AI Image Generation

AI image tools create marketing imagery and social graphics, sketch product concepts, remove or expand backgrounds, build mockups, edit part of a photo (a technique called inpainting), place readable text inside an image, and (with reference images and a style guide) hold a consistent brand look across a set. Everything they produce is synthetic media: convincing, original-looking imagery that was generated rather than photographed.

That is exactly why the rest of this page matters more than the feature list. A picture is published, printed, and shared, and it can depict people and products that never existed. The tools make that trivial; using them well means handling the license, the people in the frame, honesty with your audience, and other people’s rights.

Commercial-use rights aren’t universal. They differ by provider and by plan, and they change. The habit that protects you is simple: read the specific tool’s current terms before you rely on an image for business, and keep a dated copy of what you relied on.

The landscape as we checked it: OpenAI states that, subject to its terms, you own the images you make with ChatGPT and can use them commercially. Adobe positions Firefly as built for commercial use, trained on licensed and public-domain content. Ideogram states it does not claim ownership and does not restrict commercial use. Canva makes no copyright claim and permits commercial use under its AI terms, while noting your rights may not be exclusive. Midjourney grants commercial use to subscribers but requires larger companies to be on a higher plan. Each of those is the provider’s own stated position, recorded on the cards below with the date we checked. Confirm the current wording on the provider’s site before a launch.

The second rule is honesty. Label AI imagery when it could be mistaken for a real photograph, especially images of people, places, or products that do not actually exist, and especially in advertising or news-like contexts. Disclosure is increasingly required by platforms and ad rules, and beyond compliance it keeps trust intact: an audience that discovers an unlabeled fake stops believing the real ones too. When AI images run through a reviewed production process (generated, then checked by a person before publishing), the disclosure and accuracy questions get caught before anything ships.

Do not ask a tool to reproduce trademarked material, brand logos, or a recognizable artist’s work, and do not pass off imagery built on someone else’s protected work as your own. The tool will often comply with such a request; that does not make the result yours to use.

And there is a genuine open question underneath all of this: who owns an AI-generated image is legally unsettled, and providers say so themselves: several note that you may not hold exclusive rights to what you generate. For a throwaway social graphic that uncertainty is minor. For a logo, a mascot, or any brand-critical asset you need to own and defend, treat AI as a drafting step and talk to counsel before you build a brand on it. None of this is legal advice; it is the reason to get some when the stakes are real.

A set of current image tools, each card showing the free option, the limits we could verify, and the provider’s stated commercial-use position, with the date we checked. Beyond these, open models such as Stable Diffusion and Flux can be run on your own hardware, trading setup and maintenance for more control and privacy. It’s a lane worth knowing exists even if most businesses start with the hosted tools here.