AI Dermatologist Online —
Free Skin Check from a Photo
Upload a photo of a mole, rash, spot or wound and get an instant AI dermatologist screening in about 30 seconds. 80+ skin conditions covered, reviewed against dermatologist-labelled images. Not a diagnosis.
Free · No signup to start · Result in ~30s
Quick answer
An AI dermatologist is an online tool that analyses a photo of your skin and returns a preliminary screening within seconds. ScanSkinAI's AI dermatologist covers 80+ skin conditions, is reviewed against dermatologist-labelled images across all skin tones, and tells you whether you can self-care or should see a doctor. It is a screening and triage tool — not a medical diagnosis.
Key takeaways
- An AI dermatologist screens skin photos in ~30 seconds and recommends a next step — it is not a medical diagnosis.
- ScanSkinAI covers 80+ conditions across Fitzpatrick I–VI skin tones — a screening aid reviewed against dermatologist-labelled images, not clinical accuracy or a diagnosis.
- Best use cases: triage, monitoring moles or chronic conditions, and deciding whether you need to see a doctor.
- Always escalate to an in-person dermatologist for diagnosis, biopsy, prescription or any urgent symptom.
What is an AI dermatologist?
An AI dermatologist is a digital health tool that uses computer vision and machine learning to analyse photographs of skin concerns — moles, rashes, acne, pigmentation, wounds, skin tags and more — and return an instant preliminary assessment. Instead of waiting weeks for a clinic appointment, you upload one clear photo from your phone, and the system compares your image against thousands of clinically labelled cases to identify the most likely visual patterns and suggest a sensible next step.
ScanSkinAI's AI dermatologist is built on a deep-learning model trained across Fitzpatrick skin types I to VI, which means it screens fairly across pale, olive, brown and deeply pigmented skin — historically a weak point for many dermatology AI systems. Each result is paired with a structured triage recommendation: continue self-care at home, visit a pharmacy, book a GP appointment, or escalate urgently to a specialist. The clinical content layered on top is reviewed by board-certified clinicians, and the underlying software is registered as a UKCA Class I medical device.
Importantly, an AI dermatologist is not a diagnostic device. It does not replace a face-to-face consultation, dermoscopy, biopsy, or the judgement of a qualified clinician. Its real job is to remove the guesswork from "should I worry about this?" — so people who genuinely need care get there faster, and people who don't can stop scrolling Google Images at 2am.
For a deeper, plain-English explainer covering the published evidence, training-data caveats and the line between screening and diagnosis, read our companion guide: AI Dermatologist Explained — How It Works & Limits.
If you already know what you need, jump straight to the specialist tools: free AI mole checker, skin cancer check online, or scan any skin illness from a photo.
How an AI dermatologist actually works under the hood
Modern AI dermatology tools are built on convolutional neural networks (CNNs) and vision transformers — model families that learn to recognise patterns in images the same way a human clinician learns to recognise patterns in a clinic. The model is trained on hundreds of thousands of labelled dermatology images: every benign mole, melanoma, eczema flare, ringworm patch and basal cell carcinoma in the training set teaches the network what to look for.
When you upload a photo, the AI dermatologist performs four steps in sequence:
- Image quality check — focus, lighting and resolution are validated. Blurry or dim images are rejected before analysis, because bad inputs produce bad outputs.
- Lesion localisation — a YOLO-style object detector finds the area of interest inside the photo so the model focuses on the spot rather than the background.
- Multi-class classification — the cropped region is scored against 80+ condition categories, returning a ranked list of possible matches with confidence scores.
- Triage mapping — the top-ranked conditions are mapped to a clinical action: self-care, pharmacy, GP, or specialist referral, based on the urgency of the most likely diagnoses.
The whole pipeline runs in roughly 30 seconds on standard mobile hardware, and the output is deliberately conservative: when the AI is unsure, it errs toward "see a clinician" rather than reassurance. That is the right safety posture for a screening tool.
How the AI dermatologist works
Three steps, about 30 seconds, no download required.
1. Upload a photo
Take a clear, well-lit photo of the skin area you're concerned about — a mole, rash, spot, wound or pigmented patch.
2. AI analyses your image
Our medically reviewed AI compares your photo against 80+ condition patterns, checking colour, asymmetry, border, texture and distribution.
3. Get an instant result
Receive a preliminary screening, a clear next step — self-care, pharmacy, GP or specialist — and the option to escalate to a human dermatologist.
Why use an AI dermatologist?
30-second screening
Skip waiting rooms and three-week derm queues. Get triage guidance now.
