--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Laundry Lens" developer_entity: "Alan Pegoli" bundle_id: "br.com.alanpegoli.LaundryLens" app_store_id: "1513767864" google_play_id: "com.ntttam.laundry_lens" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: true market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-11-12" report_date: "2026-06-10" last_verified: "2026-06-10T00:00:00.000Z" report_version: "2.1.1" total_reviews: 275 overall_rating: 4.8 sentiment: "Frustrated" sentiment_score: 30 confidence: "low" confidence_score: 0.5 top_praise_theme: "Integrated cheat sheet provides a reliable reference for laundry symbols when the scanner fails" top_complaint_theme: "Inaccurate image recognition fails to identify or misinterprets standard laundry symbols" review_sample_size: 10 total_review_count: 10 analyzed_review_count: 10 data_age_days: 89 momentum_velocity: "maintenance" intelligence_version: 4 competitor_count: 6 tags: ["utilities", "free", "frustrated sentiment", "mobile app", "app review", "app analysis", "individuals", "seeking", "quick,"] canonical_url: "https://marlvel.ai/apps/laundry-lens" license: "CC-BY-NC 4.0" content_version: "v2" --- # Laundry Lens Intelligence Report ## TL;DR {#tldr} - **Category**: Utilities · Free - **Signal**: Rating 4.79 · Sentiment Frustrated - **Recent focus**: Inaccurate image recognition fails to identify or misinterprets standard laundry symbols (top complaint) · Integrated cheat sheet provides a reliable reference for laundry symbols when the scanner fails (top praise) > **TL;DR:** Laundry Lens is a utilities app by Alan Pegoli, rated 4.79/5 by 275 users, with Frustrated user sentiment (30/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Laundry Lens faces Frustrated user sentiment (4.79/5 from 275 reviews), with inaccurate image recognition fails to identify or misinterprets standard laundry symbols as the primary user concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.79/5 (275 reviews) | | **User Mood** | Frustrated | | **Category** | Utilities | | **Developer** | Alan Pegoli | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.5/1.0) | | **Data Age** | 89d | ## Metadata & Market Performance - **Publisher:** Alan Pegoli - **Category:** Utilities - **Target Audience:** Individuals seeking quick, accurate identification of laundry care symbols to prevent garment damage. - **Platforms:** iOS & Android - **Version Reviewed:** 2.1.1 - **Report Date:** 2026-06-10 - **Signal Count:** 10 reviews analyzed - **Confidence:** Low (0.5/1.0) - **App Store ID (iOS):** 1513767864 - **Bundle ID:** br.com.alanpegoli.LaundryLens - **Google Play ID:** com.ntttam.laundry_lens - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-06-10 ## Executive Snapshot **What it is:** Laundry Lens is a utility app for iOS and Android that uses camera-based recognition to identify clothing care symbols. **Why users hire it:** Users hire this app to quickly decipher complex garment care instructions, serving the job-to-be-done of preventing laundry-related clothing damage. ## App DNA (Features & Intent) - **[Differentiator] Camera-based Label Recognition:** Computer vision identifies laundry care symbols directly from clothing tags via the device camera - **[Standard] Manual Symbol Library:** Searchable database of laundry symbols categorized by washing, ironing, and professional care instructions * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Offline Symbol Lookup:** Access to symbol definitions without requiring an active internet connection * *User Intent:* Users want uninterrupted access without internet dependency. ## Market Position {#market-position} Laundry Lens maintains a 4.78 rating across 275 iOS reviews, yet the lack of Android traction (0 ratings) signals a failure to capture the broader utility market. ## Monetization Strategy - **Model:** Free - **Tiers:** Free with ad support - **Analysis:** The app operates on an ad-supported free model with no visible IAP or subscription gates. ## 🔴 User Sentiment (Low Confidence: 10 of 10 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.79/5 - **Platform Split:** iOS 4.8/5 (275 ratings) - **Overall Sentiment:** Frustrated - **Note:** The 4.79/5 store rating reflects cumulative history, while the Frustrated sentiment reflects recent user reviews analyzed by our AI pipeline. ### Top Praises - **Integrated cheat sheet provides a reliable reference for laundry symbols when the scanner fails** ### Top Complaints (Impact Areas) - **Inaccurate image recognition fails to identify or misinterprets standard laundry symbols** ## SWOT Analysis {#swot} **Core Strengths:** - Offline-first symbol library ensures utility in connectivity-deprived laundry environments - Camera-based loop drives daily active usage **Growth Levers:** - Expansion of the symbol database to cover professional care labels - Integration of maintenance reminders