Qur’an Explorer · The unified platform

Study the text. Hear the recitation. See the relationships.

Qur’an Explorer brings Sedrah AI’s grounded question answering, recitation feedback, and evidence-linked visualizations into one study environment. Every path leads back to the Arabic text, its source, and the limits of what the system can claim.

Interactive prototype Locally hosted AI models Evidence before explanation

Platform features

One study journey, several ways in.

Search, audio, visualization, and progress tracking are different views over the same source material—not disconnected tools.

01 · Ask

Grounded answers and semantic search

Ask in Arabic or English, search by meaning, or enter a verse reference. Retrieved āyāt appear before AI-assisted commentary so the source can be inspected directly.

02 · Listen

Word-by-word recitation feedback

Compare a learner’s recording with a reference recitation, inspect word timing, and identify where pronunciation needs attention.

03 · Read

Word-synchronized Muṣḥaf

Follow a page as each word is recited, replay an individual word, or hide the text for memory practice.

04 · Explore

Relationships with inspectable evidence

Move from a broad textual pattern to the exact verses behind it, while keeping computation, translation, and commentary visibly separate.

05 · Improve

Personal study progress

Review recitation attempts, pronunciation scores, studied āyāt, and improvement over time in a private learner history.

Overall architecture

A clear front door to specialized services.

The browser talks to one gateway. Behind it, independently deployable services handle content, retrieval, generation, speech, Tajweed, and learner accounts.

Experience
Qur’an ExplorerSearch · visualizations · Muṣḥaf · recitation · progress
Front door
Gateway servicePublic API, authentication boundary, and web application
Text

Content

Surahs, āyāt, Tafsīr, audio, and Muṣḥaf layout.

Search

Retrieval

Exact references, word counts, and multilingual semantic search.

Language

Generation

AI-assisted commentary constrained by retrieved evidence.

Speech

Pronunciation

Streaming transcription, alignment, and word-level feedback.

Phonetics

Tajweed

Recitation embeddings compared with a reviewed reference index.

Private data

Accounts

Sign-in, attempts, study history, and progress summaries.

PostgresContent and account data remain in service-owned databases.
Vector indexSemantic verse retrieval and phonetic matching use purpose-built indexes.
Local model runtimeLanguage and speech models can run on platform-controlled infrastructure.

A typical question flows from Explorer → Gateway → Retrieval → Generation, then returns with verse citations. A recitation streams through Gateway → Pronunciation or Tajweed and returns aligned, word-level results. No service reaches into another service’s database.

Visualization examples

Features become useful when evidence stays close.

Each view answers a different study question and lets the learner move from overview to detail.

Available now · Research prototype

Surah Al-Baqarah semantic map

Explore all 286 verses through t-SNE or PCA, filter six experimental thematic classes, reveal the anchor verses, and inspect the Arabic evidence in a searchable table.

Open the semantic map
Feature example

Word-synchronized recitation

Overlay word boundaries on a waveform and spectrogram so a score can be traced to timing, alignment confidence, and reference audio.

Feature example

Recitation progress

Turn individual practice attempts into a legible history of consistency and improvement without ranking the learner against others.

Trust & sacred-text safeguards

Every layer says what it is.

Sedrah AI supports exploration and study. It does not replace the Muṣḥaf, qualified scholarship, Tafsīr, memorization, or instruction from knowledgeable teachers.

Primary Qur’anic text

Source and boundaries declared

Arabic text remains distinct from normalized search text, with verse boundaries and provenance preserved.

Computational pattern

Observation, not interpretation

Counts, clusters, similarities, and model scores are reproducible outputs with explicit methodological limits.

Scholarly commentary

Named and attributable

Reviewed commentary is labeled by source, reviewer, scope, and revision status.

Experimental AI assistance

Grounded and visibly marked

Generated assistance links back to retrieved evidence and is never silently presented as Tafsīr.