--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Note Recognizer" developer_entity: "Suresh Verma" bundle_id: "com.noterecognizer" app_store_id: "1543593993" category: "Music" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2020-12-08" report_date: "2026-07-06" last_verified: "2026-07-06T00:00:00.000Z" report_version: "2.0" total_reviews: 7 overall_rating: 1.9 sentiment: "Upset" sentiment_score: 10 confidence: "low" confidence_score: 0.6 top_complaint_theme: "High frequency audio output causes immediate discomfort and renders the application completely unusable" review_sample_size: 6 total_review_count: 6 analyzed_review_count: 6 data_age_days: 131 momentum_velocity: "zombie" intelligence_version: 4 nemesis: "Tuner" competitor_count: 8 tags: ["music", "paid", "upset sentiment", "mobile app", "app review", "app analysis", "singers,", "instrumentalists,", "music"] canonical_url: "https://marlvel.ai/apps/note-recognizer" license: "CC-BY-NC 4.0" content_version: "v2" --- # Note Recognizer Intelligence Report ## TL;DR {#tldr} - **Category**: Music · Paid - **Signal**: Rating 1.86 · Sentiment Upset - **Recent focus**: High frequency audio output causes immediate discomfort and renders the application completely unusable (top complaint) > **TL;DR:** Note Recognizer is a music app by Suresh Verma, rated 1.86/5 by 7 users, with Upset user sentiment (10/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Note Recognizer faces Upset user sentiment (1.86/5 from 7 reviews), with high frequency audio output causes immediate discomfort and renders the application completely unusable as the primary user concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 1.86/5 (7 reviews) | | **User Mood** | Upset | | **Category** | Music | | **Developer** | Suresh Verma | | **Pricing** | Paid | | **Platforms** | iOS | | **Confidence** | Low (0.6/1.0) | | **Data Age** | 131d | ## Metadata & Market Performance - **Publisher:** Suresh Verma - **Category:** Music - **Target Audience:** Singers, instrumentalists, and music students seeking pitch training and intonation checking tools. - **Platforms:** iOS - **Version Reviewed:** 2.0 - **Report Date:** 2026-07-06 - **Signal Count:** 6 reviews analyzed - **Confidence:** Low (0.6/1.0) - **App Store ID (iOS):** 1543593993 - **Bundle ID:** com.noterecognizer - **Data Window:** Analysis based on signals collected up to 2026-07-06 ## Executive Snapshot **What it is:** Note Recognizer is a music utility app for iOS that provides real-time pitch detection, live notation, and vocal training exercises. **Why users hire it:** Users hire the app to identify starting notes and check intonation, but the current technical instability prevents the app from fulfilling this core utility. ## App DNA (Features & Intent) - **[Standard] Real-time Pitch Detection:** Analyzes pitch frequency from microphone input to display note names and key signatures. - **[Differentiator] Live Notation:** Transforms played musical ideas into visual scores in real-time. - **[Differentiator] Multi-system Note Naming:** Supports ten naming conventions including Standard, German, and Indian Sargam. ## Market Position {#market-position} Note Recognizer holds a marginal position in the Music category with a 1.86-star rating. Its lack of updates since 2020 prevents it from competing with the high-frequency release cycles of dominant rivals like Tuner. ## Monetization Strategy - **Model:** Paid - **Tiers:** Single purchase at $1.99 - **Price:** iOS: $1.99 - **Analysis:** The low-cost, one-time purchase model targets casual musicians but lacks the recurring revenue needed to fund the technical maintenance required for modern iOS compatibility. ## 🔴 User Sentiment (Low Confidence: 6 of 6 reviews analyzed) {#user-sentiment} - **Overall Rating:** 1.86/5 - **Platform Split:** iOS 1.9/5 (7 ratings) - **Overall Sentiment:** Upset ### Top Complaints (Impact Areas) - **High frequency audio output causes immediate discomfort and renders the application completely unusable** ## SWOT Analysis {#swot} **Core Strengths:** - Multi-system note naming supports international music education segments. - Live notation feature provides high-value utility for musical idea capture. **Growth Levers:** - Expand into wearable integration to serve serious vocal training segments. - Target Indian music education markets via localized Sargam naming conventions. