How can a one-stop solution achieve 'Speech-to-Text + Translation' for multimedia processing?

Core Issue Diagnosis

Traditional workflows require using separate tools for transcription, followed by manual translation, and finally subtitle alignment. This process is fragmented and costly.

Root Cause Analysis

High-accuracy ASR Transcription

By integrating advanced automatic speech recognition (ASR) models similar to Whisper, it accurately recognizes speech with accents or background noise and generates time-stamped original transcripts.

Multilingual synchronized output

The AI translation engine intervenes at the moment of transcription, instantly converting scripts into the target language. Users can upload an MP3 and instantly download SRT subtitle files in both the original and target languages.

Final Solution Summary

Providing end-to-end language transformation services for podcasters, meeting transcription, and video creators.