to encourage long-term retention ## Recent Changes (v3 → v4) {#recent-changes} The app's competitive position has declined due to confirmed scanner performance issues, forcing a pivot from feature growth to technical stability. **Overall trend**: Declining **Compared at**: 2026-06-10 ### High-impact changes - **[Declined] Negative Sentiment Emergence** (sentiment) - **[Shifted] PM Action Item Pivot** (positioning) ### Medium-impact changes - **[Added] New Weakness: Recognition Accuracy** (swot) - **[Added] New Opportunity: Database Expansion** (swot) ## What's New - **Latest (v1.0.0, 1 years ago):** General bug fixes. - **Last Major (v2.1.1, 6 months ago):** Introduced Liquid Glass UI design with translucency and depth, plus refined camera reading controls. ## App Momentum (Maintenance) {#momentum} - Shipped Liquid Glass design update. - Refined camera reading controls. > **Cadence:** 2 total versions · 1 majors in last 6 months · 182 days since last update · 395 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Laundry Lens is a utilities app that is completely free. With a 4.79/5 rating from 275 reviews, it draws more critical themes in recent reviews than its store average suggests. > **Bottom Line:** Laundry Lens provides a useful offline reference, but the core camera-recognition feature is unreliable, so the PM should prioritize model accuracy to prevent users from abandoning the app for manual search engines. **Best for:** Individuals seeking quick, accurate identification of laundry care symbols to prevent garment damage. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Rebuild image recognition model because scanner inaccuracy is the #1 complaint → increase daily active usage ### Feature Gaps vs Competitors - NFC machine activation (available in LaundryCat but absent here) ### Outlook: Stable The utility market for laundry management is shifting toward integrated hardware-software solutions like NFC activation, which Laundry Lens currently lacks. Without improving the core recognition accuracy, the app risks becoming a secondary reference tool rather than a primary laundry assistant. - 🔴 Inaccurate image recognition in the latest version forces users to external search engines, which erodes the app's primary utility value. - 🟢 The manual symbol library serves as a functional fallback, maintaining relevance for users despite the current AI performance issues. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.79/5 | | Total Reviews | 275 | | Sentiment | Frustrated (30/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Laundry Lens** (this app) | 4.79/5 | Frustrated | Alan Pegoli | | [Photo Scanner Pro: Scan Albums](https://marlvel.ai/apps/photo-scanner-pro-scan-albums) | 4.8/5 | Mixed | Maple Media Apps, LLC | | [MyBill Decoder](https://marlvel.ai/apps/mybill-decoder) | N/A/5 | N/A | CHEAH Wen Feng | | [AquaChek Connect](https://marlvel.ai/apps/aquachek-connect) | 3.4/5 | n/a | Hach Company | | [Hidden Camera Finder: Anti Spy](https://marlvel.ai/apps/hidden-camera-finder-anti-spy) | N/A/5 | N/A | TRUE APPS TECHNOLOGIES | | [LaundryCat](https://marlvel.ai/apps/laundrycat) | 4.8/5 | n/a | Mitech Integrated Systems | ## Company Profile - **Developer:** Alan Pegoli - **Website:** [https://laundrylensapp.wixsite.com/home](https://laundrylensapp.wixsite.com/home) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/laundry-lens/id1513767864?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.ntttam.laundry_lens&hl=en&gl=us) - **Dev Site:** [Official Website](https://laundrylensapp.wixsite.com/home) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*Photo Scanner Pro: Scan Albums*](https://marlvel.ai/apps/photo-scanner-pro-scan-albums) (Maple Media Apps, LLC) · 4.8/5 Rating - [*MyBill Decoder*](https://marlvel.ai/apps/mybill-decoder) (CHEAH Wen Feng) · N/A Rating - [*AquaChek Connect*](https://marlvel.ai/apps/aquachek-connect) (Hach Company) · 3.4/5 Rating - [*Hidden Camera Finder: Anti Spy*](https://marlvel.ai/apps/hidden-camera-finder-anti-spy) (TRUE APPS TECHNOLOGIES) · N/A Rating - [*LaundryCat*](https://marlvel.ai/apps/laundrycat) (Mitech Integrated Systems) · 4.8/5 Rating - [*Worth It AI: Price Scanner*](https://marlvel.ai/apps/com-worthitai-app) (Innera Labs LLC) · 4.8/5 Rating - [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.4/5 Rating - [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.5/5 Rating | Positive Sentiment - [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating | Positive Sentiment - [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 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:** 0.5/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 10 - **Data Sources:** user reviews, 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:** 89 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/laundry-lens) Data licensed for AI Agent attribution under CC-BY-NC 4.0.