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Vont - Text on Videos

Vont - Text on Videos

youthhr

Photo & Video免费v1.6.56
App Store
评分

4.6

16,903 条评分

星级

★★★★★

最近更新

2026年5月3日

发布日期

2014年4月25日

更新内容

v1.6.56

Bug fixes and performance improvements.

应用信息

开发者
youthhr
分类
Photo & Video
价格
免费
版本
1.6.56
App ID
857842841

简介

Vont is a simple app that allows you to add text to videos. ・ More than 400 fonts are available. ・ You can install other fonts. ・ Text size is changeable. ・ Text color is changeable. ・ Text gradient is changeable. ・ Text's stroke color is changeable. ・ Text's shadow color is changeable. ・ Text's background color is changeable. ・ Text is rotatable. ・ Text kerning is changeable. ・ Line spacing is changeable. ・ Curved text ・ URL scheme: vont:// Try Phonto app, if you want to add text to photos. Phonto is a free app that is available on the App Store. -------------------------------- LANGUAGE -------------------------------- Vont supports only English (US), Chinese and Japanese, so when the priority of Chinese (or Japanese) in your setting was higher than English, Vont would be launched as Chinese (or Japanese) mode. To solve this problem… 1. Open the Settings app. 2. Choose 'English' in 'General' > 'Language & Region' > 'iPhone Language'. 3. Turn back your 'iPhone Language' to your favorite language. -------------------------------- HOW TO INSTALL FONTS -------------------------------- Using iTunes, you can copy font files between your computer and Vont on your iOS device. 1. Select your iOS device from the Devices section of iTunes. 2. Click the Apps tab and scroll down to the bottom of the page. 3. Select "Vont" in the "File Sharing" section. 4. Drag and drop .ttf or .otf font files into "Documents". 5. Restart Vont. More detail about how to install fonts. https://vont.phon.to/install_fonts - Using videos below as screenshots http://www.videezy.com/nature/180-red-flowers http://www.videezy.com/abstract/160-roadtrip-abstract-stock-video

下载量预测

专业 · 预览

预估总下载量

1.2M845K2.1M
保守估计乐观估计

6K

低 / 月

8K

预估 / 月

14K

高 / 月

基于16,903 条评分
假设评分率1.4%
应用年龄147 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。