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Note Recognizer vs Tuner - **[Tuner](https://marlvel.ai/apps/com-marcellodepalo-tuner)** by Marcello De Palo: This app dominates the specific niche of real-time pitch detection and note recognition with a massive, highly-engaged user base. - **Key differences:** - Maintains a singular focus on pitch detection, avoiding the feature bloat of multi-purpose music suites. - High-frequency maintenance cycle ensures compatibility with latest iOS versions, unlike this app's 2020-era codebase. - Optimized for low-latency microphone processing, which is critical for serious musicians performing active note recognition. ### Contenders (Strong Challengers) - **[GuitarTuna: Tune & Play Guitar](https://marlvel.ai/apps/com-ovelin-guitartuna)** by Yousician Ltd: A dominant force in the music learning space that aggressively expands into the note recognition niche. - Integrates gamified learning paths that keep users engaged far longer than a simple utility app. - Aggressive release cadence of seven updates in six months keeps the feature set constantly evolving. - **[Fender Tune: Guitar Tuner App](https://marlvel.ai/apps/com-fenderdigital-tuneandtone)** by Fender Digital: Leverages strong brand authority to capture the serious musician demographic this app also serves. - Provides professional-grade tone and tuning accuracy backed by a globally recognized musical instrument brand. - Offers a clean, professional UI that appeals to serious musicians who dislike cluttered, ad-heavy interfaces. - **[Guitar Tuner - Simply Tune](https://marlvel.ai/apps/com-joytunes-simplytuner)** by Simply Ltd: Directly competes for the 'serious music learner' audience with high-quality, precision-focused tuning tools. - Utilizes advanced audio recognition algorithms that provide near-instant feedback for complex musical note sequences. - Seamlessly bridges the gap between basic tuning and advanced musical learning through a unified ecosystem. - **[Vocal Tune Studio](https://marlvel.ai/apps/com-extreamsd-vocaltunestudio)** by Davy Wentzler: Specifically targets the vocal market segment, directly overlapping with this app's core audience. - Provides specialized vocal-centric pitch analysis tools that go beyond standard instrument-based frequency detection. - Offers a long-standing, stable platform that has built significant trust within the vocal training community. ### Peers (What They Do Better) - **[Piano - Keyboard Lesson & Game](https://marlvel.ai/apps/com-mwm-piano-app)** by MWM: Adjacent music learning tool that captures the same audience interested in real-time note feedback. - Combines real-time note recognition with interactive keyboard lessons to create a comprehensive learning experience. - High-frequency updates ensure the app remains compatible with the latest mobile hardware and OS features. - **[Beat Maker Pro: Music drum Pad](https://marlvel.ai/apps/com-mwm-sampler-app)** by MWM: Adjacent music creation tool that utilizes similar microphone-based input technology for rhythm and beat production. - Focuses on rhythmic accuracy and beat production rather than melodic pitch detection, diversifying the user experience. - Leverages a highly polished, visually engaging interface that simplifies complex music production tasks for beginners. ### New Kids on the Block (What's Innovative) - **[Donna AI Song & Music Maker](https://marlvel.ai/apps/com-ai-sound-donna)** by MOBIVERSITE YAZILIM BILISIM REKLAM VE DANISMANLIK HIZMETLERI SANAYI TICARET LIMITED STI: Rapidly emerging AI-driven music tool with high release velocity in the last six months. ## What's New - **Latest (v1.6.5, 9 months ago):** Added fully adjustable duration for the countdown timer and improved Metronome performance. ## App Momentum (Zombie) {#momentum} - No feature updates since 2020. - Critical audio defects drive negative sentiment. > **Cadence:** 2 total versions · 1 majors in last 6 months · 279 days since last update · 1757 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Note Recognizer is a music app that is a paid app. With a 1.86/5 rating from 7 reviews, it faces significant user friction. > **Bottom Line:** Note Recognizer offers unique international note-naming support, but the core audio engine is non-functional, so the PM must prioritize a technical overhaul over new features to prevent total churn. **Best for:** Singers, instrumentalists, and music students seeking pitch training and intonation checking tools. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Rebuild audio engine because high-frequency output causes immediate user churn → restore basic utility. ### Feature Gaps vs Competitors - Low-latency signal processing (available in Tuner but missing here) ### Outlook: Declining The music utility market is consolidating around apps with high-frequency update cycles and low-latency performance. Note Recognizer is currently exposed to total market exit because its core utility is broken, so survival depends on immediate technical remediation to restore basic functionality. - 🔴 Critical audio output failures in the latest release drive immediate user abandonment and refund requests. - 🔴 The lack of updates since 2020 prevents compatibility with modern hardware, accelerating the churn rate against active competitors. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 1.86/5 | | Total Reviews | 7 | | Sentiment | Upset (10/100) | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Note Recognizer** (this app) | 1.86/5 | Upset | Suresh Verma | | [Guitar Tuner - Simply Tune](https://marlvel.ai/apps/com-joytunes-simplytuner) | 4.8/5 | Excited | Simply Ltd | | [Vocal Tune Studio](https://marlvel.ai/apps/com-extreamsd-vocaltunestudio) | 4.6/5 | N/A | Davy Wentzler | | [Donna AI Song & Music Maker](https://marlvel.ai/apps/com-ai-sound-donna) | 4.7/5 | Mixed | MOBIVERSITE YAZILIM BILISIM REKLAM VE DANISMANLIK HIZMETLERI SANAYI TICARET LIMITED STI | | [Beat Maker Pro: Music drum Pad](https://marlvel.ai/apps/com-mwm-sampler-app) | 4.7/5 | n/a | MWM | | [Piano - Keyboard Lesson & Game](https://marlvel.ai/apps/com-mwm-piano-app) | 4.7/5 | Mixed | MWM | ## Company Profile - **Developer:** Suresh Verma - **Website:** [https://klangio.com/guitar2tabs/](https://klangio.com/guitar2tabs/) - **Social:** [Instagram](https://www.instagram.com/klangio) · [YouTube](https://www.youtube.com/watch) · [LinkedIn](https://www.linkedin.com/in/sebastian-murgul) · [Discord](https://discord.gg/3zgAfTsF8H) ## Data Sources & Links - **App Store ID:** 1543593993 - **Dev Site:** [Official Website](https://klangio.com/guitar2tabs/) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Guitar Tuner - Simply Tune*](https://marlvel.ai/apps/com-joytunes-simplytuner) (Simply Ltd) · 4.8/5 Rating | Positive Sentiment - [*Vocal Tune Studio*](https://marlvel.ai/apps/com-extreamsd-vocaltunestudio) (Davy Wentzler) · 4.6/5 Rating - [*Donna AI Song & Music Maker*](https://marlvel.ai/apps/com-ai-sound-donna) (MOBIVERSITE YAZILIM BILISIM REKLAM VE DANISMANLIK HIZMETLERI SANAYI TICARET LIMITED STI) · 4.7/5 Rating - [*Beat Maker Pro: Music drum Pad*](https://marlvel.ai/apps/com-mwm-sampler-app) (MWM) · 4.7/5 Rating - [*Piano - Keyboard Lesson & Game*](https://marlvel.ai/apps/com-mwm-piano-app) (MWM) · 4.7/5 Rating - [*Tuner*](https://marlvel.ai/apps/com-marcellodepalo-tuner) (Marcello De Palo) · 4.6/5 Rating - [*GuitarTuna: Tune & Play Guitar*](https://marlvel.ai/apps/com-ovelin-guitartuna) (Yousician Ltd) · 4.8/5 Rating | Positive Sentiment - [*Fender Tune: Guitar Tuner App*](https://marlvel.ai/apps/com-fenderdigital-tuneandtone) (Fender Digital) · 4.8/5 Rating - [*BandLab – Music Maker & Beats*](https://marlvel.ai/apps/bandlab-music-maker-beats) (BandLab Singapore Pte Ltd) · 4.8/5 Rating | Positive Sentiment - [*Suno - AI Songs, Music, Lyrics*](https://marlvel.ai/apps/suno-ai-songs-music) (Suno, Inc.) · 4.0/5 Rating | Positive 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 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:** 0.6/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 6 - **Data Sources:** user reviews, 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:** 131 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/note-recognizer) Data licensed for AI Agent attribution under CC-BY-NC 4.0.