65
fair
BirdNET | unitQ Score
The unitQ score is the fraction of public feedback data (iOS & Android) that mentions quality issues.
100 = No Issues. 50 = Some Issues. 0 = All Issues
100 = No Issues. 50 = Some Issues. 0 = All Issues
-13 Points Past 30 Days
Category: Education
30-Day Trend
Android unitQ Score
Android User Feedback
56%
Android
30 Reports
30 Reports
iOS unitQ Score
iOS User Feedback
44%
iOS
24 Reports
24 Reports
User Feedback
44%
iOS
24 Reports
24 Reports
56%
Android
30 Reports
30 Reports
BirdNET - Latest Quality Issues
Android
Mar 1, 2025
Often false result.
Android
Mar 3, 2025
CANNOT BE PLAYED AFTER ONCE USED
Android
Mar 3, 2025
At the beginning, the recognition worked quickly and accurately. Now NOTHING works anymore?? Why? Please correct it again
iOS
Mar 3, 2025
No analysis
Used to work well but now simply shuts down when “analysis” is clicked.
Android
Mar 4, 2025
The app works very well. My recording was identified and 100% correct. The location was not recognized despite being turned on. It would be good to be able to do it afterwards.
iOS
Mar 5, 2025
Closes down
I've used this great app for years, but now, after update, I try to have a bird song identified, the app just shuts down… iPhone 15 pro max running iOS 18.3.1. Still happens after phone reboot. Thanks for any help you can provide!
Android
Mar 5, 2025
Cant hear a cal fall away and can only guess
iOS
Mar 6, 2025
Please fix it. Does not work.
I love it but Crashed while analysing
Android
Mar 7, 2025
Changed my review as it seems none of these apps are any good at genuinely identifying birds calls or songs.
BirdNET - Product 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 Cornell Lab of Ornithology and Chemnitz University of Technology.
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