AI Suggested Tags streamline and improve the asset tagging process in Lytho DAM by suggesting relevant, context-aware tags. These suggestions align with your organization’s approved tag taxonomy, ensuring consistent metadata, reducing manual effort, and enhancing asset discoverability.

The features described in this article are currently in Early Access and may not be available to all customers.

TABLE OF CONTENTS

• Prerequisites
• How It Works
• Using AI-Suggested Tags
• File Types Supported

Prerequisites

• AI Search must be enabled for your Lytho DAM account. 
• Tags must already exist in your account taxonomy. AI will only suggest from your existing list; it does not generate or add new tags.
• Only Roles with the DAM > Add assets rule can confirm suggested tags.

How It Works

AI Suggested Tags appear during the asset upload or edit process:

• When an asset is uploaded, the AI model identifies key features like objects, people, colors, or places. It uses its training data (millions of images it’s learned from) to recognize these elements. 
• Based on this analysis, Lytho recommends tags that are a contextual match.
• Users can choose to accept or ignore each tag before saving.

Lytho's AI model is pre-trained. We will not use customer data to further train the model. 

Using AI-Suggested Tags

Select an asset, from the Asset Manager or Waiting Room, and navigate to the TAGS tab. 

Select AI SUGGESTED to see suggested tags. Each AI Suggested Tag will be outlined in a blue and purple gradient.

Review each suggestion: Click to accept or leave unselected to ignore.

Pair AI Suggested Tags with requirements in Metadata Rules and all tags available from your taxonomy. 

Save your asset once all desired fields are applied.

File Types Supported

JPG and PNG files are supported. Other file types are not supported at this time.