Mole Checker — Check a Mole From a Photo
This tool is for informational purposes only and does not constitute medical advice. Always consult a qualified dermatologist.
What is a mole checker?
A mole checker analyzes a photo of a mole with a machine-learning model trained on dermatology images, then estimates whether it looks like a common mole, an atypical one, or something worth having examined — analyzing visible characteristics such as asymmetry, border irregularity, and color variation — in seconds, on any device, in 23 languages. A single photo can’t tell whether a mole is changing (the “E” — evolving — in the ABCDE rule), so re-check it with new photos over time; a changing mole is one of the most important warning signs. Use it as a first look to decide whether — and how urgently — to have a mole checked by a doctor. It complements professional care; it cannot detect or rule out skin cancer, and it doesn’t replace the exam, dermoscopy, or biopsy only a dermatologist can provide.
How the mole checker works
Upload a photo
Take a close, sharp, well-lit picture of the mole — fill the frame and keep it in focus.
AI analysis
Our model, trained on clinical dermatology images, reads the mole’s shape, border, and color against 62+ conditions.
Get results
See the most likely matches and a severity signal, with clear guidance on your next step.
Clinically validated AI technology
Clinically validated AI with 97.9% sensitivity, peer-reviewed in the Indian Journal of Dermatology (2022)
How It’s Validated
The AI technology used in SkinAI has been independently tested by dermatologists and oncologists. Results are published in a peer-reviewed clinical study with sensitivity of 97.9% and specificity of 97.1% across all skin pathology classes (CI 95%).
What This AI Does Not Do
SkinAI does not diagnose. It uses a clinically validated screening algorithm that identifies visual similarities with known skin conditions. The final decision is always made by a qualified healthcare professional. The AI model is fixed and clinically validated before each release.
Source: Sokolov K, Shpudeiko V. Dynamics of the Neural Network Accuracy in the Context of Modernization of the Algorithms of Skin Pathology Recognition. Indian J Dermatol. 2022;67(3):312. doi:10.4103/ijd.ijd_1070_21 · PMID 36386072 · PMC9644746
Why use a mole checker?
An easy way to keep an eye on a mole between skin checks — and to decide when one is worth a doctor’s look.
Instant screening
An assessment in about 30 seconds — no appointment, no waiting room.
Available anywhere
Works in your browser on phone or desktop, 24/7, in 23 languages.
Built for every skin tone
Trained on clinical images across the Fitzpatrick spectrum (I–VI).
Private by design
GDPR-compliant and EU-trained; your photos are processed securely for your analysis, not sold.
Peer-reviewed model
Validated in a peer-reviewed clinical study, published in the Indian Journal of Dermatology (2022).
Track changes over time
Re-photograph the same mole periodically — a mole that is changing is the single most important melanoma warning sign.
How our AI reads a mole photo
The model examines the visual features a clinician also weighs — the same ones behind the ABCDE rule: asymmetry, border regularity, the number and evenness of colors, and overall size — and compares them against the moles and lesions it has learned. It reasons only from what is visible in the image: it cannot use a dermatoscope, feel the lesion, or know how the mole looked last year, which is why its output is a screening estimate rather than a diagnosis. A single sharp, well-lit close-up gives the model the most to work with — and photographing the same mole again over time adds the one clue it can’t see in one image: change.
How the AI works under the hood
In plain terms: it’s a neural network trained on a large library of labeled clinical dermatology images.
When you upload a photo, the model converts the image into a set of visual features — asymmetry, border sharpness, color variation, and size relative to the surrounding skin — and compares that pattern against every condition it has learned. It returns the closest matches with a calibrated confidence and an overall risk signal, ranked from most to least likely.
It works only from the pixels in front of it: it doesn’t read your history of sun exposure or family risk, and it can’t run dermoscopy or a biopsy — the tests that actually diagnose melanoma. The model is fixed and validated before each release, so it behaves consistently — but it can only recognise patterns it was trained on, which is why a clinician’s judgement remains the final word.
What “accuracy” means — and its limits
A screening tool and a diagnosis are not the same thing. Even a strong model produces some false positives and false negatives — so a reassuring result is never a reason to ignore a mole that worries you or has changed. Real-world accuracy drops with blurry or poorly lit photos, varies across skin tones, and is hardest for early melanoma, which can look unremarkable in a single image.
What a mole checker screens for
It focuses on moles and pigmented lesions, within a model that screens for 62+ skin conditions. For every one, the AI only suggests possible visual matches — a diagnosis can be confirmed only by a dermatologist.
Benign neoplasms, nevi, moles
“Benign neoplasms” refers to non-cancerous growths, and “nevi” and “moles” are specific types of benign neoplasms found on the skin.
Borderline skin lesions
Borderline skin lesions are skin changes or formations that are difficult to classify definitively as either benign or malignant.
