--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Bird Song Id USA songs & calls" developer_entity: "Sunbird Images OHG" bundle_id: "com.sunbird.birdsongid.america.ne" app_store_id: "681091523" category: "Reference" primary_platform: "ios" primary_monetization: "Paid" offline_capable: true market_region: "US" platforms: "iOS" app_last_updated: "2020-06-25" report_date: "2026-05-20" last_verified: "2026-05-20T04:33:57.414Z" report_version: "9.0" total_reviews: 1363 overall_rating: 4.21 sentiment: "Mixed" sentiment_score: 35 confidence: "high" confidence_score: 0.7 top_praise_theme: "Audio playback of bird calls provides a helpful reference for identifying local species" top_complaint_theme: "Automatic song recognition fails to identify common birds despite clear audio recordings" top_request_theme: "Improved accuracy for automatic song recognition to match competitor performance" review_sample_size: 49 total_review_count: 49 analyzed_review_count: 49 data_age_days: 42 momentum_velocity: "zombie" intelligence_version: 3 nemesis: "Merlin Bird ID by Cornell Lab" competitor_count: 7 tags: ["reference", "paid", "mixed sentiment", "mobile app", "app review", "app analysis", "nature", "enthusiasts,", "watchers,"] canonical_url: "https://marlvel.ai/intel-report/reference/com-sunbird-birdsongid-america-ne" license: "CC-BY-NC 4.0" content_version: "v2" --- # Bird Song Id USA songs & calls App Audit ## TL;DR {#tldr} - **Category**: Reference · Paid - **Signal**: Rating 4.21 · Sentiment Mixed - **Recent focus**: Automatic song recognition fails to identify common birds despite clear audio recordings (top complaint) · Audio playback of bird calls provides a helpful reference for identifying local species (top praise) · Improved accuracy for automatic song recognition to match competitor performance (top request) > **TL;DR:** Bird Song Id USA songs & calls is a reference app by Sunbird Images OHG, rated 4.21/5 by 1.4K users, with Mixed user sentiment (35/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Bird Song Id USA songs & calls shows Mixed sentiment (4.21/5 from 1.4K reviews) — users praise audio playback of bird calls provides a helpful reference for identifying local species but report issues with automatic song recognition fails to identify common birds despite clear audio recordings. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.21/5 (1.4K reviews) | | **User Mood** | Mixed | | **Category** | Reference | | **Developer** | Sunbird Images OHG | | **Pricing** | Paid | | **Platforms** | iOS | | **Confidence** | High (0.7/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Sunbird Images OHG - **Category:** Reference - **Target Audience:** Nature enthusiasts, bird watchers, and families seeking educational tools for species identification in the field. - **Platforms:** iOS - **Version Audited:** 9.0 - **Audit Date:** 2026-05-20 - **Signal Count:** 49 reviews analyzed - **Confidence:** High (0.7/1.0) - **App Store ID (iOS):** 681091523 - **Bundle ID:** com.sunbird.birdsongid.america.ne - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-20 ## Executive Snapshot **What it is:** Bird Song Id USA is a reference app for identifying bird species via on-device audio recognition and a reference library. **Why users hire it:** Users hire this tool for offline bird identification in remote areas where connectivity is unavailable, replacing heavy physical field guides. ## App DNA (Features & Intent) - **[Differentiator] Automatic Bird Song Recognition:** On-device neural network analysis of audio recordings to identify bird species without internet connectivity - **[Standard] Audio Reference Library:** Database of 241 bird songs and calls available for offline playback * *User Intent:* Users want uninterrupted access without internet dependency. - **[Standard] Bird Song Diary:** Personalized logging tool for users to save and organize their own bird song recordings * *User Intent:* Users value self-expression and personalized experiences. - **[Differentiator] Offline Functionality:** Full access to identification and reference tools without mobile network or internet connection * *User Intent:* Users want uninterrupted access without internet dependency. ## Market Position {#market-position} Bird