BirdNET Showroom
BirdNET powers a growing ecosystem of community projects that bring bird sound recognition into homes, fieldwork, and creative tools. Here are some highlights.
HaikuBox
A backyard listening station that continuously detects birds and shares short clips and species IDs via a web and mobile app, powered by BirdNET.
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BirdNET-Pi
A Raspberry Pi-based station that runs BirdNET TFLite models on-device for real-time detection.
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BirdWeather
A real-time global map of stations detecting birds using BirdNET models.
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birdnetlib
A lightweight Python wrapper for BirdNET, enabling fast detections in scripts and applications.
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ecoPi:Bird
A self-sufficient recording station for long-term bird sound monitoring using BirdNET-based models.
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Terra
The Terra Station is an listening and radio monitoring device that streams nature sounds and identifies bird calls using BirdNET.
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Dawn Chorus
A global participation project inviting people to record dawn choruses with BirdNET-powered insights.
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Chirpity
A fast desktop validation tool for BirdNET detections with waveform + spectrogram display.
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BirdNET-Go
A Golang implementation of BirdNET for fast, portable deployments.
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whoBIRD
An offline Android app built on BirdNET TFLite models for fully local bird sound ID.
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Ribbit
A frog sound identification tool built on BirdNET embeddings.
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ecoSound-web
A web-based ecoacoustics analysis suite that integrates BirdNET.
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FaunaNet
A bioacoustics platform built on BirdNET-Analyzer and birdnetlib, providing a flexible environment for research projects and large-scale soundscape analyses.
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Muuttolintujen Kevät
A mobile app developed at the University of Jyväskylä that lets citizens record bird songs and contribute observations using a BirdNET-based classifier tuned for Finnish birds.
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BirdOMatic
A web-based “workbench” for exploring millions of BirdNET-Analyzer detections, with rich filtering, plots, weather context, and access to spectrograms and audio files.
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Working on a project that uses BirdNET models or embeddings? Get in touch and we may be able to feature it in this showroom.
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