Region-by-region analysis
T-zone, cheeks and chin are read separately, each with its own assessment — not one score for the whole face.
SKINLENS · AI SKIN REFERENCE ASSISTANT
One selfie, four skin dimensions
A vision LLM analyzes your T-zone, cheeks and chin region by region, mapping you to one of 16 skin types with a four-dimension spectrum report and care suggestions.
Results are AI-generated, for skincare reference only — not medical advice.
Features
More than a single vague score
From per-region reads to a four-dimension profile, every step comes with evidence and a confidence level.
16-type spectrum report
Four bipolar spectrums — oil, sensitivity, acne, pigmentation — each with a confidence level; low-confidence results are clearly marked as tentative.
Care suggestions
Daily care tips derived from a 16-type skin handbook, always phrased as reference and suggestions — no efficacy claims.
Privacy first
Photos are deleted immediately after analysis and never stored long-term; your history lives only on your device.
How it works
Three steps to your report
- 1
Take a front-facing photo
Natural light, no makeup, full face visible. The Android app offers an in-page live viewfinder.
- 2
AI analysis
Input is quality-checked first: non-face photos, screen re-shots and distant shots are rejected with retake guidance — no misleading reports.
- 3
Read your report
Spectrum report + per-region assessment + care suggestions. Save locally and revisit anytime from the “Me” tab.
Download
Two ways to start
The web version needs no install; the Android app adds a live viewfinder.
Web (H5)
Open in your mobile browser — no install, full functionality.
Try nowAndroid APK · Flutter
In-page live viewfinder capture. Signed with a test certificate — allow “unknown sources” when installing.
DownloadAndroid APK · uniapp
Native build sharing the H5 codebase, with width-capped tablet layout.
Coming soonTech
One backend, two stacks, four targets
Also a cross-platform engineering sample: uniapp and Flutter frontends replicate the same API and visual language, with single sources of truth for both the data contract and design tokens.
uniapp · Vue3 H5 / WeChat MP / App (APK)
Flutter Android APK (live viewfinder)
Cloudflare Workers + Hono · unified API (skin.9shi.cc/api)
D1 · report storage
R2 · transient images (deleted after use)
Qwen VL · multimodal analysis
Single-source data contract
The report structure is defined once in JSON Schema; scripts generate TypeScript and Dart types, and LLM output is validated against the same schema.
Design-token SSOT
One DTCG design-tokens.json generates SCSS variables and Dart constants — zero visual drift between stacks.
Cloudflare edge architecture
Workers + Hono serve the API with D1 for reports and R2 for transient images; H5 and API share one domain, no CORS.
AI engineering
Input quality gating runs inside the same vision call: non-face / re-shot / too-far photos get a 422 with retake guidance and are never persisted.
Privacy by architecture
Images are deleted after use with an R2 lifecycle rule as backstop; history is written only to local device storage.
Per-stack strengths
The Flutter build adds an in-page live viewfinder (camera plugin) with full fallback to the system camera; the uniapp build wins on one-codebase-many-targets.
Compliance & privacy
Boundaries, stated upfront
Disclaimer
Results are AI-generated and for skincare reference only. They do not constitute medical advice — please see a doctor for serious skin conditions.
Privacy promise
Uploaded photos are used only for the current analysis and deleted as soon as it completes; your history is stored only on your device — no personal profile is kept server-side.