Audio Translation

The Audio Translation tool processes uploaded audio files by first performing speech-to-text transcription in a selected source language or auto-detect. It then translates the resulting text into a chosen target language. This workflow is tailored for podcasters, journalists, instructors, researchers, and multilingual content teams who need quick, accurate transcripts and localized text for publishing, subtitling, or archival purposes.

Conceptually, the workflow comprises three stages: ASR, translation, and post-processing. The ASR model aligns audio segments to timestamps when requested. The translation model renders text in the target language, with optional glossary-driven terms. Post-processing corrects punctuation and casing to improve readability. The tool supports batch processing and configurable output formats to integrate into editors and CMS workflows.

Core differentiators include support for timestamped transcripts, batch processing, glossary management, and privacy-first data handling. Unique value lies in combining transcription and translation in a single job, reducing handoffs and turnaround time. Use cases include subtitle generation, multilingual summaries, and cross-language analytics. Advanced features (optional) include diarization to separate speakers, timestamps, and export in TXT, SRT, or JSON formats to integrate with localization pipelines.