Bird identification apps, notably Merlin Bird ID developed by Cornell University's Lab of Ornithology, are seeing a substantial increase in user adoption. These applications utilize artificial intelligence to identify bird species from photos, songs, or calls, making birdwatching more accessible to a broader audience.
Merlin Bird ID, which launched in 2014, initially identified 285 common species from photos. It now identifies approximately 11,000 species, covering nearly all known bird species globally. This expansion is due to advancements in AI and machine learning, alongside contributions from a global community of birdwatchers who submit recordings for training data.
Merlin Bird ID has accumulated 42 million downloads overall, with 12 million downloads occurring in 2026 alone. Its Sound ID tool has been used for 4.4 billion identifications. Other bird identification apps, such as Birda, have also reported increased downloads, with a 31% rise this year according to Sensor Tower.
This surge in popularity is linked to several factors, including more people spending time outdoors and a noticeable shift towards younger demographics engaging in birdwatching. Reports indicate an increase in Gen Z birders, contributing to the apps' growing user base.
While these apps provide a valuable tool for budding birders, some experts caution against over-reliance on them for official sightings due to occasional inaccuracies. Despite these limitations, the technology has significantly lowered the barrier to entry for birdwatching, allowing more individuals to engage with nature and identify species they encounter.
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AI-powered bird identification applications, such as Cornell University's Merlin Bird ID, are experiencing a significant increase in downloads and usage. This trend is attributed to advancements in machine learning, increased public interest in nature, and a growing number of younger birdwatchers. The apps allow users to identify bird species by sight or sound, making birdwatching more accessible.