Azure Computer Vision - OpenText Content Storage Service Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Content Storage Service

1. Automated image and document ingestion into enterprise content storage

Data flow: Azure Computer Vision ? OpenText Content Storage Service

When images, scanned documents, or customer-submitted files are uploaded, Azure Computer Vision can extract text, detect objects, and generate metadata before the content is stored in OpenText Content Storage Service. This enables automated classification and indexing at the point of ingestion.

• Reduces manual tagging and filing effort for content operations teams
• Improves searchability of stored assets through enriched metadata
• Supports faster retrieval for legal, HR, claims, and records teams

2. OCR-driven capture of paper records and forms

Data flow: Azure Computer Vision ? OpenText Content Storage Service

Organizations can scan invoices, contracts, onboarding forms, shipping labels, or compliance documents, use Azure Computer Vision OCR to extract text, and store both the original file and extracted content in OpenText Content Storage Service. The result is a searchable digital archive with structured metadata.

• Speeds up document digitization and reduces manual data entry
• Improves compliance by preserving original records with indexed text
• Enables downstream workflows such as approvals, audits, and case management

3. Intelligent digital asset management for marketing and communications

Data flow: OpenText Content Storage Service ? Azure Computer Vision ? OpenText Content Storage Service

Marketing teams can store campaign images, product photos, and brand assets in OpenText Content Storage Service, then use Azure Computer Vision to identify objects, scenes, logos, and text. The enriched metadata is written back to storage for better asset discovery and reuse.

• Helps creative teams locate approved assets faster
• Supports brand governance by identifying logo usage and content themes
• Reduces duplicate asset creation across regions and business units

4. Customer-submitted image review for quality and claims processing

Data flow: Azure Computer Vision ? OpenText Content Storage Service

In insurance, manufacturing, or field service scenarios, customer-submitted photos can be analyzed by Azure Computer Vision to identify objects, detect text, and assess image content before being stored in OpenText Content Storage Service. Metadata can be used to route cases to the right team or queue.

• Accelerates claims intake and quality review workflows
• Improves consistency in triage and case assignment
• Creates a durable evidence repository for audits and dispute resolution

5. Compliance archiving with searchable visual evidence

Data flow: Azure Computer Vision ? OpenText Content Storage Service

For regulated industries, visual evidence such as site photos, inspection images, safety documentation, and incident records can be analyzed for text and context, then stored in OpenText Content Storage Service with retention and lifecycle controls. This creates a compliant archive that is also searchable.

• Supports retention and legal hold requirements
• Makes inspection and incident records easier to locate during audits
• Improves traceability across operations, risk, and compliance teams

6. Accessibility enhancement for stored content

Data flow: OpenText Content Storage Service ? Azure Computer Vision ? OpenText Content Storage Service

Images and scanned documents stored in OpenText Content Storage Service can be processed by Azure Computer Vision to generate alt text and descriptive metadata. The enriched content can then be stored back to improve accessibility for internal users and external portals.

• Supports accessibility compliance initiatives
• Improves usability for employees and customers using screen readers
• Reduces manual effort to create image descriptions at scale

7. Product and packaging recognition for catalog and supply chain operations

Data flow: Azure Computer Vision ? OpenText Content Storage Service

Retail and manufacturing organizations can analyze product images, packaging photos, and shelf images with Azure Computer Vision, then store the recognized attributes and source files in OpenText Content Storage Service. This helps maintain a governed repository of product-related visual content.

• Improves catalog accuracy and product content management
• Supports packaging compliance and visual verification workflows
• Enables faster collaboration between merchandising, operations, and quality teams

8. Centralized storage for AI-enriched content across business units

Data flow: Bi-directional

OpenText Content Storage Service can serve as the enterprise repository for visual content, while Azure Computer Vision enriches that content with tags, OCR results, and descriptive metadata. Business units can then consume the enriched assets from OpenText for search, governance, and lifecycle management.

• Creates a single governed storage layer for visual and document assets
• Standardizes metadata across departments and geographies
• Improves collaboration between content owners, records management, and analytics teams