Apps Like Bird Identifier - Byrdd for iPhone and iPad
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.







Bug Identifier: Spider
FAMO Connect LLC
Identify insects with a photo
Identify insects, bugs, and spiders by uploading a photo. Receive common and scientific names, category, detailed description, features, habitat, and lifecycle information. View high-resolution images and compare with similar species.

Animal Identifier - iSpecies
Dionysus Labs, LLC
Identify animals with instant image recognition
Identify animals through images using AI. View common and scientific names along with facts and details. Access information about habitats, behaviors, and conservation status. Share identified species with others.


Birda - Bird Watching, Birding
Chirp Birding Ltd
Identify birds, share sightings, connect with others
Identify birds using AI-powered image recognition. Access detailed species information and location data. Join a global community to share sightings and learn from others. Contribute to conservation efforts by reporting observations.




iBird Pro Guide to Birds
Mitch Waite Group
Identify by sound and sight
Identify by sound or image. Access detailed species information including calls, habitat, and distribution. View high-quality photos and range maps. Compare similar species. Save sightings and manage a personal bird list.


Bird Feather Identification °
Leonardo Estremadoyro
Identify birds from photos or gallery
Identify species by snapping photos or selecting images from the gallery. Access detailed information about behavior, habitat, and other traits via an in- assistant. Save results to a personal collection for tracking birdwatching progress.

Bird identifier by picture
Harsh Vardhan
Identify birds by photo and sound
Identify species using AI-powered image analysis. Upload or take photos for instant recognition. Access detailed information on characteristics, habitats, and behaviors. Save and organize sightings in a personal journal.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.