Validated across skin tones
Screening aid reviewed against dermatologist-labelled images across Fitzpatrick I–VI — an agreement metric, not clinical accuracy or a diagnosis.
Private & secure
GDPR / UK-GDPR aligned. Images encrypted, never sold or shared with employers or insurers.
Any device
Web, iPhone or Android — no download needed to start a scan.
Medically reviewed
Clinical content reviewed by Dr. Urhekar, MD and an editorial dermatology team.
Optional human review
Escalate any scan to a board-certified dermatologist for a second opinion.
AI dermatologist vs in-person dermatologist
They complement each other. Use AI for fast screening and monitoring, then see a clinician for diagnosis and treatment.
| Dimension | AI dermatologist | In-person dermatologist |
|---|---|---|
| Speed | ~30 seconds | Days to weeks for an appointment |
| Cost | Free | $50–$300+ per visit |
| Access | 24/7 from your phone | Limited by location and clinic hours |
| Best for | Screening, monitoring, triage | Diagnosis, biopsy, prescription, treatment |
| Coverage | 80+ conditions, Fitzpatrick I–VI | Full clinical examination |
| Limitations | Not a diagnosis — image quality matters | Wait times and cost |
What the AI dermatologist can screen
80+ skin conditions across moles, inflammatory disease, infections, pigmentation, wounds and more.
Full library: Skin Diseases A–Z.
How accurate is the ScanSkinAI AI dermatologist?
The ScanSkinAI AI dermatologist is a screening aid reviewed against dermatologist-labelled images — an agreement metric, not clinical accuracy or a diagnosis. It is designed to help you decide whether self-care, pharmacy, GP or specialist review is the appropriate next step, not to confirm what something is.
Performance varies by condition, image quality and skin tone. Well-documented conditions like eczema, psoriasis, common benign moles and contact dermatitis tend to be identified more reliably, because the model has seen the most examples of them during training. Rare conditions, atypical presentations and poorly lit photos are more challenging, which is exactly why the system asks for retakes when image quality is too low to call.
The model is continuously revalidated against new clinical data, and the algorithm and clinical content are reviewed under an ISO 13485 quality management system. To understand what this really means for your specific concern, read our deep dive on AI skin scanning and the ScanSkinAI Evidence Base.
Who is the AI dermatologist for?
An AI dermatologist is most useful when something on your skin has changed and you cannot tell whether it warrants a doctor visit. The five groups below get the highest practical value from a screening tool like ScanSkinAI:
Worried-but-busy adults
You spotted a new mole or rash, work full-time, and your GP has a three-week wait. Use the AI dermatologist to decide whether you can wait or should call your clinic today.
Parents of young children
Children get rashes constantly. Most are harmless; a few need urgent care. A 30-second AI check helps you distinguish heat rash and viral exanthem from anything serious.
People with chronic conditions
Eczema, psoriasis, rosacea and acne flare unpredictably. Use the AI dermatologist together with our chronic tracker to log flare severity and triggers over time.
Outdoor workers and frequent travellers
High lifetime UV exposure raises skin-cancer risk. Use the AI mole checker monthly and the AI dermatologist any time a spot looks different from last time.
Carers of older relatives
Older skin shows more growths, sores and slow-healing wounds. A quick AI screening makes it easier to spot a non-healing lesion early — when treatment is simplest.
People in care deserts
If a dermatologist is hours away or unaffordable, AI screening becomes the first realistic line of triage. It will not replace a clinician, but it can flag the moments you really need one.
How to take a good photo for the AI dermatologist
Photo quality is the single biggest factor in AI dermatology accuracy. The model can only analyse what it can see. Five practical tips for getting a reliable result on your first try:
- Use natural daylight. Soft, indirect daylight near a window beats overhead lights or yellow indoor bulbs. Avoid direct flash — it flattens colour and texture.
- Fill the frame. Hold the camera 10–15 cm from the skin so the area of concern fills most of the photo. If you have an iPhone, tap the spot to lock focus before shooting.
- Keep it sharp. Brace your wrist against something solid, breathe out, then tap. Blurry photos are the number-one cause of "please retake" prompts.
- Show context. For rashes spread over an area, also upload one wider shot. For moles, one close-up and one mid-distance shot helps the AI judge size and surrounding skin.
- Remove make-up and creams. Foundation, concealer and thick moisturiser hide texture cues the model relies on. Cleanse the area gently first.
Read our full guide on taking a clear skin photo for examples of good and bad shots.
Limitations of an AI dermatologist (read this)
Being honest about what AI dermatology cannot do is more important than the marketing copy about what it can. Five real limitations every user should keep in mind:
- It is not a diagnosis. The output is a probability-ranked screening, not a clinical diagnosis. Only a qualified clinician — usually with dermoscopy or biopsy — can confirm what something is.
