# BirdNET-Analyzer Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/birdnet-analyzer
> Markdown URL: https://aitinkerers.org/technologies/birdnet-analyzer.md
> Technology record last updated: 2026-03-16T18:20:28Z
> Generated: 2026-09-21T18:35:25Z

AI-powered engine for large-scale bioacoustic monitoring: processes thousands of hours of audio to identify over 6,000 bird species.

BirdNET-Analyzer is the core scientific workflow tool for automated bioacoustic monitoring, developed by the Cornell Lab of Ornithology and Chemnitz University of Technology. It applies advanced BirdNET deep learning models to large audio datasets, efficiently processing thousands of hours of recordings from passive acoustic monitoring (PAM) arrays. The V2.4 model identifies over 6,000 global bird species, providing researchers with specific outputs: timestamps, species labels, and confidence scores. This capability scales biodiversity tracking from pilot studies to multi-year deployments, supporting both CLI and GUI workflows.

- Official technology site: https://birdnet.cornell.edu
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Setting Up BirdNET-Go: a Journey in AI Bird Song Analysis](https://minneapolis-saint-paul.aitinkerers.org/talks/rsvp_pJEIYT--ue8)

I will be presenting on existing applications for bird audio analysis, why I am using BirdNET-Go, and how I've made the setup easier using docker.

- Event context: AI Tinkerers Minneapolis Meetup — November 5, 2025 — 2025-11-05 — Minneapolis Saint Paul
- Public talk page: https://minneapolis-saint-paul.aitinkerers.org/talks/rsvp_pJEIYT--ue8

## Related Technologies

- [BirdNET-Go](https://aitinkerers.org/technologies/birdnet-go) ([Markdown](https://aitinkerers.org/technologies/birdnet-go.md)) — 1 public demo
- [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos
- [RTSP](https://aitinkerers.org/technologies/rtsp) ([Markdown](https://aitinkerers.org/technologies/rtsp.md)) — 3 public demos