Merge pull request #2305 from laujan/dybe-multiple-updates

denrea · web-flow · commit f6a597ddcbf9 · 2025-01-15T10:38:36.000-08:00
update code sample links
diff --git a/articles/ai-services/content-understanding/audio/overview.md b/articles/ai-services/content-understanding/audio/overview.md
@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 11/19/2024
+ms.date: 01/14/2025
 ms.custom: ignite-2024-understanding-release
 ---
 
@@ -17,7 +17,7 @@ ms.custom: ignite-2024-understanding-release
 > [!IMPORTANT]
 >
 > * Azure AI Content Understanding is available in preview. Public preview releases provide early access to features that are in active development.
-> * Features, approaches, and processes may change or have constrained capabilities, prior to General Availability (GA).
+> * Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).
 > * For more information, *see* [**Supplemental Terms of Use for Microsoft Azure Previews**](https://azure.microsoft.com/support/legal/preview-supplemental-terms).
 
 Content Understanding audio analyzers enable transcription and diarization of conversational audio, extracting structured fields such as summaries, sentiments, and key topics. Customize an audio analyzer template to your business needs using [Azure AI Foundry portal](https://ai.azure.com/) to start generating results.
@@ -82,5 +82,7 @@ Developers using Content Understanding should review Microsoft's policies on cus
 
 ## Next steps
 
-* Try processing your audio content using Content Understanding in [Azure AI Foundry portal](https://ai.azure.com/).
-* Learn more about audio [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Try processing your audio content using Content Understanding in [**Azure AI Foundry portal**](https://ai.azure.com/).
+* Learn how to analyze audio content [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Review code sample: [**audio content extraction**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/blob/main/notebooks/content_extraction.ipynb).
+* Review code sample: [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates).
diff --git a/articles/ai-services/content-understanding/document/overview.md b/articles/ai-services/content-understanding/document/overview.md
@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 11/19/2024
+ms.date: 01/14/2025
 ms.custom: ignite-2024-understanding-release
 ---
 
@@ -16,7 +16,7 @@ ms.custom: ignite-2024-understanding-release
 > [!IMPORTANT]
 >
 > * Azure AI Content Understanding is available in preview. Public preview releases provide early access to features that are in active development.
-> * Features, approaches, and processes may change or have constrained capabilities, prior to General Availability (GA).
+> * Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).
 > * For more information, *see* [**Supplemental Terms of Use for Microsoft Azure Previews**](https://azure.microsoft.com/support/legal/preview-supplemental-terms).
 
 Content Understanding is a cloud-based [Azure AI Service](../../what-are-ai-services.md) designed to efficiently extract content and structured fields from documents and forms. It provides a comprehensive suite of APIs and an intuitive UX experience for optimal efficiency.
@@ -71,4 +71,6 @@ Developers using Content Understanding should review Microsoft's policies on cus
 
 ## Next step
 * Try processing your document content using Content Understanding in [Azure ](https://ai.azure.com/).
-* Learn more about document [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Learn to analyze document content [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Review code samples: [**visual document search**](https://github.com/Azure-Samples/azure-ai-search-with-content-understanding-python/blob/main/notebooks/search_with_visual_document.ipynb).
+* Review code sample: [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates).
diff --git a/articles/ai-services/content-understanding/image/overview.md b/articles/ai-services/content-understanding/image/overview.md
@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: how-to
-ms.date: 11/19/2024
+ms.date: 01/14/2025
 ms.custom: ignite-2024-understanding-release
 ---
 
@@ -16,7 +16,7 @@ ms.custom: ignite-2024-understanding-release
 > [!IMPORTANT]
 >
 > * Azure AI Content Understanding is available in preview. Public preview releases provide early access to features that are in active development.
-> * Features, approaches, and processes may change or have constrained capabilities, prior to General Availability (GA).
+> * Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).
 > * For more information, *see* [**Supplemental Terms of Use for Microsoft Azure Previews**](https://azure.microsoft.com/support/legal/preview-supplemental-terms).
 
 Azure AI Content Understanding standardizes the extraction of data from images, making it easier to analyze large volumes of unstructured data. Standardized extraction speeds up time-to-value and simplifies integration into downstream analytical workflows. With the Content Understanding APIs, you can define schema to specify the fields, descriptions, and output types for extraction. The service then analyses the images and provides structured data, which can be applied in various use cases, such as:
@@ -46,7 +46,7 @@ For detailed information on supported input file formats, refer to our [Service
 > [!NOTE]
 > For best results, image schema should only be used to process non-document-based images.
 > Text heavy images of documents should be processed using a document schema.
-> Use cases that require extraction of text from document images or scanned documents in image formats should be processed using a document field extraction schema.
+> Use cases that require extraction of text from document images or scanned documents should be processed using a document field extraction schema.
 