Song Id USA sits at #87 Paid in the US Reference category. The reliance on a paid model for features that free competitors like Merlin provide with higher accuracy creates a significant barrier to scaling the user base. ## Monetization Strategy - **Model:** Paid - **Tiers:** Single purchase at $4.99 - **Price:** iOS: $4.99 - **Analysis:** Paid model anchored at $4.99, utilizing a 50% discount promotion from a $9.99 base price to drive conversion. ## 🟡 User Sentiment (High Confidence: 49 of 49 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.21/5 - **Platform Split:** iOS 4.2/5 (1.4K ratings) - **Overall Sentiment:** Mixed ### Top Praises - **Audio playback of bird calls provides a helpful reference for identifying local species** - **Visual identification aids assist beginners in connecting names to observed wildlife** ### Top Complaints (Impact Areas) - **Automatic song recognition fails to identify common birds despite clear audio recordings** - **User interface design lacks intuitive navigation and makes field usage difficult** - **Technical instability including crashes and microphone access errors prevents core functionality** ### Top Requests (What Users Want) - **Improved accuracy for automatic song recognition to match competitor performance** ## SWOT Analysis {#swot} **Core Strengths:** - On-device neural network enables offline identification in remote field environments - Proprietary audio recognition technology establishes category authority for paid conversion - Bundled 241-song library provides immediate utility post-purchase **Critical Frictions:** - Recognition engine accuracy lags behind free competitors - UI navigation is poorly suited for field usage - Technical instability and crashes erode user trust **Growth Levers:** - Refining recognition logic to match competitor accuracy - Redesigning UI for one-handed field operation - Expanding library to include more regional species **Market Threats:** - Merlin Bird ID's free, crowdsourced data flywheel - High-velocity release cadence of academic-backed competitors - User churn to free alternatives with better recognition ## Recent Changes (v2 → v3) {#recent-changes} The app has entered a long-term inactive state with no updates since 2020, while the pricing strategy has shifted to a discount-anchored model to maintain relevance against free competitors. **Overall trend**: Declining **Compared at**: 2026-05-20 ### High-impact changes - **[Shifted] Zombie Product Status** (positioning) — The app is now classified as a zombie product with no releases in 71 months (last update June 2020). - **[Shifted] Sentiment Classification** (sentiment) — Overall sentiment shifted from negative to mixed, though the sentiment score declined from 40 to 35. ### Medium-impact changes - **[Shifted] Pricing Strategy** (pricing) — Pricing model shifted from a flat $4.99 purchase to a $9.99 base price with a 50% discount promotion. - **[Added] New Competitive Threats** (swot) — Added threats regarding the high-velocity release cadence of academic-backed competitors and user churn to free alternatives. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Bird Song Id USA songs & calls vs Merlin Bird ID by Cornell Lab — Head to Head - **[Merlin Bird ID by Cornell Lab](https://marlvel.ai/intel-report/reference/edu-cornell-birds-merlin)** by Cornell University: With over 159,000 reviews and a massive, active research-backed database, Merlin is the undisputed market leader in automated bird identification. - **Moat strength:** High — sustainable advantage over 12 months - **Key differences:** - Leverages the massive eBird database to provide location-specific, time-sensitive identification probabilities for users. - Offers a comprehensive, free-to-use audio recognition engine that sets the industry standard for accuracy. - Maintains a high-velocity release cadence with seven updates in the last six months alone. - **Where Bird Song Id USA songs & calls wins:** - ✅ Maintains a focused, premium-only positioning that avoids the potential data-privacy concerns of large-scale academic tracking. - ✅ Provides a simplified, singular utility for users who find the broader Cornell ecosystem overwhelming. - **Where Merlin Bird ID by Cornell Lab wins:** - ❌ Integrates real-time, location-based probability models that significantly outperform static audio reference libraries. - ❌ Benefits from a massive, crowdsourced data flywheel that continuously improves identification accuracy through user contributions. - **Verdict:** The target app must pivot toward a unique, niche-focused utility or superior UX to compete with Merlin's massive, free, and data-rich ecosystem. ### Contenders (Strong Challengers) - **[Picture Bird: Bird identifier](https://marlvel.ai/intel-report/reference/cn-danatech-picturebird)** by Next Vision Limited [Moat: Medium]: A high-volume competitor that successfully monetizes through a broader, image-first identification approach. - Prioritizes visual identification workflows which often appeal to casual users more than audio-only recognition. - Aggressive monetization strategy utilizes a subscription model that provides recurring revenue for ongoing feature development. - **[Audubon Bird Guide](https://marlvel.ai/intel-report/reference/com-greenmountain-birds)** by National Audubon Society [Moat: Medium]: Leverages a highly trusted brand name and deep ornithological content to maintain a strong, loyal user base. - Provides authoritative, expert-curated content that serves as a reliable reference guide for serious birders. - Offers a deep, educational experience that focuses on species conservation and habitat information. - **[BirdNET](https://marlvel.ai/intel-report/education/birdnet)** by Stefan Kahl [Moat: Medium]: A specialized, research-driven tool that focuses exclusively on high-accuracy audio identification for scientific purposes. - Utilizes advanced neural network models specifically trained for complex, real-world acoustic environment analysis. - Maintains a lean, academic-first interface that appeals to power users and citizen scientists. ### Peers (What They Do Better) - **[iBird Pro Guide to Birds](https://marlvel.ai/intel-report/reference/ibird-pro-guide-to-birds)** by Mitch Waite Group: A long-standing reference app that competes on the depth of its static, expert-verified identification data. - Features an extensive, manually curated library of illustrations and data that avoids reliance on AI. - Targets the traditional birding community that prefers static, reliable reference material over automated recognition. - **[Seek by iNaturalist](https://marlvel.ai/intel-report/education/seek-by-inaturalist)** by iNaturalist: An adjacent, gamified identification tool that covers a wide range of nature, not just birds. - Uses gamification and achievement badges to drive high engagement and daily active usage. - Provides a broad, multi-taxa identification engine that captures users interested in general nature exploration. ### New Kids on the Block (What's Innovative) - **[Learn Bird Watching—Larkwire](https://marlvel.ai/intel-report/education/learn-bird-watching-larkwire)** by Larkwire: Shows strong recent activity with five releases in the last six months, focusing on training users to identify birds by ear. ## What's New - **Latest (v9.0, 5 years ago):** Improved automatic recognition and updated for iOS compatibility. ## App Momentum (Zombie) {#momentum} - Ships recognition algorithm improvements. - Updated compatibility for latest iOS. > **Cadence:** 1 total versions · 0 majors in last 6 months · 2154 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Bird Song Id USA songs & calls is an established reference app that is a paid app. With a 4.21/5 rating from 1.4K reviews, it shows polarized user reception. > **Bottom Line:** The app provides a solid offline reference library, but the core recognition feature is failing to compete with free, data-rich alternatives, so the PM must prioritize engine accuracy to prevent total user churn. **Best for:** Nature enthusiasts, bird watchers, and families seeking educational tools for species identification in the field. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Rebuild recognition engine because current accuracy is the top complaint → reduce churn — *Sentiment analysis identifies recognition failure as the primary driver of negative reviews.* _(trade-off: deprioritize Pause new species library expansion — recognition accuracy is a higher retention lever.)