elevenlabs-scribe

Transcribe audio recordings using Scribe v2 speech-to-text to generate production-ready outputs with word-level timestamps, diarization, speaker labeling, and audio-event tags. Configure language hints and curated keyterms to improve accuracy across podcasts, interviews, and customer calls.

Generate SRT and VTT caption drafts from video recordings by processing speech-to-text outputs with character timestamps and speaker turns. Run accessibility caption review and edit preparation workflows to refine the drafts before final delivery.

Speech-to-text transcription supports privacy redaction through entity detection, consent checks, and retention controls. Plan entity redaction and provenance tracking during transcription to ensure compliance when handling sensitive customer calls or interviews.

Handle diarization for multi-speaker podcast transcripts by using isolated multichannel recordings, speaker turn labeling, and curated keyterms. Preserve raw JSON outputs and apply human quality assurance to verify speaker labels and transcript accuracy.

Process webhook audio inputs by routing recordings through Scribe v2 transcription with configured language hints and timestamp settings. Manage artifact custody, provenance tracking, and retention controls to maintain output integrity across automated pipelines.

Apply human quality assurance to speech-to-text transcripts when preparing accessibility captions, privacy redactions, or critical transcript content. Human review ensures speaker labels, keyterms, and timing metadata meet production-ready standards before localization handoff.