- It cannot feel or palpate. Texture, firmness, depth and tenderness all matter in real dermatology. An AI dermatologist only sees the surface.
- Rare conditions are under-represented. If you have an unusual presentation, accuracy drops. The system flags low-confidence cases and routes them to a clinician for that reason.
- It does not know your medical history. A patch that looks routine in isolation may be significant given your immunosuppression, family history of melanoma or recent medication change. Always factor in your own context.
- It is not an emergency service. If you have a rash with fever, a deeply infected wound, or a mole that is bleeding and painful, skip the AI and go directly to a clinician or A&E.
How ScanSkinAI compares to other AI dermatology tools
The AI dermatology space has grown quickly, and not all tools are built the same. When evaluating an AI dermatologist, look at four things: condition coverage, skin-tone representation in training data, regulatory status and what happens after the scan. Many consumer apps focus narrowly on moles and skin cancer; many telederm services are essentially photo-forwarding, not AI screening.
ScanSkinAI is built to sit between the two: a true AI screening layer for 80+ conditions, validated across Fitzpatrick I–VI, registered as a UKCA Class I medical device, with optional escalation to a human dermatologist as a paid add-on rather than a forced step. You can compare us directly with the major alternatives:
- ScanSkinAI vs an in-person dermatologist visit — what each is actually good for.
Is the AI dermatologist private and safe to use?
Skin photos can be sensitive — they sometimes include faces, body areas or birthmarks you would not want shared. ScanSkinAI treats every upload as protected health data. GDPR / UK-GDPR aligned. Images encrypted, never sold or shared with employers or insurers. Photos are encrypted in transit and at rest, stored in access-controlled buckets, and never used for advertising. You can delete your scans and account at any time from your profile.
The platform operates under the ISO 27001 information-security framework. For the full detail, see our Privacy Policy and Terms of Service.
When to skip the AI and see a doctor now
An AI dermatologist is a screening tool, not an emergency service. Go to a clinician or A&E directly if you have any of the below.
- A rash with fever, stiff neck or trouble breathing
- A mole that is bleeding, painful or rapidly changing
- A wound that won't stop bleeding or is deeply infected
- Spreading redness with severe pain (possible cellulitis)
- A non-healing sore lasting more than 4–6 weeks
- Any symptom in a young infant
Related AI dermatology tools & guides
Tools to scan with, and in-depth guides if you want to understand the technology first — including our pillar explainer, AI Dermatologist Explained.
AI Mole Checker
ABCDE screening for moles and melanoma risk.
AI Skin Rash Checker
Identify rashes by photo in 30 seconds.
Skin Cancer Check Online
Free AI screening for suspicious spots.
Selfie Skin Analysis
Facial skin health and concern detection.
Chronic Condition Tracker
Monitor eczema, psoriasis, acne flare-ups.
Human Dermatologist Review
Optional board-certified second opinion.
AI Dermatologist Explained (Guide)
Plain-English deep dive on how AI skin analysis really works.
How Accurate Is AI Skin Scanning?
Published evidence on sensitivity and specificity.
AI Mole Checker vs Dermatologist
When AI helps and when in-person derm wins.
Why one check is rarely enough
A single scan tells you about one spot, on one day. But skin changes are about patterns over time — a new mole appearing, a slow shift in shape, size or colour, or a patch that simply isn't healing. Monitoring the same spots side-by-side, week after week, surfaces the subtle changes a one-off check will always miss — and gives you a clear record to show a clinician if something needs a closer look.
(ScanSkinAI is a screening and monitoring tool, not a diagnosis. Always see a clinician for anything that is changing, bleeding, or worrying you.)
Unlimited scans · Track changes side-by-side · Cancel anytime
Using the AI dermatologist as a melanoma app
If you landed here looking for a melanoma app, the same AI dermatologist doubles as a browser-based melanoma checker — no App Store download, no subscription, and a free first scan. Point the camera at a mole and ScanSkinAI screens it against ABCDE criteria (Asymmetry, Border, Colour, Diameter, Evolution) plus a dermoscopic pattern library covering melanoma, basal cell carcinoma and squamous cell carcinoma. You get a ranked risk read, a suggested next step (self-monitor, GP, dermatologist, urgent), and the option to escalate to a US$19.99 board-certified dermatologist photo review.
For mole-specific workflows — repeat photography of the same spot, side-by-side change comparison, and monthly monitoring — use the dedicated AI mole checker. It's the same underlying AI, tuned for mole tracking rather than general skin screening.
