Qiraa Corpus

Where Every Verse Speaks

Built by developers. Perfected by scholars.

The knowledge engine behind the future of Qiraa.

Qiraa Corpus is being built to become the most deeply segmented Islamic database: a free-to-use foundation for Qiraa’s future chatbot, reader, recitation intelligence, validation workflows, developer APIs, and public corpus experience.

In build

Qiraa foundation

Reviewed

Scholar-led path

Phased

Controlled rollout

Surah Al-Baqarah

q:hafs:uthmani:kufan:2:255

Stable

اللَّهُ لَا إِلَٰهَ إِلَّا هُوَ الْحَيُّ الْقَيُّومُ

Uthmani · Hafs · Kufan verse system

Token view
اللَّهُ لَا إِلَٰهَ إِلَّا
Grapheme map
Raw formverified
Normalized rasmmatched
Span model[start, end)

All automated checks passed

Reference resolution, token spans, source metadata, and release hash verified.

Planned Qiraa Integration

The most segmented Islamic database, built for what comes next.

Qiraa Corpus is not just a dataset. It is being designed as a highly segmented Islamic knowledge layer that can expand Islamic technological use cases, empower new products, and support the full Qiraa app experience as development progresses.

Qiraa chatbot

Planned grounded answers using Qur’an, hadith, tafsir, dua, metadata, references, and structured retrieval.

Reader experience

Designed to let users view Qur’an, hadith, duas, translations, tafsir, and listen to connected recitations or narrated content.

Sheikh identifier

Being designed to match audio snippets against reciter fingerprints, known styles, and verified recitation metadata.

Reading style identifier

Planned detection for maqam-like patterns, pacing, recitation style, delivery traits, and similarity to known reciters.

Similar sheikh matching

Future matching for reciters with similar tone, rhythm, pacing, pronunciation profile, and emotional delivery.

Tajweed detection

Planned support for Tarteel-style recitation features, plus tajweed detection, correction guidance, and structured feedback.

Vocal training and mimicry

A future training layer for pronunciation, pacing, breath control, tajweed accuracy, and practising toward a target reading style or sheikh-like delivery.

View roadmap

How It Will Work

Built to expand Islamic technology. Verified by people of knowledge.

Approved users will sign in, inspect raw data where needed, segment unprocessed material, review pending tasks, and move validated work toward the next database compilation, helping create a database precise enough for new Islamic tools, apps, and research.

Account-based access

Contributors, reviewers, scholars, and administrators will sign in with role-based permissions and full audit tracking.

Raw data and segmentation tasks

Users will be able to inspect raw source data where required and work through lists of unsegmented items that need clean structured segmentation.

Independent review chains

Each stage introduces a new person of knowledge. Writers and previous reviewers will not be able to approve the same ticket again unless a mistake dispute is opened.

Validation ticket

segmentation · hadith/raw-source/0421

Review queue

Small ticket

3 independent reviews

No writer self-review

Large ticket

9 chunk reviews + 3 final reviews

All reviewers separate

Approval rule

Once the required independent reviews pass, the ticket moves to approved status and becomes ready for the next database compilation cycle.

Writer excluded from review Required
Previous reviewers excluded Required
Final compilation review Pending

Review Principles

Free to use. Precise by design. Built for the Ummah.

Every ticket is designed to move through independent contributors, reviewers, final reviewers, and database compilation checks before becoming part of a free, trusted, highly segmented Islamic corpus.

01

Segmenting tasks

Unsegmented raw data will appear as task lists. Users will split, label, align, or structure the material into reviewable pieces.

03

Small-piece review

Smaller items will require three separate individuals to review and approve before the ticket can move forward.

09

Large-piece review

Larger items will be split into chunks reviewed by nine separate people, followed by three separate final reviewers.

Compilation gate

Approved tickets will wait for the next database compilation. During compilation, final reviews will be completed by new eligible reviewers who were not writers or previous reviewers on the ticket.

Approved ticket
Compilation review
Next corpus build

Rollout Plan

From private build to trusted public access.

The corpus will start as Qiraa’s internal intelligence layer, then move through scholar-led validation, controlled developer access, and future consumer availability.

1

Qiraa app integration

Develop the corpus layer for the chatbot, reader, sheikh identifier, reading-style identifier, similar sheikh matching, tajweed correction, and vocal training.

2

Masjid and scholar validation

Begin selected masjid and scholar deployments for trusted review, validation, correction workflows, and real-world testing.

3

Developer API access

Allow selected developers to test corpus search, references, audio matching, and validation endpoints through controlled Qiraa APIs.

4

Consumer access

Open a polished public-facing corpus experience for free browsing, learning, recitation support, trusted discovery, and future Islamic technology creation.

Private beta

Open for benefit. Structured for innovation. Safeguarded by scholarship.

Qiraa Corpus will move from internal development to scholar and masjid validation, then controlled API access, before opening as a free-to-use resource for consumers and builders.