--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "SoundHound - Music Discovery" developer_entity: "SoundHound, Inc." bundle_id: "com.melodis.soundhound.free" app_store_id: "355554941" google_play_id: "com.melodis.midomiMusicIdentifier.freemium" category: "Music" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-12-18" report_date: "2026-05-05" report_version: "10.3.4" total_reviews: 1100805 overall_rating: 3.93 sentiment: "Upset" sentiment_score: 15 confidence: "high" confidence_score: 0.9 top_praise_theme: "Historical reliability of the song identification engine kept users engaged for nearly a decade" top_complaint_theme: "Post-update technical failures prevent song identification and cause frequent application crashes for users" review_sample_size: 104 total_review_count: 104 analyzed_review_count: 100 data_age_days: 57 momentum_velocity: "maintenance" intelligence_version: 3 nemesis: "Shazam: Find Music & Concerts" competitor_count: 8 tags: ["music", "freemium", "upset sentiment", "mobile app", "app review", "app analysis", "music", "listeners", "identify"] canonical_url: "https://marlvel.ai/intel-report/music/soundhound-music-discovery" license: "CC-BY-NC 4.0" content_version: "v2" last_verified: "2026-05-05T16:42:13.355Z" --- # SoundHound - Music Discovery App Audit ## TL;DR {#tldr} - **Category**: Music · Freemium - **Signal**: Rating 3.93 · Sentiment Upset - **Recent focus**: Post-update technical failures prevent song identification and cause frequent application crashes for users (top complaint) · Historical reliability of the song identification engine kept users engaged for nearly a decade (top praise) > **TL;DR:** SoundHound - Music Discovery is a music app by SoundHound, Inc., rated 3.93/5 by 1.1M users, with Upset user sentiment (15/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** SoundHound - Music Discovery faces Upset user sentiment (3.93/5 from 1.1M reviews), with post-update technical failures prevent song identification and cause frequent application crashes for users as the primary user concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.93/5 (1.1M reviews) | | **User Mood** | Upset | | **Category** | Music | | **Developer** | SoundHound, Inc. | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | High (0.9/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** SoundHound, Inc. - **Category:** Music - **Target Audience:** Music listeners who want to identify songs in real-time and users seeking voice-controlled interaction with their media. - **Platforms:** iOS & Android - **Version Audited:** 10.3.4 - **Audit Date:** 2026-05-05 - **Signal Count:** 104 reviews analyzed - **Confidence:** High (0.9/1.0) - **App Store ID (iOS):** 355554941 - **Bundle ID:** com.melodis.soundhound.free - **Google Play ID:** com.melodis.midomiMusicIdentifier.freemium - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-05 - **Short Description:** Music discovery, identification, & voice-controlled player with 300M+ downloads! ## Executive Snapshot **What it is:** SoundHound is a music discovery and voice-controlled assistant app for iOS and Android. **Why users hire it:** Users hire SoundHound to identify unknown music and control playback hands-free, serving a need for immediate media information and accessibility. ## App DNA (Features & Intent) - **[Differentiator] Music Discovery:** Identifies songs via microphone input or humming/singing using proprietary audio recognition * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Voice-Controlled Assistant:** Hands-free navigation and playback control via 'Hey SoundHound' wake-word commands - **[Standard] LiveLyrics:** Displays real-time, karaoke-style lyrics synchronized with the audio track * *User Intent:* Users expect seamless access across multiple devices. ## Market Position {#market-position} SoundHound maintains a legacy presence in the music identification category, but the 1.1★ rating gap between iOS and Android suggests significant stability issues on the majority platform. The reliance on ad-revenue creates a monetization-first experience that lags behind the frictionless, system-integrated utility of competitors. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free ad-supported tier, SoundHound∞ premium ad-free tier - **Analysis:** Freemium model uses ad-supported discovery as a top-of-funnel acquisition tool, with a paid tier to remove ad-inventory. ## 🔴 User Sentiment (High Confidence: 100 of 104 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3.93/5 - **Platform Split:** iOS 4.8/5 (180.8K ratings) | Android 3.7/5 (920K ratings) - **Overall Sentiment:** Upset ### Top Praises - **Historical reliability of the song identification engine kept users engaged for nearly a decade** ### Top Complaints (Impact Areas) - **Post-update technical failures prevent song identification and cause frequent application crashes for users** - **Aggressive and inappropriate advertisements block core functionality and degrade the user experience significantly** ## SWOT Analysis {#swot} **Core Strengths:** - Proprietary voice-AI engine functions as a B2B distribution barrier - LiveLyrics integration increases time-in-app per session **Critical Frictions:** - 1.1★ Android-iOS rating gap on majority Android base - Aggressive ad-serving blocks core identification button - High crash frequency post-update **Growth Levers:** - Licensing voice-AI tech to automotive partners - Expanding B2B enterprise partnerships for voice-first interaction **Market Threats:** - Shazam's