--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Visual Food, Visual Recognition and Calories Count" developer_entity: "Michele Gruppioni (Gruppio)" bundle_id: "com.morellafolesani.See-Food" app_store_id: "1235046416" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2017-07-28" report_date: "2026-09-28" last_verified: "2026-09-28T00:00:00.000Z" report_version: "1.5" total_reviews: 34 overall_rating: 2.9 confidence: "low" confidence_score: 0 data_age_days: 14 momentum_velocity: "zombie" intelligence_version: 2 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "individuals", "tracking", "nutritional"] canonical_url: "https://marlvel.ai/apps/visual-food-visual-recognition-and-calories-count" license: "CC-BY-NC 4.0" content_version: "v2" --- # Visual Food, Visual Recognition and Calories Count Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 2.94 > **TL;DR:** Visual Food, Visual Recognition and Calories Count is a food & drink app by Michele Gruppioni (Gruppio), rated 2.94/5 by 34 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Visual Food, Visual Recognition and Calories Count is a food & drink app by Michele Gruppioni (Gruppio). ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 2.94/5 (34 reviews) | | **Category** | Food & Drink | | **Developer** | Michele Gruppioni (Gruppio) | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0/1.0) | | **Data Age** | 14d | ## Metadata & Market Performance - **Publisher:** Michele Gruppioni (Gruppio) - **Category:** Food & Drink - **Target Audience:** Individuals tracking nutritional intake who prefer visual identification of food over manual logging. - **Platforms:** iOS - **Version Reviewed:** 1.5 - **Report Date:** 2026-09-28 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0/1.0) - **App Store ID (iOS):** 1235046416 - **Bundle ID:** com.morellafolesani.See-Food - **Data Window:** Analysis based on signals collected up to 2026-09-28 ## Executive Snapshot **What it is:** Visual Food is a camera-based nutritional recognition utility for iOS that identifies food items and displays caloric and macronutrient data. **Why users hire it:** The app removes the cognitive friction of manual food logging by using AI to identify items directly through the device camera. ## App DNA (Features & Intent) - **[Differentiator] Camera-based Food Recognition:** Uses an artificial intelligence algorithm to identify food items via the device camera. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Nutritional Data Retrieval:** Displays specific nutritional information including calories, fat, protein, and carbohydrates for recognized items. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Visual Food occupies a niche as a free, legacy utility in the Food & Drink category. With no updates since 2017 and only 34 total ratings, it lacks the market presence of active nutritional tracking platforms. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is distributed as a free utility without visible subscription or in-app purchase gates. ## SWOT Analysis {#swot} **Core Strengths:** - Camera-based AI recognition provides a low-friction entry point for nutritional tracking **Growth Levers:** - Integrating regional food databases could differentiate the utility from global-focused competitors ## What's New - **Latest (v1.5, 9 years ago):** Addressed general software bugs. ## App Momentum (Zombie) {#momentum} - No updates in over 3,000 days. - Maintenance-mode status since 2017. > **Cadence:** 1 total versions · 0 majors in last 6 months · 3349 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Visual Food, Visual Recognition and Calories Count is a food & drink app that is completely free. It holds a 2.94/5 rating from 34 reviews. > **Bottom Line:** Visual Food remains a static utility that lacks the active development required to compete with modern health-tracking platforms. The lack of updates since 2017 suggests the developer has abandoned the project, leaving the user base without support or database improvements. **Best for:** Individuals tracking nutritional intake who prefer visual identification of food over manual logging. ### PM Action Plan (Next Best Moves) - [ ] [SUNSET] Sunset the application because it has been in maintenance mode for over nine years → remove support overhead ### Outlook: Declining The nutritional tracking market is consolidating around platforms with active AI development and expansive, verified food databases. Visual Food is exposed due to its lack of updates, which will lead to further user churn as the underlying recognition algorithms and nutritional data become increasingly inaccurate. - 🔴 The 3,349-day gap since the last update indicates the app is in permanent maintenance mode, which prevents it from competing with modern nutritional databases. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 2.94/5 | | Total Reviews | 34 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 2 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Visual Food, Visual Recognition and Calories Count** (this app) | 2.94/5 | N/A | Michele Gruppioni (Gruppio) | | [소박한 한 그릇](https://marlvel.ai/apps/app--426) | N/A/5 | N/A | DaolSoft, Co., Ltd. | | [알토란 레시피 - 요리 반찬 레시피](https://marlvel.ai/apps/woodisw-com-altrecipe) | N/A/5 | N/A | WoodiSW | | [メニュー](https://marlvel.ai/apps/app--677) | N/A/5 | N/A | Satoshi Sato | | [캐시모어](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) | 4.6/5 | N/A | bridgeworks | | [푸드트래블-푸블페이](https://marlvel.ai/apps/com-membership-foodtravel) | 1.3/5 | N/A | Flexday | ## Company Profile - **Developer:** Michele Gruppioni (Gruppio) ## Data Sources & Links - **App Store ID:** 1235046416 - **Sources:** App store metadata. ## Related Intel Reports - [*소박한 한 그릇*](https://marlvel.ai/apps/app--426) (DaolSoft, Co., Ltd.) · N/A Rating - [*알토란 레시피 - 요리 반찬 레시피*](https://marlvel.ai/apps/woodisw-com-altrecipe) (WoodiSW) · N/A Rating - [*メニュー*](https://marlvel.ai/apps/app--677) (Satoshi Sato) · N/A Rating - [*캐시모어*](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) (bridgeworks) · 4.6/5 Rating - [*푸드트래블-푸블페이*](https://marlvel.ai/apps/com-membership-foodtravel) (Flexday) · 1.3/5 Rating - [*マイ・レシピ*](https://marlvel.ai/apps/app--689) (Satoshi Sato) · N/A Rating - [*ジョイフルアプリ*](https://marlvel.ai/apps/jp-co-unerry-bbcouponappjoyfull) (UNERRY,INC.) · 3.5/5 Rating - [*フレスタネットスーパーアプリ*](https://marlvel.ai/apps/jp-stailer-fresta) (10X, Inc.) · 4.3/5 Rating - [*100 Lebanese Recipes*](https://marlvel.ai/apps/com-lebguide-100lebaneserecipes) (LebGuide.com) · 4.7/5 Rating - [*100 лучших рецептов Mom Story*](https://marlvel.ai/apps/com-momstory) (Viktoriia Urmach) · 4.9/5 Rating ## Frequently Asked Questions {#faq} ### Is Visual Food still receiving updates? No, Visual Food has not been updated since July 2017, indicating the app is no longer actively maintained by the developer. ### Does Visual Food require a subscription? No, Visual Food is currently distributed as a free utility without any subscription or in-app purchase gates. ### What are some alternatives to Visual Food for calorie tracking? Users should consider modern health-tracking apps that receive regular updates and maintain large, verified nutritional databases, as Visual Food has been inactive for several years. ## 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:** 0/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 14 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/visual-food-visual-recognition-and-calories-count) Data licensed for AI Agent attribution under CC-BY-NC 4.0.