Technical Overview
How Qari AI Works:
AI-Powered Tajweed Correction
Most Quran apps detect mistakes. Very few can explain and correct them at the level of Tajweed. Qari AI uses a multi-layer AI system that analyzes recitation at the phonetic level and applies Tajweed rules in real time.
System Overview
Qari AI processes every recitation in three stages β each optimized for accuracy, speed, and real-time correction:
1
Audio Processing
Raw audio is captured, cleaned, and prepared for analysis.
- Noise reduction and signal cleaning
- Conversion into spectrogram representation
- Feature extraction (MFCC-based acoustic features)
2
Phoneme-Level Analysis
Unlike word-matching apps, Qari AI breaks recitation into individual sound units.
- Recitation segmented into individual phonemes
- Each phoneme aligned with expected Quranic pronunciation
- Subtle articulation deviations detected at sound level
3
Tajweed Rule Classification + Feedback
Each phoneme is evaluated against Tajweed rules and feedback is generated instantly.
- Rule applied correctly or violated β classified immediately
- Articulation compared against expected Makharij
- Specific correction guidance delivered in real time
Why Phoneme-Level Analysis Matters
Word-Level Systems (e.g. Tarteel)
- Detect what word was recited
- Flag if wrong word or sequence
- Miss how each letter was pronounced
- Cannot detect Tajweed violations
Qari AI β Phoneme Level
- Evaluates how each letter sounds
- Detects subtle articulation differences
- Identifies sound-level deviations
- Enables true Tajweed correction
This is what enables true Tajweed correction β Qari AI analyzes how you recite, not just what you recite.
Tajweed Rule Classification
Each phoneme is evaluated against the full set of Tajweed rules. The system determines whether each rule was applied correctly and whether articulation matches the expected Makharij.
Rules Detected
- Ikhfa (partial hiding of Noon)
- Idgham (merging of Noon/Tanween)
- Qalqalah (echo on 5 letters)
- Madd β elongation counts
- Tafkheem / Tarqeeq (heaviness)
- Ghunnah (nasalisation)
Error Types Classified
- Substitution errors (wrong letter sound)
- Weak articulation
- Incorrect emphasis
- Madd length violations
- Missing Qalqalah echo
- Incorrect Makharij position
Makharij (Articulation) Detection
Qari AI explicitly models the articulation points of Arabic letters β detecting when a letter is produced from the wrong physical position in the throat, tongue, or lips.
Ψ ΨΉ ΩΩ
Throat Letters
Ω Ω Ψ± Ψͺ
Tongue Letters
Real-Time Feedback Engine
Once an error is detected, feedback is generated and delivered instantly β giving the user specific correction guidance rather than a generic error flag.
Generic feedback
"Incorrect word"
Qari AI feedback
"Letter 'ΨΉ' mispronounced β deepen throat articulation at mid-point"
Hifz Mode Integration
Qari AI includes a dedicated Hifz (memorization) mode that applies the same phoneme-level Tajweed analysis during memorization sessions β so users improve pronunciation and memorization simultaneously.
Hifz + Tajweed β Simultaneously
- Recite from memory β system tracks accuracy
- Tajweed correction applied during every session
- Spaced repetition reminders for revision
- XP rewards for correct recitation
Hybrid AI Architecture
On-Device Processing
- Low latency β near-instant feedback
- Works in low connectivity
- Privacy-first β audio not stored
Cloud Enhancement
- Deeper analysis for complex rules
- Model updates without app update
- Scalable performance
Training Data
The quality of an AI system depends entirely on what it was trained on. Qari AI is trained on Tajweed-specific data β not general speech recognition data.
Text-aligned training β detects word errors. Tajweed-trained models β detect pronunciation errors. Qari AI is specifically trained to detect Tajweed mistakes at the phonetic level.
Training Sources
- Annotated Tajweed datasets
- Scholar-reviewed recitations
- Error-labelled phonetic samples
Summary
- Audio is captured, cleaned, and converted into acoustic features
- Recitation is broken into individual phonemes
- Each phoneme is evaluated against Tajweed rules and Makharij expectations
- Errors are classified by type β substitution, weak articulation, rule violation
- Specific, actionable feedback is delivered in real time
- Hifz tracking runs simultaneously β memorization and Tajweed corrected together
Qari AI doesn't just detect mistakes β it teaches correct recitation.
Experience It Yourself
Download Qari AI free on Android and see phoneme-level Tajweed correction in action from your very first recitation.
Download Free on Google Play