Identify Bird Sound
Upload an audio recording of a bird call to identify the species
Free and unlimited — powered by BirdNET
Sound ID runs the Cornell Lab BirdNET model on your device. It's completely free, never counts toward your AI usage, and you can analyse as many recordings as you like.
BirdNET's accuracy is strongest in well-sampled regions, so results can vary where reference data is sparse. If a suggestion looks off for your area, cross-check the photos and chat with our AI about its range and distribution before logging.
Tips for Sound ID
- Record at least 3 seconds of clear bird song or call
- Get as close to the bird as safely possible
- Minimise background noise — wind, traffic, talking
- Early morning recordings tend to work best
Analyzing Sound...
Identifying bird from audio recording
Sound Identification
Tap a result to view full species details
Powered by BirdNET
Sound identification is provided by BirdNET, an open-source bird sound recognition system developed by the Cornell Lab of Ornithology and Chemnitz University of Technology. Kagn integrates BirdNET's on-device model directly — no accounts, no limits, completely free.
Not the right bird?
Try recording again or use our filters to browse similar species.