On-device AI food and cosmetics label decoder that instantly scans any barcode or ingredient list, rates products against your personal health profile, and flags harmful ingredients — combining food and beauty in one scanner app.
| Name | .com | .io | App Store Clear? | Trademark Risk | Score |
|---|---|---|---|---|---|
| ScanWise | ⚠️ Unverified | ⚠️ Unverified | ✅ Likely Clear | Low | 8/10 |
| TrueLabel | ⚠️ Unverified | ⚠️ Unverified | ✅ Clear | Low | 7/10 |
| PureCheck | ❌ Taken | ❌ Taken | ❌ Multiple apps | Medium | 2/10 |
| IngredientAI | ⚠️ Unverified | ⚠️ Unverified | ✅ Clear | Low | 6/10 |
| LabelLens | ⚠️ Unverified | ⚠️ Unverified | ⚠️ Some similar names | Low | 6/10 |
Consumer demand for ingredient transparency is accelerating: 73% of US consumers say they check ingredient labels before buying food, and 64% do the same for cosmetics (Nielsen 2024). Yuka validated the market at massive scale (76M users, est. $1M+/mo revenue) but their database skews heavily European — thousands of US grocery staples return "no data" results. No app combines food and beauty scanning into one personalized scanner. The combined approach eliminates the need for multiple scanner apps and creates a sticky daily habit.
Monetization model, marketing strategy, and the #1 complaint from users for each.
~$1.2M/mo
Free scanning; premium $14.99/yr for offline mode and full analysis. Built in France — massive European database, weak US coverage. Has both food and cosmetics.
Viral TikTok and Instagram food scare content; European media coverage; massive word-of-mouth driven by scan-and-share moments at grocery stores.
US product database is terrible — scanning common American grocery items returns "product not found" constantly; the app feels broken in US stores
~$0 (nonprofit)
Completely free, crowdsourced database. Good US coverage but inconsistent data quality; no AI-powered personalization or cosmetic scanning.
Open source community, food scientist press coverage, Wikipedia-like reputation. No paid marketing.
User-submitted data quality is inconsistent — nutritional values are often wrong or incomplete; no AI to catch errors or personalize results
~$200K/mo
Free grading; $4.99/mo premium for full insights. A–F letter grade system for food products. No cosmetics. Grading algorithm feels dated and arbitrary to users.
Registered dietitian partnerships, parenting blogs, school nutrition program integrations. Strong US base but slow growth.
A–F grading system feels arbitrary and inconsistent — users don't understand why products are graded how they are; no ingredient-level explanation
~$80K/mo
Free scanning; $4.99/mo premium. Cosmetics-only scanner with a 0–10 "Dirty Meter" rating. No food scanning — a separate app is required for food.
Clean beauty blogger community, Instagram #cleanliving content, Goop/Well+Good editorial mentions. Strong organic following.
Cosmetics-only — users have to switch to a different app to scan food; having two scanner apps is annoying and they abandon one
~$150K/mo
Free with $9.99/mo premium for full database access. Covers food and personal care. EWG's credibility is strong but app interface is cluttered and dated.
Environmental health advocacy community, mainstream press (NY Times, WSJ), parent/teacher groups. EWG brand drives downloads.
Interface is overwhelming and cluttered — too many rating systems and scores to interpret; feels like reading a government report, not a consumer app
Yuka has 76M users but is frustratingly weak in the US. EWG covers both categories but the UX is terrible. Think Dirty is cosmetics-only. No app combines food and beauty scanning with a strong US product database, on-device AI personalization against user health profiles (allergies, preferences, conditions), and a modern consumer app design. ScanWise wins by building US-first with deep product data and a clean unified scanner experience.
| Element | Recommended Copy | Char Count |
|---|---|---|
| App Store Title | ScanWise: Food & Beauty Check | 30/30 |
| Subtitle | AI Ingredient Scanner & Ratings | 30/30 |
| Primary Category | Health & Fitness | — |
ScanWise is entering a validated market (Yuka's $1.2M/mo proves consumer willingness to pay) with a clear differentiator: US-first product database + combined food and cosmetics + on-device AI personalization. The challenge is product database bootstrapping — a scanner app is only as good as its data, and competing with Open Food Facts and Yuka's 3M+ products requires either licensing a commercial database (e.g. Nutritionix, Edamam) or heavy community bootstrapping. Score stays at PAUSE until a database partnership or licensing strategy is confirmed. Recommended next step: evaluate Nutritionix API ($500–2K/mo) or Open Food Facts data quality for US products.
| Biggest Risk | Biggest Opportunity |
|---|---|
| Product database quality is the entire product — bootstrapping a US-competitive barcode database from scratch is expensive and time-consuming; licensing costs could be $500–2K/mo minimum | Yuka's US weakness is widely complained about and creates a "Yuka but actually works in America" narrative that's instantly understandable; 76M user base = proven massive demand |
Bundle ID and IAP product IDs must be created in App Store Connect first. Mismatches are the #1 cause of upload failures.
com.scanwise.appRegister in Apple Developer Portal → Certificates, IDs & Profiles → Identifiers
Free: 10 scans/month. Pro: $4.99/mo or $29.99/yr — unlimited scans, full ingredient analysis, personalized health profile matching, offline mode, cosmetics + food combined.
Spends extra time reading labels at Whole Foods, Target, and Sephora. Has at least one food sensitivity or preference (gluten-free, dairy-free, vegan). Currently uses Yuka but frustrated by missing US products. Also scans skincare and makeup for clean ingredients.
| # | Feature | Why It Matters | Session |
|---|---|---|---|
| 1 | Barcode scanner (food + cosmetics) | AVFoundation + Vision barcode detection — single scan mode covers both food and beauty products automatically | S2 |
| 2 | AI ingredient analysis + safety rating | Apple Foundation Models + product database provides instant ingredient-by-ingredient safety breakdown with plain English explanations | S5 |
| 3 | Personal health profile matching | Users set allergies, diet type, conditions — every scan result is personalized to their specific profile, not generic ratings | S6 |
| 4 | Product history + favorites | Scan history lets users recall past products; favorites creates a "trusted products" list for quick shopping decisions | S2 |
| 5 | Camera ingredient OCR (no barcode) | Vision framework reads printed ingredient lists from photos — works for products with damaged barcodes or imported items | S7 |