Skip to content

Commit 5465528

Browse files
committed
add document updates
1 parent 121d114 commit 5465528

File tree

1 file changed

+17
-12
lines changed

1 file changed

+17
-12
lines changed

articles/ai-services/content-understanding/concepts/compare-pro-standard-modes.md renamed to articles/ai-services/content-understanding/concepts/standard-pro-modes.md

Lines changed: 17 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,7 @@
11
---
2-
title: Azure AI Content Understanding analyzer templates
2+
title: Azure AI Content Understanding standard and pro modes
33
titleSuffix: Azure AI services
4-
description: Learn about Azure AI Content Understanding analyzer templates.
4+
description: Learn about Azure AI Content Understanding standard and pro modes.
55
author: laujan
66
ms.author: kabrow
77
manager: nitinme
@@ -10,7 +10,7 @@ ms.topic: overview
1010
ms.date: 05/19/2025
1111
---
1212

13-
# Compare Azure AI Content Understanding pro and standard modes
13+
# Azure AI Content Understanding pro and standard modes
1414

1515
Azure AI Content Understanding is an advanced generative AI service designed to derive structured insights from multi-modal content such as documents, images, videos, and audio. With the introduction of the `2025-05-01-preview` version, the service now offers two distinct modes: `standard` and `pro`.
1616

@@ -26,11 +26,11 @@ The Content Understanding standard mode delivers structured insights across vari
2626

2727
Standard is the ideal service for extracting the exact insights you need on any type of data. If you're just looking to unlock the content of your data, your scenario may not require complex reasoning or decision making. Scenarios that standard mode works great for include:
2828

29-
* Structuring data to power your RAG search workflows and integrating with AI Search
30-
* Extracting data to integrate with Microsoft Fabric [link to Fabric blog?]
31-
* Analyzing advertising videos to screen for content guidelines
32-
* Segmenting video footage to create chapters and identify ideal advertising breaks
33-
* Extracting critical data points from sports games and providing post-game recaps
29+
* Structuring data to power your RAG search workflows and integrating with [AI Search](../../../search/search-what-is-azure-search.md).
30+
* Extracting data to integrate with [Microsoft Fabric](https://blog.fabric.microsoft.com/en-US/blog/).
31+
* Analyzing advertising videos to screen for content guidelines.
32+
* Segmenting video footage to create chapters and identify ideal advertising breaks.
33+
* Extracting critical data points from sports games and providing post-game recaps.
3434

3535
## Pro mode overview
3636

@@ -39,15 +39,15 @@ Content Understanding pro mode is tailored for customers with highly complex us
3939

4040
### Pro mode reference data
4141

42-
When your goal is to extract specific data points from your documents, reference data defines these data points and provides the service context it needs to validate whether the data passes the required criteria. For example, if you're looking to analyze invoices to ensure they're consistent with a contractual agreement, the signed contract serves as the reference data, allowing the service to compare the data in the contract to the individual invoices. In doing this comparison, the service applies reasoning to validate that either the invoices are in accordance with the contract or identify discrepancies and flag for further review.
42+
When your goal is to extract specific data points from your documents, reference data defines these data points and provides the service context it needs to validate whether the data passes the required criteria. For example, if you're looking to analyze invoices to ensure they're consistent with a contractual agreement, the signed contract serves as the reference data, allowing the service to compare the data in the contract to the individual invoices. In doing this comparison, the service applies reasoning to validate that either the invoices are in accordance with the contract or identify discrepancies and flag for further review.
4343

4444
### Multi-step reasoning
4545

4646
Multi-step reasoning offers the ability to decompose complex problems into a simples tasks. Multi-step reasoning takes data analysis a step further than extracting and aggregating structured data and allows you to draw conclusions on that data, minimizing the need for human review. Examples of the types of questions pro mode can answer with multi-step reasoning include:
4747

4848
* Does x match y?
4949
* Does x pass the outlined criteria?
50-
* Does x scenario follow the required guidelines?
50+
* Does x scenario follow the required guidelines?
5151
* Does the total equal the sum of the items?
5252
* Find all inconsistencies between the invoice and the contract.
5353

@@ -79,12 +79,17 @@ Not sure which mode is right for your scenario? The following charts compare sta
7979
| **Mortgage application processing** | Extract the key values from mortgage application data and make it searchable and more easily accessible. Answer questions like: <br> &bullet; What year was the mortgage application submitted? <br> &bullet; What are the names on the application? | Analyze supplementary supporting documentation and mortgage applications to determine whether a prospective home buyer provides all the necessary documentation to secure a mortgage. Answer questions like: <br> &bullet; Do the names and social security numbers on the mortgage application match the supporting documentation? |
8080

8181
## Try pro mode
82-
You can try out the features of both Content Understanding standard and pro modes using the Azure AI Foundry [link]. The service enables you to bring your own data and experiment with all the functionalities of both modes in a lightweight, no-code approach to help you find the best fit for your unique scenario.
82+
83+
You can try out the features of both Content Understanding standard and pro modes using the [Azure AI Foundry](https://ai.azure.com/explore/aiservices/vision/contentunderstanding). The service enables you to bring your own data and experiment with all the functionalities of both modes in a lightweight, no-code approach to help you find the best fit for your unique scenario.
8384

8485
### Pro mode known limitations
8586

86-
There are a few limitations to note in the current preview version of Content Understanding pro mode. However, we're actively in development to continually improve the product. Content Understanding pro mode currently doesn't offer confidence scores or grounding. It currently supports generative and classification of your fields but doesn't support extraction only. It's also currently available for documents.
87+
* Content Understanding pro mode currently doesn't offer confidence scores or grounding. It currently supports generative and classification of your fields but doesn't support extraction only.
88+
* Content Understanding pro mode is currently only available for documents.
89+
8790
## Next steps
8891

92+
For more information on document processing, *see* [Document processing overview](../document/overview.md)
93+
8994

9095

0 commit comments

Comments
 (0)