How can audio and video meeting recordings be directly converted into timestamped subtitles?

Core Issue Diagnosis

Traditional translation workflows require transcription, translation, and timeline alignment—making the process cumbersome.

Root Cause Analysis

Whisper-level transcription accuracy

We've integrated OpenAI's Whisper model for speech-to-text, delivering precise recognition of accents and background noise. The system automatically segments timelines to guarantee subtitles are properly synchronized with visuals.

Parallel generation of multilingual subtitles

Simultaneously with transcription, LLM-powered contextual translation is applied. The resulting SRT or VTT files can be directly imported into YouTube, Premiere, and other video editing software.

Final Solution Summary

By integrating multimedia and document translation, DL.Translator is evolving into a comprehensive media localization platform.