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Merge pull request #4473 from laujan/aditi-april-updates
Aditi april updates
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articles/ai-services/content-understanding/concepts/analyzer-templates.md

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manager: nitinme
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ms.service: azure-ai-content-understanding
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ms.topic: overview
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ms.date: 02/19/2025
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ms.date: 05/01/2025
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ms.custom: ignite-2024-understanding-release
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---
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|Template| Description|
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| ----|----|----|
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|Document analysis |Analyze documents to extract text, layout, structured fields, and more.|
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|Text analysis |Analyze texts and extract structured fields.|
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|Invoice analysis |Analyze invoice as prebuilt template and extract structured fields and tables.|
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:::image type="content" source="../media/analyzer-template/scenario-template-document.png" alt-text="Screenshot of document analyzer template.":::
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articles/ai-services/content-understanding/document/overview.md

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manager: nitinme
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ms.service: azure-ai-content-understanding
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ms.topic: overview
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ms.date: 02/19/2025
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ms.date: 05/01/2025
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ms.custom: ignite-2024-understanding-release
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---
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Content Understanding enables organization to streamline data collection and processing, enhance operational efficiency, optimize data-driven decision making, and empower innovation. With customizable analyzers, Content Understanding allows for easy extraction of content or fields from documents and forms, tailored to specific business needs.
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## April updates
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* **Invoice prebuilt template**: Extract predefined schemas from various invoice formats. The out-of-the-box schema can be customized by adding or removing fields to suit your specific needs.
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* **Generative and classify methods**: Added support for both generative and classification-based methods, enabling you to create generative fields such as summaries or categorize document details into multiple classes using the classify method.
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## Business use cases
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Document analyzers can process complex documents in various formats and templates:

articles/ai-services/content-understanding/service-limits.md

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| Property | Document | Image | Text | Audio | Video |
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| --- | --- | --- | --- | --- | --- |
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| Max fields | 50 | 10 | 10 | 10 | 10 |
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| Max fields | 50 | 50 | 50 | 50 | 50 |
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| Max classify field categories | 300 | 300 | 300 | 300 | 300 |
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| Supported generation methods | extract | generate<br>classify | generate<br>classify | generate<br>classify | generate<br>classify |
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* The *Max fields* limit includes all named fields. For example, a list of strings counts as one field, while a group with string and number subfields counts as three fields. To extract beyond default limits, contact us at [email protected].
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* The *Max fields* limit includes all named fields. For example, a list of strings counts as one field, while a group with string and number subfields counts as three fields. To extend the limit for documents fields up to 100, contact us at `[email protected]`.
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* The *Max classify field categories* limit is the total number of categories across all fields using the `classify` generation method.
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* The generation method currently applies only to basic fields.
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| --- | --- | --- | --- | --- | --- |
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| Basic | No *boolean* | No *date*, *time* | *string* | *string* | No *date*, *time* |
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| List | N/A | No *date*, *time* | *string* | *string* | No *date*, *time* |
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| Group | N/A | No *date*, *time* | N/A | N/A | No *date*, *time* |
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| Group | N/A | No *date*, *time* |*string* | *string* | No *date*, *time* |
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| Table | No *boolean* | No *date*, *time* | *string* | *string* | No *date*, *time* |
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| Fixed table | No *boolean* | N/A | N/A | N/A | N/A |
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articles/ai-services/content-understanding/whats-new.md

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* Add download code samples for quick setup added.
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## November 2024
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Welcome! The Azure AI Content Understanding API version `2024-12-01-preview` is now in public preview. This version allows you to generate a structured representation of content tailored to specific tasks from various modalities or formats. Content Understanding uses a defined schema to extract content suitable for processing by large language models and subsequent applications.
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Welcome! The Azure AI Content Understanding API version `2024-12-01-preview` is now in public preview. This version allows you to generate a structured representation of content tailored to specific tasks from various modalities or formats. Content Understanding uses a defined schema to extract content suitable for processing by large language models and subsequent applications.

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