--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "CleanLabel: AI Food Scanner" developer_entity: "Pritam Ghosh" bundle_id: "com.cleanlabel.food" app_store_id: "6760940713" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-24" report_date: "2026-09-01" last_verified: "2026-09-01T00:00:00.000Z" report_version: "1.2.2" total_reviews: 2 overall_rating: 3 sentiment: "Upset" sentiment_score: 10 confidence: "medium" confidence_score: 0.45 top_complaint_theme: "The application fails to function as intended following the latest update, leaving users unable to use core features." review_sample_size: 1 total_review_count: 1 analyzed_review_count: 1 data_age_days: 35 momentum_velocity: "steady" intelligence_version: 3 tags: ["health & fitness", "subscription", "upset sentiment", "mobile app", "app review", "app analysis", "health-conscious", "individuals", "families"] canonical_url: "https://marlvel.ai/apps/cleanlabel-ai-food-scanner" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # CleanLabel: AI Food Scanner Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription - **Signal**: Rating 3 · Sentiment Upset - **Recent focus**: The application fails to function as intended following the latest update, leaving users unable to use core features. (top complaint) > **TL;DR:** CleanLabel: AI Food Scanner is a health & fitness app by Pritam Ghosh, rated 3/5 by 2 users, with Upset user sentiment (10/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** CleanLabel: AI Food Scanner faces Upset user sentiment (3/5 from 2 reviews), with users reporting the application fails to function as intended following the latest update, leaving users unable to use core features. as the primary concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3/5 (2 reviews) | | **User Mood** | Upset | | **Category** | Health & Fitness | | **Developer** | Pritam Ghosh | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Medium (0.45/1.0) | | **Data Age** | 35d | ## Metadata & Market Performance - **Publisher:** Pritam Ghosh - **Category:** Health & Fitness - **Target Audience:** Health-conscious individuals and families seeking to identify hidden additives and improve grocery shopping habits through ingredient-level transparency. - **Platforms:** iOS - **Version Reviewed:** 1.2.2 - **Report Date:** 2026-09-01 - **Signal Count:** 1 review analyzed - **Confidence:** Medium (0.45/1.0) - **App Store ID (iOS):** 6760940713 - **Bundle ID:** com.cleanlabel.food - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-09-01 ## Executive Snapshot **What it is:** CleanLabel is an AI-powered food scanner for iOS that uses camera-based vision to analyze ingredient lists for health-conscious grocery shoppers. **Why users hire it:** 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. ## App DNA (Features & Intent) - **[Differentiator] Vision AI Label Scanner:** Uses camera to transcribe and analyze printed ingredient lists directly without barcode database dependency. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] 4-Tier Severity Grading:** Categorizes ingredients into four levels of concern rather than a binary pass/fail system. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Ask CleanLabel AI:** In-app coach that answers specific questions about ingredients, recipes, and dietary goals. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} 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. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Weekly Pro at $6.99/week, Annual Pro at $49.99/year - **Analysis:** Subscription-only model anchored at $49.99/year, positioning the app as a professional-grade tool for long-term dietary management. ## 🔴 User Sentiment (Medium Confidence: 1 of 1 review analyzed) {#user-sentiment} - **Overall Rating:** 3/5 - **Platform Split:** iOS 3.0/5 (2 ratings) - **Overall Sentiment:** Upset ### Top Complaints (Impact Areas) - **The application fails to function as intended following the latest update, leaving users unable to use core features.** ## SWOT Analysis {#swot} **Core Strengths:** - Vision AI architecture removes database-dependency - Four-tier grading provides nuanced health insights **Growth Levers:** - Localized recipe suggestions for international markets ## Recent Changes (v2 → v3) {#recent-changes} 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. **Overall trend**: Mixed **Compared at**: 2026-09-01 ### High-impact changes - **[Added] Free-tier exploration** (pmActionItems) - **[Improved] Stability prioritization** (pmActionItems) ### Medium-impact changes - **[Shifted] Subscription barrier re-categorized** (swot) ## What's New - **Latest (v1.2.2, 1 weeks ago):** Introduced four-level severity scoring, pantry scanning with ranked swaps, an AI product coach, and homemade recipe suggestions. ## App Momentum (Steady) {#momentum} - Shipped four-tier severity scoring system. - Integrated AI-powered product coach. - Ships updates every 48 days. > **Cadence:** 2 total versions · 1 majors in last 6 months · 7 days since last update · 48 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} CleanLabel: AI Food Scanner is a health & fitness app. It holds a 3/5 rating from 2 reviews. > **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. **Best for:** Health-conscious individuals and families seeking to identify hidden additives and improve grocery shopping habits through ingredient-level transparency. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Rebuild scanning logic because the latest update rendered the core feature unusable → restore basic utility ### Outlook: Declining 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. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3/5 | | Total Reviews | 2 | | Sentiment | Upset (10/100) | | Confidence | Medium | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **CleanLabel: AI Food Scanner** (this app) | 3/5 | Upset | Pritam Ghosh | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | n/a | Grow Labs LLC | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | n/a | Strava, Inc. | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | n/a | Viral App Developement LLC | ## Company Profile - **Developer:** Pritam Ghosh - **Website:** [https://cleanlabelapp.sbs](https://cleanlabelapp.sbs) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/cleanlabel-ai-food-scanner/id6760940713?uo=4) - **Dev Site:** [Official Website](https://cleanlabelapp.sbs) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) · 4.7/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) · 4.7/5 Rating - [*Activity Tracker・FitnessView*](https://marlvel.ai/apps/activity-tracker-fitnessview) (Funn Media, LLC) · 4.0/5 Rating - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) · N/A Rating - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) · 4.6/5 Rating | Excellent Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) · 4.7/5 Rating | Positive Sentiment - [*Holoholo: Daily Memories*](https://marlvel.ai/apps/holoholo-daily-memories) (For Pedestrians LLC.) · 4.4/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.45/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **Data Sources:** user reviews, developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 35 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/cleanlabel-ai-food-scanner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.