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.openpublishing.redirection.json

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"redirect_url": "/azure/operational-excellence/relocation-key-vault",
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articles/ai-services/.openpublishing.redirection.ai-services-from-cog.json

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articles/ai-services/.openpublishing.redirection.applied-ai-services.json

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articles/ai-services/document-intelligence/choose-model-feature.md

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::: moniker-end
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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1 (preview)**](?view=doc-intel-3.1.0&preserve-view=true)
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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true)
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Azure AI Document Intelligence supports a wide variety of models that enable you to add intelligent document processing to your applications and optimize your workflows. Selecting the right model is essential to ensure the success of your enterprise. In this article, we explore the available Document Intelligence models and provide guidance for how to choose the best solution for your projects.

articles/ai-services/document-intelligence/concept-custom-label-tips.md

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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1 (preview)**](?view=doc-intel-3.1.0&preserve-view=true)
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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true)
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This article highlights the best methods for labeling custom model datasets in the Document Intelligence Studio. Labeling documents can be time consuming when you have a large number of labels, long documents, or documents with varying structure. These tips should help you label documents more efficiently.

articles/ai-services/document-intelligence/concept-custom-neural.md

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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1 (preview)**](?view=doc-intel-3.1.0&preserve-view=true)
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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true)
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Custom neural document models or neural models are a deep learned model type that combines layout and language features to accurately extract labeled fields from documents. The base custom neural model is trained on various document types that makes it suitable to be trained for extracting fields from structured, semi-structured, and unstructured documents. Custom neural models are available in the [v3.0 and later models](v3-1-migration-guide.md) The table below lists common document types for each category:

articles/ai-services/document-intelligence/concept-document-intelligence-studio.md

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**This content applies to:** ![checkmark](media/yes-icon.png) **v3.0 (GA)** | **Latest versions:** ![purple-checkmark](media/purple-yes-icon.png) [**v4.0 (preview)**](?view=doc-intel-4.0.0&preserve-view=true) ![purple-checkmark](media/purple-yes-icon.png) [**v3.1**](?view=doc-intel-3.1.0&preserve-view=true)
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[Document Intelligence Studio](https://documentintelligence.ai.azure.com/) is an online tool for visually exploring, understanding, and integrating features from the Document Intelligence service into your applications. Use the Document Intelligence Studio to:

articles/ai-services/document-intelligence/concept-general-document.md

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The General document model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to extract key-value pairs, tables, and selection marks from documents. General document is available with the v3.1 and v3.0 APIs. For more information, _see_ our [migration guide](v3-1-migration-guide.md).

articles/ai-services/document-intelligence/concept-health-insurance-card.md

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The Document Intelligence health insurance card model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from US health insurance cards. A health insurance card is a key document for care processing and can be digitally analyzed for patient onboarding, financial coverage information, cashless payments, and insurance claim processing. The health insurance card model analyzes health card images; extracts key information such as insurer, member, prescription, and group number; and returns a structured JSON representation. Health insurance cards can be presented in various formats and quality including phone-captured images, scanned documents, and digital PDFs.

articles/ai-services/document-intelligence/concept-read.md

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> [!NOTE]

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