AI dermatologist FAQ
An AI dermatologist is a software tool that uses computer vision to analyse photos of skin, moles, rashes, acne, pigmentation, wounds and other visible concerns. ScanSkinAI's AI dermatologist screens your image against patterns from thousands of clinical references and returns a preliminary risk assessment with a suggested next step. It is not a medical diagnosis and does not replace a board-certified dermatologist.
Yes. The core AI skin check is free — upload a photo, get a result in about 30 seconds, and see whether self-care, a pharmacy visit, a GP appointment or specialist referral is recommended. Optional human dermatologist review is available as a paid add-on in select regions.
ScanSkinAI is a screening aid reviewed against dermatologist-labelled images — an agreement metric, not clinical accuracy or a diagnosis. Performance varies by condition, lighting and image quality — well-documented conditions like eczema, psoriasis and common moles tend to be identified more reliably than rare presentations.
No AI tool, including ScanSkinAI, provides a medical diagnosis of skin cancer. The AI dermatologist screens moles and lesions for high-risk visual patterns (asymmetry, irregular border, colour variation, diameter, evolution) and flags anything that warrants in-person review. Definitive diagnosis requires a clinician, dermoscopy and often a biopsy.
A real dermatologist examines you in person, can use dermoscopy, take biopsies, prescribe medication and write referrals. An AI dermatologist is an instant, low-cost screening layer — it helps you decide whether you need to see a doctor at all, and how urgently. Most users combine both: AI for fast checks and monitoring, in-person derm for confirmation and treatment.
Yes. GDPR / UK-GDPR aligned. Images encrypted, never sold or shared with employers or insurers. You can delete your data at any time from your account.
80+ conditions across moles and skin cancer screening (melanoma, basal cell, squamous cell), inflammatory conditions (eczema, psoriasis, rosacea, contact dermatitis), acne and pigmentation, wounds, skin tags, fungal infections, hives and more. Each result includes possible matches and a recommended next step.
Parents can upload photos of a child's skin concern for screening guidance. The AI is trained across Fitzpatrick I–VI skin types. For any concern in infants, persistent rashes, or rashes with fever, always consult a paediatrician or dermatologist in person.
Yes — several. ScanSkinAI is the browser-based option: it identifies skin conditions from a photo without an App Store download or account. You can install it as a Progressive Web App from /download-app if you prefer an app-like icon on your phone. Native alternatives include Aysa (iOS/Android) and mole-focused apps like SkinVision — see our comparison hubs for full trade-offs.
Google Lens can suggest visually similar images and Google Health surfaces dermatology reference material, but neither is a validated medical screening tool. A purpose-built AI dermatologist like ScanSkinAI ranks candidate conditions against a Fitzpatrick I–VI-validated model and maps the result to a triage action (self-care / pharmacy / GP / specialist).
Take a sharp, well-lit close-up (natural daylight, camera 10–15 cm from the skin, focus locked on the spot), then upload it to a purpose-built AI dermatologist. ScanSkinAI returns a ranked list of possible conditions with a recommended next step in about 30 seconds. Read our step-by-step guide at /blog/how-to-identify-a-skin-condition-from-a-photo.
ScanSkinAI's AI dermatologist is free with unlimited checks. Optional additions: a written dermatologist review from US$19.99 (48 hours) or US$39.99 (8-hour express) at /dermatologist-review. There is no subscription required to run the AI screening itself.
Yes. ScanSkinAI works as a melanoma app in your phone browser — no App Store download required. Point the camera at a mole and the AI screens it against ABCDE criteria (Asymmetry, Border, Colour, Diameter, Evolution) plus a pattern library of melanoma, basal cell and squamous cell carcinoma images in about 30 seconds. It is a screening aid, not a diagnosis — any high-concern result should go to a dermatologist within 1–2 weeks.
The right melanoma app depends on how much friction you'll accept. ScanSkinAI is the only one that runs in a browser with no install and a free first scan, uses ABCDE + dermoscopic pattern AI, and pairs the AI with an optional US$19.99 board-certified dermatologist review. Native alternatives (SkinVision, MoleScope, MelaFind-style tools) require an app-store download and usually a paid subscription. Compare on your criteria: cost, install friction, accuracy transparency, and whether the app routes suspicious moles to a real dermatologist.
No — no melanoma app, including ScanSkinAI, can diagnose skin cancer on its own. A melanoma app is a triage layer: it tells you whether a mole is likely fine, worth photographing again in a month, or should go to a dermatologist now. Definitive detection requires an in-person examination, dermoscopy, and often a biopsy. Use the app to catch changes early and to know when to escalate, not as a replacement for clinical review.
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