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MorseZapp - Learn Morse Code

MorseZapp - Learn Morse Code

BARRY VELASQUEZ

Games免费v1.08
App Store
评分

4.0

75 条评分

星级

★★★★☆

最近更新

2020年6月1日

发布日期

2018年8月4日

更新内容

v1.08

* Fixes and improvements.

应用信息

开发者
BARRY VELASQUEZ
分类
Games
价格
免费
版本
1.08
App ID
1397107048

简介

MorseZapp is a great way to learn morse code. It's a fun and unique CW trainer of International Morse Code. Each level challenges you to learn the correct sequence of dits and dashes to zap the letter before it hits the bottom of the screen. Great for learning morse code for amateur radio, ham radio, military, or just tapping out a message to your friends. You tap the dit and dash sequence on the tap pad at the bottom of the screen to create the correct letter. Tap fast for a dit, and hold a little longer for a dash. Sound hints and visual clues help you with beginner levels, showing you the sequence for the letter that is up and playing the sound for that letter to help you recognize it both visually and with audio. Levels help you get the timing right, and each level progressively gets faster to work on your speed and to challenge you. Sound only levels make you listen to the dit and dash sequence and then choose the correct letter from a list before it hits the bottom. This helps with sound recognition. * Free to try with the Free Package and Levels. Packages and levels will be improving all the time and we will be adding new packages based on user feedback to challenge you and help you learn morse code / cw faster. You can also create your own package and levels, and share these with others. Have an idea or suggestion? We are always happy to receive feedback, ideas, word lists that you think would make the game better and help you learn. Just contact us and we'll see about adding your word list to our list of packages. Privacy Policy: https://tahelpya.com/privacy ToS: https://www.tahelpya.com/morsezapp-terms-of-service

下载量预测

专业 · 预览

预估总下载量

4K3K8K
保守估计乐观估计

26

低 / 月

39

预估 / 月

79

高 / 月

基于75 条评分
假设评分率2.0%
应用年龄95 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。