Apps Like Plant ID - AI Identify Plants for iPhone and iPad
And diagnose issues
By uploading photos or using live camera recognition. Diagnose health issues and receive care tips based on images. Learn about habitats and key details through AI analysis.
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.




Plant Identifier: Finder, Care
Alex Nowak
Identify plants and get tips
Identify plants using AI-powered image recognition. Learn instructions including watering, lighting, and soil needs. Track health with symptom analysis. Receive customized cultivation tips and seasonal guidance.




Plant id: Leaf Grass Tree Snap
静 刘
Capture plants, track species, explore nature
Capture images for instant species identification using AI. Learn about habits, fun facts, and care tips. View toxicity alerts for safety. Explore location-based maps and track observations in a personal journal.

S-Miles Installer
Hoymiles Power Electronics Inc.
Monitor accounts and install microinverters
Monitor and configure power plant accounts with visual layout guides. Track plant-level and module-level generation data. View detailed alarm information for diagnostics and commissioning.


Hawaii Plants
Wildflower Search
Identify with location and details
Identify based on location, flower color, and time of year. Search for 1,225 species, including 345 wildflowers, 288 shrubs, and 252 trees. View plant details and match descriptions to find accurate results.

Plant Album
Andrew Nicolle
Track growth and care progress
Track growth with photos and notes. Set watering schedules and reminders. Organize multiple plants and gardens. View progress over time with timeline features. Sync data across devices.




Plantin Ai: Plant Garden Care
武 薛
Identify plants with AI camera
Identify plants by snapping photos. Diagnose issues like brown spots or pests through uploaded images. Receive recommendations including watering, lighting, and nutrient needs. Track health over time with progress updates.

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