Abjad comparison
Two texts, 29 named operations and transparent regional values. Export an exact record.
Compare texts ↗Research tools · language · discovery
Compare Arabic texts, examine numerical patterns, keep a research notebook and explore how ideas meet evidence. Start with tools you can use now, then discover the machine-learning tools we’re building next.
Browser tools available now · advanced AI research tools in development.
Available now · use the tools
Two texts, 29 named operations and transparent regional values. Export an exact record.
Compare texts ↗Keep questions, sources, hypotheses and observations together on your browser.
Start an inquiry ↗Compare a verse in two English editions, explore nine calendars and plan study.
Compare translations ↗The Qur’an is the starting point for a wider research workspace: language, sources, wordplay, numbers, patterns and meaning. We are adapting useful study and experimental workflows from TorahML around Qur’anic Arabic, Islamic sources and the questions of Muslim readers.
Interpretation & reading lenses
Search by concepts & questions
Roots, relationships & passages
Letter patterns & hypotheses
Numerical profiles & chance comparisons
Editions, citations & context
Evidence packets & study records
Predictions, controls & counterexamples
These names describe planned tools and research directions. Availability will be shown individually as work is released; no release dates are announced. Experimental methods will need their own sources, evaluation and stated limits.
See the process in practice
Follow a question from a Qur’anic reference to published astronomical values, a calculation you can repeat, and an observation plan.
Follow the worked example ↗Choose your path
Methods, comparisons and a record of your inquiry.
Start researching ↗Source-attributed reading and questions about meaning.
Start studying ↗A short introduction and a concrete worked example.
Take a first look ↗Why we build these tools
We begin with faith in Allah’s guidance and a desire to understand His creation. QuranML brings source-led study, language, context and natural science into a research process that welcomes careful questions and correction.
Read our purpose ↗ · See why context matters ↗ · Understand our evidence labels ↗
Language carries more than its literal wording
In an affectionate Persian exchange, it can. Our purpose page uses Persian, Arabic and English examples to explore how losing context can turn tenderness, emphasis or a good wish into a dangerous misunderstanding.
Available in this Alpha
Source-attributed Al-Fatihah, 29 Abjad methods, nine calendar converters and private browser study notes.
QuranML is a research workspace for exploring Qur’anic language, numerical patterns, sources and testable questions. Use the browser tools available now and preview the broader machine-learning programme.
Compare two texts across 29 Abjad methods, keep a browser-local research notebook, compare one verse in two English editions, or convert nine calendars and export personal study events. The Al-Fatihah reader includes attributed sources, appearance settings, bookmarks and verse notes.
The catalogue contains 105 planned tool and method names. Availability will be shown individually as work is released. The current Alpha offers Al-Fatihah, browser study notes, Abjad, a comparison workspace, a research notebook, a one-verse translation comparison and nine calendar converters with personal study-event export.
May our search for understanding be guided by humility.
Read our purpose ↗