2026-07-02 · all guides

AI Cover Art on KDP: The Rules, the Risks, and the Checkbox

AI covers are allowed, and they are AI-generated images

KDP permits AI-generated cover art the same way it permits AI-generated text. The classification is the part people miss: a cover made with an image model is an AI-generated image under the KDP definitions, and the disclosure questions at upload cover images as a separate category from text. A book with human-written text and a Midjourney cover answers no for text and yes for images.

The now-familiar mechanics apply. The disclosure is answered inside the publishing flow, is not shown on the product page, and does not block publication. Editing the image afterward, color grading, adding typography, compositing, does not reclassify it: the AI created the image, so it is AI-generated. Using AI to touch up a photograph you took or art you drew is the assisted case and needs no disclosure.

The real risk is intellectual property, not the checkbox

Under KDP terms you are responsible for your cover the way you are responsible for your text, including verifying it does not infringe copyright, trademark, or publicity rights. Image models make this genuinely easy to get wrong. Prompts that name an artist can produce output that trades on that artist's recognizable style; prompts in popular genres can surface protected characters, logos, or celebrity likenesses without you asking for them.

Practical rules: never prompt with living artists' names or franchise terms; inspect the output for anything recognizable, embedded gibberish text, watermark ghosts, familiar faces; and check the license terms of the image tool you used, since services differ on commercial use rights. A separate honesty note for nonfiction: a photorealistic AI image presented as a real photo of a real thing, a specific place, a purported author portrait, shades into misleading content, which the guidelines do prohibit. Illustrative covers are fine; deceptive ones are not.

The technical and quality bar a cover must clear

Whatever generated it, the file must meet spec: for ebooks, 2,560 by 1,600 pixels at a 1.6:1 ratio is the recommended target; for paperbacks, a full wraparound with spine width computed from page count, plus bleed. AI tools rarely output print-ready dimensions, so plan on upscaling and compositing in a design tool regardless.

The quality bar is set by the thumbnail. Buyers see your cover at postage-stamp size in search results, which is where lush AI illustrations with six focal points and mushy detail die. Strong covers in thumbnails have one dominant visual, high contrast, and a title readable at 100 pixels wide, and that last part means typography is your job: AI image models still mangle text, so generate art without words and set the title yourself. Look at the top twenty covers in your category and match their visual conventions; a cover that ignores genre signals reads as amateur even when the art is good.

A sane workflow from prompt to upload

Generate wide: dozens of variations, judged at thumbnail size, not full screen. Pick for clarity and genre fit, not for maximal detail. Upscale to spec, composite typography with real contrast, and for print, build the wraparound with the spine width your final page count dictates. Then view it next to the current bestsellers in your category and ask whether it belongs.

At upload, answer the images question honestly, remembering it costs you nothing visible. If your text was AI-drafted too, both disclosures apply, and if you are unsure how your particular mix of text, images, and editing classifies, the free checker ebookdone hosts at /tools/kdp-ai-disclosure walks the KDP questions in order. The disclosure is the easy part; the thumbnail test is the one that decides sales.

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