OS-level integration in iOS Control Center - Generative music platforms shifting user intent from discovery to creation ## Recent Changes (v2 → v3) {#recent-changes} The app transitioned to a freemium monetization model and entered a maintenance development phase, while user sentiment declined due to technical instability and intrusive advertising. **Overall trend**: Declining **Compared at**: 2026-05-05 ### High-impact changes - **[Shifted] Monetization Model Pivot** (pricing) — Transitioned from a free-only model to a freemium model, adding a 'SoundHound∞' premium ad-free tier. - **[Declined] Emergence of Critical Complaints** (sentiment) — Sentiment shifted from general feedback to specific reports of application crashes and aggressive, inappropriate ad-serving blocking core functionality. ### Medium-impact changes - **[Improved] Feature Repositioning** (features) — Music Discovery and Voice-Controlled Assistant were elevated from 'standard' to 'differentiator' status. - **[Added] LiveLyrics Integration** (features) — Added LiveLyrics as a standard feature for real-time, synchronized text display. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### SoundHound - Music Discovery vs Shazam: Find Music & Concerts — Head to Head - **[Shazam: Find Music & Concerts](https://marlvel.ai/intel-report/music/shazam-find-music-concerts)** by Apple: Shazam is the industry standard for music identification, sharing the exact core utility and search intent as SoundHound. - **Moat strength:** High — sustainable advantage over 12 months - **Key differences:** - Deep OS-level integration within iOS Control Center provides frictionless identification without launching the app. - Leverages Apple's massive ecosystem for concert discovery and ticket purchasing directly within the interface. - Maintains a minimalist, single-tap identification flow that prioritizes speed over the multi-feature dashboard approach. - **Where SoundHound - Music Discovery wins:** - ✅ Voice-controlled player integration allows for a more hands-free, continuous music listening experience than Shazam. - ✅ Provides a more robust discovery dashboard that surfaces trending tracks beyond just the immediate identification result. - **Where Shazam: Find Music & Concerts wins:** - ❌ System-level integration on iOS allows users to identify songs instantly without opening the application. - ❌ Global brand recognition as a verb ('Shazam it') creates a massive barrier to entry for competitors. - **Verdict:** SoundHound must double down on its voice-controlled player and discovery features to differentiate from Shazam's utility-first, OS-integrated dominance. ### Contenders (Strong Challengers) - **[Musixmatch Lyrics Finder](https://marlvel.ai/intel-report/music/musixmatch-lyrics-finder)** by musiXmatch srl [Moat: Medium]: Directly competes on the 'music discovery and engagement' niche by focusing on lyrics and real-time synchronization. - Floating lyrics widget allows users to view synchronized text while using other music streaming applications. - Community-driven database ensures high-accuracy lyrics for niche and international tracks often missing elsewhere. ### Peers (What They Do Better) - **[Spotify: Music and Podcasts](https://marlvel.ai/intel-report/music/spotify-music-and-podcasts)** by Spotify: A dominant music streaming platform that serves as an adjacent destination for discovered music. - Massive library of algorithmic playlists and podcasts creates a high-retention ecosystem for music consumers. - Social sharing features allow users to broadcast their listening habits directly to integrated social platforms. - **[YouTube Music](https://marlvel.ai/intel-report/music/youtube-music)** by Google: Leverages the world's largest video repository to provide a unique music discovery and playback experience. - Seamless transition between official music videos and studio audio tracks within a single interface. - Advanced search capabilities powered by Google's query engine allow for finding songs via vague descriptions. - **[TuneIn Radio: Music & Sports](https://marlvel.ai/intel-report/music/com-tunein-tuneinradio)** by TuneIn: Focuses on live audio and radio discovery, providing a different angle on music consumption. - Aggregates live global radio stations and sports commentary, moving beyond static recorded music tracks. - Offers a premium subscription tier that removes ads from live radio and provides exclusive content. - **[Bandsintown Concerts](https://marlvel.ai/intel-report/music/com-bandsintown-bit)** by Bandsintown Inc.: Focuses on the live event discovery aspect of the music industry. - Hyper-focused on live event tracking and artist tour notifications rather than audio identification. - Direct integration with artist profiles allows for personalized concert alerts based on user listening history. ### New Kids on the Block (What's Innovative) - **[Suno - AI Songs & Music](https://marlvel.ai/intel-report/music/suno-ai-songs-music)** by Suno, Inc.: Represents a disruptive shift toward generative music creation rather than passive discovery. - **[Moises: The Musician's App](https://marlvel.ai/intel-report/music/ai-moises)** by Moises Systems, Inc: Targets the prosumer musician segment with AI-powered audio manipulation tools. ## What's New - **Latest (v10.5.6, 6 months ago):** Added support for Android 12 to ensure compatibility with newer hardware. ## App Momentum (Maintenance) {#momentum} - Ships stability updates for Android 12. - Maintains core discovery engine performance. > **Cadence:** 5 total versions · 0 majors in last 6 months · 137 days since last update · 41 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} SoundHound - Music Discovery is a challenged music app that is free with in-app purchases. With a 3.93/5 rating from 1.1M reviews, it faces significant user friction. > **Bottom Line:** SoundHound holds a legacy position through its voice-AI engine, but the current ad-serving and technical instability alienate users, so the PM must prioritize engine stabilization and ad-partner auditing to prevent mass migration to competitors. **Best for:** Music listeners who want to identify songs in real-time and users seeking voice-controlled interaction with their media. