---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Food Scanner: AI Meal Tracker"
developer_entity: "Anna Rodriguez"
bundle_id: "com.foodscancheckapp.ios"
app_store_id: "6745247585"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-07-01"
report_date: "2026-08-21"
last_verified: "2026-08-21T00:00:00.000Z"
report_version: "1.0.4"
total_reviews: 29
overall_rating: 4.3
confidence: "low"
confidence_score: 0.2
data_age_days: 81
momentum_velocity: "zombie"
intelligence_version: 3
tags: ["food & drink", "freemium", "mobile app", "app review", "app analysis", "health-conscious", "individuals", "shoppers"]
canonical_url: "https://marlvel.ai/apps/food-scanner-ai-meal-tracker"
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.

---

# Food Scanner: AI Meal Tracker Intelligence Report

## TL;DR {#tldr}

- **Category**: Food & Drink · Freemium
- **Signal**: Rating 4.28

> **TL;DR:** Food Scanner: AI Meal Tracker is a food & drink app by Anna Rodriguez, rated 4.28/5 by 29 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Food Scanner: AI Meal Tracker is a food & drink app by Anna Rodriguez.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.28/5 (29 reviews) |
| **Category** | Food & Drink |
| **Developer** | Anna Rodriguez |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 81d |

## Metadata & Market Performance
- **Publisher:** Anna Rodriguez
- **Category:** Food & Drink
- **Target Audience:** Health-conscious individuals and shoppers looking to decode complex food labels and manage specific dietary goals.
- **Platforms:** iOS
- **Version Reviewed:** 1.0.4
- **Report Date:** 2026-08-21
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6745247585
- **Bundle ID:** com.foodscancheckapp.ios
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-21

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Food Scanner: AI Meal Tracker is a mobile tool that uses camera input to analyze nutritional profiles and ingredient data for health-conscious shoppers.
**Why users hire it:** The product removes the cognitive friction of reading complex food labels by providing instant, filterable health scores based on specific dietary priorities.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI Meal Analyzer:** Uses camera input to identify restaurant or home-cooked dishes and generate nutritional profiles.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] AI Nutritionist Chat:** Real-time conversational interface for ingredient explanations and health alternative suggestions.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Dietary Preference Filters:** Automatically highlights products matching specific nutritional priorities like keto, vegan, or gluten-free.
  * *User Intent:* Users want to quickly find relevant content or features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Food Scanner: AI Meal Tracker occupies a niche in the Food & Drink category, but its 4.27 rating across only 29 reviews indicates a very limited user base. The 416-day gap since the last store update signals a lack of competitive pressure on the category leaders.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with basic scanning, Premium subscription for unlimited scans, historical trends, and personalized recommendations
- **Analysis:** The freemium model gates advanced analytical features and unlimited usage behind a recurring subscription.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- AI-based meal analysis reduces manual logging friction

**Growth Levers:**
- Wearable integration could capture active health-tracking segments


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app remains in a dormant state with no functional updates, though the analysis now highlights a critical dependency on internet connectivity and a limited user base of 29 reviews.

**Overall trend**: Stable
**Compared at**: 2026-08-21

### Medium-impact changes
- **[Added] Internet connectivity requirement** (features)
- **[Added] Wearable integration opportunity** (swot)

### Low-impact changes
- **[Added] Quantified user base** (positioning)

<!-- section:whats-new -->
## What's New

- **Latest (v1.0.4, 1 years ago):** General performance optimizations and bug fixes for iOS 18.5.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Dormant for over 13 months.
- No major features shipped recently.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 415 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Food Scanner: AI Meal Tracker is a food & drink app that is free with in-app purchases.
It holds a 4.28/5 rating from 29 reviews.

<!-- speakable-start -->
> **Bottom Line:** The 13-month development silence invalidates the current freemium growth strategy, as the product cannot compete with active rivals. A maintenance-only posture is the only viable path until the core scanning engine is refreshed for current OS standards.
<!-- speakable-end -->

**Best for:** Health-conscious individuals and shoppers looking to decode complex food labels and manage specific dietary goals.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [MAINTAIN] Audit current codebase for OS compatibility because the 13-month update gap risks app store removal → maintain platform presence
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Declining

The health-tracking market is consolidating around apps with high-frequency live-ops and wearable integrations. Food Scanner: AI Meal Tracker remains in a maintenance-only state, which will likely lead to further churn as users migrate to more responsive, updated alternatives.

- 🔴 The 416-day update gap indicates a lack of active investment, which will likely lead to further erosion of the limited user base.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.28/5 |
| Total Reviews | 29 |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Food Scanner: AI Meal Tracker** (this app) | 4.28/5 | N/A | Anna Rodriguez |
| [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu |
| [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. |
| [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow |
| [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. |
| [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet |

## Company Profile
- **Developer:** Anna Rodriguez
- **Website:** App Store

## Data Sources & Links
- **App Store ID:** 6745247585
- **Dev Site:** Official Website
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating
- [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating
- [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating
- [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating
- [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating
- [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating
- [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating
- [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating
- [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating
- [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 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:** 81 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/food-scanner-ai-meal-tracker)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.