Cornell Lab of Ornithology
Merlin Bird ID by Cornell Lab
Publisher DNA
What defines Cornell Lab of Ornithology?
AI intelligence is not yet available for Cornell Lab of Ornithology. The portfolio data below is up to date.
Portfolio
What does Cornell Lab of Ornithology ship?
Apps
1 app analysed
What’s that bird? Just answer 5 questions, snap a photo, or record its song!
Non-profit funding model eliminates ad-based friction, driving high user trust
- Sound identification technology provides highly accurate bird species recognition even when multiple birds sing simultaneously
- Account authentication issues following the latest update prevent users from accessing their saved life lists
Distributed across 19 markets, strongest in Europe.
Based on 1 of 1 app with localized market data · last scanned .
Americas (4)
- Brazil1 / 1
- Canada1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (8)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Netherlands1 / 1
- Portugal1 / 1
›+3 more europe markets
- Spain1 / 1
- Turkey1 / 1
- United Kingdom1 / 1
Asia-Pacific (7)
- Australia1 / 1
- India1 / 1
- Indonesia1 / 1
- Japan1 / 1
- Singapore1 / 1
›+2 more asia-pacific markets
- South Korea1 / 1
- Vietnam1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
1
Positive apps
0
Neutral / mixed
0
Negative apps
85/100
Avg sentiment score
Rivals
Who does Cornell Lab of Ornithology compete with?
The rivals identified
Nemeses(1)
Both apps target birders with automated identification tools for photos and audio, competing directly for the same user base of nature observers.
Contenders(9)
Both apps target birders with photo and sound identification tools, competing for the same outdoor observation use case.
Both apps target the UK bird identification market, with the rival expanding the scope to include insect identification alongside avian species.
Both apps target outdoor bird observation, but Birder uses a gamified collection mechanic while Merlin Bird ID focuses on scientific identification.
Both applications target the bird identification market, though they differ fundamentally in their approach to species recognition and user interaction.
Both apps target bird enthusiasts with automated photo-based identification tools, creating direct competition for users seeking field-based species recognition.
Both applications target birders with audio-based species identification, creating direct competition for field-based nature observation tools.
This app offers a specialized reference guide for British Isles birds, providing professional ecological data for a specific regional audience.
BirdScope targets the same outdoor enthusiast audience as Merlin Bird ID by Cornell Lab, offering identical core functionality in photo and audio species identification.
Both apps target birders and outdoor enthusiasts with identification tools, competing for the same field-based observation use case.
Same space(15)
This app focuses on the memorization and learning aspect of bird identification, using a game-based approach to build knowledge.
This app serves as a digital content hub for UK birders, providing editorial depth that complements the source app's technical identification tools.
This app captures the social-first segment of the birding market, offering a community-driven experience that contrasts with the source app's focus on individual identification.
This app provides a regionalized identification filter for European species, serving as a specialized tool for birders in that specific geography.
This app uses the BirdNET engine to provide a privacy-focused, account-free identification tool that directly competes with the source app's utility.
This app provides an encyclopedic reference for European birds, targeting users who value detailed written descriptions and illustrations over automated AI tools.
This app competes for the same outdoor enthusiast demographic but uses a subscription-gated diagnostic model that contrasts with the free, non-profit nature of the source app.
This app provides a niche identification tool focused on feathers, expanding the scope of bird-related identification beyond standard photo or sound recognition.
This app functions as a trusted, authoritative reference tool that complements the source app by providing curated educational content for North American species.
This app provides a high-quality digital reference for British and Irish bird species, competing on the strength of its authoritative illustrations and content.
This app focuses on ear-training and memory, offering a pedagogical approach to birding that differs from the source app's automated identification engine.
This app serves as a localized field guide for British birders, offering a free, high-utility tool that includes cloud synchronization for personal records.
This app acts as a general-purpose bird identification guide, providing a similar feature set to the source app for casual nature observers.
This app attempts to provide a global bird identification database, though it currently faces technical barriers that limit its utility compared to the source app.
This app serves as a direct functional alternative for bird identification, targeting the same user base with a similar free, ad-free value proposition.
