--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "NutriScan AI – Food Scanner" developer_entity: "Adrian Miguel" bundle_id: "com.adrian.miguel.NutriScanPreview" app_store_id: "6757499707" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-01-27" report_date: "2026-10-05" last_verified: "2026-10-05T00:00:00.000Z" report_version: "1.0.6" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 26 momentum_velocity: "zombie" intelligence_version: 2 tags: ["health & fitness", "freemium", "mobile app", "app review", "app analysis", "health-conscious", "consumers", "seeking"] canonical_url: "https://marlvel.ai/apps/nutriscan-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. --- # NutriScan AI – Food Scanner Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Freemium > **TL;DR:** NutriScan AI – Food Scanner is a health & fitness app by Adrian Miguel, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** NutriScan AI – Food Scanner is a health & fitness app by Adrian Miguel. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Adrian Miguel | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 26d | ## Metadata & Market Performance - **Publisher:** Adrian Miguel - **Category:** Health & Fitness - **Target Audience:** Health-conscious consumers seeking transparency regarding ingredients and nutritional quality in packaged foods. - **Platforms:** iOS - **Version Reviewed:** 1.0.6 - **Report Date:** 2026-10-05 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6757499707 - **Bundle ID:** com.adrian.miguel.NutriScanPreview - **Data Window:** Analysis based on signals collected up to 2026-10-05 ## Executive Snapshot **What it is:** NutriScan AI is a food-scanning utility for iOS that provides ingredient-level nutritional analysis via barcode lookup. **Why users hire it:** The app removes the cognitive cost of deciphering complex nutrition labels, serving users who prioritize ingredient transparency over marketing claims. ## App DNA (Features & Intent) - **[Standard] Barcode Scanner:** Instant product identification via camera-based barcode lookup, driving daily session frequency and ad-impression inventory. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Differentiator] Nutritional Analysis:** AI-generated breakdown of ingredients and hidden sugars, gating advanced AI questions behind a premium subscription. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Scan History:** Local storage of product data, creating a retention loop by building a personal dietary history. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} NutriScan AI occupies a niche in the Health & Fitness category, relying on a freemium model that gates advanced AI analysis. The eight-month release gap suggests a static market position that risks losing share to more frequently updated category rivals. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with limited daily scans and ads, PRO subscription with increased scan limits and no ads - **Analysis:** The freemium model gates scan volume and ad-free access behind a recurring subscription. ## SWOT Analysis {#swot} **Core Strengths:** - Barcode-based ingredient lookup drives daily session frequency **Growth Levers:** - Expanding regional food databases could capture underserved segments ## What's New - **Latest (v1.0.6, 8 months ago):** Integrated enhanced artificial intelligence capabilities. ## App Momentum (Zombie) {#momentum} - Last major release January 2026. - Eight months without feature updates. > **Cadence:** 1 total versions · 0 majors in last 6 months · 251 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} NutriScan AI – Food Scanner is a health & fitness app that is free with in-app purchases. > **Bottom Line:** NutriScan AI's ingredient-transparency mechanism provides clear value, but the eight-month development silence leaves the app vulnerable to more agile competitors. A feature-update sprint would address the stagnation risk before the user base migrates to more frequently updated alternatives. **Best for:** Health-conscious consumers seeking transparency regarding ingredients and nutritional quality in packaged foods. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a feature-update sprint because the eight-month release gap signals maintenance mode → restore user trust and retention ### Outlook: Declining The health-tracking market is consolidating around high-frequency AI updates, leaving NutriScan AI's static feature set increasingly exposed. Without a return to active development, the app will likely see continued user attrition as more dynamic alternatives capture the health-conscious segment. - 🔴 The eight-month release gap suggests the developer has shifted focus, which will likely accelerate churn as category rivals continue to iterate. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **NutriScan AI – Food Scanner** (this app) | N/A/5 | N/A | Adrian Miguel | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Caspar Health](https://marlvel.ai/apps/caspar-health) | 3.6/5 | Mixed | GOREHA GmbH | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [FAMHLTH: Family Health Tracker](https://marlvel.ai/apps/famhlth-family-health-tracker) | N/A/5 | N/A | Quinton Nixon | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | Mixed | Grow Labs LLC | ## Company Profile - **Developer:** Adrian Miguel - **Website:** [https://adriandario10.github.io](https://adriandario10.github.io) ## Data Sources & Links - **App Store ID:** 6757499707 - **Dev Site:** [Official Website](https://adriandario10.github.io) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Caspar Health*](https://marlvel.ai/apps/caspar-health) (GOREHA GmbH) · 3.6/5 Rating - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*FAMHLTH: Family Health Tracker*](https://marlvel.ai/apps/famhlth-family-health-tracker) (Quinton Nixon) · N/A Rating - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Lunara: Cycle, Symptom Tracker*](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) (Fuzhou Jiku Technology Co., Ltd.) · N/A Rating - [*Medical Kundali Match Health*](https://marlvel.ai/apps/medical-kundali-match-health) (Medical Match Pvt Ltd) · N/A Rating - [*Ovulation Predictor*](https://marlvel.ai/apps/ovulation-predictor) (RAHI PATEL) · 1.0/5 Rating - [*QUITTR - Break Free Now*](https://marlvel.ai/apps/com-vnm-i-give-up) (Quittr, LLC) · 4.7/5 Rating - [*Revu: Custom Skincare Analysis*](https://marlvel.ai/apps/revu-custom-skincare-analysis) (Joshua Roberts) · 5.0/5 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 26 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/nutriscan-ai-food-scanner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.