 ## Supported languages and regions
 For a detailed list of supported languages and regions, visit our [Language and region support](../language-region-support.md) page.
@@ -59,9 +59,11 @@ For detailed information on supported field types, refer to our [Service quotas
 As with all the Azure AI services, developers using the Content Understanding service should be aware of Microsoft's policies on customer data. See our [**Data, protection and privacy**](https://www.microsoft.com/trust-center/privacy) page to learn more.
 
 > [!IMPORTANT]
-> If you are using Microsoft products or services to process Biometric Data, you are responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate and required under applicable Data Protection Requirements. "Biometric Data" will have the meaning set forth in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/legal/cognitive-services/face/data-privacy-security).
+> If you're using Microsoft products or services to process Biometric Data, you're responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate, and required under applicable Data Protection Requirements. "Biometric Data" have the meaning articulated in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/legal/cognitive-services/face/data-privacy-security).
 
 ## Next steps
 
 * Try processing your video content using Content Understanding in [Azure AI Foundry portal](https://ai.azure.com/).
-* Learn more about video [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Learn to analyze video content [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Review code samples: [**image, text, and table, content extraction**](https://github.com/Azure-Samples/azure-ai-search-with-content-understanding-python#samples).
+* Review code sample: [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates).
diff --git a/articles/ai-services/content-understanding/overview.md b/articles/ai-services/content-understanding/overview.md
@@ -18,7 +18,7 @@ ms.custom: ignite-2024-understanding-release
 > [!IMPORTANT]
 >
 > * Azure AI Content Understanding is available in preview. Public preview releases provide early access to features that are in active development.
-> * Features, approaches, and processes may change or have constrained capabilities, prior to General Availability (GA).
+> * Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).
 > * For more information, *see* [**Supplemental Terms of Use for Microsoft Azure Previews**](https://azure.microsoft.com/support/legal/preview-supplemental-terms).
 
 Azure AI Content Understanding is a new Generative AI based [**Azure AI Service**](../what-are-ai-services.md), designed to process/ingest content of any types (documents, images, videos, and audio) into a user-defined output format.
@@ -85,7 +85,3 @@ Our quickstart guides help you quickly start using the Content Understanding ser
 * [**Azure AI Foundry portal Quickstart**](quickstart/use-ai-foundry.md)
 * [**Rest API Quickstart**](quickstart/use-rest-api.md)
 
-
-
-
-
diff --git a/articles/ai-services/content-understanding/video/overview.md b/articles/ai-services/content-understanding/video/overview.md
@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 11/19/2024
+ms.date: 01/14/2025
 ms.custom: ignite-2024-understanding-release
 ---
 
@@ -16,7 +16,7 @@ ms.custom: ignite-2024-understanding-release
 > [!IMPORTANT]
 >
 > * Azure AI Content Understanding is available in preview. Public preview releases provide early access to features that are in active development.
-> * Features, approaches, and processes may change or have constrained capabilities, prior to General Availability (GA).
+> * Features, approaches, and processes can change or have limited capabilities, before General Availability (GA).
 > * For more information, *see* [**Supplemental Terms of Use for Microsoft Azure Previews**](https://azure.microsoft.com/support/legal/preview-supplemental-terms).
 
 Azure AI Content Understanding allows you to extract and customize video metadata. Content Understanding helps efficiently manage, categorize, retrieve, and build workflows for video assets. It enhances your media asset library, supports workflows such as highlight generation, categorizes content, and facilitates applications like retrieval-augmented generation (RAG). 
@@ -86,9 +86,12 @@ For a detailed list of supported languages and regions, visit our [Language and
 As with all the Azure AI services, developers using the Content Understanding service should be aware of Microsoft's policies on customer data. See our [**Data, protection and privacy**](https://www.microsoft.com/trust-center/privacy) page to learn more.
 
 > [!IMPORTANT]
-> Users of Content Understanding can enable features like Face Grouping for videos, which involved processing Biometric Data. If you are using Microsoft products or services to process Biometric Data, you are responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate and required under applicable Data Protection Requirements. "Biometric Data" will have the meaning set forth in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/legal/cognitive-services/face/data-privacy-security).
+> Users of Content Understanding can enable features like Face Grouping for videos, which involved processing Biometric Data. If you're using Microsoft products or services to process Biometric Data, you're responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate, and required under applicable Data Protection Requirements. "Biometric Data" have the meaning articulated in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/legal/cognitive-services/face/data-privacy-security).
 
 ## Next steps
 
- * Try processing your video content using Content Understanding in [Azure portal](https://ai.azure.com/).
-* Learn more about video [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Try processing your video content using Content Understanding in [Azure portal](https://ai.azure.com/).
+* Learn to analyze video content [**analyzer templates**](../quickstart/use-ai-foundry.md).
+* Review code sample: [**video content extraction**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/blob/main/notebooks/content_extraction.ipynb).
+* Review code sample: [**video search with natural language queries**](https://github.com/Azure-Samples/azure-ai-search-with-content-understanding-python/tree/main#samples).
+* Review code sample: [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates)
