| Core Identity |
| Developer | XLABS DIJITAL HIZMETLER ANONIM SIRKETI | Next Vision Limited | Cornell University | Glority Global Group Ltd. | Vortemol Limited | Next Vision Limited | iNaturalist | Collectr |
| Category | Reference | Reference | Reference | Education | Reference | Education | Education | Reference |
| Platform | iOS, Android | iOS, Android | Android, iOS | iOS, Android | iOS | Android, iOS | iOS, Android | iOS, Android |
| Store Metrics |
| Rating | 4.5 / 5 | 4.7 / 5 | 4.9 / 5 | 4.8 / 5 | 4.7 / 5 | 4.7 / 5 | 4.8 / 5 | 4.9 / 5 |
| Ratings Count | 3,072 | 272,285 | 107,645 | 1,050,670 | 87,734 | 70,172 | 30,771 | 43,903 |
| Price | Free | Free | Free | Free | Free | Free | Free | Free |
| Release Date | Apr 15, 2025 | Aug 3, 2022 | Dec 11, 2013 | Jul 20, 2017 | Mar 16, 2023 | Jan 26, 2021 | Mar 9, 2018 | Jan 31, 2022 |
| Last Updated | Apr 17, 2026 | Apr 2, 2026 | Apr 7, 2026 | Apr 7, 2026 | Apr 2, 2026 | Feb 9, 2026 | Apr 10, 2026 | Mar 27, 2026 |
| Sentiment & Reviews |
| Sentiment | terrible | positive | positive | mixed | - | - | negative | mixed |
| Score | 15/100 | 68/100 | 75/100 | 50/100 | - | - | 35/100 | 55/100 |
| Praises | - Occasional positive feedback highlights the utility of the image identification tool for specific object types
| - Identification Speed and Utility
- Educational and Historical Value
| - Audio identification technology provides accurate and educational birding experiences for users of all skill levels
| - Identification Accuracy
- Comprehensive Care Features
| - | - | - Gamified nature exploration challenges provide a compelling incentive for users to get outdoors
- Live camera identification provides immediate educational value for users exploring local natural environments
| - Collection Tracking Utility
- Ease of Use
|
| Complaints | - Deceptive free trial marketing leads to immediate unauthorized subscription charges for users upon initial download
- Inaccurate search results and poor data curation fail to provide meaningful information for user queries
| - Identification Inaccuracy
- Subscription and Billing Transparency
| - Removal of automatic recording saves following the latest update causes significant data loss for field users
| - Deceptive Pricing Model
- Cancellation Difficulty
| - | - | - Camera performance regressions following the latest update cause frequent freezing and application crashes
- Inaccurate species identification model frequently misclassifies common organisms as unrelated species or broad categories
- Loss of historical observation data following reinstallation or update cycles frustrates long-term users
| - Inaccurate Scanner
- Aggressive Paywalls
|
| Requests | - | - | - Restoration of automatic recording save functionality as a configurable setting for power users
| - | - | - | - Cloud synchronization for observation data to prevent permanent loss during app reinstallation
| - |
| Strategic Intel |
| Strengths | - Broad multi-category identification scope reduces the need for multiple specialized apps
| - Massive database of 300,000+ coin types
- Strong social proof with 272k+ ratings
- Specialized error coin detection logic
| - eBird database integration provides unmatched scientific credibility
- Non-profit status builds high user trust
- Offline regional packs ensure utility in remote field conditions
| - 98% identification accuracy on 400k+ species
- 24/7 human expert botanical consultation
- Strong market leadership (#1 in category)
| - | - | - Proprietary identification model derived from global community observations
- Privacy-first architecture lowers initial friction for families
- Non-profit status builds high institutional trust
| - Massive database of 1M+ products across multiple TCGs
- Strong market presence with top-10 rankings in Reference category
- Real-time financial tracking including multi-currency and crypto support
|
| Weaknesses | - Deceptive trial marketing triggers high refund rates
- Inaccurate identification results erode user trust
| - Inaccuracy in detecting mint marks and specific dates
- Perceived deceptive billing/trial practices
- Lack of bulk-entry features for large collections
| - Removal of automatic recording saves creates data-loss risk
- Inconsistent account sign-in
- Technical instability post-update
| - Perceived 'bait-and-switch' subscription onboarding
- High friction in the membership cancellation flow
- Recent technical regressions causing app crashes
| - | - | - Local-only data storage causes permanent loss for users
- Camera stability regressions in the latest update
- Identification model frequently defaults to broad categories
| - AI scanner struggles with card variants (holo/1st edition)
- Restrictive free-tier scan limits causing user friction
- Missing legacy or non-TCG card data (Comics/Sports)
|
| Pricing | freemium | subscription | free | freemium | freemium | free | free | freemium |
| Momentum | Active | Maintenance | Active | Maintenance | Intense | Active | Maintenance | - |
| Update Cadence | 4 versions, 3 majors/6mo, ~3d avg | 5 versions, ~7d avg | 4 versions, 2 majors/6mo, ~7d avg | 5 versions, ~8d avg | 5 versions | 5 versions | 5 versions, ~8d avg | - |