BirdNET app activity

Total observations
Observations (24h)
Species (24h)
Users (24h)
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Overview

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.

  • Real-time bird sound identification.
  • Confidence scores and alternative suggestions.
  • Optional contribution of observations for research.
  • Works in many regions worldwide (model updates expand coverage).

Designed for birders, learners, educators, and anyone curious about the sounds they hear outdoors.

BirdNET app interface screenshots

Representative interface screenshots.

Simple capture

Tap record, wait for the birds to call, select a clip, and submit for analysis. No external microphone needed.

Instant results

Top species suggestions with confidence help you learn local birds faster.

Learning tools

Link detections to species info and improve recognition through repetition.

How it works

1. Record

Phone microphone captures ambient sound (short clip).

2. Analyze

Clip converted to a spectrogram; BirdNET model scores species.

3. Suggest

Top matches returned with confidence and alternate options.

4. Learn

Users explore species info, improving recognition over time.

Data & privacy

Your recordings help improve BirdNET. Submissions are used for research (e.g., to train and evaluate models) 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  • Human speech is filtered; we do not publish clips containing speech.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.

See the in‑app policy screen for additional details.

Tips

  • Move closer to the singing bird when possible.
  • Avoid handling noise (hold device steady while recording).
  • Limit overlapping sounds (traffic, voices) for better accuracy.
  • Try multiple short recordings if the first is uncertain.

BirdNET Live (Web App)

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.

  • Run offline: No audio uploaded, works without internet.
  • Real-time: Instant spectrogram & predictions.
  • Cross-platform: Desktop & mobile browsers.
  • Location-aware: Filters by local species.

Note: This project is in active development. Features and performance may vary.

Launch BirdNET Live ↗
No install required.
Add to home screen for app-like experience.

Support & feedback

If you encounter issues or have improvement suggestions, please use the feedback option in the app or contact the team.

Email: ccb-birdnet@cornell.edu

Get the app

Android ↗ iOS ↗

Free download. Requires microphone access.