yazinsai

yazinsai / offline-tarteel

Public

Offline Quran verse recognition — identify surah and ayah from audio

offline-tarteel.whhite.com
125
15
100% credibility
Found Feb 28, 2026 at 24 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source project benchmarking AI models to identify Quran verses from offline audio recordings with high accuracy and low latency.

How It Works

1
👋 Discover Offline Quran Helper

You hear about a free tool that listens to Quran recitation and tells you exactly which verse it is, working anywhere without internet.

2
🎤 Try the Live Demo

Open the web demo in your browser, press record, recite a verse, and watch it identify the surah and ayah right away.

3
✨ Instant Feedback

See the verse highlighted with confidence score and hear how accurate it is even on phone recordings.

4
📱 Test on Your Recordings

Upload your own audio clips to benchmark different listening modes and find the fastest, most accurate one for your needs.

5
🔧 Pick Your Favorite Mode

Choose the best balance of speed and accuracy, like super-fast for short verses or precise for long ones.

✅ Practice Anywhere Offline

Download the tiny model to your phone or laptop and get instant verse feedback during recitation practice, no internet needed.

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Star Growth

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AI-Generated Review

What is offline-tarteel?

This Python project builds offline Quran verse recognition: record a recitation and it pinpoints the surah and ayah from audio, no internet required. It benchmarks multiple ASR pipelines to hit 95%+ recall under 200MB disk and sub-second latency on phones or laptops—ideal for tarteel offline apps or offline quran audio apps. Ships with a web demo for instant testing.

Why is it gaining traction?

Unlike online Quran apps, it's fully offline-first with speaker-invariant models covering all 6,236 verses, including tricky short ones. Devs dig the head-to-head benchmarks (e.g., 87% recall at 115MB, 0.33s via FastConformer) and easy experiment extension via simple predict functions. CLI benchmarking and Modal training scripts make iterating fast.

Who should use this?

Mobile devs building apakah aplikasi tarteel offline or offline quran for pc tools. Prayer app makers wanting recitation feedback without servers. Arabic ASR tinkerers evaluating models on real user/crowdsourced audio.

Verdict

Promising experimental repo (18 stars, 1.0% credibility score) with thorough benchmarks but early-stage docs and no production packaging. Fork it for offline quran mp3 tracking; pair with pruned models to ship a viable tarteel offline alternative today.

(198 words)

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