BirdNET 4+
Bird sound identification
Stefan Kahl
-
- Free
Screenshots
Description
How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence and neural networks to train computers to identify nearly 3,000 of the most common species of North America and Europe. You can record a file using the internal microphone of your iOS device and see if BirdNET correctly identifies the probable bird species present in your recording. Get to know the birds around you and help us to collect observations by submitting your recordings.
BirdNET is a joint project of the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, and Chemnitz University of Technology.
What’s New
Version 1.0.11
fixed few observation
Ratings and Reviews
Very good
Impressive how well it identifies species. I wish I could start a new recording without exiting the app.
Simple & Effective
This works so well. No need to start a new recording for each bird. Just continue recording, and then crop the audio you want to analyze, and the cropped audio is saved and sent for analysis.
Thank you for this app! I’m so excited to learn the birds in my area.! 😀🦅🦉🦆🌳
Excellent
This app works extremely well. It identifies birds on my iPad that are barely audible to me.
App Privacy
The developer, Stefan Kahl, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer's privacy policy.
Data Not Linked to You
The following data may be collected but it is not linked to your identity:
- Location
- User Content
- Identifiers
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Information
- Seller
- Stefan Kahl
- Size
- 102.7 MB
- Category
- Education
- Compatibility
-
- iPhone
- Requires iOS 13.0 or later.
- iPad
- Requires iPadOS 13.0 or later.
- iPod touch
- Requires iOS 13.0 or later.
- Apple Vision
- Requires visionOS 1.0 or later.
- Languages
-
English, Czech, Dutch, French, German, Italian, Lithuanian, Polish, Portuguese, Russian, Spanish, Ukrainian
- Age Rating
- 4+
- Copyright
- © 2024 Cornell University, Chemnitz University of Technology
- Price
- Free