CleanLabel is an AI-powered food scanner for iOS that uses camera-based vision to analyze ingredient lists for health-conscious grocery shoppers.
The App DNA
What makes this app unique?
The app removes the friction of manual label reading by providing instant, personalized severity grades for additives, displacing the need for users to research complex ingredient names while in the store.
For Health-conscious individuals and families seeking to identify hidden additives and improve grocery shopping habits through ingredient-level transparency.
What does it look like?
Key features
Uses camera to transcribe and analyze printed ingredient lists directly without barcode database dependency.
Categorizes ingredients into four levels of concern rather than a binary pass/fail system.
In-app coach that answers specific questions about ingredients, recipes, and dietary goals.
How much does it cost?
Subscription-only model anchored at $49.99/year, positioning the app as a professional-grade tool for long-term dietary management.
Velocity
Steady developmentUX improvementsnew contentShow more...
CleanLabel maintains a steady development pace, with two distinct releases identified over the recent window. The latest version represents a significant architectural shift, moving away from binary pass/fail results toward a more nuanced, personalized analysis of ingredients and dietary goals. This update also expands the app's utility by providing localized product alternatives and homemade recipe suggestions. Development is currently focused on enhancing UX and providing deeper, actionable health insights for users.
Who built it?
Pritam Ghosh
2 apps tracked · Health & Fitness
Circadian Rhythm & Sleep: ARCUser Sentiment
What do users think recently?
Review voice lately leans upset.
How are ratings & reviews evolving?
What users say, by theme
- The application fails to function as intended following the latest update, leaving users unable to use core features.
1 of 1 recent reviews analyzed · limited sample
Read the full review analysisCompetition
Competitive landscape for CleanLabel: AI Food Scanner
How's the Health & Fitness market?
CleanLabel occupies a niche in the Health & Fitness category by prioritizing Vision AI over database-reliant scanning. The $49.99/year subscription price point positions the app above casual, ad-supported alternatives, requiring high feature reliability to justify the cost.
Read the market outlookThe rivals identified
Unlock the deeper market read.
Access the full report for freeThe Analyst's Read
Key takeaways for CleanLabel: AI Food Scanner
Where is it heading?
The food-scanning market is consolidating around tools that offer high-speed, reliable ingredient transparency. CleanLabel's current technical instability leaves it exposed to rivals that maintain higher uptime, which will accelerate churn pressure into the next quarter.
- Functional regressions in the latest update (scanning failure) erode the daily habit, which compounds the negative sentiment already visible in recent feedback.
- The shift to a four-tier severity system demonstrates active feature investment, but technical instability threatens to negate this competitive differentiation.
The SWOT
- Vision AI architecture removes database-dependency
- Four-tier grading provides nuanced health insights
- Localized recipe suggestions for international markets
Next best moves
Rebuild scanning logic because the latest update rendered the core feature unusable → restore basic utility
+ 1 more prioritized moveThe counter-intuitive read
The subscription-only model is not a weakness…
Read the full takeSince the last report: CleanLabel has pivoted its product roadmap to prioritize core scanning stability and is actively exploring a free-tier to lower the barrier to entry. This shift responds to functional regressions that have rendered the app unusable for some users.
Bottom line
CleanLabel must restore core scanning stability to prevent immediate churn, as the current functional regression invalidates the subscription value. Stabilizing the user experience is the prerequisite for testing a lower-friction entry point that could unlock broader adoption.
Unlock 2 critical frictions, 1 market threat, 1 more prioritized move and the analyst’s take.
Access the full report for freeSources
- [1] App Store, source
Report last updated