Online Resources
A collection of tutorials, articles, and videos to help you get the most out of BirdNET.
Video Tutorials & Webinars
BirdNET: Advancing Conservation with AI Powered Sound ID
An overview of how BirdNET’s AI tools are used to automate large-scale audio analysis for bird identification, supporting conservation research and ecological monitoring.
The BirdNET Project: Top-Down and Bottom-Up Opportunities
A presentation outlining the BirdNET project’s potential for bird conservation, describing how the app and associated technologies support both broad monitoring and detailed research.
Real-Time Acoustic Monitoring for Conservation and Community Engagement
This recorded webinar explores how solar-powered, real-time recording units—equipped with cutting-edge AI tools—can help land stewards detect species, monitor ecosystems, and share the sounds of their landscapes with the public.
BirdNET : Tips, Tricks, and Insights for Ecoacoustic Analysis
A practical video covering tips, tricks, and insights for using BirdNET and similar machine learning tools for ecoacoustic analysis, model interpretation, and workflow setup.
BioacousTalks: BirdNET for Bats?
A BioacousTalks session discussing extensions and applications of BirdNET-style acoustic classification methods to bat bioacoustics and broader acoustic detection contexts.
BioacousTalks: Custom Machine Learning Models with BirdNET Analyzer
A BioacousTalks presentation with Stefan Kahl (BirdNET creator) on building custom machine learning models using BirdNET Analyzer, useful for extending BirdNET to new taxa or environments.
BioacousTalks: Robust Acoustic Community Monitoring with BirdNET
A video on using BirdNET models in real acoustic monitoring projects, showcasing community-level bioacoustic surveys and minimal local training adaptations.
Use Sound and Machine Learning to Identify Birds
A tutorial-style video demonstrating how to use sound and machine learning tools to recognize bird calls, including setting up a system that can identify thousands of species from audio.
More Bioacoustics Videos
Watch the BioacousTalk series and more from the K. Lisa Yang Center for Conservation Bioacoustics.
Visit ChannelArticles & Guides
BirdNET-Analyzer Documentation
Comprehensive documentation for the BirdNET-Analyzer, including installation instructions, usage examples, and API reference.
Read DocumentationCommunity Discussions
Join the conversation on GitHub. Ask questions, share your projects, and connect with other BirdNET users.
Visit DiscussionsAI-powered BirdNET app makes citizen science easier
Cornell Lab of Ornithology explains how the BirdNET app applies deep learning to bird sound identification and expands participation in avian research through citizen science.
Read ArticleBird call app downloaded one million times worldwide
TU Chemnitz reports on the rapid global adoption of the BirdNET app, highlighting its scientific origins and growing public impact.
Read ArticleHow AI is helping scientists protect birds
National Geographic discusses how AI-based tools such as BirdNET are reshaping bird conservation, research workflows, and public engagement, while noting current limitations.
Read ArticleEavesdropping (On Birds) Has a Smart New Tool
A Park Science magazine feature from the U.S. National Park Service exploring how BirdNET’s AI acoustic analysis is being used to detect bird species across national parks and help answer ecological and management questions using large audio datasets.
Read ArticleAcoustic monitoring network for birds enhances forest management
Cornell Lab of Ornithology describes a large passive acoustic monitoring network using thousands of microphones and machine-learning bird sound analysis to help manage and protect fire-prone forests in California’s Sierra Nevada.
Read ArticleWhat Conservation Sounds Like
This bioGraphic article explores how bioacoustic tools — including autonomous recording units and AI call recognizers like BirdNET — are revolutionizing field research and conservation practice by enabling faster, large-scale monitoring of elusive bird species and ecosystems.
Read Article