- BirdNET – AI-Powered Sound ID
BirdNET is a research platform and family of tools that make it possible to detect, classify, and explore bird sounds using state-of-the-art neural networks From smartphone apps to large passive acoustic monitoring arrays, BirdNET supports workflows for birders, conservationists, and scientists
- BirdNET - Cornell University
No data available Please upload an audio file (maximum duration of 10 minutes) containing bird sounds Help us to improve BirdNET! Please take a moment to fill out our survey
- BirdNET LiveMap
This map shows anonymized BirdNET observations Click on the markers to see more details Hide Observations (Total | 24h):
- About BirdNET
BirdNET aims to lower the barrier to using sound for biodiversity monitoring By combining deep learning with open tools and citizen science, we help track bird populations and support conservation decisions at local to global scales
- BirdNET App – Identify Birds by Sound
The BirdNET mobile app lets you hold up your phone, record a few seconds of sound, and get instant identification suggestions It uses the same core neural network models that power research-grade monitoring tools, simplified for everyday use
- BirdNET Demo
BirdNET Demo (Browser Inference) Run BirdNET locally with TensorFlow js Optionally refine with geo (lat lon) Code adapted from georg95 birdnet-web
- BirdNET Showroom
A web-based “workbench” for exploring millions of BirdNET-Analyzer detections, with rich filtering, plots, weather context, and access to spectrograms and audio files
- BirdNET Tools
Open-source tools from the BirdNET-Team GitHub organization and collaborators These projects bring BirdNET to research workflows, field devices, and analysis environments
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