Merlin Bird ID by the Cornell Lab helps you identify birds you see and hear. The app leverages eBird, the world's largest database of bird sightings, sounds, and photos. With four methods of identification—answering questions, uploading photos, recording bird sounds, or exploring birds in a region—Merlin offers a user-friendly and comprehensive bird identification experience. Trained on millions of photos and sounds collected by birders worldwide, Merlin provides highly accurate results, making it a trusted resource for both amateur and expert bird watchers.

Pl@ntNet is a mobile app and participatory science project designed to identify plants and improve botanical knowledge. The app relies on machine learning algorithms to process user-submitted photographs and provide plant identifications. Users can capture images of plants, flowers, leaves, or fruits and instantly receive detailed descriptions, including the scientific and common names. The app also allows users to explore a vast database of plant species and share their observations, contributing to a global community effort in documenting plant biodiversity.