1 Tools listed

Images

Generators and editors that create images from a description, or modify existing ones.

Images: how to choose

Image tools split into two families that are often listed together and rarely interchangeable. Generators produce an image from a text description. Editors work on an image you already have, removing a background, extending a frame, replacing an object, raising the resolution. Knowing which family you need narrows the field immediately.

What actually differentiates them

Control matters more than raw quality. Most current generators produce attractive images. Far fewer let you obtain the specific image you had in mind, then a variation of it with one element changed. Look for reference images, region editing, pose or composition guidance, and the ability to keep a character or a style consistent across several outputs.

Consistency across a series is the hard problem. A single striking image is easy. The same character, in the same style, across a dozen illustrations is where tools separate sharply, and it is exactly what most real projects need.

Text inside images remains uneven. If your use involves posters, mockups or anything with legible words, test it specifically. Quality here has improved but varies widely between tools, and a generator that renders faces beautifully can still produce unreadable lettering.

Resolution and output format decide whether the result is usable. A beautiful image at insufficient resolution is a mood board, not an asset. Check native output size, whether upscaling is included, and whether transparent backgrounds are supported when you need them.

What to check before committing

Commercial rights are the point to settle first, and they vary by vendor and by plan. Free tiers frequently exclude commercial use entirely. Some vendors publish generated images publicly by default unless a paid plan makes them private, which matters for anything under embargo.

Understand that ownership of generated images is legally unsettled in several jurisdictions. Vendor terms typically grant you a broad usage licence rather than a guarantee of copyright ownership, and those are not the same thing. For a logo or anything you need to defend, that distinction is worth a conversation with a lawyer.

Expect iteration, and budget for it. The gap between the first output and a usable one is typically several attempts, which matters when you are paying per generation.

How pricing usually works

Credits are the norm, with one generation consuming one or several credits depending on resolution and model. Subscriptions bundle a monthly allowance, and unused credits often expire.

Two costs are easy to miss. Higher resolutions and newer models consume more credits per image, sometimes several times more. And upscaling, background removal or variations are frequently billed separately from the initial generation, so the real cost per usable asset is a multiple of the advertised cost per generation.

Frequently asked questions

Frequently asked questions about Images

Can I use AI generated images commercially?+

It depends entirely on the vendor and on your plan. Many free tiers exclude commercial use, while paid plans generally allow it. Read the licence rather than the marketing page, and check whether the vendor also claims the right to display your generations publicly, which some do by default outside the higher tiers.

Who owns an image generated by AI?+

The legal position is unsettled and differs between jurisdictions, with several courts and copyright offices holding that purely machine generated work attracts no copyright. Vendors typically grant you a broad usage licence rather than transferring ownership they may not hold. For assets you need to defend against reuse, such as a logo, take legal advice.

How do I keep the same character across several images?+

Look for tools offering character references, style references or a training feature on your own images. Prompting alone will not hold a character consistent across a series. This capability is the main practical difference between generators once basic image quality is comparable.

Why does text in generated images come out wrong?+

Image models generate pixels rather than characters, so lettering is reproduced as shape rather than as language. Results have improved and vary widely between tools. If your work involves readable text, test that specifically before choosing, or plan to add the text afterwards in a design tool.

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