enables you to build intelligent document processing solutions. Massive amounts of data, spanning a wide variety of data types, are stored in forms and documents. Document Intelligence enables you to effectively manage the velocity at which data is collected and processed and is key to improved operations, informed data-driven decisions, and enlightened innovation. For information on region access, *see* Azure AI Services [Product Availability by Region](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/table).</br></br>
 
 | ✔️ [**Document analysis models**](#document-analysis-models) | ✔️ [**Prebuilt models**](#prebuilt-models) | ✔️ [**Custom models**](#custom-model-overview) |
 

articles/ai-services/document-intelligence/prebuilt/id-document.md

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 02/10/2025
+ms.date: 07/29/2025
 ms.author: lajanuar
 ms.custom: references.regions
 ---
@@ -32,7 +32,14 @@ ms.custom: references.regions
 
 ::: moniker range=">=doc-intel-3.0.0"
 
-Document Intelligence Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents. The API analyzes identity documents (including the following) and returns a structured JSON data representation.
+> [!NOTE]
+>
+> Document Intelligence `v4.0 2024-11-30 (GA)` API for the prebuilt Identity document (ID) model now supports identification documents from all regions worldwide, including expanded coverage across the United States, Asia, Europe, Africa, and Oceania.
+>
+
+> [!NOTE]
+>
+> Document Intelligence Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents. The API analyzes identity documents (including the following) and returns a structured JSON data representation.
 
 | Region | Document types |
 |--------|----------------|

articles/ai-services/document-intelligence/quickstarts/studio-custom-project.md

@@ -24,7 +24,7 @@ monikerRange: '>=doc-intel-3.0.0'
 
 For details on subscription, resource, and authentication setup, *see* [Get started with Document Intelligence Studio](get-started-studio.md#prerequisites-for-new-users).
 
-## Additional prerequisites for custom projects
+## Prerequisites for custom projects
 
 In addition to the Azure account and a Document Intelligence or Azure AI Foundry resource, you need: