Zentropi Now Labels Images

When we launched Zentropi last year, we set out to transform how developers can get their AI-powered systems under control. Our platform let teams build custom content labelers in minutes using plain English policies—but only for text.

Today, that changes. Zentropi now supports image labeling.

Why Images Matter

Whether you're running a social platform, a creative tool, or an AI image generator, you face the same challenge: visual content is hard to moderate at scale.

Traditional approaches force a choice: expensive human review that can't keep up, or rigid classifiers that don't match your specific policies. And if you're in the AI image generation space, filtering prompts only gets you so far. Users find creative ways to phrase requests. Prompt injection happens. Sometimes a perfectly innocent prompt produces something you don't want on your platform.

Now you can analyze the images themselves—against your own rules, at scale.

How It Works

If you've built text labelers with Zentropi, image labeling will feel familiar. You write a policy describing what you want to detect, test it with sample content, and deploy to production. Our automation tools make it easy for even non-policy experts to draft and optimize labeling criteria.

The difference now is in what you're evaluating. Instead of analyzing user messages or prompts, you're looking directly at pixels—user uploads, profile photos, AI-generated artwork, or any visual content flowing through your system.

A New Model for Multimodal Classification

To power image labeling, we've developed a new version of CoPE built on Google's Gemma 3 12B base model. This gives us native multimodal capabilities—the model understands images and text together, not as separate inputs stitched together.

The new model also brings significantly larger context windows at 128k tokens, which means you can write richer, more detailed policies and the model can evaluate even more complex classification criteria.

Same policy-first approach. Same accuracy targets. Now with vision.

This feature is available for subscribers only, who can also download model weights for self-hosting— enabling image classification entirely within your own infrastructure if that's what your security posture requires.

What You Can Build

Zentropi Image Labelers are a great fit for:

User-generated content platforms — Analyze profile pictures, uploads, and shared images against your community guidelines. Catch policy violations before they reach other users.

AI image generation — Detect nudity, violence, or brand-unsafe content in generated images—not just prompts. Add a safety layer after generation but before serving to users.

Marketplaces and e-commerce — Screen product photos and seller uploads for prohibited items, misleading imagery, or content that violates your terms.

Brand safety — Ensure marketing assets and AI-generated creative meet your standards before they go live.

Obligatory Cat Example

As an example, here is how easily we created a labeler for cat images. First, we started with a very basic criteria definition.

Then we uploaded a CSV containing cat images and labeled as cats (1/yes) and non-cats (0/no).

Out of the box, this worked super well. A perfect score across precision, recall, and F1!

For fun, we also fired up an optimizer that further refined the criteria into something very rigorous.

Then we instantly deployed this to our API, where it can be integrated into any system.

All told, it took mere minutes to make a custom image labeler that runs extremely fast and at just 1% the cost of a frontier model!

Getting Started

Image labeling is available today for our paid customers. If you're on our Community tier, you can continue building and testing text labelers for free—and upgrade when you're ready to add visual analysis.

To create your first image labeler:

1. Log in to zentropi.ai
2. Create a new labeler
3. Write your policy in plain English (or have one generated for you)
4. Upload test images and refine until you're confident
5. Publish and integrate via our API

If you aren't yet a subscriber but are interested in evaluating this solution or thinking through your image safety strategy, reach out at info@zentropi.ai. We've helped teams across social platforms, AI products, and creative tools build guardrails that work.

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Zentropi helps product teams build policy-steerable content classification that matches frontier model accuracy at a fraction of the cost. Learn more at zentropi.ai.