ChirpOMatic - BirdSong USA is a reference app developed by Spiny Software. The last update, v4.00, released on June 03, 2024, and it’s rated 4.58 out of 5 based on the latest 1.4K reviews. ChirpOMatic - BirdSong USA is FREE and requires iOS 15.0+ and Android 14 or newer to download.
Identify birds by song & call
Description
ChirpOMatic USA identifies North American birds quickly and easily, from the Blackpoll Warbler’s high pitched song to the loud gobble of the Wild Turkey.
Want to enjoy ChirpOMatic - BirdSong USA on your desktop? Download the latest APK (4.00, 456 MB) or choose your preferred version, and follow our Bluestacks emulator guide for easy installation on Windows or macOS. For any assistance with downloading or installing APK files, feel free to visit our forums!
User Reviews and Ratings
★★★★★amazing app!!
this app is very accurate and has helped me learned bird songs better than any other way I have tried. If you want to learn bird songs, including the variations, then this is the app for you! I love how the app also shows other similar species so you can really compare the species and learn the differences between them. This is a great app for birding!
★★★★★Sounds of Nature
What a wonderful tool to give me an absolute additional joy of nature and most especially birds!
When my daughter was a little girl about three years old I purchased her a book that identified the picture in the sound of birds as she still remembers listening to a bird and saying “mommy that’s a yellow bellied sap sucker” so when I showed her the ChirpOMatic now when we go on walks we stop and record some of the bird sounds that we hear that are unique to our area this is such an awesome tool!
★★★★★Love Birds
I really like this app but wish I could find some directions. I am old and not very good with this technology. I think I am missing some of the things the app can do.
★★☆☆☆Meh
I found that this app has a hard time identifying the right birds.
★★☆☆☆Very limited functionality
I have not found this app to work, really ever. I limit background noise as much as possible, hold as still as possible, and get as close as possible and end up with incorrect identifications 90-95% of time. Just a heads up.
