Apps Like AviaryID for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.


Bird Sound Identifier Song ID
Thu Ha Chu Thi
Identify birds by their sounds
Identify birds by uploading images or recording sounds. View species details, habitat, and vocalizations. Compare calls and match them to species. Save identified birds to a personal collection.

Bird Sounds Relax
Phan Minh Cuong
Listen to songs and nature
Listen to songs of 30 singing birds. Simulate natural . Play realistic calls. Include other environmental for relaxation.


Rain Bird
RAIN BIRD CORPORATION
Set schedules, control sprinklers, adjust for weather
Control irrigation systems by connecting to controllers. Turn on sprinklers manually or automate watering schedules. Adjust settings based on weather conditions. Monitor usage and save water and costs.

EveryScan・Identifier & AI Lens
Conlan Limited
Identify objects and gain insights
Identify animals, plants, trees, and natural elements using AI image recognition. Capture and analyze images to receive detailed information. Access interactive guides and conservation tips. Sync data with a personal nature journal.




Surfshark VPN: Fast & Secure
SURFSHARK LTD
Encrypt data and block ads online
Encrypt internet traffic to hide online activity. Block ads and trackers. Generate temporary email addresses. Detect data leaks. Secure connections on multiple devices. Protect personal information while browsing.




Bird Sound Identifier Bird ID
Huy Dam
Identify birds and insects from photos
Identify birds and insects by uploading or taking a photo. View detailed information about species including habitat, behavior, and sounds. Access a comprehensive database with descriptions and images.






Bird Identifier: Aves Sound ID
Vu Thuan
Capture photos and identify species
Identify birds by photo or . View species details including name, appearance, and habitat. Access range maps and vocalizations. Save sightings and share with community.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.