Google Vision AI - Kentico Integration and Automation

Common Integration Use Cases Between Google Vision AI and Kentico

1. Automated image tagging for Kentico media libraries

Data flow: Google Vision AI ? Kentico

When marketing teams upload images into Kentico, Google Vision AI can automatically detect objects, scenes, activities, and text, then write those attributes back into Kentico as metadata. This makes assets easier to search, filter, and reuse across websites and campaigns.

Business value: Reduces manual tagging effort, improves asset discoverability, and speeds up content publishing for web and campaign teams.

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

Data flow: Google Vision AI ? Kentico

Google Vision AI can extract text from scanned brochures, forms, posters, and screenshots uploaded into Kentico. The extracted text can be stored as searchable content, used in page snippets, or attached to the asset record for compliance and editorial review.

Business value: Improves accessibility, enables full-text search across image-based content, and reduces the need for manual transcription.

3. Brand logo detection for campaign and partner content governance

Data flow: Google Vision AI ? Kentico

For organizations managing partner-submitted or user-generated visuals in Kentico, Google Vision AI can detect logos and identify whether approved or restricted brands appear in an image. Kentico can then route the asset for review, reject it, or flag it for legal and brand teams.

Business value: Strengthens brand compliance, reduces legal risk, and supports faster moderation of externally sourced content.

4. Smart content personalization using image metadata

Data flow: Google Vision AI ? Kentico

Detected image attributes such as product type, scene, or people presence can be stored in Kentico and used to drive content rules and personalization. For example, Kentico can display different banners or product recommendations based on the visual category of assets associated with a campaign.

Business value: Improves relevance of web experiences, supports more targeted campaigns, and helps marketing teams reuse assets more effectively.

5. Accessibility enrichment for web content

Data flow: Google Vision AI ? Kentico

Google Vision AI can generate descriptive labels from images and detect embedded text, which Kentico can use to populate alt text, captions, and accessibility metadata. This is especially useful for large content libraries where manual accessibility tagging is difficult to maintain.

Business value: Supports accessibility compliance, improves user experience for visually impaired visitors, and reduces editorial workload.

6. Automated product image enrichment for eCommerce pages

Data flow: Google Vision AI ? Kentico

For product images managed in Kentico, Google Vision AI can identify attributes such as color, shape, packaging type, or visible product features. Kentico can then use this metadata to enrich product detail pages, improve faceted navigation, and support better search results.

Business value: Enhances product discoverability, improves catalog quality, and reduces dependence on manual merchandising input.

7. Content moderation workflow for user-generated images

Data flow: Kentico ? Google Vision AI ? Kentico

When users submit images through Kentico forms, campaigns, or community features, Kentico can send the images to Google Vision AI for moderation checks. The results can be returned to Kentico to approve, reject, or queue the submission for human review based on detected inappropriate content.

Business value: Lowers moderation effort, improves response times, and helps maintain safe and compliant digital experiences.

8. Image-based campaign analytics and content optimization

Data flow: Bi-directional

Kentico can track which image assets are used in pages, landing pages, and campaigns, while Google Vision AI provides structured metadata about those assets. Together, this enables teams to analyze which visual themes, product types, or scene categories are associated with stronger engagement and conversion.

Business value: Helps marketing and content teams make data-driven creative decisions, improve campaign performance, and optimize asset selection over time.