Lightio turns everyday surroundings into a visual gateway for Islamic learning. Point your camera at a date, a cup, a tree — and instantly receive an authentic Hadith connected to what you see.
Objects & scenes, fully on-device.
No typing, no remembering keywords. Just look, capture, learn.
Open Lightio anywhere — your kitchen, the masjid, the garden. Frame the object you're curious about and tap the shutter.
Lightio runs YOLOX-M locally on your iPhone's Neural Engine. Your image never leaves the device — only the resulting label does, when needed.
Receive an authentic Hadith with the Arabic original, an AI translation (English by default, or the language you pick in Settings), and the narrator's chain. Save favorites, share with friends, revisit history.
Lightio detects a curated set of 80 everyday objects from the COCO vocabulary that frequently appear in the Hadith corpus. Since v1.7, on-device Apple Vision scene classification adds places and landscapes — a garden, a mountain, a body of water — so a meaningful Hadith surfaces even when there's no single object to frame.
Each feature is opt-in. You decide what Lightio does, and what stays private.
Tap a category to switch — there's more in each.
Eight calculation methods covering Muslims worldwide — from the Muslim World League to regional presets for the Gulf, North America, South Asia, Iran (Jafari), and Indonesia.
Times calculated using the widely-trusted Adhan library. No round-trip to a server, no tracking.
We ask for your city, country, coordinates, and time zone exactly once. You can update or revoke it anytime.
Pick Standard or Hanafi — framed as calculation behavior, not madhab identity, so it stays neutral and works for everyone.
From Makkah to Toronto, Jakarta to Istanbul — Lightio picks the right calculation for your latitude automatically.
Lightio defaults to the minimum. Everything beyond core detection — analytics, personalization, cloud sync — requires an explicit opt-in you can revoke at any time.
We pick libraries and licenses with the same care we pick Hadith sources.
State-of-the-art object detector, ~31% smaller than the previous YOLOv7 build. Runs locally on the Apple Neural Engine.
Calculates Fajr, Dhuhr, Asr, Maghrib, and Isha from latitude, longitude, and time zone. Supports Muhammadiyah, Kemenag, and Hanafi rules.
Only the detected object or scene label leaves your device. Summaries are returned in English by default; signed-in users can pick a preferred translation language in Settings, applied to every summary. The Arabic source is always preserved.
A focused product, shipped in small, deliberate updates.
Detection now runs object recognition and scene classification together in a single on-device pass, so Lightio finds a Hadith even when there's no single object to frame.
Translation language is now a clear in-app picker instead of being inferred from a verified phone number — the phone verification flow is gone, and privacy disclosures are tightened to match.
A privacy-hardening release — account-bound features stay behind sign-in, withdrawing consent clears its data, and cloud sync merges instead of overwriting.
Hi, I'm Mohammad Sani Suprayogi (Yogie), and together with my wife Ami, we are the small team behind Lightio. We started this project in Yogyakarta, Indonesia, but built it for the global Ummah — making the rich Hadith tradition accessible to anyone, anywhere, through something as ordinary as a phone camera.
We believe Islamic learning should feel personal, calm, and curious — no matter where you live, what language you speak, or which madhab you follow. Lightio is our small contribution toward that.
hello@yogie.id