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About BirdNET: Bird sound identification

How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence and neural networks to train computers to identify nearly 1,000 of the most common species of North America and Europe. Help us test this prototype app by recording a file using the internal microphone of your Android device and seeing if BirdNET correctly identifies the probable bird species present in your recording.

Please note: Response time is affected by the need to transfer the audio recordings to our servers in order to process the files. Recording quality may affect results, and will vary depending on your device. External microphones will probably increase the recording quality.

BirdNET is a joint project of the Cornell Lab of Ornithology and Chemnitz University of Technology.

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Frequently Asked Questions(FAQ)

How does BirdNET recognize birds from sounds?

BirdNET uses artificial intelligence and neural networks to train computers to identify bird species from sounds.

What does BirdNET identify?

BirdNET can identify nearly 1,000 of the most common species of North America and Europe.

Accurate and fun!

David York

Nice application to study nature. Great job in composing this application.

Sridhar Sathya

Tried this app and I dont make time to do reviews, but have to say "WOW" what an amazing app and congratulations to getting it spot on. Even its "guesses" were right on. If people have any trouble with this ...

Dan Lahl

I am obsessed. We live in a quiet area and I've been listening to these birds for years. The app is easy to use and a complete joy.

Janet Savage-Blumenfeld

This app works astoundingly well, especially considering the computational difficulty involved! I tested it at first by recording birds I had already visually identified, and the app got them right every tim...

Gwendolyn Calhoon

A bird began its song at 539a. I wanted to know it but it being pre-dawn no way to see it. This app came up in Google Play. I walked to the window and stood quietly and quickly I could see its sound on the m...

Lane Ulrich