---
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: "2026-05-20T00:00:00.000Z"
report_version: "9.0"
total_reviews: 1363
overall_rating: 4.2
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"
review_sample_size: 49
total_review_count: 49
analyzed_review_count: 49
data_age_days: 88
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/apps/com-sunbird-birdsongid-america-ne"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Bird Song Id USA songs & calls Intelligence Report

## 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)

> **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.

<!-- speakable-start -->
> **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.
<!-- speakable-end -->

## 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** | 88d |

## 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 Reviewed:** 9.0
- **Report 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

<!-- section:executive-snapshot -->
## 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.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## 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.
<!-- /section:features -->

<!-- section:market-position -->
## 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.
<!-- /section:market-position -->

## 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.

<!-- section:sentiment -->
## 🟡 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**

<!-- /section:sentiment -->
<!-- section:swot -->
## 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

**Growth Levers:**
- Refining recognition logic to match competitor accuracy
- Redesigning UI for one-handed field operation
- Expanding library to include more regional species


<!-- /section:swot -->
## 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)
- **[Shifted] Sentiment Classification** (sentiment)

### Medium-impact changes
- **[Shifted] Pricing Strategy** (pricing)
- **[Added] New Competitive Threats** (swot)

<!-- section:rivals -->
## 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
- **[Merlin Bird ID by Cornell Lab](https://marlvel.ai/apps/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.
  - **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.

### Contenders (Strong Challengers)
- **[Picture Bird: Bird identifier](https://marlvel.ai/apps/cn-danatech-picturebird)** by Next Vision Limited: 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/apps/com-greenmountain-birds)** by National Audubon Society: 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/apps/birdnet)** by Stefan Kahl: 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/apps/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/apps/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/apps/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.

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v9.0, 5 years ago):** Improved automatic recognition and updated for iOS compatibility.
<!-- /section:whats-new -->

<!-- section:momentum -->
## 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

<!-- /section:momentum -->

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

Bird Song Id USA songs & calls is an established reference app that is a paid app.
It holds a 4.21/5 rating from 1.4K reviews.

<!-- speakable-start -->
> **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.
<!-- speakable-end -->

**Best for:** Nature enthusiasts, bird watchers, and families seeking educational tools for species identification in the field.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Rebuild recognition engine because current accuracy is the top complaint → reduce churn
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors


- Real-time, location-based probability models (available in Merlin Bird ID)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### 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.
<!-- /section:outlook -->

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

<!-- section:metrics -->
## 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 |
<!-- /section:metrics -->

## 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/apps/edu-cornell-birds-merlin) | 4.9/5 | Excited | Cornell University |
| [Audubon Bird Guide](https://marlvel.ai/apps/com-greenmountain-birds) | 4.3/5 | N/A | National Audubon Society |
| [Picture Bird: Bird identifier](https://marlvel.ai/apps/cn-danatech-picturebird) | 4.7/5 | N/A | Next Vision Limited |
| [Seek by iNaturalist](https://marlvel.ai/apps/seek-by-inaturalist) | 4.8/5 | n/a | iNaturalist |
| [iBird Pro Guide to Birds](https://marlvel.ai/apps/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/apps/edu-cornell-birds-merlin) (Cornell University) · 4.9/5 Rating | Positive Sentiment
- [*Audubon Bird Guide*](https://marlvel.ai/apps/com-greenmountain-birds) (National Audubon Society) · 4.3/5 Rating
- [*Picture Bird: Bird identifier*](https://marlvel.ai/apps/cn-danatech-picturebird) (Next Vision Limited) · 4.7/5 Rating
- [*Seek by iNaturalist*](https://marlvel.ai/apps/seek-by-inaturalist) (iNaturalist) · 4.8/5 Rating
- [*iBird Pro Guide to Birds*](https://marlvel.ai/apps/ibird-pro-guide-to-birds) (Mitch Waite Group) · 4.3/5 Rating
- [*BirdNET*](https://marlvel.ai/apps/birdnet) (Stefan Kahl) · 4.1/5 Rating
- [*Learn Bird Watching—Larkwire*](https://marlvel.ai/apps/learn-bird-watching-larkwire) (Larkwire) · 4.8/5 Rating
- [*Hallow: Prayer & Meditation*](https://marlvel.ai/apps/hallow-prayer-meditation) (Hallow, Inc.) · 4.7/5 Rating | Positive Sentiment
- [*Islamic World - Ramadan 2026*](https://marlvel.ai/apps/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) · 4.7/5 Rating
- [*Antique Appraisal: ID Anything*](https://marlvel.ai/apps/antique-appraisal-id-anything) (Dung Vu) · 5.0/5 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:** 0.7/1.0 (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:** 88 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/com-sunbird-birdsongid-america-ne)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.