The Holy Quran, in one API.
More than 360 Quran editions and 270 text versions in Uthmanic script, with a layout that matches the printed Masahif.
AI for Islamic Knowledge
Islamic knowledge. Verified at its source.
AI that understands the text and its context, and passes it on faithfully.
A closer look
What it gives a builder and a researcher
For developers: Quranic text, recitation and translation. For researchers: research backed by sources.
Recitation in sync, word by word.
More than 354,000 audio files in the voices of 34 reciters across the major Riwayat. Each word lights up as it is recited.
Recitation correction, during recitation.
The Nabr model API catches Tajweed errors in every sound, the moment they happen.
Search every source, at once.
Tbyaan searches the Quran, Hadith and Tafseer together, and writes a draft from the classical sources, ready for scholarly review.
Operational outcomes
What changes when the model is built on the sources themselves?
01
You build your app, not its infrastructure.
We take care of the scattered data and the legacy APIs, so your effort goes into what's specific to your project.
02
Research time goes to analysis.
Cross-checking sources by hand is what disappears. The scholarship stays with the researcher.
03
Recitation correction, without building a model.
Add Tajweed-aware correction to your app, without building a speech model from scratch.
Products
Two products. One foundation.
Qurani.ai is a single API for Quranic text, recitation and translation. Tbyaan is Islamic research backed by sources. Both are built on Kawn models.
Built on Kawn models
Deployment options
Three ways to reach it.
Through the Qurani.ai API, as an MCP server inside your agents, or on your organisation's servers.
03
On-premises
The models run on your own servers, when your organisation requires it.
01
Qurani.ai API
The developer interface for Quranic data, semantic search and recitation correction.
Qurani.ai02
MCP server
Connect it to your AI coding tools, and describe what you want to build in your own words.
Why Misraj
Why models built for Islamic knowledge?
Islamic texts have their own language and context. So we built them their own models: for retrieval, for recitation, and for sourced research.
Generic toolMisraj models
- 01
Trained on the Islamic texts themselves.
Kawn Embed Islamic was trained on Islamic Q&A, Tafseer and Hadith, so it understands the religious context, not just the keywords.
Generic toolKeywords onlyKawnUnderstands the religious context - 02
Tajweed is an acoustic problem, not a text one
Nabr analyses eight acoustic properties in every recording, among them elongation, nasal resonance and emphasis. These are what general speech models miss.
Generic toolA text problemNabrAn acoustic problem - 03
Sourced output, not output that sounds trustworthy.
The source comes with every line. Trust comes from verification, not from polished wording.
Generic toolOutput that sounds trustworthyTbyaanThe source with every line
Get started
Deploy AI for Islamic Knowledge
Tell us the problem. We will tell you honestly whether this is the right answer, and what it takes to deploy.