Apps Like TasbihTap for iPhone and iPad
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.


NoorTasbih
MUHAMMADFOTEH KAMOLZODA
Count dhikr, track sessions, set reminders
Count dhikr and tasbeeh with a simple, distraction-free counter. Set vibration and sound feedback for each count. Switch between light and dark themes. Use offline without internet connection. No ads or interruptions during zikr sessions.











Miftah: Quran & Prayer Times
Sinan Kanmaz
Read , track , find Qibla direction,
Read Quranic verses with customizable fonts and themes. Track based on location. Receive Adhan reminders and Qibla direction. Access duas, azkar, and Islamic knowledge. Set alarms and view daily Islamic calendar.

Zikirmatik Gerçek - Tespih Çek
Mustafa Yasin Senturk
Count prayers, track dhikr, share rosary
Count prayers and dhikr with a dual tasbeeh counter. Track durood sharifs automatically. View Friday messages and share them. Create salawat chains. Include surahs, sermons, and salawat in your practice. No internet required.


Deen Wise : Hasanat Tracker
SEEFTY LTD
Track Hassanat, read Quran, learn and stay
Track daily actions like prayers, charity, Quran reading, and kindness to accumulate Hassanat. Read the Quran with verse-by-verse navigation and progress tracking. Take quizzes to test knowledge and reinforce learning.

Qissah Stories Your AI Buddy
Baris Bingor
Read, listen, and reflect on Qur’an
Access full Qur’an texts in multiple languages. Read and listen to narrated from the Qur’an. Practice Dhikr with guided sessions. Track prayer times and locations. Use AI companion for personalized insights and explanations.


Tasbih Dhikr Counter ذكر تسبيح
TopOfStack Software Limited
Count zikr, dhikr, and wazifa automatically
Count zikr, wazifa, or dhikr with customizable counters. Track progress for Fatima or other wazifas. Include translations, meanings, and transliterations for each . Auto-count repetitions and display current count. Save and review daily progress.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.