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Recipe Keeper - Mr. Cook

Recipe Keeper - Mr. Cook

Flowsen Software UG (haftungsbeschränkt)

Food & Drink免费v1.17.0Android
Google Play
评分

3.9

195 条评分

星级

★★★★☆

最近更新

2026年4月29日

发布日期

2023年9月17日

更新内容

v1.17.0

Tired of losing track of your recipes?<br><br>Mr. Cook makes it easy to digitize, organize, and generate recipes all in one app.<br><br>What’s new:<br>- Better recipe organization<br>- Smarter AI to help you cook<br>- Bug fixes and performance improvements<br><br>Thanks for using Mr. Cook — happy cooking!

应用信息

开发者
Flowsen Software UG (haftungsbeschränkt)
分类
Food & Drink
价格
免费
版本
1.17.0
安装量
10,000+
包名
app.mrcook.twa

简介

Never lose a recipe again. Mr. Cook is your AI-powered kitchen companion that saves, organizes, and brings all your recipes together. ⬇️ SAVE RECIPES FROM ANYWHERE • Save social media recipes with one tap • Import recipes from 400+ cooking websites instantly • Scan handwritten family recipes in seconds • Store everything in your personal digital cookbook • Never lose a recipe again ✨ CREATE WITH AI • Generate recipes from ingredients you already have • Get personalized suggestions for your dietary needs • Perfect for allergies, restrictions, and preferences • Turn "what's in my fridge?" into dinner 📖 ORGANIZE YOUR COLLECTION • Beautiful, searchable digital cookbook • Powerful filters to find any recipe instantly • Smart categories and tags • Edit and customize every recipe • Access from any device with secure cloud backup 📅 PLAN MEALS EFFORTLESSLY • Weekly meal planner in 2 minutes • Auto-generated shopping lists • Share meal plans with family • Save time and reduce food waste 💚 COOK TOGETHER AS A FAMILY • Create shared family cookbooks • Share recipes instantly with loved ones • Preserve family cooking traditions • Always stay in sync 🌍 WORKS EVERYWHERE YOU DO • iPhone, iPad, and web access • Automatic cloud sync • Your recipes, available anytime Download free today!

下载量预测

专业 · 预览

预估总下载量

14K10K28K
保守估计乐观估计

305

低 / 月

451

预估 / 月

871

高 / 月

基于195 条评分
假设评分率1.4%
应用年龄32 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。