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Stotra Lahari

Stotra Lahari

ram mohan kanuganti

Education免费v231.0.0
App Store
评分

4.9

1,265 条评分

星级

★★★★★

最近更新

2026年4月20日

发布日期

2012年11月14日

更新内容

v231.0.0

Bug Fix

应用信息

开发者
ram mohan kanuganti
分类
Education
价格
免费
版本
231.0.0
App ID
578476402

简介

An All In One Gateway To Sanathana Dharma Car play feature, Added Sankshepa Ramayan in Learning session slokas, Fixed the order of the divyaprabandham, Minor enhancements Added Language Selection for Slokas Crash Fix added new panchangam calendar added new discourses Added Calendar panchangam notifications added Enhancements Divya Prabandam 4th Ayram Bhagavad Geeta script updated Added Bhajnas Divya Prabandam Valmiki Ramayanam all slokas ( 24,000) script Vishnu puranam added script for many slokas. kannada script. The Stotra Lahari app is intended for everyone to make their lives more peaceful, joyful, be a good person in life, and increase well-being of people. Learn/listen to character-developing Slokas(Prayer is the panacea of all the good, it enriches the inner divine qualities and elevates them to higher altitudes and makes man more perfect in all his endeavors. It removes inner problems like strain, stress, ego and so on.)/Sloka Learning Sessions/(To develop love towards God and everyone)/Bhajans, and so much more while in commute or at home. You are always a 'click ' away from divine spiritual world. Online/Offline - All files are compressed and available online/offline. We have a offline feature that easily shows downloaded files and filesizes. The slokas are in English, Telugu, Devanagari(Hindi), and Kannada. We have slokas such as the bhagavad gita, aditya hrudayam, sundarakanda, tiruppavai, etc. The discourses . Discourses such as the Bhagavad Gita, About Vedas, Sri Ramayanam, Upanaishads, Core Features - Trackplayer has autoplay, timer, and more. Playlist feature for selecting your favorite content. horizontal sliding, and more. Notifications for events, calendar and more.

下载量预测

专业 · 预览

预估总下载量

94K63K181K
保守估计乐观估计

386

低 / 月

571

预估 / 月

1K

高 / 月

基于1,265 条评分
假设评分率1.4%
应用年龄164 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。