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>[!NOTE]
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> Form Recognizer Studio is currently in public preview. Some features may not be supported or have limited capabilities.
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[Form Recognizer Studio preview](https://formrecognizer.appliedai.azure.com/) is an online tool to visually explore, understand, and integrate features from the Form Recognizer service into your applications. Form Recognizer Studio provides a platform for you to experiment with the different Form Recognizer models and sample their returned data in an interactive manner without the need to write any code. After trying Form Recognizer Studio, you can use the available client libraries and REST APIs to get started adding models and incorporating features to your own applications.
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[Form Recognizer Studio preview](https://formrecognizer.appliedai.azure.com/) is an online tool to visually explore, understand, and integrate features from the Form Recognizer service into your applications. The studio provides a platform for you to experiment with the different Form Recognizer models and sample their returned data in an interactive manner without the need to write code.
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The studio supports all Form Recognizer v3.0 models v2.1 models with labeled data. Refer to the [REST API migration guide](v3-migration-guide.md) for detailed information about migrating from v2.1 to v3.0.
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## Get started using Form Recognizer Studio
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1. To use Form Recognizer Studio, you'll need the following resources:
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1. To use Form Recognizer Studio, you'll need the following assets:
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***Azure subscription** - [Create one for free](https://azure.microsoft.com/free/cognitive-services/).
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***A Cognitive Services or Form Recognizer 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.CognitiveServicesAllInOne) resource, in the Azure portal to get your key and endpoint.
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***Cognitive Services or Form Recognizer 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.CognitiveServicesAllInOne) resource, in the Azure portal to get your key and endpoint.
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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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*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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>
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> * Create a Cognitive Services (multi-service) resource if you plan to access multiple cognitive services under a single endpoint/key.
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> * For single-service 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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1. Navigate to the Form Recognizer Studio. If it's your first time logging in, a popup window will appear prompting you to configure your service resource. You have two options:
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**b. Access by API endpoint and key**.
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* You can retrieve your endpoint and key from the Azure portal.
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* Go to the overview page for your resource and select **Keys and Endpoint** from the left navigation bar.
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* Retrieve your endpoint and key from the Azure portal.
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* Go to the overview page for your resource and select **Keys and Endpoint** from the left navigation bar.
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:::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
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1. Once you've completed configuring your resource, you'll be able to try the different models offered by Form Recognizer Studio.
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:::image type="content" source="media/studio/form-recognizer-studio-front.png" alt-text="Screenshot of Form Recognizer Studio front page.":::
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1. From the front page, select any model to easily try Form Recognizer using a no-code approach. Each model is explained in depth in the concepts section.
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1. From the front page, select any Form Recognizer model to try using a no-code approach. Each model is explained in depth in the concepts pages.
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<!-- markdownlint-disable MD033 -->
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### Manage your resource
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In Form Recognizer Studio, select the **Settings** icon in the top-right corner of the studio home page to view your resource. Select the **Resource** tab to view resource details such as name and pricing tier. If you have access to other resources, you can switch resources as well.
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To view resource details such as name and pricing tier, select the **Settings** icon in the top-right corner of the In Form Recognizer Studio home page and select the **Resource** tab. If you have access to other resources, you can switch resources as well.
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:::image type="content" source="media/studio/form-recognizer-studio-resource-page.png" alt-text="Screenshot of the studio settings page resource tab.":::
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Enjoy the Form Recognizer Studio and
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After trying Form Recognizer Studio, you can use the [**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) client libraries or the [**REST API**](quickstarts/try-v3-rest-api.md) to get started incorporating Form Recognizer models into your own applications.
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## Next steps
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* Go to Form Recognizer Studio to begin using the models offered by the service.
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* For more information on models and their capabilities, see [Azure Form Recognizer overview](overview.md).
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* Visit [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio) to begin using the models presented by the service.
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* For more information on Form Recognizer capabilities, see [Azure Form Recognizer overview](overview.md).
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