36.2134, Software: Qsoft and QSoft4dBlind as free data mining quran software

[The LINGUIST List]

LINGUIST List: Vol-36-2134. Thu Jul 10 2025. ISSN: 1069 - 4875.

Subject: 36.2134, Software: Qsoft and QSoft4dBlind as free data mining quran software

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Date: 09-Jul-2025
From: adhia nugraha [adhianugrah4 at gmail.com]
Subject: Qsoft and QSoft4dBlind as free data mining quran software


Software Title: QSoft4dBlind (Qur’anic Smart Open Framework Tool –
Blind Edition)
Developer/Submitter:
Yayasan Literasi Data Al-Qur’an (YLDQ)
Primary Developer: Budi Pracoyo
Contributor & Public Liaison: elraqsoft
Documentation & Conceptual Partner: ChatGPT (OpenAI-assisted)
License:
Free for non-commercial use.
(Recommended: Creative Commons BY-NC-SA 4.0 or GNU GPL for open
academic distribution)
URL / Repository:
Available by request to YLDQ or via https://www.yldq.org
(Contact: elraqsoft at gmail.com)
Software Description:
QSoft4dBlind is a *data-centric Qur’anic learning and analysis
software* developed specifically for visually impaired learners,
offering fully accessible navigation, content analysis, and
multilingual Qur’anic data layers. First developed in 2016, the tool
reflects a significant breakthrough in inclusive linguistics and
Islamic digital humanities, allowing deep access to the Qur’an’s
textual, morphological, and thematic layers for both research and
memorization.
The software is built on MS Access architecture, ensuring
compatibility with assistive screen readers like JAWS and NVDA. It
features keyboard-only navigation, adaptive content reading, and 29
functional data fields that support tasks ranging from verse search
and root repetition tracking to multilingual translation and tafsir
reference.
Key Features:
29-Field Integrated Qur’anic Database
Each verse is enriched with layered data including:
* Arabic text (with/without ḥarakāt)
* Latin transliteration
* Indonesian & English translations
* Dual tafsir: Al-Muntakhab & Jalalayn
* Asbāb al-Nuzūl references
* Thematic tags (mawḍūʿī)
* Structural info: surah names, verse numbers, location of revelation,
fawātiḥ, juz indexes
* Repetition analytics and frequency statistics
Audio-Synced Qur’anic Recitation
* Choose from multiple world-renowned qurrā’
* Mute/play control integrated into keyboard shortcuts
* Murottal synchronized with screen reader output
Fully Accessible Keyboard Navigation
* Over 32 custom shortcuts (e.g. `Ctrl + Caps Lock + R` to read
results)
* Designed for blind users without requiring a mouse
* Compatible with Arabic and Latin keyboard modes
Multilingual and Multi-Modal Output
* Translations: Ministry of Religion (ID) and Sahih International (EN)
* Screen reader–readable outputs
* User notes, bookmarks, checklist for memorization tracking
Verse Repetition and Fawātiḥ Analytics
* Automatically detects repeated ayahs
* Tracks fawātiḥ letters across 29 surahs
* Useful for Qur’anic stylistics and memorization methodology
Educational Utility
* Enables blind students to memorize, interpret, and explore Al-Qur’an
independently
* Supports personalized, deep-diving Qur’anic learning at pesantren,
madrasah, and universities
* Printable and exportable datasets for teachers
Use Cases:
* Inclusive pedagogy for Qur’anic studies in special-needs education
* Comparative linguistics and concordance research for classical
Arabic
* Theme-based tafsir studies and memorization efficiency tools
* Root frequency analysis for semantic patterning
* Personal Quran journaling and learning reflection with checklist
support
Assistive Technology Compatibility:
JAWS (Job Access With Speech)
NVDA (NonVisual Desktop Access)
Compatible with Arabic screen reader voices
Structured for clear audio feedback across all fields
Technical Architecture:
* Platform: Microsoft Access (.mdb)
* Storage Structure: Indexed multi-field database
* Navigation: Tab/Shift-Tab logic, with full cursor control
* Processing: Built-in caching, rapid query performance
* Deployment: Portable file with no installation required (can run
from USB stick)
Impact and Social Value:
> “QSoft4dBlind bridges the digital divide in Qur’anic learning for
visually impaired Muslims.”
> It enables independent engagement with the Qur’an—no longer
requiring volunteers to read or guide, thus respecting dignity and
agency.
Citations and References:
* NVDA Documentation: https://www.nvaccess.org/about-nvda
* JAWS Features: https://www.freedomscientific.com
* Inclusive Tech Reviews: https://accessibe.com/glossary/jaws
* Teaching Visually Impaired: https://www.teachingvisuallyimpaired.com
* Internal Field Analysis: See full manual or ELRA training
documentation
Contact & Collaboration:
Email: [elraqsoft at gmail.com](mailto:elraqsoft at gmail.com)
Instagram: [@qsoft.id](https://instagram.com/qsoft.id)
FB: qsoftcommunity at https://www.facebook.com/qsoft.data/
For training, workshops, or implementation in pesantren or educational
institutions, please reach out.

Linguistic Field(s): Computational Linguistics
                     Discourse Analysis
                     Forensic Linguistics

Subject Language(s): Arabic (ara)
                     English (eng)
                     Indonesian (ind)




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LINGUIST List: Vol-36-2134
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