Skincare Infographic Checklist: Slides That Skip the Medical Claims

A checklist for skincare infographics: skin type, ingredients, usage, size, plus wording that crosses into drug claims and AI models that render text cleanly.
Shoppers pick skincare based on ingredients and the result they're promised, and that promise is exactly where brands get into trouble. Cosmetics aren't drugs, and claiming a medical effect simply isn't allowed. A good skincare infographic sells on facts, not miracles. Here's the slide checklist I work from, with the wording traps marked separately.
Slide 1: skin type and purpose
The first slide answers "is this for me?" Which skin type: dry, oily, combination, sensitive. Which job: hydration, cleansing, nourishing. That alone clears up half the hesitation, because people immediately know whether the product applies to them.
Slide 2: ingredients and what they do
This slide can do a lot of selling if you phrase it carefully. List the key actives and their role: hyaluronic acid for hydration, niacinamide for tone. Keep the language descriptive, not a promise to cure anything or erase wrinkles. "Hydrates and softens" is fine. "Removes wrinkles in a week" is not, that's already a drug claim.
Slide 3: how and when to apply
Order of application, morning or night, how many times. For skincare this detail matters more than people think: wrong application is what generates "didn't work" reviews, even when the product itself is fine. Simple step icons read faster than a paragraph of instructions. Though honestly, I still go back and forth on whether application order deserves its own slide or just a line in the usage section, it depends on the product.
Slide 4: size, texture, and how far it goes
Volume in ounces or milliliters, texture, how long one bottle lasts. AI models render cream and serum texture beautifully, that's genuinely one of their strengths. But I move the actual size numbers into overlay text added after generation, because a wrong number here costs trust.
Which AI tools handle skincare text well
Skincare slides carry a lot of small text: ingredient names, usage steps, numbers. Not every model handles lettering the same way. Ideogram tends to hold up for ingredient lists and icon labels, and GPT Image 2 handles denser layouts reasonably well. If you're relying on exact wording, it's worth running it through a text-accuracy check before you commit to a layout. For video versions of the same rules, I also wrote about AI video for cosmetics, supplements, and home goods.
I'll admit the line between describing and promising still trips me up sometimes, whether a phrase already sounds like a medical claim or not, so when I'm unsure I show it to someone else or just tone it down. Same with the application icons: if a tester can't follow the steps without a caption, I redo the icon. You can put together the background and layout for skincare slides in Flami, then proofread the ingredient list and numbers separately.
FAQ
What slides does a skincare listing need?
Skin type and purpose, ingredients with their role, how and when to apply, and size with texture. These four cover what shoppers actually ask, and they cut down on "didn't work" reviews that are usually about misuse, not the product.
What shouldn't I say in a skincare infographic?
Don't promise a medical result, cosmetics aren't drugs. "Removes wrinkles" or "cures acne" reads as a drug claim and can get a listing rejected. Descriptive phrasing like "hydrates," "softens," or "evens tone" stays safe.
Which AI model handles ingredient text best?
Ideogram and GPT Image 2 tend to hold text more reliably than most alternatives. Still worth checking exact wording against a text-rendering test before finalizing. For volume numbers, overlay them in an editor after generation rather than trusting the model to get the digits right.
Can AI render cream texture convincingly?
Yes, texture and sheen for creams and serums are one of the things these models do well. Just keep the claims descriptive rather than medical, and double check that ingredient text stays legible.
Sources
- Flami blog: Cyrillic text rendering test for AI image generators
- Flami blog: AI video for cosmetics, supplements, and home goods
About the author
Megan Brooks
Reviewer at Flami