---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Crack Detector"
developer_entity: "Byungil Park"
bundle_id: "com.rtlink.crackDetector"
app_store_id: "1530337221"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2024-03-29"
report_date: "2026-05-04"
report_version: "3.1.0"
total_reviews: 2
overall_rating: 1
confidence: "low"
confidence_score: 0.05
data_age_days: 56
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["utilities", "paid", "mobile app", "app review", "app analysis", "construction", "professionals,", "property"]
canonical_url: "https://marlvel.ai/intel-report/utilities/crack-detector"
license: "CC-BY-NC 4.0"
content_version: "v2"
last_verified: "2026-05-06T16:15:05.119Z"
---

# Crack Detector App Audit

## TL;DR {#tldr}

- **Category**: Utilities · Paid
- **Signal**: Rating 1

> **TL;DR:** Crack Detector is a utilities app by Byungil Park, rated 1/5 by 2 users, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Crack Detector is a utilities app by Byungil Park.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 1/5 (2 reviews) |
| **Category** | Utilities |
| **Developer** | Byungil Park |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 2d |

## Metadata & Market Performance
- **Publisher:** Byungil Park
- **Category:** Utilities
- **Target Audience:** Construction professionals, property inspectors, and maintenance personnel requiring quick, on-site structural surface assessment.
- **Platforms:** iOS
- **Version Audited:** 3.1.0
- **Audit Date:** 2026-05-04
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1530337221
- **Bundle ID:** com.rtlink.crackDetector
- **Data Window:** Analysis based on signals collected up to 2026-05-04

<!-- section:executive-snapshot -->
## Executive Snapshot
Crack Detector is a utility app that utilizes machine learning to identify cracks on concrete and wall surfaces via smartphone camera input. It provides automated analysis for crack length and thickness, supplemented by a physical marker system for precise millimeter-based measurements.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Automated Crack Detection:** Uses machine learning to automatically identify and locate cracks in images captured by the smartphone camera.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Automated Measurement:** Calculates the length and thickness of detected cracks directly from the captured photo.
- **[Standard] Marker-Based Calibration:** Allows users to print and attach physical markers to surfaces to ensure accurate measurement in millimeters.
- **[Standard] Multi-Marker Extraction:** Supports the use of multiple markers to isolate and measure specific segments of a crack.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $2.99

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

Last updated 765d ago. 5 versions tracked.

> **Cadence:** 5 total versions · 0 majors in last 6 months · 765 days since last update

<!-- /section:momentum -->

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

Crack Detector is an established utilities app that is a paid app.
With a 1/5 rating from 2 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** The app offers a specialized tool for structural surface analysis, relying on printable physical markers to calibrate machine learning-based measurements.
<!-- speakable-end -->

**Best for:** Construction professionals, property inspectors, and maintenance personnel requiring quick, on-site structural surface assessment.

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 1/5 |
| Total Reviews | 2 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Crack Detector** (this app) | 1/5 | N/A | Byungil Park |
| [V2Box - V2ray Client](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) | 4.5/5 | Mixed | techlaim |
| [Potatso](https://marlvel.ai/intel-report/utilities/potatso) | 4.4/5 | Frustrated | Potatso Lab LTD |
| [Quantumult X](https://marlvel.ai/intel-report/utilities/quantumult-x) | 3.9/5 | Frustrated | Cross Utility Ltd |
| [Free VPN by Free VPN .org™](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) | 4.3/5 | Mixed | Free VPN LLC |
| [Calculator# Hide Photos Videos](https://marlvel.ai/intel-report/utilities/calculator-hide-photos-videos) | 4.4/5 | N/A | NewSoftwares.net |

## Company Profile
- **Developer:** Byungil Park
- **Website:** [https://practical.kr](https://practical.kr)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/crack-detector/id1530337221?uo=4)
- **Dev Site:** [Official Website](https://practical.kr)
- **Sources:** App store metadata.

## Related Intel Reports
- [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.5/5 Rating | Mixed Sentiment
- [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | Negative Sentiment
- [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.9/5 Rating | Negative Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.3/5 Rating | Mixed Sentiment
- [*Calculator# Hide Photos Videos*](https://marlvel.ai/intel-report/utilities/calculator-hide-photos-videos) (NewSoftwares.net) — 4.4/5 Rating | N/A Sentiment
- [*15C Pro Scientific Calculator*](https://marlvel.ai/intel-report/utilities/15c-pro-scientific-calculator) (Vicinno Soft LLC) — 4.2/5 Rating | N/A Sentiment
- [*Rizz AI Chat Coach: Grizzly AI*](https://marlvel.ai/intel-report/utilities/grizzly-ai-gen-z-message-coach) (Tetiana Oliinyk) — 4.7/5 Rating | N/A Sentiment
- [*Work Log - Shift Tracker*](https://marlvel.ai/intel-report/utilities/work-log-shift-tracker) (AR Productions Inc) — 4.7/5 Rating | N/A Sentiment
- [*Avoiding Happy Belated*](https://marlvel.ai/intel-report/utilities/avoiding-happy-belated) (Shriansh Shrivastava) — N/A Rating | N/A Sentiment
- [*Translate Snap Scan Translator*](https://marlvel.ai/intel-report/utilities/translate-snap-scan-translator) (Nayer AbuAlSoud) — 4.3/5 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:** 2 days since last refresh

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