Azure Computer Vision - Adobe Experience Manager Sites Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and Adobe Experience Manager Sites

1. Automated image tagging for faster content publishing

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

When marketing teams upload new images into AEM Sites or its connected DAM, Azure Computer Vision can automatically detect objects, scenes, and visual attributes and return structured tags. AEM can then store these tags as metadata for search, filtering, and content reuse.

• Reduces manual tagging effort for content teams
• Improves asset discoverability across web and mobile experiences
• Supports faster campaign launch cycles with better governance

2. OCR extraction for document and image-based content reuse

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

Azure Computer Vision can extract text from scanned documents, screenshots, infographics, and image-based PDFs uploaded to AEM. The extracted text can be used to populate page content, captions, summaries, or searchable metadata in AEM Sites.

• Speeds up conversion of legacy or scanned content into digital experiences
• Improves search indexing for image-heavy content
• Reduces duplicate manual transcription work for content operations teams

3. Accessibility enrichment with automated alt text generation

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

For images added to AEM Sites, Azure Computer Vision can generate descriptive text that AEM authors can review and publish as alt text. This supports accessibility compliance and improves the experience for screen reader users.

• Helps teams meet accessibility standards more consistently
• Reduces the burden on authors to manually write alt text for every asset
• Improves SEO and content quality for image-based pages

4. Brand safety and content moderation before publishing

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

Before assets are approved for use in AEM Sites, Azure Computer Vision can analyze images for inappropriate content, sensitive visuals, or unwanted objects. Assets flagged by the service can be routed to reviewers before they are published.

• Supports brand governance and compliance workflows
• Reduces the risk of publishing unsuitable or off-brand imagery
• Creates a more efficient review process for marketing and legal teams

5. Product image enrichment for commerce-driven content pages

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

For retail and manufacturing organizations, Azure Computer Vision can identify products, packaging, and visual attributes in catalog images. AEM Sites can use the returned metadata to help authors assemble product landing pages, campaign pages, and category experiences more quickly.

• Improves consistency between product imagery and page content
• Accelerates creation of seasonal and promotional pages
• Supports richer merchandising with less manual catalog work

6. Smart asset categorization for enterprise search and reuse

Data flow: Azure Computer Vision ? Adobe Experience Manager Sites

Azure Computer Vision can classify images into business-relevant categories such as people, office environments, events, products, or outdoor scenes. AEM Sites can use these classifications to organize assets, power search facets, and recommend reusable content to authors.

• Makes large DAM libraries easier to navigate
• Improves content reuse across regions, brands, and channels
• Helps distributed teams find approved assets faster

7. Visual content personalization support

Data flow: Bi-directional, with Azure Computer Vision enriching assets and AEM Sites using the metadata for delivery decisions

Azure Computer Vision can enrich image assets with tags such as scene type, object type, or presence of people. AEM Sites can then use that metadata to help select the most relevant visuals for different audience segments, page templates, or device formats.

• Improves relevance of content presentation across channels
• Supports more efficient personalization workflows for marketing teams
• Enables better asset selection for responsive and contextual experiences

8. Content operations workflow for high-volume image intake

Data flow: Adobe Experience Manager Sites ? Azure Computer Vision ? Adobe Experience Manager Sites

When large volumes of user-generated or campaign imagery are ingested into AEM, the assets can be sent to Azure Computer Vision for analysis and then returned to AEM with metadata, OCR text, moderation results, and accessibility descriptions. This creates a closed-loop workflow for content operations.

• Automates intake, enrichment, review, and publication steps
• Improves turnaround time for content-heavy campaigns
• Reduces operational bottlenecks between marketing, compliance, and web teams