Skin Cancer: melanoma, BCC, SCC
Skin cancer encompasses different types of malignancies that develop in the skin cells.
Dermatitis
Dermatitis is a general term for a group of inflammatory skin conditions that can be caused by various factors.
Eczema
Eczema is a chronic skin condition characterized by inflammation, itching and redness.
Mycoses: fungal skin infections
Fungal infections of the skin, hair, and nails, including ringworm and tinea.
Papulosquamous disorders: psoriasis, lichen
Papulosquamous disorders are a group of skin conditions characterized by the appearance of inflamed, thickened areas of skin covered with scales or crusts.
Urticaria and erythema
Urticaria and erythema are skin conditions that can be associated with allergic reactions or other diseases.
Viral skin diseases: HPV, herpes
Viral skin diseases are infections caused by viruses that affect the skin.
Acne, rosacea, milium
Acne is an inflammatory skin condition that occurs when hair follicles or pores become clogged with sebum, dead skin cells, and bacteria.
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Pricing
Choose the option that works best for you
Single Scan
One-time purchase, 1 scan
- Detailed informational report
- Reference images
- Personalized next-step guidance
7-Day Starter Plan
Auto-renewing subscription, 5 scans included
- 5 scans included
- Detailed informational reports
- Reference images
- Personalized next-step guidance
- PDF report download
Web Terms of Service
Effective Date: March 21, 2026
These Website Terms of Use (“Terms”) govern your access to and use of the website at skinailab.com and any related web pages or web-based services operated by FJCode OÜ (“we,” “us,” or “Company”).
These Terms apply to your use of the website and web-based features of the SkinAI service. They do not apply to purchases or use of SkinAI through the Apple App Store or Google Play, which are governed by the applicable platform terms and our separate mobile terms.
By accessing or using the website, you agree to be bound by these Terms. If you do not agree, please do not use the website.
1. Company Information
FJCode OÜ
Registration No.: 16993109
Viru väljak 2, 10111 Tallinn, Estonia
Website: skinailab.com
Email: mail@skinai.pro
2. Definitions
“Company,” “we,” “us,” “our” means FJCode OÜ, the owner and operator of the SkinAI service.
“User,” “you” means any individual accessing or using the website.
“Website” means skinailab.com and any related web pages or web checkout pages operated by the Company.
“Service” means the SkinAI web-based service, including AI-powered skin check functionality, scan reports, and related digital features made available through the Website.
“User Content” means any information, materials, images, or photos uploaded or submitted by Users while using the Service.
3. About the Service
SkinAI is a consumer software service that allows users to upload skin photos and receive AI-generated informational outputs and related digital content.
The Service is provided for informational and educational purposes only. It is not a medical device, not a diagnostic service, and not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider if you have concerns about your skin condition.
Results may be less reliable and the Service may be less suitable in certain cases, including:
- Fitzpatrick skin type V or VI;
- skin areas with tattoos, makeup, or other artificial modifications; or
- damaged, inflamed, or otherwise non-intact skin, such as open wounds or burns.
4. AI-Powered Analysis
SkinAI uses artificial intelligence to analyze user-submitted skin images and generate informational outputs. These outputs may include image-based pattern analysis, informational summaries, and educational insights.
All outputs are provided for informational and educational purposes only and do not constitute a medical diagnosis, clinical opinion, or treatment recommendation.
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You must be at least 18 years old, or the age of legal majority in your jurisdiction, to use the Website or make any Website Purchase.
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We may offer one-time purchases, subscription plans, and other digital products through the Website. Current products, pricing, and billing terms are displayed at the time of purchase.
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FJCode OÜ
Viru väljak 2, 10111 Tallinn, Estonia
Website: skinailab.com
Email: mail@skinai.pro
Refund Policy
Effective Date: March 21, 2026
This Refund Policy applies only to purchases made directly through our website at skinailab.com and any related web checkout pages ("Website Purchases").
This Refund Policy does not apply to purchases made through the Apple App Store or Google Play, which are governed by the applicable platform rules.
1. General Principles
We provide digital services and digital content through our website.
Because access to digital services may be provided immediately after purchase, refund eligibility depends on whether the purchased service has already been used, accessed, or delivered.
Nothing in this Refund Policy limits any mandatory consumer rights you may have under applicable law.
2. Currency
All prices, charges, refunds, and calculations under this Refund Policy are processed in the currency of the original transaction, unless otherwise required by applicable law.
3. How to Request a Refund
To request a refund, please contact us at mail@skinai.pro and include:
- the email address used for the purchase;
- your full name;
- the date of purchase;
- the amount charged;
- the payment confirmation or receipt, if available; and
- a short description of the reason for the request.
We may request additional information reasonably necessary to verify your purchase and assess your request.
4. Single Scan Refunds
Single Scan is a one-time purchase that provides access to 1 scan.
