Google Vision AI - OpenText Core Digital Asset Management Integration and Automation

Common Integration Use Cases Between Google Vision AI and OpenText Core Digital Asset Management

Google Vision AI and OpenText Core Digital Asset Management complement each other well in enterprise content operations. Google Vision AI provides automated image understanding, while OpenText Core Digital Asset Management serves as the governed repository for storing, organizing, approving, and distributing digital assets. Together, they reduce manual tagging effort, improve searchability, and support faster, more consistent asset workflows.

1. Automated image tagging and metadata enrichment

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

When new images are uploaded into OpenText Core Digital Asset Management, they can be sent to Google Vision AI for object detection, scene recognition, and text extraction. The returned metadata is written back into the asset record as searchable tags, captions, and custom fields.

• Reduces manual cataloging work for marketing, creative, and content operations teams
• Improves search accuracy across large image libraries
• Supports faster reuse of approved assets across campaigns and channels

2. OCR-based document and image indexing

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

Scanned documents, event photos, packaging images, and screenshots stored in OpenText Core Digital Asset Management can be processed by Google Vision AI OCR to extract embedded text. That text can then be indexed in the DAM for full-text search and compliance review.

• Makes text inside images searchable without manual transcription
• Helps legal, compliance, and records teams locate specific terms in visual assets
• Improves retrieval of invoices, labels, signage, and presentation slides stored as images

3. Brand logo detection for rights and competitive monitoring

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

OpenText Core Digital Asset Management can route incoming brand, event, or user-generated images to Google Vision AI to detect logos and brand marks. The DAM can then classify assets by brand presence, flag competitor logos, or route assets for review when restricted marks are detected.

• Supports brand governance and usage policy enforcement
• Helps marketing teams identify co-branded or competitor-heavy content quickly
• Improves monitoring of event photography and social content for brand exposure

4. Content moderation and policy-based review workflows

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

For user-generated content, campaign submissions, or externally sourced imagery, Google Vision AI can detect inappropriate or sensitive visual content before assets are published from OpenText Core Digital Asset Management. Assets that trigger policy rules can be automatically placed into a review queue.

• Reduces risk of publishing non-compliant or unsafe imagery
• Creates a consistent moderation process for legal, HR, and brand teams
• Speeds up approval cycles by automatically separating low-risk from high-risk assets

5. Smart asset categorization for product and commerce libraries

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

E-commerce teams can use Google Vision AI to identify product attributes such as color, packaging type, setting, and visible objects in product photography. OpenText Core Digital Asset Management can store these attributes as metadata to support product catalog organization and downstream syndication.

• Improves product image findability for merchandising and digital commerce teams
• Speeds up campaign asset selection by product type or visual attribute
• Supports more consistent catalog governance across regions and brands

6. Accessibility enrichment for image libraries

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

Google Vision AI can generate descriptive labels and extract text from images to help OpenText Core Digital Asset Management store accessibility-friendly metadata such as alt text, captions, and image summaries. This is especially useful for public websites, intranets, and customer-facing portals that publish DAM-managed assets.

• Improves accessibility compliance for digital content teams
• Reduces manual effort to create descriptive image text
• Supports faster publishing of accessible assets across channels

7. Automated thumbnail selection and focal-point cropping support

Data flow: Google Vision AI ? OpenText Core Digital Asset Management

Google Vision AI can identify the main subject or focal area in an image, allowing OpenText Core Digital Asset Management to generate better thumbnails, previews, and crop recommendations. This helps ensure that key subjects remain visible in different display formats.

• Improves visual consistency across web, mobile, and campaign channels
• Reduces manual editing by creative operations teams
• Enhances user experience in asset browsing and content previews

8. Bi-directional workflow for governed asset intake and enrichment

Data flow: OpenText Core Digital Asset Management ? Google Vision AI

OpenText Core Digital Asset Management can act as the system of record for asset intake, approval, and publishing, while Google Vision AI provides enrichment services during ingest or review. Approved assets remain governed in the DAM, and enriched metadata is returned to support search, routing, and downstream distribution.

• Combines enterprise governance with automated image intelligence
• Supports scalable workflows for marketing, compliance, and content operations
• Creates a repeatable process for ingest, enrichment, review, and publication

Overall, this integration helps enterprises turn visual content into structured, searchable, and policy-aware digital assets while reducing manual effort and improving cross-team collaboration.