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

-13 Points Past 30 Days

Category: Education

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30-Day Trend

Poor

Fair

Good

Epic

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Android unitQ Score

Android User Feedback

56%

Android
30 Reports

iOS unitQ Score

iOS User Feedback

44%

iOS
24 Reports

User Feedback

44%

iOS
24 Reports

56%

Android
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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