Merge pull request #1548 from bojunehsu/paulhsu/IgniteUpdate

Content Understanding Doc Tweaks

Author: v-shils

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

@@ -46,10 +46,10 @@ Common applications for Content Understanding include:
 
 |Application|Description|Quickstart|
 |:---------|:----------|:----------|
-|Post-call analytics| Businesses and call centers can generate insights from call recordings to track key KPIs, improve product experience, generate business insights, create differentiated customer experiences, and answer queries faster and more accurately.| [**Post-call analytics quickstart**](quickstart/use-ai-foundry.md#audio-analyzer-templates) |
-|Media asset management| Software and media vendors can use Content Understanding to extract richer, targeted information from videos for media asset management solutions.| [**Media asset management quickstart**](quickstart/use-ai-foundry.md#video-analyzer-templates) |
-|Tax automation| Tax preparation companies can use Content Understanding to generate a unified view of information from various documents and create comprehensive tax returns.| [**Tax automation quickstart**](quickstart/use-ai-foundry.md#document-analyzer-templates) | 
-|Chart understanding| Businesses can enhance chart understanding by automating the analysis and interpretation of various types of charts and diagrams using Content Understanding.| [**Chart understanding quickstart**](quickstart/use-ai-foundry.md#image-analyzer-templates) |
+|Post-call analytics| Businesses and call centers can generate insights from call recordings to track key KPIs, improve product experience, generate business insights, create differentiated customer experiences, and answer queries faster and more accurately.| [**Post-call analytics quickstart**](quickstart/use-ai-foundry.md?tabs=audio#analyzer-templates) |
+|Media asset management| Software and media vendors can use Content Understanding to extract richer, targeted information from videos for media asset management solutions.| [**Media asset management quickstart**](quickstart/use-ai-foundry.md?tabs=video#analyzer-templates) |
+|Tax automation| Tax preparation companies can use Content Understanding to generate a unified view of information from various documents and create comprehensive tax returns.| [**Tax automation quickstart**](quickstart/use-ai-foundry.md?tabs=document#analyzer-templates) | 
+|Chart understanding| Businesses can enhance chart understanding by automating the analysis and interpretation of various types of charts and diagrams using Content Understanding.| [**Chart understanding quickstart**](quickstart/use-ai-foundry.md?tabs=image#analyzer-templates) |
 
 See [Quickstart](quickstart/use-ai-foundry.md) for more examples.
 

articles/ai-services/content-understanding/quickstart/use-ai-foundry.md

@@ -71,9 +71,7 @@ Content Understanding analyzer templates give you a head start by allowing you t
 
 The following analyzer templates are available for use in the [Azure AI Foundry Content Understanding experience](https://ai.azure.com/).
 
-### Document analyzer templates
-
-To follow are several of our document analyzer templates.
+# [Document](#tab/document)
 
 |Template| Description|
 | ----|----|----|
@@ -82,9 +80,7 @@ To follow are several of our document analyzer templates.
 
    :::image type="content" source="../media/analyzer-template/image-templates.png" alt-text="Screenshot of document analyzer template.":::
 
-### Image analyzer templates
-
-To follow are several of our image analyzer templates.
+# [Image](#tab/image)
 
 |Template| Description|
 | ----|----|----|
@@ -94,9 +90,7 @@ To follow are several of our image analyzer templates.
 
    :::image type="content" source="../media/analyzer-template/image-templates.png" alt-text="Screenshot of image analyzer template.":::
 
-### Audio analyzer templates
-
-To follow are several of our audio analyzer templates.
+# [Audio](#tab/audio)
 
 |Template| Description|
 | ----|----|----|
@@ -107,9 +101,7 @@ To follow are several of our audio analyzer templates.
 
    :::image type="content" source="../media/analyzer-template/audio-templates.png" alt-text="Screenshot of audio analyzer template.":::
 
-### Video analyzer templates
-
-To follow are several of our video analyzer templates.
+# [Video](#tab/video)
 
 |Template| Description|
 | ----|----|----|
@@ -120,6 +112,8 @@ To follow are several of our video analyzer templates.
 
    :::image type="content" source="../media/analyzer-template/video-templates.png" alt-text="Screenshot of video analyzer template.":::
 
+---
+
 ## Next steps
 
 * In this quickstart, you learned how to create an analyzer in Azure AI Foundry. To use [REST API](/rest/api/contentunderstanding/operation-groups?view=rest-contentunderstanding-2024-12-01-preview&preserve-view=true), *see* the [REST API quickstart](use-rest-api.md).

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

@@ -239,13 +239,13 @@ Before running the cURL command, make the following changes to the HTTP request:
 
 ### POST request
 ```bash
-curl -i -X POST "{endpoint}/contentunderstanding/analyzers/{analyzerId}:analyze?stringEncoding=codePoint&api-version=2024-12-01-preview" \
+curl -i -X POST "{endpoint}/contentunderstanding/analyzers/{analyzerId}:analyze?api-version=2024-12-01-preview" \
   -H "Ocp-Apim-Subscription-Key: {key}" \
   -H "Content-Type: application/json" \
   -d "{\"url\":\"{fileUrl}\"}"
 ```
 
-### POST responseH
+### POST response
 
 The 202 (`Accepted`) response includes an `Operation-Location` header containing a URL that you can use to track the status of this asynchronous analyze operation.
 

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

@@ -48,7 +48,7 @@ Content extraction for video includes transcription, shot detection, key frame e
 * **Shot detection**: Identifies segments of the video aligned with shot boundaries where possible, allowing for precise editing and repackaging of content with breaks exactly on shot boundaries.
 * **Key frame extraction**: Extracts key frames from videos to represent each shot completely, ensuring each shot has enough key frames to enable Field Extraction to work effectively.
 * **Face grouping**: Grouped faces appearing in a video to extract one representative face image for each person and provides segments where each one is present. The grouped face data is available as metadata and can be used to generate customized metadata fields.
-* This feature is limited access and involves face identification and grouping; customers need to register for access at [Face Recognition](https://aka.ms/facerecognition).
+  * This feature is limited access and involves face identification and grouping; customers need to register for access at [Face Recognition](https://aka.ms/facerecognition).
 
 ### Field extraction