Balaban Namaz Vakitleri provides users with Islamic prayer times based on data from the Diyanet İşleri Başkanlığı for Turkey and Aladhan for global calculations. The tool is designed to offer reliable prayer schedules for all provinces and districts in Turkey, positioning itself as a resource for those seeking accurate namaz (prayer) times.
The platform includes features such as customizable calculation settings, options to select country, province, and district, and the ability to choose between dark and light appearance modes. Users can also configure the call to prayer (ezan) settings, including selecting the muezzin voice, adjusting volume, and opting for separate calls for morning prayers. Audio options include voices from Diyanet (Turkey) and Mishary Rashid Alafasy (Kuwait), with dedicated controls for playing the call to prayer, morning prayer, and related supplications.
Balaban Namaz Vakitleri is accessible through multiple delivery channels: it is available as a web platform, a browser extension listed on the Chrome Web Store, and as mobile applications on both Google Play and the App Store. The service also provides a support center and frequently asked questions section for user assistance. Cookie usage is disclosed, with options for users to manage their preferences regarding site functionality and analytics.
The tool is intended for individuals seeking prayer time information, particularly those in Turkey, but also accommodates a global audience through its alternative data source.
Balaban Namaz Vakitleri sits in PulseGate's Bibles & scripture category. Easily tracking daily Islamic prayer times with accurate, location-based notifications. It is built as a consumer product for muslims observing daily prayers. Balaban Namaz Vakitleri costs nothing to use. Balaban Namaz Vakitleri is available on the web and embeddable surfaces.
Eyüp Can Balaban builds and maintains Balaban Namaz Vakitleri, and it first shipped in 2026. Among its 5 catalogued features are prayer time tracking, live countdown, and location selection.
Summary written by a language model from the project’s public pages.
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