CLOUDINARY ASSETS / METADATA & TAGGING

Metadata is the backbone of an effective DAM. Without it, or if it’s inconsistent, assets like images and videos become invisible and unmanageable. With it, they’re findable, easy to manage, and ready to use.

Scale asset operations with advanced AI and machine learning to automatically detect and tag visual elements in your images and videos.

This includes:

• Object detection.
• Facial recognition.
• Scene context.
• Color, mood, and aesthetic attributes.
• Video transcript detection for automated tagging.

Add contextual metadata fields specific to your business, products, or assets, like product SKU, collection season, usage rights, or campaign name. These structured fields improve governance, filtering, and reporting with built-in rules for mandatory fields, default values, and hierarchical relationships between fields.

A clear metadata taxonomy is key to making your DAM system future-ready. AI helps to automatically structure taxonomies that reflect your business logic, such as:

• Campaign hierarchy.
• Product categories and subcategories.
• Usage rights and expirations.
• Regions, languages, and channels.

Use changes to metadata to trigger workflow automation to better manage activities within the DAM and across third-party tools:

• Enable/disable or auto-archive expired content based on conditions.
• Automatically update asset overlays, text, or other visual elements.
• Route new uploads for moderation and approval based on usage tags.
• Push assets to channels based on language or regional tags.

Cloudinary’s integrations with third-party solutions like PIMs, CMSs, eCommerce platforms, and marketing tools sync and structure critical metadata across systems.