BirdNET
Stefan Kahl
4.1 ★
store rating
Free
AppRecs review analysis
AppRecs rating 3.9. Trustworthiness 79 out of 100. Review manipulation risk 21 out of 100. Based on a review sample analyzed.
★★★☆☆
3.9
AppRecs Rating
Ratings breakdown
5 star
63%
4 star
11%
3 star
11%
2 star
4%
1 star
12%
What to know
✓
Low review manipulation risk
21% review manipulation risk
✓
Credible reviews
79% trustworthiness score from analyzed reviews
✓
High user satisfaction
74% of sampled ratings are 4+ stars (4.1★ average)
About BirdNET
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.
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.