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Gym Workout & Fitness Training

Gym Workout & Fitness Training

Steffen Ruppel

Health & Fitness免费v11.4
App Store
评分

4.6

3,166 条评分

星级

★★★★★

最近更新

2026年5月11日

发布日期

2014年7月25日

更新内容

v11.4

Adjustments and optimizations for iOS 26 New onboarding view Thanks for using Gymnotize! I really appreciate your support and feedback. Let me know how I can improve your fitness journey. Your feedback helps make Gymnotize better for everyone!

应用信息

开发者
Steffen Ruppel
分类
Health & Fitness
价格
免费
版本
11.4
App ID
773676355

简介

You want to reach your fitness goals faster? That’s where Gymnotize and its augmented reality (AR) training tools can help. With dozens of weight-based exercises to choose from, this is a comprehensive training app. It lets you track your repetition count, create customized workouts and graph fitness progress. But it’s the app’s use of AR to show you how to correctly lift weights that really makes it stand out. It’s like having your own personal trainer. WHY IS GYMNOTIZE UNIQUE? • Ingenious 3D fitness animations    help you to adopt the correct    exercise technique. • You can see exactly which    muscle groups are being used    in which exercise.* • Many professional training plans    (including concepts such as: HIT, HST, DC, ...)    help you to make your training effectively.* • Of course, you can also create your    own exercises and training plans.* • The beautiful graphical evaluation    of your training successes helps to    analyze your strengths and weaknesses.* • You can easily create several users    (training partners) and simply switch    between them during the training. • Of course, you can capture separate    body data (such as size, weight,    body fat) for each user. • In addition, Gymnotize is super fast    and easy to use. *Will be unlocked by purchasing    the Pro version. Terms and conditions: https://www.iubenda.com/terms-and-conditions/66284047 Privacy policy: https://www.iubenda.com/privacy-policy/7830878

下载量预测

专业 · 预览

预估总下载量

288K211K452K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

3K

高 / 月

基于3,166 条评分
假设评分率1.1%
应用年龄144 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。