1.0
1 条评分
★☆☆☆☆
2018年5月28日
2011年4月20日
更新内容
v7.4.28This update from Apple will improve the functionality of this app. No new features are included. Performance and stability improvements, as well as iPhone X support. We would like to say thank you for your valuable feedback so that we can improve the application. We encourage everybody to send us your opinions about the application to help us create the best travel app for you.
应用信息
- 开发者
- PocketGuide Inc.
- 分类
- Travel
- 价格
- 免费
- 版本
- 7.4.28
- App ID
- 432313854
简介
Would you like to visit major financial landmarks and Dickens’ favorite taverns? Would you like to get to know Bloomsbury’s verdant squares and beautiful residential housing or discover classic pre-war department stores? Hungry and curious about the city’s pub scene? Watch for the riverside pubs that allow for convenient pit-stops for food and drink along the way and the rooftop restaurants that cater to today’s cosmopolitan tastes. PocketGuide, the world’s leading audio city guide application, reveals the best stories, insider hangouts and must-see sights. PocketGuide turns your mobile device into a personal tour guide: The GPS figures out where you are, and a voice recording, made by a local guide, describes the sights around you. You don’t need to read text from your phone, just listen and enjoy a city’s attractions while your virtual tour guide explains it all and shares personal insights. PocketGuide works offline, so you save on roaming charges, and it includes an offline map and loads of critical reviews that help you decide where to eat, drink and shop. We also have fascinating themed tours, for those who want to go off the beaten path. Find the top tapas in Barcelona, get chic in NYC’s East Village or follow the trail of a 19th century serial killer in London. Whether you're interested in the main sights or "the road less traveled", PocketGuide is ready to take you there. Please note that continuous use of GPS running in the background can dramatically decrease battery life.
下载量预测
预估总下载量
0
低 / 月
0
预估 / 月
1
高 / 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。
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