Quran Lab is a waqf, a charitable endowment. Everything we build is given away and never sold.
Our models hear Quran recitation sound by sound, tajweed included, on the learner's own device.
TajweedFormer V4, for developers
TajweedFormer V4 runs inside your app, on the learner's device, and returns what it heard: each sound with its timing and confidence, and separate outputs for lengthening, gemination, ghunna and qalqalah. Your app builds its own feedback on that.
Get access in a minute
Sign in with Hugging Face, accept the licence and say what you are building. Most requests are accepted on the spot.
Copy one prompt
Paste it into your coding assistant, in your project. It installs the SDK and wires your key.
Your app shows up on your Home
On its first launch the app registers itself. From then on you see how it is used, as totals per day.
Quran Lab is a non-profit research lab, run as a waqf. The model and the SDKs cost nothing, and there is nothing to buy.
Four SDKs, one shape: client, model, listen, read
ai.quranlab:tajweedformerTajweedFormer@quran-lab/tajweedformertajweedformer-cZipformer Quran 3.1 on all 600 clips of the held-out benchmark. Lower is better.
Try each model on real recitations, or on your own voice.
Press play. The model hears the recording on this device and finds the ayah by itself.
These demos run Zipformer Quran 3.2, our earlier model, in your browser, and your audio never leaves your phone or computer. TajweedFormer V4 comes to apps through the SDK.
Each sound the model writes as you recite, with its time and its kind.
Recite, and each letter lights up where it is made: in the throat, on the tongue, at the lips or in the nose, the moment the model hears it.
Your voice as a live spectrogram, with each sound labelled at the moment the model placed it.
Free and public, never sold. Each model states its licence. Speech recognition comes first; restoration, alignment and data serve it.
Hears a recitation sound by sound on the learner's device, with outputs for lengthening, gemination, ghunna and qalqalah. Free for apps through the SDKs. It replaces Zipformer Quran 3.
Writes a recitation down phoneme by phoneme, tajweed included, streaming on a phone with no internet. No language model, so a reciter's mistake is never quietly corrected.
Restores archive recitation to 48 kHz in the same voice, words and melody, with silent pauses instead of the old room. The SAWT we recommend.
The same restoration in four steps, from a 105M student of V6 Pro. Built for whole archives: a full mushaf in well under an hour.
Aligns each ayah to its text phone by phone, so madd, ghunnah and qalqalah can be measured, not only word timestamps.
Working together, citing our work, or helping with data, review or time.
