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Tinglee - Movie TED TV English

Tinglee - Movie TED TV English

亮富 罗

Education免费v4.47
App Store
评分

4.8

756 条评分

星级

★★★★★

最近更新

2026年1月18日

发布日期

2019年12月27日

更新内容

v4.47

Fix the bugs causing the dictionary - lookup failure and app crashing

应用信息

开发者
亮富 罗
分类
Education
价格
免费
版本
4.47
App ID
1486738485

简介

A must for in-depth English learners. Supported subtitle target languages included: Português Deutsch Tiếng Việt Türkçe Italiano język polski limba română Bahasa Melayu Ελληνικά ภาษาไทย 中文 Français Español 한국어 日本語 русский язык فارسی‎ عربي ، Tinglee collects sounds of movies, speeches, news, music, etc. Tinglee's main functions include: 1. Bilingual subtitles 2. High quality acoustic audio 3. Playback speed control 4. Key subtitles markable 5. Multiple repetition modes 6. Synchronous highlighting of new words 7. Dictionary query 8. Subtitle content retrieval 9. and more for you to discover Advanced Features for Pro: · Remove third-party Ads. · Access to pro-only contents. · Transfer media/subtitle files to App to play. · Export subtitles. · Stepless play rate setup. · Marked lines play mode. · Multi-repeat(or Shadowing) play mode. · In-subtitle dictionary look up. · Skipping play mode. · Single line repeat mode. · More useful funtions coming soon. Terms of Subscription Service: · The Pro will be available through all your ios devices that logged in with the same Apple ID. · Payment will be charged to iTunes Account at confirmation of purchase. · Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period. · Account will be charged for renewal within 24-hours prior to the end of the current period. · The user may manage subscriptions & may turn off auto-renewal by going to Account Settings after purchase. Terms of Service: http://www.pollykann.com/termsofservice/tinglee.html Private Policy: http://www.pollykann.com/privacy/tinglee.html

下载量预测

专业 · 预览

预估总下载量

56K38K108K
保守估计乐观估计

485

低 / 月

718

预估 / 月

1K

高 / 月

基于756 条评分
假设评分率1.4%
应用年龄78 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。