CASE STUDY — MEDIA / BROADCASTING
Multilingual Transcription Pipeline for a Broadcast Organization
01 — CHALLENGE
A broadcast organization with a large multilingual media library needed accurate transcription and subtitling at a scale no manual team could sustain — including live transcription and translation for major events.
02 — APPROACH
We engineered a two-stage pipeline: high-quality acoustic transcription followed by LLM-based correction using domain vocabulary, then extended the system to batch subtitle correction across the archive and live transcription/translation workflows for streamed events.
03 — DELIVERABLES
- Two-stage STT + LLM-correction transcription pipeline
- Batch subtitle generation and correction workflow
- Live-event transcription and translation configuration
- Domain vocabulary and correction rule sets
04 — OUTCOME
The organization processes hours of multilingual audio in minutes, with correction quality tuned to its own vocabulary — and can caption live events that previously went untranscribed.