Apps Like Bug Identifier: Insect Id App for iPhone and iPad
Bug Identifier: Insect Id App screenshots
Ranked alternatives
Showing 141–160 of 1,000 ranked alternatives.


Flower Identifier - FlowerID
BoltQ Media
Identify bugs, plants, and flowers
Identify insects, bugs, and pests using AI-powered image recognition. View species details, habitat, and behavior. Learn about plants and their associated insects. Add observations to a personal collection. Share findings with others.





Bug & Insect Identifier
Cristian Alan Canales Mota
Identify insects with a photo
Take photos or select images from your library to identify species. Use AI to analyze visual features like body shape and color. Engage with an interactive chat bot to get detailed information about the identified .




GA Cotton Insect Advisor
Charles T. Bargeron
Cotton insect pest management in Georgia.
The app provides insecticide treatments for cotton insect pests in Georgia. It displays insecticide or tankmix recommendations based on user-provided bloom week, stink bug species, boll injury, and other pest data.




Flashcards. Animal sounds. ABC
Sirvard Manukyan
Learn words with flashcards and quizzes
Learn through interactive flashcards with quizzes and magical elements. Tap cards to reveal animated content. Choose from 22 languages. Practice vocabulary and concepts with changing cards. Track progress through gameplay.

Spider Identifier Spider ID
Pibardos LLC
Identify spiders and insects with photos
Identify spiders and insects by uploading photos or using the camera. View detailed species information, fun facts, and scientific names. Access a database of arachnids and insects with high-resolution images and descriptions.



Bug+ Identifier .
Livintis W.L.L.
Identify bugs and learn about them
Identify bugs and insects by snapping photos. Receive instant recognition with detailed information on species, behavior, and ecological role. Learn about their natural history and habitat through expert insights.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.