The Filter Creator — the professional toolkit behind modern AI photo activations

phantaisia
Mar 18
4 min read

Updated: 2 days ago

For years, brands, agencies, and photobooth operators have asked us the same question:

Can our team use the same tools your AI artists use to create AI filters for clients?

The answer is now yes.

The Eventstation Filter Creator gives your team direct access to the professional workflow behind our custom AI filter productions — the same workflow shaped through projects for world-renowned brands and large-scale business clients.

It was built from real client demand and from our day-to-day production experience creating AI-powered photo activations for the market.

Already today, the Filter Creator is used by teams from DNP Photo Imaging Europe — including Sharingbox — as well as Me Group and Photomaton.

And it is designed to support the entire project lifecycle:

Win client buy-in with visual concepts
Create filters in-house
Manage and update content without developer support
Measure performance with built-in statistics

This is not just a creation feature. It is your content management system for generative AI photo experiences.

Early access users already fulfilled up to 80% of client requests in-house using self-created filters.

Try the Filtercreator

Why We Built the Filter Creator

Until now, creating AI filters often meant relying on external support, developer resources, or our internal artist team for every change, update, and new campaign idea. That slowed down pitching, reduced flexibility during live projects, and made content iteration harder than it should be.

In short: the Filter Creator gives your team the ability to work more like an in-house AI content studio.

One Platform for the Full AI Filter Lifecycle — and Your Whole Team

The Filter Creator covers the full workflow of an AI-powered photo activation — from the first client pitch to post-launch optimization.

It combines four core components in one connected system:

Conceptualizer
Create Filter
Manage & Test
Statistics

Together, they allow your team to not only create AI filters, but to operate generative AI content professionally across the full campaign lifecycle — enabling multiple teams to work coherently on one platform.

Sales: Create visual drafts faster, pitch more convincingly, and respond to client requests with much more speed.

Creative teams: Produce filters without code, update content directly, and manage generative AI assets without relying on developers.

Operations: Deploy in a controlled way, test before launch, and maintain oversight across projects.

Management: Track usage, measure output quality, and scale AI content production with more transparency.

Conceptualizer

The Conceptualizer helps you turn ideas into convincing visual directions before production starts. Predefined modes support your team in creating any kind of scenery from scratch.

This is where client conversations become pitch-ready concepts. Instead of discussing an idea abstractly, you can show it. That means better alignment, faster approvals, and stronger sales conversations.

Got a moodboard? Upload it.
Need to visualize a branded scene? Generate it.
Want to show how a campaign could work for different target groups? Adapt age, gender, styling, and more in just a few clicks.

Once the concept is approved, you can carry it directly into filter production.

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Create Filter

This is where your approved concept becomes a real, production-ready AI filter. You select the model, choose the filter method, and create the output logic you want to use in production. The process supports both single-person and multi-person filters.

Offered services:

Text2Filter — Describe the scene in a prompt. The AI generates the full environment. Every generation is unique. Best for creative activations where variety is the goal.

Image2Filter — Upload a base image that defines the scene. Mask the area where the AI should place the person — the rest of your image stays untouched. Your approved concept, your branding, your composition — none of it changes. Best for campaign work where consistency is non-negotiable.

Once the result is approved, your team can finalize the filter, assign it to a project, and prepare it for QA and deployment.

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Manage & Test

The Filter Creator is not just where filters are created — it is where generative content is professionally managed, tested, and updated. It gives your team one central environment to control both self-created and purchased filters across the full live content process.

Key capabilities include:

Run QA before launch and share results instantly — Test filters across diverse input photos, validate quality before go-live, and share test results via link with clients or internal stakeholders for faster approvals.
Update live content via Alias IDs while keeping your integration stable — Manage filters, update prompts and underlying assets, change preview images or filter names, and retrieve filter information via API — all behind a static integration reference.

At the center of this process is the Alias ID system. An Alias ID is a static UUID that acts as a permanent filter reference inside your integration. Your developer integrates this Alias once. From there, your creative team can update the content behind it directly in the Filter Creator — without changing the integration itself.

That means you can swap the actual filter, adjust prompts and related assets, rename the filter, or replace the preview image at any time — while the technical connection stays untouched and your UI updates automatically.

The result is a far more scalable process: developers integrate once, while creative teams stay fully in control of live content. This reduces dependency on engineering resources, speeds up campaign updates, and turns AI filter operations into a flexible content process instead of a technical bottleneck.

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Statistics

Creating AI content is one thing. Managing it professionally means understanding how it performs. The Statistics section gives your team visibility into usage, generation performance, and operational quality across your projects.

You can track:

Credit usage and transactions over time
Generation speed, success rates, and failure rates
Performance by endpoint or filter

This allows you to move from assumptions to informed decisions. In combination with the Alias ID, this system lets you execute, evaluate, and iterate — all within the same suite. Fully managed by your creative team.

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The Result: Your Team Becomes Far More Independent

The biggest shift the Filter Creator creates is operational independence.

Instead of depending on external timelines, engineering bandwidth, or one-off production loops, your team can handle a large share of AI filter production itself.

That means: