add dybe pr updates

Author: laujan

articles/ai-services/content-understanding/image/overview.md

@@ -56,6 +56,6 @@ Get started with processing images with Content Understanding by following our [
 ## Next steps
 
 * For guidance on optimizing your Content Understanding implementations, including schema design tips, see our detailed [Best practices guide](../concepts/best-practices.md).
-* For detailed information on supported input image formats, refer to our [Service quotas and limits](../service-limits.md) page.
-* Review code sample: [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates).
-* Refer to our [Data, protection, and privacy policy](https://www.microsoft.com/trust-center/privacy) to learn more about how we handle your data.
+* For detailed information on supported input image formats, *see* [Service quotas and limits](../service-limits.md).
+* To review code samples, *see* [**analyzer templates**](https://github.com/Azure-Samples/azure-ai-content-understanding-python/tree/main/analyzer_templates).
+* For more information on trust and security, *see* [Data, protection, and privacy policy](https://www.microsoft.com/trust-center/privacy).

articles/ai-services/content-understanding/overview.md

@@ -83,7 +83,7 @@ Content Understanding now supports modified content filtering for approved custo
 > * Apply for modified content filters via this form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
 > * For more information, *see* [**Content Filtering**](../openai/concepts/content-filter.md).
 
-To learn more about how to add modified content filtering to your requests, *see* our [REST API quickstart](quickstart/use-rest-api.md#modified-content-filtering).
+To learn more about how to add modified content filtering to your requests, *see* our [REST API quickstart](quickstart/use-rest-api.md).
 
 ## Data privacy and security
 Developers using the Content Understanding service should review Microsoft's policies on customer data. For more information, visit our [**Data, protection and privacy**](https://www.microsoft.com/trust-center/privacy) page.

articles/ai-services/content-understanding/quickstart/use-rest-api.md

@@ -36,8 +36,9 @@ To get started, you need **an active Azure subscription**. If you don't have an
 
 
 ## Get Started with a prebuilt analyzer
-Analyzers define how your content is processed and the insights that are extracted. We offer [prebuilt analyzers](../concepts/prebuilt-analyzers.md) for common use cases. You can [customize prebuilt analyzers](/how-to/create-a-custom-analyzer.md) to better fit your specific needs and use cases. 
-This quickstart uses prebuilt document, image, audio, and video analyzers to help you get started. 
+
+Analyzers define how your content is processed and the insights that are extracted. We offer [prebuilt analyzers](../concepts/prebuilt-analyzers.md) for common use cases. You can [customize prebuilt analyzers](../concepts/prebuilt-analyzers.md) to better fit your specific needs and use cases.
+This quickstart uses prebuilt document, image, audio, and video analyzers to help you get started.
 
 ### Send file for analysis
 #### POST request
@@ -52,7 +53,7 @@ Before running the cURL command, make the following changes to the HTTP request:
 # [Document](#tab/document)
 
 1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
-2. Replace `{analyzerId}` with  `prebuilt-documentAnalyzer`. This analyzer extracts text and layout elements such as paragraphs, sections, and tables from a document. 
+2. Replace `{analyzerId}` with  `prebuilt-documentAnalyzer`. This analyzer extracts text and layout elements such as paragraphs, sections, and tables from a document.
 3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/invoice.pdf`.
 
 # [Image](#tab/image)
@@ -70,7 +71,7 @@ Before running the cURL command, make the following changes to the HTTP request:
 # [Video](#tab/video)
 
 1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
-2. Replace `{analyzerId}` with  `prebuilt-videoAnalyzer`. This analyzer extracts keyframes, transcript, and chapter segments from video. 
+2. Replace `{analyzerId}` with  `prebuilt-videoAnalyzer`. This analyzer extracts keyframes, transcript, and chapter segments from video.
 3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/FlightSimulator.mp4`.
 ---
 
@@ -349,6 +350,6 @@ The 200 (`OK`) JSON response includes a `status` field indicating the status of
 
 ## Next steps
 
-* In this quickstart, you learned how to call the [REST API](/rest/api/contentunderstanding/content-analyzers/analyze?view=rest-contentunderstanding-2025-05-01-preview) using a prebuilt analyzer. See how you can [create a custom analyzer](/how-to/create-a-custom-analyzer) to better fit your use case.
+Learn to [create a custom analyzer](../concepts/analyzers-overview.md) to better fit your use case.