Merlin Bird ID by Cornell Lab

Discover Merlin Bird ID, the definitive bird identification app from the Cornell Lab, perfect for birders of all skill levels. This free app leverages the extensive eBird database, providing expert identification guidance, range maps, stunning photos, and authentic bird sounds to enrich your birding experience. Identify birds effortlessly by uploading photos, recording bird calls, or exploring region-specific bird packs.

Merlin's accuracy stems from Visipedia's powerful machine learning, analyzing millions of verified bird sightings globally. Available in a multitude of languages, this app is an essential tool for any bird enthusiast. Download now and embark on exciting birding adventures!

Key Features:

• Expert identification tips, range maps, photos, and sounds facilitate learning and skill development.
• Location-based personalized bird lists for targeted searching.
• Visipedia-powered machine learning for accurate photo and sound identification.
• Access to comprehensive bird packs encompassing photos, songs, calls, and identification aids for diverse global regions.
• Multilingual support, including English, Spanish, Portuguese, French, Hebrew, German, Japanese, Korean, Turkish, Simplified Chinese, and Traditional Chinese.
• Seamless integration with eBird, enabling effortless tracking of your bird sightings.

In summary:

Merlin Bird ID is a robust and user-friendly application offering a wealth of features for bird identification and learning. The combination of expert advice, visual aids, audio samples, and cutting-edge machine learning technology ensures accurate and insightful results. Its global reach, thanks to diverse language support and regional bird packs, makes it an invaluable resource for birdwatchers worldwide. The app’s integration with eBird further enhances its utility for serious birders. Overall, Merlin Bird ID is a must-have for bird lovers of all levels, promoting a deeper appreciation and understanding of avian life and conservation efforts.

Merlin Bird ID by Cornell Lab Screenshots