You may be eligible for a full refund if:
- you request the refund within 24 hours of purchase; and
- the scan has not been used; and
- no paid report, downloadable file, or equivalent paid digital output has been generated or made available to you.
Single Scan purchases are generally non-refundable once:
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- a report has been generated;
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- the purchased digital service has otherwise been delivered,
except where a refund is required by applicable law.
5. Starter Subscription Refunds
Starter Subscription is an auto-renewing subscription billed every 7 days and includes up to 5 scans during each billing period.
a. Full Refund for an Unused Billing Period
You may be eligible for a full refund for the relevant billing period if:
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- no scans from that billing period have been used; and
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b. Partial Refund for Limited Use
If you request a refund within 24 hours of the relevant charge and only part of the included scans from that billing period has been used, we may issue a partial refund.
The refundable amount for the relevant billing period will generally be calculated as follows:
refund = price paid − (price paid ÷ included scans × used scans)
Any resulting amount will be rounded to the nearest cent in the currency of the original transaction. No refund will be issued if this calculation results in zero or a negative amount.
c. No Refund
Refunds are generally not available for the relevant billing period once:
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- more than 24 hours have passed since the relevant charge,
except where a refund is required by applicable law.
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Each automatic renewal creates a new billing period. Refund requests for renewal charges will be assessed under the same rules described above for the relevant renewed billing period.
Canceling a subscription stops future renewals only and does not automatically entitle you to a refund for the current or past billing periods.
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Cancellation and refund are different actions.
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If you do not want to be charged for the next billing period, you must cancel before the next renewal date.
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If you were charged for a scan or subscription period but the paid service was not successfully delivered due to a technical error on our side, a duplicate charge, or a billing malfunction, you may be eligible for a full or partial refund, re-credit, or service reissuance, as appropriate.
10. Non-Refundable Situations
To the extent permitted by law, we may deny a refund where we reasonably determine that the request involves unauthorized payment use, chargeback abuse, repeated refund requests for substantially consumed services, or other objectively verifiable misuse of the service or payment system.
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If you are entitled to a refund, withdrawal right, or cancellation right under mandatory law in your country, state, or region of residence, those rights remain unaffected.
If you are a consumer in the European Union, you may have a statutory right to withdraw from a distance contract within 14 days unless an exception applies.
Where permitted by applicable law, by purchasing digital content or digital services through our website and requesting immediate access, you expressly consent to immediate performance and acknowledge that your right of withdrawal may be lost or limited once performance begins.
12. Refund Review and Processing
We aim to review refund requests within 5 business days after receiving all information reasonably necessary to assess the request.
If your refund is approved, the refund will be issued to the original payment method used for the purchase, unless otherwise required by law.
13. Language
This Refund Policy is written in English. Any translations are provided for convenience only. In the event of any inconsistency or conflict between the English version and any translation, the English version will prevail, unless otherwise required by applicable law.
14. Contact
If you have questions about this Refund Policy or want to request a refund, please contact us at:
FJCode OÜ
Viru väljak 2, 10111 Tallinn, Estonia
Website: skinailab.com
Email: mail@skinai.pro
AI mole checker vs a dermatologist
| AI mole checker | Dermatologist | |
|---|---|---|
| Best for | The fast first look — “should I get this mole checked?” | The diagnosis — “is this mole dangerous, and does it need removing?” |
| Speed & access | ~30 seconds, 24/7, any device | By appointment & travel; office hours |
| What it does | Screening & triage from a photo | Dermoscopy, biopsy, removal |
| Method | A phone photo of a single mole | Dermatoscope & full-skin exam |
| On skin cancer | Cannot detect or rule out melanoma | Can diagnose and treat skin cancer |
Use a mole checker to decide how urgently to act — then see a dermatologist for any mole that is new, changing, or stands out from your others.
What it can and can’t do
It can
- Flag a mole whose look warrants a doctor’s attention
- Give a severity / urgency signal
- Help you track a mole for change over time
- Work 24/7 in 23 languages
- Help you prepare for a doctor’s visit
It can’t
- Detect or rule out melanoma or skin cancer
- Replace dermoscopy, a biopsy, or a skin exam
- See how a mole looked before, or judge it by touch
- Guarantee accuracy
If in doubt, always see a doctor.
How to take a good mole photo
A clear photo gets a better read
Four quick things before you shoot.
Natural daylight, no harsh shadows.
Get close so the mole is centred and sharp, not tiny in the picture.
Filters distort color — a key clue for a mole.
To compare over months, shoot from the same distance and light — that’s how change shows up.
