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[!INCLUDE [applies to v2.1](../includes/applies-to-v21.md)]
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:::moniker range="<=doc-intel-3.1.0"
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Document Intelligence layout model is an advanced machine-learning based document analysis API available in the Document Intelligence cloud. It enables you to take documents in various formats and return structured data representations of the documents. It combines an enhanced version of our powerful [Optical Character Recognition (OCR)](../../../ai-services/computer-vision/overview-ocr.md) capabilities with deep learning models to extract text, tables, selection marks, and document structure.
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## Document layout analysis
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:::image type="content" source="../media/document-layout-example-new.png" alt-text="Illustration of document layout example.":::
* Supported file formats: JPEG, PNG, PDF, and TIFF.
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* Supported number of pages: For PDF and TIFF, up to 2,000 pages are processed. For free tier subscribers, only the first two pages are processed.
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* Supported file size: the file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.
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### Get started with Layout model
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See how data, including text, tables, table headers, selection marks, and structure information is extracted from documents using Document Intelligence. You need the following resources:
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:::image type="content" source="../media/containers/keys-and-endpoint.png" alt-text="Screenshot of keys and endpoint location in the Azure portal.":::
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