_ - [ ] [INVEST] [MEDIUM IMPACT] Audit UI navigation because field-use difficulty is a top complaint → increase session length — *User feedback highlights the menu structure as confusing for outdoor, on-the-go usage.* _(trade-off: deprioritize Deprioritize minor bug fixes in the diary feature — UI flow impacts all users.)_ ### Feature Gaps vs Competitors - Real-time, location-based probability models (available in Merlin Bird ID) - Crowdsourced data flywheel for continuous accuracy improvement (available in Merlin Bird ID) ### Outlook: Mixed The bird identification market is consolidating around free, data-rich tools that leverage crowdsourced inputs. Bird Song Id USA remains exposed because its paid, static-library model cannot compete with the accuracy gains of these data-driven rivals, so the app must pivot to a niche utility or risk becoming irrelevant. - 🔴 Recognition engine failure reports are increasing, which drives users to free competitors and accelerates churn. - ⚪ Recent updates focus on stability and compatibility, but lack the feature velocity required to challenge market leaders. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.21/5 | | Total Reviews | 1.4K | | Sentiment | Mixed (35/100) | | Confidence | High | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Declining | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Bird Song Id USA songs & calls** (this app) | 4.21/5 | Mixed | Sunbird Images OHG | | [Merlin Bird ID by Cornell Lab](https://marlvel.ai/intel-report/reference/edu-cornell-birds-merlin) | 4.9/5 | Excited | Cornell University | | [Audubon Bird Guide](https://marlvel.ai/intel-report/reference/com-greenmountain-birds) | 4.3/5 | N/A | National Audubon Society | | [Picture Bird: Bird identifier](https://marlvel.ai/intel-report/reference/cn-danatech-picturebird) | 4.7/5 | N/A | Next Vision Limited | | [Seek by iNaturalist](https://marlvel.ai/intel-report/education/seek-by-inaturalist) | 4.8/5 | Frustrated | iNaturalist | | [iBird Pro Guide to Birds](https://marlvel.ai/intel-report/reference/ibird-pro-guide-to-birds) | 4.3/5 | N/A | Mitch Waite Group | ## Company Profile - **Developer:** Sunbird Images OHG - **Website:** [https://sunbird.tv/](https://sunbird.tv/) - **Social:** [Instagram](https://www.instagram.com/sunbird_images) · [Facebook](https://www.facebook.com/SunbirdImages) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/bird-song-id-usa-songs-calls/id681091523?uo=2) - **Dev Site:** [Official Website](https://sunbird.tv/) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Merlin Bird ID by Cornell Lab*](https://marlvel.ai/intel-report/reference/edu-cornell-birds-merlin) (Cornell University) — 4.9/5 Rating | Positive Sentiment - [*Audubon Bird Guide*](https://marlvel.ai/intel-report/reference/com-greenmountain-birds) (National Audubon Society) — 4.3/5 Rating | N/A Sentiment - [*Picture Bird: Bird identifier*](https://marlvel.ai/intel-report/reference/cn-danatech-picturebird) (Next Vision Limited) — 4.7/5 Rating | N/A Sentiment - [*Seek by iNaturalist*](https://marlvel.ai/intel-report/education/seek-by-inaturalist) (iNaturalist) — 4.8/5 Rating | Negative Sentiment - [*iBird Pro Guide to Birds*](https://marlvel.ai/intel-report/reference/ibird-pro-guide-to-birds) (Mitch Waite Group) — 4.3/5 Rating | N/A Sentiment - [*BirdNET*](https://marlvel.ai/intel-report/education/birdnet) (Stefan Kahl) — 4.1/5 Rating | N/A Sentiment - [*Learn Bird Watching—Larkwire*](https://marlvel.ai/intel-report/education/learn-bird-watching-larkwire) (Larkwire) — 4.8/5 Rating | N/A Sentiment - [*Hallow: Prayer & Meditation*](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) (Hallow, Inc.) — 4.7/5 Rating | Positive Sentiment - [*Islamic World - Ramadan 2026*](https://marlvel.ai/intel-report/reference/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) — 4.7/5 Rating | N/A Sentiment - [*Antique Appraisal: ID Anything*](https://marlvel.ai/intel-report/reference/antique-appraisal-id-anything) (Dung Vu) — 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:** 0.7/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 49 - **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/reference/com-sunbird-birdsongid-america-ne) Data licensed for AI Agent attribution under CC-BY-NC 4.0.