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Flower Language Keyboard DIY

Flower Language Keyboard DIY

Pinal Goti

Graphics & Design免费v3.0
App Store
评分

1.6

14 条评分

星级

★★☆☆☆

最近更新

2024年7月20日

发布日期

2024年7月11日

更新内容

v3.0

- New Templates Added. - Minor Bug Fix.

应用信息

开发者
Pinal Goti
分类
Graphics & Design
价格
免费
版本
3.0
App ID
6523429762

简介

This is an incredible tool that simplifies the process of creating custom flower design wallpapers. With this app, you can choose from a variety of designs, colors, backgrounds, fonts, and more. Say goodbye to boring old wallpapers and set stunning flower-themed of DIY Floral Name app allows you to create personalized flower wallpapers easily, offering numerous customization options. You can even add names to your designs and craft unique bouquets tailored to your preferences. Transform your wallpaper screen like never before with the DIY Floral Name app. FEATURES: Create DIY Floral Name with your choice of name customization Add name into flower bouquet in which every letter represents a different flower design Easy to make stylish name wallpaper as per your choice of customization Create unique bouquets with pretty bows and beautiful wraps Get various templates to create stylish and unique wallpaper Use the keyboard with every letter flower pallets Change background color and designs as per your choice Use the wrapper to enhance the look of flower wallpaper Make more adorable your wrappers with bows, pots, and flowers Add name tag in wallpaper with stylish font styles and colors Easy to save and set as wallpaper your created flower design wallpaper Get benefit of premium usage: No Ads Customization flower wallpaper Premium package are: Flower Language One Week - 6.99 $ Flower Language One Year - 49.99 $ the app offers auto-renewable subscriptions For more information: Privacy Policy - http://sannittech.com/page/privacy_policy.html Terms of use - http://sannittech.com/page/terms_of_use.html

下载量预测

专业 · 预览

预估总下载量

1K7002K
保守估计乐观估计

32

低 / 月

47

预估 / 月

91

高 / 月

基于14 条评分
假设评分率1.4%
应用年龄22 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。