Audio timestamping is the process of mapping each word, or ayah in a Quranic recitation to its exact time within the audio. This data enables features such as real-time highlighting, synchronized playback, and precise navigation within the a full surah recitation. QUL provides a suite of timestamping tools designed to analyze, refine, and generate precise timing data for Quranic audio files, ensuring accurate synchronization between the recitation and the Quranic text.
Used to inspect and validate raw segmentation data of recitations by viewing detailed statistics, testing real-time word highlighting, and identifying missing or misaligned words.
Visualizes ayah start and end times as timeline bars, helping to debug and refine ayah boundary data derived from raw segmentation.
Tool for manually fixing word-by-word segments of ayah-by-ayah audio files.
Tool for fixing word-by-word timestamp data for full surah audio files.