Plant identifier care guide

Name: Plant identifier care guide
Rating: 4 (536 reviews)
Author: RLAM FZCO

By: RLAM FZCO

Identify Flowers, Trees, weed

Features & Capabilities

PlantBox helps you identify flowers, leaves, fruits, trees, and bark by simply taking a photo. It supports over 40,000 plant species and provides rich encyclopedia information along with expert care tips. Built on AI, it continuously learns from community plant experts to improve accuracy and knowledge.

Upgrade to Premium for unlimited scans and extended plant insights. Subscriptions are available, with a free trial option, and you can review privacy policy and terms for details.

User Growth & Download Statistics

App Education GenAI Photography

By:

RLAM FZCO

Rating:

4.00

(536)

Version:

1.7 Last updated: 2024-04-25

Version code:

865302359

Creation date:

2021-08-18

Compatible devices:

Size:

26.02MB

URLs:

Website ,Privacy policy

Full description:

Source:

Apple Apps Store

Data ingested on:

2026-06-10

Compare stats and ranking:

Ranking

# 81,181 ▲ 9

For Developers

Monetize with App Pass Boost with Extension Booster

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.

Developed by:

RLAM FZCO

Apple Apps Store

https://apps.apple.com/us/app/plant-identifier-care-guide/id1575974620

Website:

https://boxmath.co/privacy_policy.html

User Reviews

Users largely view the app as educational for learning local vegetation, but accuse it of being prohibitively expensive with deceptive billing, and buggy in operation (unreliable identifications and empty results). Several reviews also criticize intrusive startup prompts to rate or buy, which contribute to a negative overall experience. A minority still finds it helpful for plant discovery when it functions.

Pros

Helps users learn about local vegetation and plant types.

Cons

Too expensive / subscription-based; perceived bait-and-switch (advertised free trials, then charges).
App often doesn’t work or identify plants; searches yield no results or fail to load content.
Aggressive UX/prompts to rate or purchase on launch (dark-pattern feel).