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Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/overview.md
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## Models and development options
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> [!NOTE]
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>The following document understanding models and development options are supported by the Document Intelligence service v3.0.
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You can use Document Intelligence to automate document processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities. Use the links in the table to learn more about each model and browse development options.
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### Read
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>[!TIP]
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> * For an enhanced experience and advanced model quality, try the [Document Intelligence v3.0 Studio](https://formrecognizer.appliedai.azure.com/studio).
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> * The v3.0 Studio supports any model trained with v2.1 labeled data.
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> * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
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> [!NOTE]
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> The following models and development options are supported by the Document Intelligence service v2.1.
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> * For an enhanced experience and advanced model quality, try the [Document Intelligence v3.0 Studio](https://formrecognizer.appliedai.azure.com/studio):
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> * The v3.0 Studio supports any model trained with v2.1 labeled data.
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> * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
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Use the links in the table to learn more about each model and browse the API references:
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/studio-overview.md
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> [!IMPORTANT]
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>
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> *There are separate URLs for Document Intelligence Studio sovereign cloud regions.
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> * Azure for US Government: [Document Intelligence Studio (Azure Fairfax cloud)](https://formrecognizer.appliedai.azure.us/studio)
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> * Microsoft Azure operated by 21Vianet: [Document Intelligence Studio (Azure in China)](https://formrecognizer.appliedai.azure.cn/studio)
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> *Document Intelligence Studio has distinct URLs for sovereign cloud regions.
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> * Azure for US Government: [Document Intelligence Studio (`Azure Fairfax`)](https://formrecognizer.appliedai.azure.us/studio)
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> * Microsoft Azure operated by 21Vianet: [Document Intelligence Studio (`Azure China`)](https://formrecognizer.appliedai.azure.cn/studio)
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The studio supports Document Intelligence v3.0 and later API versions for model analysis and custom model training. Previously trained v2.1 models with labeled data are supported, but not v2.1 model training. Refer to the [REST API migration guide](v3-1-migration-guide.md) for detailed information about migrating from v2.1 to v3.0.
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***An Azure AI services or Document Intelligence resource**. Once you have your Azure subscription, create a [single-service](https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer) or [multi-service](https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices) resource, in the Azure portal to get your key and endpoint. Use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!TIP]
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> Create an Azure AI services resource if you plan to access multiple Azure AI services under a single endpoint/key. For Document Intelligence access only, create a Document Intelligence resource. Please note that you'll need a single-service resource if you intend to use [Microsoft Entra authentication](/azure/active-directory/authentication/overview-authentication).
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> Create an Azure AI services resource if you plan to access multiple Azure AI services under a single endpoint/key. For Document Intelligence access only, create a Document Intelligence resource. You need a single-service resource if you intend to use [Microsoft Entra authentication](/azure/active-directory/authentication/overview-authentication).
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> Document Intelligence now supports AAD token authentication additional to local (key-based) authentication when accessing the Document Intelligence resources and storage accounts. Be sure to follow below instructions to setup correct access roles, especially if your resources are applied with `DisableLocalAuth` policy.
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> Document Intelligence now supports Azure Active Directory (Azure AD) token authentication in addition to local (key-based) authentication when accessing the Document Intelligence resources and storage accounts. Be sure to follow below instructions to set up correct access roles, especially if your resources are applied with `DisableLocalAuth` policy.
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There are added prerequisites for using custom models in Document Intelligence Studio. Refer to the [documentation](quickstarts/studio-custom-project.md) for step by step guidance.
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*[Prevent Shared Key authorization for an Azure Storage account](/azure/storage/common/shared-key-authorization-prevent)
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> [!NOTE]
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> If local (key-based) authentication is disabled for your Document Intelligence service resource, be sure to obtain **Cognitive Services User** role and your AAD token will be used to authenticate requests on Document Intelligence Studio. The **Contributor** role only allows you to list keys but does not give you permission to use the resource when key-access is disabled.
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> If local (key-based) authentication is disabled for your Document Intelligence service resource, be sure to obtain **Cognitive Services User** role and your Azure AD token to authenticate requests on Document Intelligence Studio. The **Contributor** role only allows you to list keys but doesn't give you permission to use the resource when key-access is disabled.
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***Designating role assignments**. Document Intelligence Studio basic access requires the [`Cognitive Services User`](/azure/role-based-access-control/built-in-roles/ai-machine-learning#cognitive-services-user) role. For more information, *see*[Document Intelligence role assignments](quickstarts/try-document-intelligence-studio.md#azure-role-assignments).
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> * ✔️ **Cognitive Services User**: you need this role to Document Intelligence or Azure AI services resource to enter the analyze page.
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> * ✔️ **Contributor**: you need this role to create resource group, Document Intelligence service, or Azure AI services resource.
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> * In Azure context, Contributor role can only perform actions to control and manage the resource itself, including listing the access keys.
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> * User accounts with a Contributor are only able to access the Document Intelligence service by calling with access keys. However, when setting up access with Entra ID, key-access will be disabled and **Cognitive Service User** role will be required for an account to use the resources.
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> * User accounts with a Contributor are only able to access the Document Intelligence service by calling with access keys. However, when setting up access with Entra ID, key-access is disabled and **Cognitive Service User** role is required for an account to use the resources.
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