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Welmi - Calorie Counter & Diet

Welmi - Calorie Counter & Diet

T-SHAPED APPS LTD

Health & Fitness免费v3.8Android
Google Play
评分

4.7

84,653 条评分

星级

★★★★★

最近更新

2026年5月15日

发布日期

2025年8月9日

更新内容

v3.8

The app now tracks your daily streak with Welmi. Every day adds one more to your streak. Watch it grow and don&#39;t let it break —<br> it&#39;s a great way to stay in rhythm and turn taking care of yourself into a habit.

应用信息

开发者
T-SHAPED APPS LTD
分类
Health & Fitness
价格
免费
版本
3.8
安装量
500,000+
包名
welmi.ai.android

简介

We created Welmi App to help you reach your weight goals in the most comfortable way possible — no stressful fasting, extreme diets, or exhausting workouts, but gently forming conscious food habits and adjusting your nutrition. Our mission is to be a personal nutritionist for everyone — not just a calorie counter, but a true companion to help you achieve your dream shape and maintain healthy eating habits. Snap your meals, and we’ll gently guide you toward your fitness goals! App features we crafted for you: – Food & calorie scanner Simply snap a photo of your meal, and the app will instantly log all its details. – Personalized nutrition recommendations Optimize your diet to feel more energetic. Discover your ideal meal sizes, food types, and the best eating schedule. – Eating reminders We’ll notify you when it’s the right time for a healthy meal. – Macronutrient counter Track your carbs, proteins, and fats with just a picture of your food. – Daily streaks Challenge yourself to eat healthy every day and beat your personal record! *Analysis results require a subscription Your healthy companions, Welmi Team If you have any ideas or questions, please email us at support@welmi.ai Note: We do not offer medical advice. Any and all recommendations should be viewed as suggestions, please consult with a professional and do your own research before trying a new calorie and nutrient plan.

下载量预测

专业 · 预览

预估总下载量

7.7M5.6M12.1M
保守估计乐观估计

627K

低 / 月

855K

预估 / 月

1.3M

高 / 月

基于84,653 条评分
假设评分率1.1%
应用年龄9 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。