Azure Computer Vision - OpenText Directory Services Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Directory Services

1. Automated image and document processing with user-based access control

Data flow: OpenText Directory Services ? Azure Computer Vision ? OpenText Directory Services

Use OpenText Directory Services to identify the requesting user, their department, and access permissions before sending images or scanned documents to Azure Computer Vision for OCR, tagging, or classification. The extracted metadata and text are then written back to OpenText-managed records and made available only to authorized groups.

• Reduces manual indexing of scanned contracts, invoices, and forms
• Ensures sensitive content is processed and stored according to role-based access rules
• Improves searchability across enterprise content repositories

2. Role-based digital asset tagging for marketing and communications teams

Data flow: OpenText Directory Services ? Azure Computer Vision

Marketing, creative, and communications users can be assigned directory-based roles that determine which image libraries they can submit for automated analysis. Azure Computer Vision can then generate tags, detect logos, identify objects, and create alt text for approved assets, while OpenText Directory Services controls who can access or publish the results.

• Speeds up asset preparation for campaigns and web publishing
• Supports consistent metadata standards across distributed teams
• Prevents unauthorized users from accessing restricted brand assets

3. Secure OCR workflow for records management and compliance

Data flow: OpenText Directory Services ? Azure Computer Vision ? OpenText Directory Services

When users upload scanned records, OpenText Directory Services validates identity and assigns the correct retention or compliance group. Azure Computer Vision extracts text from the documents, and the output is routed back into OpenText-managed repositories with permissions and retention labels aligned to the user?s directory profile.

• Accelerates digitization of paper archives
• Improves compliance handling for regulated documents
• Reduces manual data entry and indexing errors

4. Controlled processing of customer-submitted images for quality review

Data flow: OpenText Directory Services ? Azure Computer Vision

Customer service, claims, or quality assurance teams can use directory-managed access to submit customer photos for automated analysis. Azure Computer Vision can detect objects, text, or image quality indicators, while OpenText Directory Services ensures only authorized reviewers can access the submissions and associated findings.

• Supports faster triage of warranty claims, insurance photos, or product defects
• Creates a clear audit trail of who accessed and reviewed submissions
• Improves operational consistency across service teams

5. Metadata enrichment for enterprise content repositories

Data flow: Azure Computer Vision ? OpenText Directory Services

Azure Computer Vision can analyze uploaded images and scanned files to generate tags, OCR text, and descriptive metadata. That metadata can then be associated with users, teams, or business units maintained in OpenText Directory Services, enabling content owners and approvers to be identified automatically.

• Improves content governance and ownership assignment
• Helps teams locate assets by business function or responsible group
• Reduces dependency on manual metadata creation

6. Access-aware image moderation for internal publishing workflows

Data flow: OpenText Directory Services ? Azure Computer Vision ? OpenText Directory Services

Before images are approved for internal portals, intranets, or external publishing, OpenText Directory Services can determine which reviewers are allowed to see and approve content. Azure Computer Vision can flag inappropriate content, detect logos, or identify text in images, and the review outcome is stored back in the directory-linked workflow.

• Improves brand safety and publishing governance
• Supports distributed approval processes across departments
• Reduces manual review effort for large image volumes

7. Personalized accessibility and content delivery based on directory identity

Data flow: OpenText Directory Services ? Azure Computer Vision

OpenText Directory Services can provide user identity, language group, or business unit information to determine which accessibility enhancements are needed. Azure Computer Vision can generate alt text or extract readable text from images, and the enriched content can be delivered to users based on their directory profile and access rights.

• Improves accessibility for employees and customers using content portals
• Supports localized or role-specific content experiences
• Enhances compliance with accessibility standards

8. Automated assignment of review and approval tasks for visual content

Data flow: Azure Computer Vision ? OpenText Directory Services

After Azure Computer Vision classifies an image or extracts text, the result can be used to route the content to the correct reviewer group maintained in OpenText Directory Services. For example, product images can go to merchandising, legal-sensitive content to compliance, and customer-submitted photos to support teams.

• Shortens approval cycles by routing work to the right team automatically
• Reduces misrouted tasks and manual coordination
• Improves accountability through directory-based assignment