birdnet

Bird frame for Raspberry Pi or your homelab - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations. On an e-ink panel, a TV, or any screen.

Self-hosted realtime soundscape analyser for birds, bats and other wildlife. Multi-model local AI inference, runs 24/7 on a Raspberry Pi.

A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.

Identify bird sounds in real time with this Android version of BirdNET. Bird sound recognition for more than 6,000 species worldwide.

RTSP I2S microphone streamer based on ESP32 XIAO boards for BirdNET-Go / BirdNET-Pi. Dual streams (/audio1, /audio2), Web UI, JSON API, OTA updates, and built-in auto-recovery for stable 24/7 operation.

Turn bird observations and detections into reviewed, reusable field-journal plates for color e-paper displays

A live, hand-illustrated collage of the birds outside your window — named by ear. A standalone Belkins build of BirdNET-Pi (CC-BY-NC-SA-4.0).

AI powered audio analyser for bird call visualisation, detection and cataloguing

A python api for BirdNET-Lite and BirdNET-Analyzer

A live bird collage card for your Home Assistant dashboard.

Professional bioacoustics in your pocket. Built for field researchers, conservationists, and serious birders.

Real-time bird detection on Raspberry Pi using BirdNET model.

A modern, actively maintained Raspberry Pi bird-monitoring platform with real-time birdsong detection, a redesigned interface, advanced analytics, live audio, weather and eBird integrations, and deeper insights into backyard bird activity.

Fast CLI tool for bird species detection using BirdNET and Perch AI models

An R package for NSNSD bioacoustics workflows, including functions for using BirdNET and converting to sound pressure levels

ESP32 e-paper frame that renders human-made 1800's art prints for the birds detected in your backyard with BirdNET or BirdWeather

BirdNET-Pi2Go is a data migration tool designed to facilitate the conversion of BirdNET-Pi database contents and audio files to the BirdNET-Go data model.

Code for training and deployment of a tiny acoustic model for the STM32N6

Repository for the neural networks and models created for the Bird Song Detector, a bird vocalization detector based on YOLO

BirdNET as a systemd service with other features.