BirdNET App
Hold up your phone and identify birds with just one click. Fast, free, and powered by high-precision BirdNET AI—bringing professional bioacoustics to everyone.
Real-time Activity
BirdNET app users contribute to a global biodiversity database. Here is what's happening right now.
Most active species (24h)
Click on a species to see more details.
A research tool in your pocket.
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.
Identification in four steps
Record
Capture a high-quality audio snippet using your phone's built-in microphone.
Analyze
The app generates a spectrogram and processes it through the BirdNET model.
Suggest
Receive a ranked list of species matches with associated confidence scores.
Contribute
Optionally share your observation to help scientists monitor biodiversity.
Responsible citizen science.
Your recordings help improve BirdNET. Submissions are used for research and are licensed under CC BY‑SA 4.0.
Human speech is filtered; we do not publish clips containing speech. Published examples are anonymized.
Location is optional and user‑controlled; when provided, it helps track species diversity and change over time.
Data are stored securely to prevent unauthorized access.
Used for non‑commercial research and model development only.
Research Commitment
We are dedicated to open science and the protection of bird populations. Every data point shared through the BirdNET app contributes to a deeper understanding of our planet's biodiversity.
Read Full Privacy PolicyTechnical Tips
For best results, move closer to the singing bird when possible and hold your device steady to minimize handling noise. Avoiding traffic or other background sounds will significantly improve the model's accuracy.
BirdNET Live
Identify birds in real-time directly in your browser. BirdNET Live is a Progressive Web App (PWA) that processes sound locally on your device using TensorFlow.js—no audio ever leaves your phone.
Feedback & assistance
Encountering issues? Our team is active on GitHub and via email. Your feedback helps us improve the model and the application for everyone.
ccb-birdnet@cornell.edu