PhotoShelter Introduces AI Assistant

What is PhotoShelter’s AI Assistant?

PhotoShelter’s AI Assistant lets you manage a growing content library by telling it what you need in plain language. 

Built directly into PhotoShelter for Brands, the conversational assistant helps teams complete everyday tasks across photos and videos.

What can PhotoShelter’s AI Assistant do?

The AI Assistant helps your team:

• Rename files in batches using your naming conventions
• Create galleries or folder structures from a calendar, spreadsheet, or list
• Clean up and standardize metadata across many assets
• Remove outdated or gendered language from metadata
• Sort assets using existing metadata
• Find and suggest assets based on specific criteria
• Answer questions about the library or gallery you are viewing

How does the AI Assistant work?

Type what you want to accomplish. The AI Assistant reads the context of the gallery or folder you are viewing and shows you its proposed changes.

Nothing changes until you review and approve the plan.

What can I ask the AI Assistant?

Write your request the same way you would explain the task to a coworker.

For example:

• Rename every file in this gallery using the date, event name, and a unique number
• Create a gallery for every event on this season’s calendar
• Remove gendered language from the metadata in this gallery
• Add each person’s name from the keywords to the Person Shown field
• Find duplicate galleries so we can keep one source of truth

Why use AI for library management?

Small organizational tasks become major backlogs when teams have to update assets one at a time. The problem gets harder as new photos and videos continue to enter the library.

After you approve its plan, the AI Assistant carries out the same instructions across hundreds or thousands of assets. Teams can address years of inconsistent organization while setting clearer standards for new content.

How does the AI Assistant protect my library?

The AI Assistant was built with guardrails that keep people in control.

It cannot delete files. Your assets stay safe while the assistant renames, organizes, or updates them.

It also follows each user’s permissions. The assistant cannot access or change anything that the logged-in user cannot.

It knows its limits. If a request falls outside its capabilities, it tells you instead of attempting the task.

This approach reflects PhotoShelter’s established principles for building AI: permission-first, transparent, and human-in-the-loop. PhotoShelter’s AI features already process more than 50 million images each year, and the AI Assistant brings that experience to active library management.

Who can use PhotoShelter’s AI Assistant?

The AI Assistant is built for the people responsible for keeping content organized and accessible.

Common users include:

• University photographers managing content from major campus events
• Creative operations managers maintaining large libraries
• Library managers preparing for a full season or editorial calendar
• Marketing teams gathering approved content for campaigns
• Administrators preparing headshots for indexing with PeopleID

What makes PhotoShelter’s AI Assistant different?

Many AI tools require administrators to configure agents, define complex rules, or understand different AI models before anyone can use them.

PhotoShelter’s AI Assistant works inside the content library your team already knows. It requires no prompt engineering, technical configuration, prior AI experience, or help from IT to get started.

It’s AI built for creative humans.

What are customers saying?

PhotoShelter publicly demonstrated the AI Assistant at the UPAA Conference in June 2026, giving university photographers an early look at how it supports library management.

“I’ve been impressed by how little I have to write to get things done. The agent understands the context of what I’m working on, even when my follow-up prompts are short, casual, or a little sloppy. That makes complex tasks like renaming assets, replacing keywords, and finding duplicate galleries much faster. Finding those duplicates helps us reduce wasted server space and maintain a single source of truth for our users.”

Chris Rakoczy, Staff Photographer, Hartford HealthCare