Azure Computer Vision - OpenText Core Digital Asset Management Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Core Digital Asset Management

1. Automatic asset tagging and metadata enrichment

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

When new images or scanned documents are uploaded into OpenText Core Digital Asset Management, Azure Computer Vision can analyze the content and return tags, object labels, scene descriptions, and text extracted through OCR. OpenText then stores this metadata against the asset record.

Business value: Reduces manual cataloging effort, improves search accuracy, and speeds up asset publishing for marketing, communications, and product teams.

2. OCR for document and image-based content indexing

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

For brochures, event photos, scanned forms, packaging images, and screenshots, Azure Computer Vision can extract embedded text and pass it to OpenText Core Digital Asset Management for indexing. This makes text inside visual assets searchable alongside standard metadata.

Business value: Enables faster retrieval of assets by text content, supports compliance review, and improves reuse of scanned or image-based materials across departments.

3. Brand logo and object detection for campaign governance

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

Marketing teams can use Azure Computer Vision to detect logos, products, or other key visual elements in uploaded assets. OpenText Core Digital Asset Management can then route assets into approved brand collections, apply governance tags, or flag items for review when required brand elements are missing or incorrect.

Business value: Strengthens brand consistency, reduces manual review workload, and helps ensure only approved creative assets are distributed.

4. Automated moderation and policy screening for user-submitted content

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

Organizations that collect customer-submitted photos, event images, or partner content can use Azure Computer Vision to detect inappropriate, low-quality, or non-compliant imagery before assets are published in OpenText Core Digital Asset Management. Assets can be tagged for rejection, quarantine, or escalation to a content reviewer.

Business value: Improves content safety, reduces legal and reputational risk, and accelerates moderation workflows for large content volumes.

5. Accessibility support through alt-text generation

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

Azure Computer Vision can generate descriptive captions for images stored in OpenText Core Digital Asset Management. These descriptions can be used as draft alt-text for web, intranet, e-commerce, or campaign channels, with content teams reviewing and approving before publication.

Business value: Supports accessibility compliance, reduces manual writing effort, and helps teams publish inclusive content more quickly.

6. Product image classification for e-commerce and catalog operations

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

Retail and manufacturing organizations can use Azure Computer Vision to identify products, packaging variants, and visual attributes in images stored in OpenText Core Digital Asset Management. The resulting metadata can be used to organize catalog assets by product line, season, region, or campaign.

Business value: Improves product asset organization, accelerates catalog production, and helps merchandising teams locate the right visuals faster.

7. Smart asset routing and review workflows based on visual analysis

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

After Azure Computer Vision analyzes an uploaded asset, OpenText Core Digital Asset Management can trigger workflow rules based on the results. For example, images containing people can be routed to legal review, assets with text-heavy content can be sent to localization teams, and assets with detected logos can be assigned to brand managers.

Business value: Creates more efficient review paths, reduces bottlenecks, and ensures the right teams validate the right content.

8. Search enhancement using AI-generated visual metadata

Data flow: Azure Computer Vision ? OpenText Core Digital Asset Management

Azure Computer Vision can enrich assets with labels, descriptions, and OCR text that OpenText Core Digital Asset Management uses to improve search and filtering. Users can then find assets by visual characteristics such as ?conference room photo,? ?blue product packaging,? or ?image with pricing text.?

Business value: Increases asset discoverability, reduces duplicate content creation, and improves reuse across marketing, sales, and operations teams.