Apps Like Baum Id Germany for iPhone and iPad
Nature guide to all native trees.
The app is a field guide to native trees in Germany, created by professional ecologists. It offers meticulously researched content and original photography, with identification possible through a series of questions or a list.
Baum Id Germany screenshots
Ranked alternatives
Showing 561–580 of 1,000 ranked alternatives.

Plant Identifier Care Diagnose
HOOZA VIET NAM COMPANY LIMITED
Identify issues and get tips
Identify species with photo uploads. diseases and receive tips. Get expert advice for health. Track progress over time. Share information with others.







Botai: AI Plant Identifier
DEVSRANK
Identify plants and learn about them
Identify plants by scanning leaves or flowers. Learn species details, care tips, and growth habits. Access facts, watering needs, and sunlight requirements. Sync with AI for instant recognition and educational insights.


Plant Identifier - BloomID
Marko Zhuravel
Identify plants by photo and get details
Identify plants by taking a photo. Access detailed information including botanical name, description, growing conditions, watering, and lighting needs. Receive care recommendations and diagnostic insights based on characteristics.

Sanskrit words - singular form
Vyoma Linguistic Labs Foundation
Sanskrit words in singular form.
The app introduces Sanskrit words based on domains. Words are arranged by category for understanding.



AI Plant Identifier: Plant ID
veysel yesilmen
Identify plants and care for them
Identify plants by uploading photos or scanning leaves. Receive species names, common aliases, and care tips. Access detailed information on growth habits, light requirements, and watering needs. Track health and receive alerts for potential issues.


Bird Id - Garden Birds Germany
Sunbird Images OHG
Identify common German bird species.
The app covers the 100 most commonly seen bird species in Germany. Bird songs are included for all birds.

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