---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "AllergyCheck"
developer_entity: "Nicolas Herrera"
bundle_id: "com.allergycheck"
app_store_id: "6765750747"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-05-08"
report_date: "2026-05-19"
last_verified: "2026-05-19T19:57:24.564Z"
report_version: "1.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 21
intelligence_version: 2
tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "diners", "allergies,", "dietary"]
canonical_url: "https://marlvel.ai/intel-report/food-drink/com-allergycheck"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# AllergyCheck App Audit

## TL;DR {#tldr}

- **Category**: Food & Drink · Free

> **TL;DR:** AllergyCheck is a food & drink app by Nicolas Herrera, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** AllergyCheck is a food & drink app by Nicolas Herrera.
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## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Food & Drink |
| **Developer** | Nicolas Herrera |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Nicolas Herrera
- **Category:** Food & Drink
- **Target Audience:** Diners with food allergies, dietary intolerances, or specific lifestyle-based dietary preferences.
- **Platforms:** iOS
- **Version Audited:** 1.0
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6765750747
- **Bundle ID:** com.allergycheck
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
AllergyCheck is a dining utility that overlays allergen and dietary preference signals onto restaurant menus to simplify meal selection. The app enables users to filter menu items based on specific dietary needs, such as gluten-free, vegan, or allergen-specific requirements. It is designed to facilitate clearer communication between diners and restaurant staff regarding ingredient information.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Allergen and Dietary Filtering:** Allows users to scan menus against a personalized profile to identify items that meet specific dietary or allergen requirements.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Structured Menu Presentation:** Provides restaurants with a framework to display menu items, modifiers, and kitchen-sourced notes in a clear, filterable format.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Communication Support:** Acts as a tool to streamline the exchange of ingredient information between the kitchen and the dining room.
  * *User Intent:* Users want real-time communication within the app experience.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Free

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

AllergyCheck is an established food & drink app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** AllergyCheck serves as a digital menu-scanning tool to assist users in identifying dietary-appropriate food options, though it is marketed as a supplement to, not a replacement for, direct communication with restaurant staff.
<!-- speakable-end -->

**Best for:** Diners with food allergies, dietary intolerances, or specific lifestyle-based dietary preferences.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **AllergyCheck** (this app) | N/A/5 | N/A | Nicolas Herrera |
| [Grubhub: Food Delivery](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) | 4.7/5 | Upset | GrubHub.com |
| [Seamless: Local Food Delivery](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) | 4.7/5 | Frustrated | Seamless North America, LLC |
| [Instacart: Groceries & Food](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) | 4.8/5 | Excited | Maplebear Inc |
| [Postmates - Food Delivery](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) | 4.6/5 | Excited | Uber Technologies, Inc. |
| [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. |

## Company Profile
- **Developer:** Nicolas Herrera
- **Website:** [https://allergycheckios.vercel.app](https://allergycheckios.vercel.app)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/allergycheck/id6765750747?uo=2)
- **Dev Site:** [Official Website](https://allergycheckios.vercel.app)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Grubhub: Food Delivery*](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) (GrubHub.com) — 4.7/5 Rating | Terrible Sentiment
- [*Seamless: Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) (Seamless North America, LLC) — 4.7/5 Rating | Negative Sentiment
- [*Instacart: Groceries & Food*](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) (Maplebear Inc) — 4.8/5 Rating | Positive Sentiment
- [*Postmates - Food Delivery*](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) (Uber Technologies, Inc.) — 4.6/5 Rating | Positive Sentiment
- [*Uber Eats: Food & Groceries*](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment
- [*Gopuff - Grocery Delivery*](https://marlvel.ai/intel-report/food-drink/gopuff-grocery-delivery) (Gopuff) — 4.7/5 Rating | Mixed Sentiment
- [*EatStreet Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/eatstreet-local-food-delivery) (EatStreet) — 4.7/5 Rating | N/A Sentiment
- [*ChowNow: Local Food Ordering*](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | N/A Sentiment
- [*Beyond Menu Food Delivery*](https://marlvel.ai/intel-report/food-drink/beyond-menu-food-delivery) (BeyondMenu) — 4.6/5 Rating | Excellent Sentiment
- [*Too Good To Go: End Food Waste*](https://marlvel.ai/intel-report/food-drink/too-good-to-go-end-food-waste) (Too Good To Go) — 4.9/5 Rating | Mixed Sentiment

## 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 and evidence quoting.
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:** 0.05/1.0 (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:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/com-allergycheck)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.