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Learn Thai Language Beginners

Learn Thai Language Beginners

Ali Umer

Education免费v7.10
App Store
评分

4.7

27 条评分

星级

★★★★★

最近更新

2026年3月19日

发布日期

2022年10月7日

更新内容

v7.10

- Bug fixes and stability improvements.

应用信息

开发者
Ali Umer
分类
Education
价格
免费
版本
7.10
App ID
6443715852

简介

Learning Thai with confidence using the most comprehensive and user-friendly app for beginners, travelers, and language lovers. Learn Thai Language offers a step-by-step course with over 8000 words and phrases, 200+ topics, and 23 structured chapters—perfect for building fluency from the ground up. Why You'll Love It: Complete Learning Journey Start with the Thai alphabet and grammar, then move to real-life scenarios and advanced conversations. 6 Different Quiz Modes Learn with interactive quizzes: reading, listening, true/false, and more. Native Pronunciations Every word and phrase spoken clearly by native Thai speakers. Offline Learning Study anywhere, anytime—no internet needed. Track Your Growth Monitor your stats, review with flashcards, and stay motivated. The 23 Chapters You'll Master: 1) Everyday Basics 2) Social Expressions 3) Getting Around 4) At Home 5) Food & Eating 6) School & Education 7) Travel & Transport 8) Managing Money 9) Health & Medical 10) Traditions & Culture 11) Daily Activities 12) Shopping & Cooking 13) Free Time & Entertainment 14) Banking & Finance 15) Well-being & Self-care 16) Personal Hygiene & Grooming 17) Vacations & Sightseeing 18) Mail & Packages 19) Eating Out 20) Digital Life 21) Conversations & Connections 22) Cleaning & Housework 23) Learning & Studying Perfect For: +First-time learners +Travelers visiting Thailand +Anyone passionate about languages +Students and professionals looking to communicate better Download Learn Thai Language now and begin your journey to speaking confidently and naturally. Trusted by learners worldwide for fast, immersive, and effective language mastery. Privacy Policy: https://owlspeak.web.app/privacy Terms of Use: https://owlspeak.web.app/terms

下载量预测

专业 · 预览

预估总下载量

2K1K4K
保守估计乐观估计

31

低 / 月

45

预估 / 月

88

高 / 月

基于27 条评分
假设评分率1.4%
应用年龄44 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。