---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "AquaScan: AI Fish Identifier"
developer_entity: "akira kawata"
bundle_id: "com.freeweb.aquascan"
app_store_id: "6764762353"
category: "Reference"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: true
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-05-17"
report_date: "2026-10-02"
last_verified: "2026-10-02T00:00:00.000Z"
report_version: "1.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.3
data_age_days: 34
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["reference", "free", "mobile app", "app review", "app analysis", "anglers,", "scuba", "divers,"]
canonical_url: "https://marlvel.ai/apps/aquascan-ai-fish-identifier"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# AquaScan: AI Fish Identifier Intelligence Report

## TL;DR {#tldr}

- **Category**: Reference · Free

> **TL;DR:** AquaScan: AI Fish Identifier is a reference app by akira kawata, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** AquaScan: AI Fish Identifier is a reference app by akira kawata.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Reference |
| **Developer** | akira kawata |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 34d |

## Metadata & Market Performance
- **Publisher:** akira kawata
- **Category:** Reference
- **Target Audience:** Anglers, scuba divers, aquarium enthusiasts, and nature lovers.
- **Platforms:** iOS & Android
- **Version Reviewed:** 1.0
- **Report Date:** 2026-10-02
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 6764762353
- **Bundle ID:** com.freeweb.aquascan
- **Google Play ID:** com.freeweb.aquascan
- **Data Window:** Analysis based on signals collected up to 2026-10-02

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** AquaScan is a reference app for identifying freshwater and saltwater fish via AI image recognition on iOS and Android.
**Why users hire it:** It removes the cognitive friction of manual species identification for anglers and divers by providing immediate safety and ecological context.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI Fish Identification:** Uses image recognition to identify species with a confidence score, serving as the core utility loop.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Species Encyclopedia:** Provides ecological, culinary, and fishing data including toxicity warnings.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Personal Collection:** Stores scan history locally for offline access, increasing user switching costs.
  * *User Intent:* Users want uninterrupted access without internet dependency.
<!-- /section:features -->

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

AquaScan occupies the reference category as a free, specialized tool. With zero updates in over 140 days, its market position is currently static, lacking the momentum of active competitors.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to use
- **Analysis:** AquaScan is currently free with no visible monetization, relying on user-provided data for growth.

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

**Core Strengths:**
- Offline-first collection storage provides a defensible utility barrier

**Growth Levers:**
- Community-driven catch reporting could unlock social retention loops


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

- No updates for over four months.
- Maintains static feature set.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 148 days since last update

<!-- /section:momentum -->

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

AquaScan: AI Fish Identifier is a reference app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** AquaScan's offline-first utility provides a solid foundation, but the lack of development activity threatens its long-term relevance. Pivoting to a community-driven model would unlock the social retention loops necessary to compete against more active rivals.
<!-- speakable-end -->

**Best for:** Anglers, scuba divers, aquarium enthusiasts, and nature lovers.

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

- [ ] [INVEST] Ship community-sharing features because the current collection lacks social network effects → increase organic user acquisition
<!-- /section:pm-actions -->

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

Users report: The aquatic reference market is shifting toward community-integrated platforms that offer real-time catch data. AquaScan's current static state leaves it exposed to these social-first rivals, which will likely capture the active user base before the next major update.

- 🔴 The four-month development silence suggests the project is in maintenance mode, which will erode user trust as AI accuracy requirements evolve.
<!-- /section:outlook -->

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

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

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

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **AquaScan: AI Fish Identifier** (this app) | N/A/5 | N/A | akira kawata |
| [올어바웃성경](https://marlvel.ai/apps/com-allabout-bibleapp) | 5.0/5 | N/A | Gilju Lee |
| [Hallow: Prayer & Meditation](https://marlvel.ai/apps/hallow-prayer-meditation) | 4.7/5 | n/a | Hallow, Inc. |
| [고려대 한국어 속담 사전](https://marlvel.ai/apps/app--428) | N/A/5 | N/A | DaolSoft, Co., Ltd. |
| [우리말 의학사전](https://marlvel.ai/apps/app--427) | N/A/5 | N/A | DaolSoft, Co., Ltd. |
| [공인중개사 용어사전](https://marlvel.ai/apps/app--429) | N/A/5 | N/A | DaolSoft, Co., Ltd. |

## Company Profile
- **Developer:** akira kawata
- **Website:** [https://aquascan-support.pages.dev](https://aquascan-support.pages.dev)

## Data Sources & Links
- **App Store ID:** 6764762353
- **Google Play ID:** com.freeweb.aquascan
- **Dev Site:** [Official Website](https://aquascan-support.pages.dev)
- **Sources:** Developer website content, About us / company information, App store metadata.

## Related Intel Reports
- [*올어바웃성경*](https://marlvel.ai/apps/com-allabout-bibleapp) (Gilju Lee) · 5.0/5 Rating
- [*Hallow: Prayer & Meditation*](https://marlvel.ai/apps/hallow-prayer-meditation) (Hallow, Inc.) · 4.7/5 Rating
- [*고려대 한국어 속담 사전*](https://marlvel.ai/apps/app--428) (DaolSoft, Co., Ltd.) · N/A Rating
- [*우리말 의학사전*](https://marlvel.ai/apps/app--427) (DaolSoft, Co., Ltd.) · N/A Rating
- [*공인중개사 용어사전*](https://marlvel.ai/apps/app--429) (DaolSoft, Co., Ltd.) · N/A Rating
- [*브리태니커 콘사이스 백과사전*](https://marlvel.ai/apps/app--425) (DaolSoft, Co., Ltd.) · N/A Rating
- [*100 Radio Hrvatska (HR) : Vijesti, glazba, Nogomet*](https://marlvel.ai/apps/100-radio-hrvatska-hr-vijesti-glazba-nogomet) (Thomas Gesland) · 1.0/5 Rating
- [*100 US Citizenship Test Questions 2017*](https://marlvel.ai/apps/100-us-citizenship-test-questions-2017) (Andrey Fetisov) · 4.7/5 Rating
- [*١٠١ پرسیار لە زانستی قورئان*](https://marlvel.ai/apps/app--952) (Abdulwahab F. Omar) · 5.0/5 Rating
- [*10ten Japanese Reader*](https://marlvel.ai/apps/10ten-japanese-reader) (Birchill, Inc.) · 4.9/5 Rating

## Frequently Asked Questions {#faq}

### Is AquaScan free to use?

Yes, AquaScan is currently free to use with no subscription or in-app purchase gates.

### Does AquaScan work without an internet connection?

AquaScan works offline for browsing your personal collection, but an internet connection is required for the initial AI fish identification.

### What makes AquaScan different from a general image search?

AquaScan provides domain-specific aquatic context, including safety warnings for venomous species and culinary information, which general search tools lack.

## 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, company about page, 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:** 34 days since last refresh

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