Merlin Bird ID is a science-based bird identification app developed by the Cornell Lab of Ornithology. Designed for both beginners and experienced birders, Merlin uses artificial intelligence to identify birds from photos, recorded songs, or by answering a few simple questions about size, color, and location. The app’s sound identification feature listens to bird calls in real time and suggests likely species, making it especially useful when birds are heard but not seen.
What sets Merlin Bird ID apart is its deep integration with ornithological research and one of the largest bird databases in the world. The app draws from eBird data — a global citizen-science project — to refine its identification accuracy based on geographic location and season. Users can explore detailed species profiles that include range maps, identification tips, behavioral traits, and high-quality reference photos and audio recordings. Best of all, the app is free, making advanced bird identification tools widely accessible.
By combining image recognition, sound analysis, and data-driven filtering, Merlin Bird ID transforms birdwatching into a guided learning experience. Whether you’re identifying a backyard cardinal, a migrating warbler, or a mysterious call at dusk, Merlin offers reliable, research-backed support — essentially turning your smartphone into a pocket-sized field guide powered by modern ornithology.