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.

Available Tools

• Audio Segmentations

  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.

• Ayah Boundary Visualizer

  Visualizes ayah start and end times as timeline bars, helping to debug and refine ayah boundary data derived from raw segmentation.

• Ayah Audio Segments

  Tool for manually fixing word-by-word segments of ayah-by-ayah audio files.

• Surah Audio Segments

  Tool for fixing word-by-word timestamp data for full surah audio files.