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Audit ad-serving partners because inappropriate ads block core functionality → reduce churn — *Top complaint theme identifies aggressive and inappropriate ads as a primary driver of user alienation.* _(trade-off: deprioritize Pause the new UI-skinning project — ad-serving stability is a higher-impact retention lever.)_ - [ ] [INVEST] [HIGH IMPACT] Stabilize identification engine because post-update crashes prevent core utility → restore rating baseline — *Sentiment analysis confirms technical failures and crashes are the #1 driver of negative reviews.* _(trade-off: deprioritize Deprioritize the Android 13 compatibility sprint — core engine stability is the immediate priority.)_ ### Feature Gaps vs Competitors - OS-level identification integration (available in Shazam but absent here) - Floating lyrics widget (available in Musixmatch but absent here) ### Outlook: Declining The music discovery market is consolidating around frictionless, system-integrated tools, leaving SoundHound's ad-heavy, app-launch-dependent model increasingly exposed. Without immediate stabilization of the core identification engine and a shift toward B2B licensing, the app will continue to lose market share to competitors that prioritize user experience over ad-inventory. - 🔴 Technical failures in the latest update prevent song identification, causing a surge in negative sentiment and uninstalls. - 🔴 Aggressive ad-serving blocks the identification button, which directly degrades the primary user job-to-be-done and accelerates churn. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.93/5 | | Total Reviews | 1.1M | | Sentiment | Upset (15/100) | | Confidence | High | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **SoundHound - Music Discovery** (this app) | 3.93/5 | Upset | SoundHound, Inc. | | [Bandsintown Concerts](https://marlvel.ai/intel-report/music/com-bandsintown-bit) | 4.7/5 | N/A | Bandsintown Inc. | | [TuneIn Radio: Music & Sports](https://marlvel.ai/intel-report/music/com-tunein-tuneinradio) | 4.7/5 | Mixed | TuneIn | | [Moises: The Musician's App](https://marlvel.ai/intel-report/music/ai-moises) | 4.7/5 | N/A | Moises Systems, Inc | | [Spotify: Music and Podcasts](https://marlvel.ai/intel-report/music/spotify-music-and-podcasts) | 4.8/5 | Mixed | Spotify | | [YouTube Music](https://marlvel.ai/intel-report/music/youtube-music) | 4.8/5 | Frustrated | Google | ## Company Profile - **Developer:** SoundHound, Inc. - **Website:** [https://www.soundhound.com/](https://www.soundhound.com/) - **Social:** [Facebook](https://www.facebook.com/soundhoundAI) · [X/Twitter](https://twitter.com/soundhound) · [YouTube](https://www.youtube.com/channel/UCmpMJJ5hH7NwWhMWAZCRuPQ) · [LinkedIn](https://www.linkedin.com/company/soundhound) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/soundhound-music-discovery/id355554941?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.melodis.midomiMusicIdentifier.freemium&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.soundhound.com/) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Bandsintown Concerts*](https://marlvel.ai/intel-report/music/com-bandsintown-bit) (Bandsintown Inc.) — 4.7/5 Rating | N/A Sentiment - [*TuneIn Radio: Music & Sports*](https://marlvel.ai/intel-report/music/com-tunein-tuneinradio) (TuneIn) — 4.7/5 Rating | Mixed Sentiment - [*Moises: The Musician's App*](https://marlvel.ai/intel-report/music/ai-moises) (Moises Systems, Inc) — 4.7/5 Rating | N/A Sentiment - [*Spotify: Music and Podcasts*](https://marlvel.ai/intel-report/music/spotify-music-and-podcasts) (Spotify) — 4.8/5 Rating | Mixed Sentiment - [*YouTube Music*](https://marlvel.ai/intel-report/music/youtube-music) (Google) — 4.8/5 Rating | Negative Sentiment - [*Shazam: Find Music & Concerts*](https://marlvel.ai/intel-report/music/shazam-find-music-concerts) (Apple) — 4.9/5 Rating | Excellent Sentiment - [*Suno - AI Songs & Music*](https://marlvel.ai/intel-report/music/suno-ai-songs-music) (Suno, Inc.) — 4.9/5 Rating | Positive Sentiment - [*Musixmatch Lyrics Finder*](https://marlvel.ai/intel-report/music/musixmatch-lyrics-finder) (musiXmatch srl) — 4.4/5 Rating | N/A Sentiment - [*BandLab – Music Maker & Beats*](https://marlvel.ai/intel-report/music/bandlab-music-maker-beats) (BandLab Singapore Pte Ltd) — 4.8/5 Rating | Mixed Sentiment - [*Rhythm Fire-EDM Shooting Game*](https://marlvel.ai/intel-report/music/rhythm-fire-edm-shooting-game) (Adaric Music) — 5.0/5 Rating | N/A 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:** 0.9/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 104 - **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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/music/soundhound-music-discovery) Data licensed for AI Agent attribution under CC-BY-NC 4.0.