Not All Skin Tones Are Created Equal in Your Editing App — Here's What to Use Instead

If you have a deeper skin tone and you've ever used a popular AI beauty filter, you've probably noticed it. The filter brightens your face in a way that feels off. The "skin smoothing" feature flattens your features. The auto-enhance setting does something weird to your undertones. You didn't imagine it — and you're definitely not alone.

The uncomfortable truth about a lot of mainstream photo editing apps is that they were built — whether intentionally or through sheer neglect — with lighter complexions as the default. The AI models that power these tools were trained on datasets that skewed heavily toward certain skin tones, and those biases got baked right into the product. The result is a category of tools that works beautifully for some users and frustratingly for many others.

At PixelGlow, we decided to actually test this. We put a range of popular and emerging apps through their paces with testers across a wide spectrum of skin tones — from very fair to deep brown — and paid close attention to how each app handled color grading, lighting, AI filters, and skin retouching. Here's what we found.

Why This Problem Exists (And Why It Persists)

Before we get into the app-by-app breakdown, it's worth understanding why this gap exists in the first place.

AI photo editing tools — the kind that automatically smooth skin, adjust lighting, or apply beauty filters — are only as good as the data they were trained on. For years, many of the most widely used facial recognition and image processing datasets were disproportionately composed of lighter-skinned subjects. Studies from MIT and other institutions have documented this bias in AI systems across industries, and photo tech is no exception.

When a model hasn't seen enough diversity in its training data, it struggles to accurately process what it hasn't learned. That's why AI skin smoothing can look natural on a fair complexion but muddy or over-blurred on melanin-rich skin. It's why auto-lighting features often overexpose darker faces. And it's why some "beautifying" filters default to lightening skin — because the model has learned to associate lighter tones with the "enhanced" outcome.

The good news: some developers are actively working to fix this. The bad news: the gap is still pretty wide.

Apps That Fall Short

Facetune (standard mode) remains one of the most popular retouching apps in the US, and in many ways it's genuinely powerful. But our testers with deeper skin tones consistently flagged issues with the app's automatic smoothing and whitening tools. The "Whiten" feature — designed for teeth — often bled into surrounding skin. The AI skin retouching mode flattened texture in ways that looked unnatural on deeper complexions, erasing the kind of dimensional skin detail that lighter-skinned users retained.

Meitu's standard filters showed similar issues. Several AI beauty filters in the app's default lineup visibly lightened skin tone without user input — a design choice that's hard to defend in 2024. To be fair, Meitu has been rolling out updates that give users more granular control, but the defaults still leave a lot to be desired.

Lightroom Mobile is a more professional-grade tool, and its issues are less about AI bias and more about the learning curve. The app gives you enormous control over color grading, HSL (hue/saturation/luminance) adjustments, and tone curves — all of which are genuinely useful for editing photos of darker skin tones. But it requires real skill to use well, and the automatic presets don't perform consistently across skin tones.

Apps That Actually Deliver

Perfect365 has quietly become one of the better options for users with deeper skin tones. The app's makeup simulation tools are calibrated across a wider range of complexions, and the foundation matching feature — which lets you virtually try on different shades — is genuinely impressive in its range. Our testers appreciated that the app's skin retouching maintained texture rather than blurring it into oblivion.

Darkroom (iOS) is a sleeper hit for this use case. While it's primarily a photo editing app rather than a beauty-specific tool, its color grading capabilities are exceptional, and it handles the warm undertones common in deeper skin tones with real nuance. The app's curves and selective color tools give users precise control without defaulting to any particular beauty standard. Several of our testers called it their go-to for portrait editing.

YouCam Makeup has made notable strides in recent updates. The app now includes skin tone detection that adjusts filter intensity based on your actual complexion rather than applying a one-size-fits-all effect. The AR makeup try-on features work across a broader range of tones than most competitors, and the lip color and contour tools are particularly well-executed for medium to deep skin tones.

Facetune's newer AI Portrait mode — which the company rolled out as a significant update — shows real improvement over earlier versions. The skin retouching is more texture-aware, and the app now includes a skin tone lock feature that prevents automatic lightening. It's not perfect, but it's a meaningful step forward.

What to Look for When Choosing an App

If you're shopping for a new editing tool and skin tone accuracy matters to you — and it should — here are a few things to check before you commit:

Look for manual HSL controls. Apps that let you adjust the hue, saturation, and luminance of specific color ranges (especially orange and red, which appear heavily in skin tones) give you far more control than apps that rely entirely on AI automation.

Test the smoothing tool on a real photo first. Before you use an app's skin retouching feature on anything you plan to post, run a test. Does it maintain your skin's natural texture? Does it change your undertone? These are easy to spot if you're looking for them.

Check the filter previews. If an app's filters all seem to lean cooler and lighter, that's a signal about who those filters were designed for.

Read reviews from users who look like you. App store reviews are genuinely useful here. Search for mentions of skin tone or complexion in the reviews, and you'll get a much clearer picture of real-world performance.

The Bottom Line

The photo editing app market has a diversity problem, and while some developers are starting to take it seriously, the industry still has significant ground to cover. Until AI training datasets become more representative — and until more developers make inclusive design a genuine priority rather than an afterthought — users with deeper skin tones will need to be selective about the tools they rely on.

The apps highlighted here aren't perfect. But they're a starting point. And if you're building a photo editing workflow that actually works for your complexion, starting with the right tools makes all the difference.

Your skin tone isn't the problem. The app might just be.