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BirdNET Live is a bioacoustic monitoring application designed for identifying bird species through real-time audio analysis. It uses the BirdNET+ machine learning model to recognize 9,789 species directly on supported devices without requiring internet access. Researchers can observe live spectrograms, conduct timed point counts, and perform extended surveys with GPS tracking. The application also analyzes existing audio recordings and supports multi-day monitoring through its acoustic recording unit mode. Its location-aware exploration tools help users discover bird species expected in their surroundings. Recorded sessions can be reviewed, edited, and exported for further scientific analysis. BirdNET Live supports compressed FLAC recording and multiple research-oriented export formats. Built with Flutter, it targets Android, iOS, and Windows.
Features
- Offline bird identification using the BirdNET+ model covering 9,789 species
- Live audio monitoring with scrolling spectrograms and real-time species detection
- Timed point count sessions and extended field surveys with GPS tracking
- Existing audio file analysis with support for WAV, FLAC, MP3, and OGG formats
- Multi-day acoustic recording deployments with efficient FLAC audio compression
- Session management and scientific data exports in Raven Pro, CSV, JSON, GPX, and ZIP formats
Project Samples
