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articles/ai-services/document-intelligence/prebuilt/layout.md

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@@ -63,9 +63,9 @@ Document Intelligence v4.0: 2024-11-30 (GA) layout model supports the following
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* **Image dimensions**: The image dimensions must be between 50 pixels x 50 pixels and 10,000 pixels x 10,000 pixels.
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* **Text height**: The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8-point text at 150 dots per inch.
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* **Custom model training**: The maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.
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* **Custom extraction model training**: The total size of training data is 50 MB for the template model and 1 GB for the neural model.
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* **Custom classification model training**: The total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is 2 GB with a maximum of 10,000 pages.
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* **Custom extraction model training**: The total size of training data is 50 MB for the template model and 1 GB for the neural model.
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* **Custom classification model training**: The total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is 2 GB with a maximum of 10,000 pages.
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* **Office file types (DOCX, XLSX, PPTX)**: The maximum string length limit is 8 million characters.
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For more information on model usage, quotas, and service limits, see [Service limits](../service-limits.md).
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* **Password locks**: If your PDFs are password-locked, you must remove the lock before submission.
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* **Text height**: The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8-point text at 150 dots per inch.
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* **Custom model training**: The maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.
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* **Custom extraction model training**: The total size of training data is 50 MB for the template model and 1 GB for the neural model.
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* **Custom classification model training**: The total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is 2 GB with a maximum of 10,000 pages.
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* **Custom extraction model training**: The total size of training data is 50 MB for the template model and 1 GB for the neural model.
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* **Custom classification model training**: The total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-11-30 (GA), the total size of training data is 2 GB with a maximum of 10,000 pages.
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* **Office file types (DOCX, XLSX, PPTX)**: The maximum string length limit is 8 million characters.
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:::moniker-end
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articles/ai-services/document-intelligence/quickstarts/get-started-studio.md

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* Make sure that you have the Cognitive Services User role and not the Cognitive Services Contributor role when you set up Microsoft Entra ID authentication:
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* ✔️ **Cognitive Services User**: You need this role for the Document Intelligence or Azure AI Foundry resource to enter the analyze page.
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* ✔️ **Contributor**: You need this role to create a resource group, Document Intelligence service, or Azure AI Foundry resource.
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* **Cognitive Services User**: You need this role for the Document Intelligence or Azure AI Foundry resource to enter the analyze page.
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* **Contributor**: You need this role to create a resource group, Document Intelligence service, or Azure AI Foundry resource.
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* In Azure context, the Contributor role can perform actions only to control and manage the resource itself, including listing the access keys.
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* User accounts with a Contributor role can access the Document Intelligence service only by calling with access keys. When you set up access with Microsoft Entra ID, key access is disabled, and the Cognitive Services User role is required for an account to use the resources.
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articles/ai-services/document-intelligence/studio-overview.md

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## Related content
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* See [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio).
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* See [Azure AI Foundry portal](https://ai.azure.com/explore/aiservices/vision).
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* See the [Azure AI Foundry portal](https://ai.azure.com/explore/aiservices/vision).
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* Get started with the [Document Intelligence Studio quickstart](quickstarts/get-started-studio.md).

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