AI Image Licensing Explained: What You Actually Need to Know

If you've tried to figure out whether you can legally use an AI-generated image for your project, you've probably run into a wall of conflicting information. Lawyers hedge. AI companies bury the answer in terms of service. Blog posts from 2023 cite outdated guidance.

Here's what actually matters for people who need to ship work.

The copyright question: who owns AI images?

The U.S. Copyright Office has been clear on one point: purely AI-generated images cannot be copyrighted. Their position, affirmed in multiple rulings between 2023 and 2025 (including the Théâtre D'opéra Spatial registration denial in 2023 and subsequent guidance updates through 2025), is that copyright requires human authorship. A machine can't be an author.

This means two things:

If you type a prompt and get an image, that image has no copyright protection. You can't stop others from using it, and neither can the AI company that generated it.

If you substantially modify an AI-generated image (compositing, painting over it, combining it with other elements in creative ways), the human-authored portions may be copyrightable. The threshold for "substantial" is still being tested in courts.

For most practical purposes, pure AI-generated images exist in a kind of gray zone: not public domain (which has a specific legal meaning), but also not protected. The AI company's terms of service become the de facto rules.

What the AI platforms actually say

Every major image generation platform has different terms. Here's the landscape:

OpenAI (DALL-E) grants users rights to use, reproduce, and commercialize images they generate, subject to content policies. You own what you make, but OpenAI retains broad rights to use generations for training and improvement.

Midjourney gives commercial rights to paid subscribers. Free tier users get more limited rights. They've been explicit that users are responsible for ensuring they have the rights to any input images used in generation.

Stable Diffusion (the open model) has no centralized terms. It depends on which version and which interface you're using. The models themselves are released under various open licenses, but that's separate from rights to outputs.

Adobe Firefly emphasizes that their models are trained on licensed content, positioning their outputs as safer for commercial use. They provide indemnification for enterprise customers.

The pattern: paid tiers generally mean commercial rights. Free tiers often don't. Read the terms for the specific tool you're using.

Commercial use: the practical answer

Can you use AI-generated images commercially?

Yes, in most cases, if:

• You're using a paid tier of a major platform
• The platform's terms explicitly grant commercial rights
• The image doesn't infringe on existing trademarks or copyrights (depicting recognizable brands, logos, or copyrighted characters)
• You're following the platform's content policies

It gets complicated when:

• You used reference images you don't have rights to
• The AI generated something that closely resembles a copyrighted work
• You're in a heavily regulated industry (some platforms exclude certain use cases)
• You're making claims about the image that require it to be "original work"

The biggest risk isn't that someone will sue you for using an AI image on your website. It's that you'll need actual copyright protection (for a logo, a character, a key brand asset) and discover too late that you can't get it because the work was AI-generated.

Attribution: do you need to credit AI images?

Legally? Usually no. Most platforms don't require attribution.

Ethically? That's a different question, and one we have opinions about.

The case for disclosure: people make different decisions when they know something is AI-generated versus human-made. A viewer might feel deceived if they assumed a photo was captured by a photographer and later learn it was generated. Disclosure respects their ability to make that judgment.

The case against mandatory disclosure: not everything needs a label. Stock photos have always been generic. Nobody discloses that their website hero image came from Shutterstock.

Our position: context matters. Editorial use (journalism, documentation) should be disclosed. Marketing and design? Use your judgment, but err toward transparency.

How OKSLOP licensing works

We built OKSLOP to be dead simple:

• Free to use. No payment required.
• Commercial use allowed. Use it in client work, on products, in ads.
• No attribution required. Nice if you do, not required.
• No account required. Download and go.

Every image on OKSLOP is AI-generated, and we're upfront about that. The name tells you. That's intentional.

When you download an OKSLOP image, you're getting a perpetual, worldwide, royalty-free license to use it for any legal purpose. You can modify it, combine it with other work, use it as a reference, whatever. The one thing you can't do is claim you hold the copyright to the original image or try to restrict others from using it.

We don't track downloads. We don't require sign-ups. We don't have different tiers with different rights.

Compared to traditional stock licenses

If you've used stock photography, you're familiar with two main models:

Royalty-free (RF) means you pay once and can use the image multiple times, in multiple projects, forever. "Royalty-free" doesn't mean free. It means no ongoing royalties. Shutterstock, iStock, and Adobe Stock primarily sell RF licenses. Prices range from $10 to $500+ depending on resolution and exclusivity.

Rights-managed (RM) means you pay per use, with pricing based on how you'll use it, where, for how long, and how prominently. Editorial photography and high-profile advertising often use RM licensing. Prices can run into thousands for a single image.

Both RF and RM images are copyrighted. The photographer or agency holds the copyright; you're purchasing a license to use the work under specific terms.

AI image platforms flip this model. Since the outputs often can't be copyrighted, the "license" is really just the platform's permission to use what their system generated. It's more like a terms of service than a traditional license.

OKSLOP is simpler than all of these: free images with broad permissions. Use them. Don't worry about it.

Common questions

Can I use AI images commercially? Yes, if the platform's terms allow it (most paid tiers do) and you're not infringing on other rights.

Do I need to credit AI images? Usually not legally required. Whether you should is a judgment call based on context.

Who owns AI-generated art? Nobody, in the traditional copyright sense. The platform's terms define what you can do with it.

Can I trademark an AI-generated logo? This is genuinely unsettled. The USPTO has rejected some AI-generated marks and approved others. If trademark protection matters to your business, work with a lawyer and consider human-created alternatives.

Can someone steal my AI-generated image? Technically, they can use it. You don't have copyright protection to enforce. Practically, for most use cases, this doesn't matter.

Is using AI images ethical? We think so, when done transparently. Others disagree. This is a cultural debate, not a legal one.

The bottom line

AI image licensing is simpler than the discourse makes it seem:

1. Check the platform's terms for commercial rights
2. Don't expect copyright protection for pure AI outputs
3. Be transparent about AI generation when context warrants it
4. For mission-critical IP needs (logos, characters), consider human-created work

For everything else (blog posts, presentations, mockups, social media, placeholder content, internal docs), AI-generated images are a practical tool. For a guide on which contexts are appropriate, see our decision tree. Platforms like OKSLOP make the licensing part trivial: download, use, move on.

The legal landscape will continue evolving as courts work through cases and regulators catch up. But for everyday commercial use today, the answer is usually: yes, you can use it, and no, you don't need attribution.

Just read the terms of service. That's where the actual rules live.