Apps Like Leaf Identifier for iPhone and iPad
Snap and identify plant leaves
Take a photo or upload an image to identify plants using AI analysis of shapes, colors, and textures. View top matches with confidence scores, habitat details, and characteristics.
Ranked alternatives
Showing 421–440 of 1,000 ranked alternatives.


Insect Identifier: Scan Bug
Umut Bozdag
Identify insects and learn facts
Identify insects, spiders, reptiles, and snakes by snapping photos or selecting images from the gallery. Access detailed information on habitat, behavior, and safety. Engage in interactive conversations with an AI assistant.







Stamp Identifier °
MarioApps, LLC
Identify stamps with AI analysis
Identify stamps by snapping photos or uploading images using AI. Save and organize identified stamps. Review collection details and view information such as country, issue date, and rarity.



Plant Identifier: PlantIdenti
Mukesh Kumar
Identify plants with AI camera
Take a photo of any , flower, tree, or herb to get instant AI-powered identification results. View detailed information about the , including scientific name, care tips, and related species.


Fish Identifier: 96% Accurate
Nuclear Cyborg Corp
Snap and identify with AI
Take a photo of a to identify it with high accuracy. View scientific details, common names, and fishing tips. Log catches in a photo book, share findings, and access species information without ads or watermarks.





CanopyApp
University of New Hampshire
Capture canopy data with photos
Analyze canopy density by taking photos with a level view using the phone's gyroscope. Select leaf colors with touch inputs. Generate canopy data for different climates and seasons.

Sea Shell Identifier: Shellium
Roman Pieskov
Identify seashells from photos
Identify seashells using photos or scans. The analyzes images to provide instant identification with multiple suggestions and confidence scores. Users can learn about characteristics, habitats, and scientific names.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.