When to see a doctor in person
See a dermatologist promptly — don’t wait for an AI result — if a mole shows any ABCDE warning sign:
- Asymmetry — one half doesn’t match the other
- Border — irregular, ragged, or blurred edges
- Color — more than one shade, or uneven color
- Diameter — larger than 6 mm (a pencil eraser)
- Evolving — changing in size, shape, or color; itching, bleeding, or crusting
- The “ugly duckling” — a mole that looks unlike all your others
Don’t delay — book a dermatologist for any mole that is new, changing, or stands out. Caught early, melanoma is highly treatable.
Who is the mole checker for?
Anyone keeping an eye on a mole and a phone — it’s especially useful if you:
Have lots of moles
You have many moles or atypical (dysplastic) nevi and want an easy way to keep watch between skin checks.
Have a family history
Melanoma or skin cancer runs in your family and you want to watch a mole between appointments.
Have fair or sun-exposed skin
Fair skin, freckles, or years of sun and sunburn — the profile that most warrants watching moles.
Noticed a change
A mole has changed shape, color, or size and you want a first read on whether to get it checked.
Can’t see the spot well
A mole on your back or scalp that you (or a partner) can photograph but can’t easily judge.
Are between check-ups
You’ve had a skin-cancer screening before and want to monitor a spot until your next visit.
Mole checker FAQ
Can AI check a mole from a photo?
It gives a screening estimate based on the mole’s visual features — not a diagnosis. It’s useful for deciding whether to get a mole checked, but accuracy varies; always confirm with a dermatologist.
Can it detect skin cancer or melanoma?
No. It cannot detect or rule out melanoma or any skin cancer. It can flag a mole whose appearance warrants a doctor’s look, but only a dermatologist — with dermoscopy and, if needed, a biopsy — can diagnose skin cancer.
What is the ABCDE rule for moles?
A memory aid for melanoma warning signs: Asymmetry, Border irregularity, Color variation, Diameter over ~6 mm, and Evolving (changing over time). Any one of these is a reason to see a dermatologist.
What signs does the AI look for?
The visual features behind the ABCDE rule — asymmetry, border regularity, color evenness, and size — compared against the moles and lesions it has learned.
When should I worry about a mole?
See a doctor for any mole that is new, changing, itching, bleeding, or that looks different from your others — the “ugly duckling.” When in doubt, get it checked.
Is it accurate?
It’s a screening estimate, not a diagnosis. It can miss or misjudge a mole — especially early melanoma, which can look unremarkable in a single photo — so a reassuring result is never a reason to skip a check.
How fast is the result?
About 30 seconds.
How much does it cost?
SkinAI Lab is a paid AI analysis; pricing is shown before you scan.
Can it track a mole over time?
Yes — re-photograph the same mole from the same distance and light. A mole that is changing is the single most important melanoma warning sign, and change is the one thing the AI can’t see in a single image.
Does it work on darker skin?
It’s trained across skin tones (Fitzpatrick I–VI). In darker skin, melanoma more often appears on the palms, soles, or under nails — check those areas too, and confirm concerns with a doctor.
What kind of photo works best?
A close, sharp, well-lit photo in natural light, no filters, with the mole centred and filling the frame. Blurry or dark photos lower accuracy.
Can I check my child’s mole?
You can screen a child’s mole for guidance. New moles in children are usually harmless, but see a doctor for any that is changing, bleeding, or looks unusual.
Is my photo private?
Your photos are processed securely to produce your analysis, in line with GDPR, and our models are trained in the EU. We don’t sell your photos. See our Privacy Policy for how your data is processed.
How is this different from googling my symptoms?
Instead of sifting through articles, the AI compares your actual photo against clinical images and returns the most likely matches with a severity signal — a focused starting point, still not a diagnosis.
Is it a replacement for a skin-cancer screening?
No. It cannot detect or rule out skin cancer. Keep your regular dermatologist screenings; use this between visits to decide when a mole needs a closer, sooner look.
What languages does it support?
23, including English, Spanish, German, French, Russian, Arabic, and more.
Is it a medical device?
No. It’s an informational screening tool, not a certified medical device or a diagnostic service. Always confirm concerns with a qualified dermatologist.
Can I also check a rash or a general skin concern?
Yes — for a rash, use our Rash Identifier; for any skin concern, use our AI Dermatologist or Skin Check.
In short
SkinAI Lab’s mole checker analyzes a photo of a mole and returns the most likely visual matches with a severity signal in about 30 seconds, in 23 languages, analyzing visible characteristics such as asymmetry, border, and color. It’s a screening and guidance tool — not a diagnosis — and it cannot detect or rule out skin cancer. Use it to decide how urgently to get a mole checked, then see a dermatologist for any mole that is new, changing, or stands out.
This AI tool provides a preliminary skin screening from a photo. It is not a medical diagnosis or a substitute for a qualified healthcare professional. For any new, changing, or concerning mole, consult a dermatologist. In an emergency, contact your doctor or emergency services. Sources: American Academy of Dermatology · DermNet · NHS.
