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articles/ai-services/document-intelligence/faq.yml

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- question: |
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How can I move my trained models from one environment (like beta) to another (like production)?
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answer: |
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The Copy API enables this scenario by allowing you to copy custom models from one Document Intelligence account or into others, which can exist in any supported geographical region. Follow [this document](disaster-recovery.md) for detailed instructions. The copy operation is limited to copying models within the specific cloud environment the model was trained in. For instance, copying models from the public cloud to the Azure Government clod isn't supported.
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The Copy API enables this scenario by allowing you to copy custom models from one Document Intelligence account or into others, which can exist in any supported geographical region. Follow [this document](disaster-recovery.md) for detailed instructions. The copy operation is limited to copying models within the specific cloud environment the model was trained in. For instance, copying models from the public cloud to the Azure Government cloud isn't supported.
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Why was I charged for Layout when running custom training?

articles/ai-services/language-service/native-document-support/use-native-documents.md

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Azure AI Language is a cloud-based service that applies Natural Language Processing (NLP) features to text-based data. The native document support capability enables you to send API requests asynchronously, using an HTTP POST request body to send your data and HTTP GET request query string to retrieve the processed data.
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A native document refers to the file format used to create the original document such as Microsoft Word (docx) or a portable document file (pdf). Native document support eliminates the need for text preprocessing prior to using Azure AI Language resource capabilities. Currently, native document support is available for the following capabilities:
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A native document refers to the file format used to create the original document such as Microsoft Word (docx) or a portable document file (pdf). Native document support eliminates the need for text preprocessing before using Azure AI Language resource capabilities. Currently, native document support is available for the following capabilities:
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* [Personally Identifiable Information (PII)](../personally-identifiable-information/overview.md). The PII detection feature can identify, categorize, and redact sensitive information in unstructured text. The `PiiEntityRecognition` API supports native document processing.
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* [Document summarization](../summarization/overview.md). Document summarization uses natural language processing to generate extractive (salient sentence extraction) or abstractive (contextual word extraction) summaries for documents. Both `AbstractiveSummarization` and `ExtractiveSummarization` APIs support native document processing.
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## Supported document formats
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Applications use native file formats to create, save, or open native documents. Currently **PII** and **Document summarization** capabilities supports the following native document formats:
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Applications use native file formats to create, save, or open native documents. Currently **PII** and **Document summarization** capabilities supports the following native document formats:
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|File type|File extension|Description|
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|---------|--------------|-----------|
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> [!NOTE]
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> The cURL package is pre-installed on most Windows 10 and Windows 11 and most macOS and Linux distributions. You can check the package version with the following commands:
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> Windows: `curl.exe -V`.
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> Windows: `curl.exe -V`
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> macOS `curl -V`
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> Linux: `curl --version`
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* [Windows](https://curl.haxx.se/windows/).
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* [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows).
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* An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
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* An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
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* An [**Azure Blob Storage account**](https://portal.azure.com/#create/Microsoft.StorageAccount-ARM). You also need to [create containers](#create-azure-blob-storage-containers) in your Azure Blob Storage account for your source and target files:
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* [**Shared access signature (SAS) tokens**](shared-access-signatures.md). User delegation SAS tokens are secured with Microsoft Entra credentials. SAS tokens provide secure, delegated access to resources in your Azure storage account.
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* [**Managed identity role-based access control (RBAC)**](managed-identities.md). Managed identities for Azure resources are service principals that create a Microsoft Entra identity and specific permissions for Azure managed resources
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* [**Managed identity role-based access control (RBAC)**](managed-identities.md). Managed identities for Azure resources are service principals that create a Microsoft Entra identity and specific permissions for Azure managed resources.
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For this project, we authenticate access to the `source location` and `target location` URLs with Shared Access Signature (SAS) tokens appended as query strings. Each token is assigned to a specific blob (file).
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"language": "en-US",
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"id": "Output-excel-file",
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"source": {
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"location": "{your-source-container-with-SAS-URL}"
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"location": "{your-source-blob-with-SAS-URL}"
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},
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"target": {
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"location": "{your-target-container-with-SAS-URL}"
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{
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"kind": "PiiEntityRecognition",
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"parameters":{
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"excludePiiCategoriesredac" : ["PersonType", "Category2", "Category3"],
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"redactionPolicy": "UseEntityTypeName"
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"excludePiiCategories" : ["PersonType", "Category2", "Category3"],
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"redactionPolicy": "UseRedactionCharacterWithRefId"
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}
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}
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]
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"documents":[
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{
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"source":{
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"location":"{your-source-container-SAS-URL}"
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"location":"{your-source-blob-SAS-URL}"
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},
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"targets":
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{

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