AI skin analysis for dark skin

Skin tech never saw dark skin. Oyster grew up on it.

Most analysis was trained on lighter skin and quietly fails on deeper tones. Oyster reads every shade with the same precision, and it is measured to prove it.

HyperpigmentationMelasmaDark spotsPost-acne marks+11
Book a Demo ↗

Every skin tone, in 17+ countries

Skin analysis built for deep skin first.

One selfie, read on the same 10-point Monk scale from the lightest tone to the deepest, so every customer is read on equal terms.

Hyperpigmentation
6.4/ 10 · cheeks
Post-acne marks
5.2/ 10
Skin barrier
7.1/ 10
The Melanin Moat

Trained on the largest melanin-rich dataset in the industry.

Two million real skin images across seven countries, weighted toward deeper tones, so the deepest skin is where the analysis starts. That data is the moat, and it grows with every scan.

See the research ↗
Oyster AI skin analysis result on a deep skin tone
Monk Skin Tone Scale
10 tones
Monk Skin Tone Scale

Ten tones, read on one scale.

Oyster reads skin tone on the Monk Skin Tone Scale, a 10-point scale developed by Dr. Ellis Monk with Google. It runs from the lightest skin to the deepest, so every shopper is read on the same scale.

Read the research ↗
Oyster · Scan analysis
An Oyster scan analysis showing skin type, skin tone and concerns
The right concerns

Built for the concerns that actually show up on deeper skin.

Hyperpigmentation, melasma, post-inflammatory marks and uneven tone are the concerns deeper skin brings to the counter most. Oyster measures each one with a number and a place, so the recommendation fits the skin in front of you.

Read: hyperpigmentation on dark skin ↗
Concerns measured on deeper skin
Hyperpigmentation
6.4/10
cheeks, forehead
Melasma pattern
3.8/10
upper cheeks
Post-acne marks
5.2/10
jawline
Even tone
7.0/10
overall
Open to scrutiny

Open to a second opinion.

Oyster welcomes independent review from the clinicians who see these patients every day. Bring your own customers and check the results on the tones you serve.

Read Oyster Studies ↗
Oyster Studies
Oyster Studies research on deep skin tones
Skin tones on one scale
0

Read on the Monk Skin Tone Scale, from the lightest tone to the deepest.

Why most skin AI fails on dark skin.

Three gaps that Oyster was built, from the data up, to close.

Gap 01

Skewed training data

Trained mostly on lighter skin, so deeper tones sit outside what the model has seen.

Gap 02

Lighting bias

Exposure and colour tuned for light skin wash out the very signals that matter on deep skin.

Gap 03

Wrong concerns

Blind to hyperpigmentation and post-inflammatory marks, the concerns deeper skin brings most.

What partners see with Oyster.

Questions about dark skin.

Does Oyster work on dark skin?+
Yes. Oyster works across all skin tones and reads each one on the Monk Skin Tone Scale, a 10-point scale developed by Dr. Ellis Monk with Google.
Why do other skin analysis tools struggle on deeper tones?+
Most were trained mostly on lighter skin, with lighting and colour tuned the same way. On deeper skin that hides the signals that matter, like hyperpigmentation and post-acne marks. Oyster was trained on a melanin-rich dataset from the start.
What is Oyster trained on?+
Two million real skin images across seven countries, weighted toward deeper tones. It is the largest melanin-rich dataset in the industry, and it grows with every scan your customers run.
Which concerns does it measure on deeper skin?+
Fifteen in total, including hyperpigmentation, melasma, post-inflammatory marks, uneven tone, dark spots, oiliness, texture and barrier health. Each comes back with a number and a location on the face.
Can I test it on my own customers?+
Yes. Run real scans on the deepest tones you serve, with your own products, before you commit to anything. Oyster also welcomes independent review from clinicians.
Does it work on any phone?+
Yes. Oyster runs on a budget Android or the newest iPhone. No app for your customer, no hardware for you.
See it on your own customers

Run real scans on real skin, across every shade.

Bring your own products and customers, run the analysis on the deepest tones you serve, and see the results for yourself before you commit to anything.