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MyBook: books and audiobooks

MyBook: books and audiobooks

Zhivaya Biblioteka OOO

Book免费v6.11.0
App Store
评分

4.8

3,669 条评分

星级

★★★★★

最近更新

2026年4月22日

发布日期

2013年1月6日

更新内容

v6.11.0

Chapter 6.11.0, in which we searched the entire application for bugs and fixed everything we found.

应用信息

开发者
Zhivaya Biblioteka OOO
分类
Book
价格
免费
版本
6.11.0
App ID
556540446

简介

– E-books and audiobooks, including free books – Catalog updated daily – Save books and read offline – Personalized recommendations – Full synchronization between iPhone and iPad – Citations, notes, and reviews – We recommend the best books in search results – Completely legal catalog – all the books' authors receive royalties *Activate your free trial period When you first subscribe, you get a free 14 day trial period. If you agree to sign up for the trial period, we will automatically renew your subscription for one month 24 hours before the trial period ends. In this case, the payment method linked to your iTunes account will be charged the monthly price of your selected subscription. If you do not want to pay for a subscription, you can disable auto-renewal at least 24 hours before the trial period ends. You can disable auto-renewal in your iTunes account settings at any time. If you purchase a subscription during the trial period, the unused time from the trial period will be lost. By signing up for a subscription, you agree to the terms of use and privacy policy. Please familiarize yourself with the following information: https://mybook.me/offer/ https://mybook.me/privacy_policy/ * * * Keep in mind that our app supports iOS 12.0 and all later versions. Check and see if you need to update your operating system. * * * We want to make MyBook the most convenient book app, so we're always glad to hear about your ideas and suggestions. If something isn't working for you, contact us at support@mybook.me See you in MyBook!

下载量预测

专业 · 预览

预估总下载量

272K183K524K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

3K

高 / 月

基于3,669 条评分
假设评分率1.4%
应用年龄163 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。