Qiraa chatbot
Planned grounded answers using Qur’an, hadith, tafsir, dua, metadata, references, and structured retrieval.
Qiraa Corpus
Where Every Verse Speaks
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
اللَّهُ لَا إِلَٰهَ إِلَّا هُوَ الْحَيُّ الْقَيُّومُ
Uthmani · Hafs · Kufan verse system
All automated checks passed
Reference resolution, token spans, source metadata, and release hash verified.
Planned Qiraa Integration
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.
Planned grounded answers using Qur’an, hadith, tafsir, dua, metadata, references, and structured retrieval.
Designed to let users view Qur’an, hadith, duas, translations, tafsir, and listen to connected recitations or narrated content.
Being designed to match audio snippets against reciter fingerprints, known styles, and verified recitation metadata.
Planned detection for maqam-like patterns, pacing, recitation style, delivery traits, and similarity to known reciters.
Future matching for reciters with similar tone, rhythm, pacing, pronunciation profile, and emotional delivery.
Planned support for Tarteel-style recitation features, plus tajweed detection, correction guidance, and structured feedback.
A future training layer for pronunciation, pacing, breath control, tajweed accuracy, and practising toward a target reading style or sheikh-like delivery.
How It Will Work
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.
Contributors, reviewers, scholars, and administrators will sign in with role-based permissions and full audit tracking.
Users will be able to inspect raw source data where required and work through lists of unsegmented items that need clean structured segmentation.
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
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.
Review Principles
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.
Unsegmented raw data will appear as task lists. Users will split, label, align, or structure the material into reviewable pieces.
Smaller items will require three separate individuals to review and approve before the ticket can move forward.
Larger items will be split into chunks reviewed by nine separate people, followed by three separate final reviewers.
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.
Rollout Plan
The corpus will start as Qiraa’s internal intelligence layer, then move through scholar-led validation, controlled developer access, and future consumer availability.
Develop the corpus layer for the chatbot, reader, sheikh identifier, reading-style identifier, similar sheikh matching, tajweed correction, and vocal training.
Begin selected masjid and scholar deployments for trusted review, validation, correction workflows, and real-world testing.
Allow selected developers to test corpus search, references, audio matching, and validation endpoints through controlled Qiraa APIs.
Open a polished public-facing corpus experience for free browsing, learning, recitation support, trusted discovery, and future Islamic technology creation.
Private beta
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.