Azure Computer Vision - Kentico Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and Kentico

1. Automatic image tagging for Kentico media libraries

Data flow: Azure Computer Vision ? Kentico

When marketing teams upload images to Kentico, Azure Computer Vision can analyze each asset and return tags such as product type, scene, color, object, and setting. Kentico can then store these tags as metadata in the media library, making assets easier to search, filter, and reuse across campaigns and websites.

Business value: Reduces manual metadata entry, improves asset discoverability, and speeds up content production for web and campaign teams.

2. OCR extraction from scanned documents and image-based content

Data flow: Azure Computer Vision ? Kentico

Organizations often receive brochures, forms, certificates, or event flyers as images or scanned PDFs. Azure Computer Vision can extract text from these files and pass it into Kentico for indexing, content reuse, or publishing as accessible HTML content. This is especially useful for teams managing large volumes of legacy or partner-provided materials.

Business value: Improves content accessibility, reduces rekeying effort, and enables faster repurposing of image-based content into web pages and landing pages.

3. Automated alt text generation for accessibility compliance

Data flow: Azure Computer Vision ? Kentico

Azure Computer Vision can generate descriptive text for images uploaded into Kentico, which can be stored as alt text or image captions. Content editors can review and approve the suggested text before publishing. This supports accessibility standards and reduces the burden on editorial teams.

Business value: Helps meet accessibility requirements, improves SEO, and lowers the time required to prepare content for publication.

4. Content moderation for user-generated images on Kentico sites

Data flow: Kentico ? Azure Computer Vision ? Kentico

For websites or campaign microsites that accept customer-submitted images, Kentico can send uploads to Azure Computer Vision for moderation checks. The service can flag inappropriate, unsafe, or off-brand content before it is published. Kentico can then route flagged assets to a review queue for marketing or compliance teams.

Business value: Reduces brand risk, supports governance, and creates a controlled approval workflow for user-generated content.

5. Product image enrichment for eCommerce catalog pages

Data flow: Azure Computer Vision ? Kentico

For Kentico eCommerce implementations, Azure Computer Vision can analyze product images and identify attributes such as category, color, packaging type, or visible objects. Kentico can use this metadata to enrich product listings, improve faceted search, and support better product recommendations or merchandising rules.

Business value: Improves catalog consistency, enhances product search and navigation, and reduces manual effort for merchandising teams.

6. Smart content personalization based on image and asset metadata

Data flow: Azure Computer Vision ? Kentico

Azure Computer Vision can classify images used in Kentico campaigns and pages, allowing Kentico to segment content by visual theme, product line, or audience relevance. Marketing teams can then use this metadata to personalize page modules, banners, or campaign assets for different visitor segments.

Business value: Supports more relevant customer experiences, improves campaign targeting, and helps teams manage large content libraries more effectively.

7. Centralized digital asset governance across marketing and content teams

Data flow: Bi-directional

Kentico can act as the content management layer while Azure Computer Vision enriches assets with machine-generated metadata. Editors can review, correct, and approve metadata in Kentico, and those updates can be sent back to improve asset quality and consistency across the organization. This creates a governed workflow for asset lifecycle management.

Business value: Strengthens content governance, improves metadata quality over time, and aligns marketing, compliance, and web teams around a single asset process.

8. Faster campaign production using automated image classification for landing pages

Data flow: Azure Computer Vision ? Kentico

When campaign teams prepare landing pages in Kentico, Azure Computer Vision can classify uploaded visuals and suggest how they should be used, such as hero image, product detail image, or promotional banner. This helps editors quickly select the right assets and maintain consistency across campaign pages.

Business value: Shortens campaign launch cycles, reduces content review effort, and improves consistency across digital channels.