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update what's neural model supported regions and tips for different resources creation
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articles/applied-ai-services/form-recognizer/compose-custom-models-preview.md

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:::image border="true" type="content" source="media/containers/keys-and-endpoint.png" alt-text="Still photo showing how to access resource key and endpoint URL.":::
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> [!TIP]
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> For more information, see* [**create a Form Recognizer resource**](create-a-form-recognizer-resource.md).
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> For more information, see [**create a Form Recognizer resource**](create-a-form-recognizer-resource.md).
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* **An Azure storage account.** If you don't know how to create an Azure storage account, follow the [Azure Storage quickstart for Azure portal](../../storage/blobs/storage-quickstart-blobs-portal.md). You can use the free pricing tier (F0) to try the service, and upgrade later to a paid tier for production.
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articles/applied-ai-services/form-recognizer/concept-custom-neural.md

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## Supported regions
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For the **2022-06-30-preview**, custom neural models can only be trained in the following Azure regions:
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* AustraliaEast
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* BrazilSouth
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* CanadaCentral
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* CentralIndia
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* CentralUS
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* EastUS
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* EastUS2
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* FranceCentral
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* JapanEast
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* JioIndiaWest
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* KoreaCentral
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* NorthEurope
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* SouthCentralUS
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* SoutheastAsia
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* UKSouth
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* WestEurope
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* WestUS
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* WestUS2
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* WestUS3
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Starting on 1 August 2022, Form Recognizer custom neural model training will only be available in the following Azure regions until further notice:
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* Brazil South
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* Canada Central
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* Central India
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* Japan East
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* North Europe
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* South Central US
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* Southeast Asia
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> [!TIP]
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> You can copy a model trained in one of the select regions listed above to **any other region** and use it accordingly.
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> You can [copy a model](disaster-recovery.md) trained in one of the select regions listed above to **any other region** and use it accordingly.
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## Best practices
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articles/applied-ai-services/form-recognizer/deploy-label-tool.md

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>
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> * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](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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> * You can refer to the [API migration guide](v3-migration-guide.md) for detailed information about migrating from v2.1 to v3.0.
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> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk.md) SDK quickstarts to get started with the V3.0 preview.
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> [!NOTE]

articles/applied-ai-services/form-recognizer/how-to-guides/build-custom-model-v3.md

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1. On the next step in the workflow, choose or create a Form Recognizer resource before you select continue.
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> [!IMPORTANT]
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> Custom neural models 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](../concept-custom-neural.md).
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> Custom neural models 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](../concept-custom-neural.md#supported-regions).
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:::image type="content" source="../media/how-to/studio-select-resource.png" alt-text="Screenshot: Select the Form Recognizer resource.":::
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articles/applied-ai-services/form-recognizer/includes/how-to-guides/csharp-sdk.md

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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer" title="Create a Form Recognizer resource" target="_blank">create a Form Recognizer resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Form Recognizer API. Paste your key and endpoint into the code below later in the project.
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* You can 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 a Cognitive Services resource if you plan to access multiple cognitive services under a single endpoint/key. For Form Recognizer access only, create a Form Recognizer resource. Please note that you'll need a single-service resource if you intend to use [Azure Active Directory authentication](../../../active-directory/authentication/overview-authentication.md).
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## Setting up
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articles/applied-ai-services/form-recognizer/includes/how-to-guides/java-sdk.md

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* You will need the key and endpoint from the resource you create to connect your application to the Form Recognizer API. Paste your key and endpoint into the code below.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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* An Azure Storage blob that contains a set of training data. See [Build a training data set for a custom model](../../build-training-data-set.md) for tips and options for putting together your training data set. For this project, you can use the files under the **Train** folder of the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) (download and extract *sample_data.zip*).
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> [!TIP]
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> Create a Cognitive Services resource if you plan to access multiple cognitive services under a single endpoint/key. For Form Recognizer access only, create a Form Recognizer resource. Please note that you'll need a single-service resource if you intend to use [Azure Active Directory authentication](../../../active-directory/authentication/overview-authentication.md).
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## Setting up
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articles/applied-ai-services/form-recognizer/includes/how-to-guides/javascript-sdk.md

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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer" title="Create a Form Recognizer resource" target="_blank">create a Form Recognizer resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Form Recognizer API. You will paste your key and endpoint into the code below later in the project
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* You can 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 a Cognitive Services resource if you plan to access multiple cognitive services under a single endpoint/key. For Form Recognizer access only, create a Form Recognizer resource. Please note that you'll need a single-service resource if you intend to use [Azure Active Directory authentication](../../../active-directory/authentication/overview-authentication.md).
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## Setting up
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articles/applied-ai-services/form-recognizer/includes/how-to-guides/python-sdk.md

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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer" title="Create a Form Recognizer resource" target="_blank">create a Form Recognizer resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You'll need the key and endpoint from the resource you create to connect your application to the Form Recognizer API. Paste your key and endpoint into the code below.
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* You can 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 a Cognitive Services resource if you plan to access multiple cognitive services under a single endpoint/key. For Form Recognizer access only, create a Form Recognizer resource. Please note that you'll need a single-service resource if you intend to use [Azure Active Directory authentication](../../../active-directory/authentication/overview-authentication.md).
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## Setting up
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articles/applied-ai-services/form-recognizer/includes/how-to-guides/rest-api.md

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* A URL for an **image of a business card**. You can use a [sample image](https://raw.githubusercontent.com/Azure/azure-sdk-for-python/master/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_forms/business_cards/business-card-english.jpg) for this quickstart.
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* A URL for an **image of an invoice**. You can use a [sample document](https://raw.githubusercontent.com/Azure/azure-sdk-for-python/master/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_forms/forms/Invoice_1.pdf) for this quickstart.
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* A URL for an **image of an ID document**. You can use a [sample image](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/DriverLicense.png)
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> [!TIP]
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> Create a Cognitive Services resource if you plan to access multiple cognitive services under a single endpoint/key. For Form Recognizer access only, create a Form Recognizer resource. Please note that you'll need a single-service resource if you intend to use [Azure Active Directory authentication](../../../active-directory/authentication/overview-authentication.md).
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## Analyze layout
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articles/applied-ai-services/form-recognizer/label-tool.md

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>
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> * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](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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> * You can refer to the [API migration guide](v3-migration-guide.md) for detailed information about migrating from v2.1 to v3.0.
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> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk.md) SDK quickstarts to get started with the V3.0 preview.
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In this article, you'll use the Form Recognizer REST API with the Sample Labeling tool to train a custom model with manually labeled data.

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