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API Management allows you to secure access to the backend service of an API using client certificates. This guide shows how to manage certificates in an Azure API Management service instance using the Azure portal. It also explains how to configure an API to use a certificate to access a backend service.
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You can also manage API Management certificates using the [API Management REST API](/rest/api/apimanagement/2020-06-01-preview/certificate).
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You can also manage API Management certificates using the [API Management REST API](/rest/api/apimanagement/2020-12-01/certificate).
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/quickstarts/try-v3-form-recognizer-studio.md
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@@ -3,7 +3,7 @@ title: "Quickstart: Form Recognizer Studio | Preview"
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titleSuffix: Azure Applied AI Services
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description: Form and document processing, data extraction, and analysis using Form Recognizer Studio (preview)
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author: sanjeev3
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manager: nitinme
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manager: netahw
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: quickstart
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1. Review and confirm your selections.
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:::image border="true" type="content" source="../media/quickstarts/form-recognizer-studio-get-started.gif" alt-text="Form Recognizer Studio Getting Started example":::
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:::image border="true" type="content" source="../media/quickstarts/form-recognizer-studio-get-started-v2.gif" alt-text="Form Recognizer Studio Getting Started example":::
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## Layout
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1. In the output section's Result tab, browse the JSON output to understand the service response format. Copy and download to jumpstart integration.
After the project creation step, in the custom model phase:
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1. From the labeling view, start defining the labels and their types that you are interested in extracting.
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1. From the labeling view, define the labels and their types that you are interested in extracting.
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1.Assign the labels to the corresponding content by selecting it and the applicable label from the drop-down list or by clicking the same label in the labels pane.
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1.Select the text in the document and click the label from the drop-down list or the labels pane.
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1. Label four more documents to get at least five documents labeled.
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1. Select the Train command and enter model name and description to start training your custom model.
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1. Once the model is ready, use the Test command to validate the mode with your test documents and observe the results.
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1. Once the model is ready, use the Test command to validate it with your test documents and observe the results.
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1. Select multiple models and compose them into a new model to be used in your applications.
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## Labeling as tables
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While creating your custom models, you may need to extract collections of values from your documents. These collections appear in various formats. For example:
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* A dynamic collection of values (rows) for a given set of fields (columns)
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* A fixed collection of values grouped by a second set of fields (rows or columns)
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### Label as dynamic table
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For labeling dynamic rows of data for a given set of fields:
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1. Add a new "Table" type label, select "Dynamic table" type, and name your label.
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1. Add the number of columns (fields) and rows (for data) that you need.
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1. Select the text in your page and then click the cell to assign to the text. Repeat for all rows and columns in all pages in all documents.
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