Qinn

Qinn - AI skin analysis, skincare, INCI scanner, ingredient checker, dermatology AI, skin scanner

FREE
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Qinn is a free, web-based AI skincare analysis platform that puts clinical-grade skin diagnostics in everyone's hands. Powered by Google Gemini AI, it analyzes 12 dermic biomarkers from facial photos in under 30 seconds — including hydration level, skin texture, pigmentation, pore visibility, wrinkles, redness, dark circles and skin age.
Compatibility

Qinn is compatible with the following platforms and devices:

  • Windows
  • MacOS
  • Linux
  • Android
  • iOS
  • Android App
  • iOS App
  • Web-Based
  • Cross Platforms
  • Oculus Quest
Integrations

Qinn can be integrated with the following third-party platforms and tools:

  • Canva
  • ChatGPT
  • Google Analytics
  • Google PageSpeed Insights
  • Google Search Console
  • Google Tag Manager
  • Gmail
  • Shopify
  • Close
  • SugarCRM

* For the complete list of available integrations visit Qinn website.
Subscription Types

Qinn offers the following subscription types:

  • Free

Billing options include the following:

Membership packages:

There are membership packages at Qinn.
  • API is Not Available.
  • Community Hub is Not Available.

Qinn Review: An In-Depth Overview

AI skin analysis beauty tech cosmetic safety dermatology AI free INCI scanner ingredient checker personalized skincare skin scanner skincare

Qinn is an AI skin analysis tool made for people who want to understand their skin better without guessing. It looks like the platform is built to scan the face, check common skin concerns, and then give users more personalized advice based on what the AI sees. The site presents it as a “clinical-grade” skin analysis tool, with a facial scan that takes about 30 seconds and checks 12 skin biomarkers. It also includes ingredient auditing, which means users can review product ingredients and see whether they fit their skin needs better.


The way it works seems very simple. A user uploads or scans a face photo, and the AI analyzes visible skin conditions through its system. After that, Qinn gives feedback based on the scan, pointing to different skin markers it detects. The site also says it can help with personalized routines, so the tool is not only about diagnosis but also about helping users decide what to use next. On top of that, the ingredient auditing feature adds another layer, because users can look at skincare formulas and better understand whether a product matches their skin profile.


For use cases, Qinn looks useful for a few clear groups. A skincare beginner could use it to get a starting point instead of buying random products. Someone who already has a routine could use it to track visible skin concerns and make better choices over time. It could also be useful for beauty creators, skincare consultants, or even brands that want a faster way to show users more personalized skincare guidance. For example, a person dealing with dull skin or uneven texture could run a scan, review the result, and then compare product ingredients before making a purchase. That makes the process feel more informed and less trial-and-error. This last point is an inference based on the features Qinn highlights on its site.


Overall, Qinn looks like a practical skincare tool for people who want faster and more data-based guidance. It seems most useful for users who want simple skin insights, quick scans, and help choosing better skincare products without making the process too complicated.

Noteworthy

Features & Highlights

  • AI facial skin analysis with 12 biomarker detection
  • INCI ingredient safety auditing based on EU scientific databases (SCCS, ECHA, ANSES)
  • Product shelf scanning and chemical conflict detection
  • Personalized AM/PM skincare routine generation
  • Skin age estimation and skin tone detection
  • Brand-independent product recommendations
  • GDPR compliant — images deleted immediately after analysis
  • No app download required — works in browser
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