Scribe v3 by ElevenLabs

Scribe v3 is ElevenLabs' most accurate speech-to-text model, built for developers working with calls, meetings, interviews, and media recordings. Key capabilities: • 27% fewer word errors than Scribe v2 across 90+ languages • Labels up to 32 speakers in a single recording • Tags laughter, music, and emotion alongside spoken words • Boosts up to 1,000 custom terms for accurate names and jargon • Detects 56 entity types • Processes files up to 15 hours long • Scribe v3 Live delivers realtime transcription in under 150ms Many transcription tools struggle with background noise, accents, and overlapping speech. Scribe v3 is designed for these conditions, so transcripts stay accurate when several people talk at once or audio is less than ideal. Speaker labels and turn detection make multi-person conversations easier to review, search, and analyze without manual cleanup. The speaker labels, entity detection, and custom vocabulary give developers more control over the output, reducing the post-processing work that follows transcription. Scribe v3 Live covers low-latency use cases such as live captioning and voice agents, while the standard model handles recorded audio at scale. Scribe v3 suits developers building meeting notes tools, voice agents, dubbing pipelines, clinical documentation systems, interview analysis platforms, and broadcast archive search. Teams that need accurate transcripts the first time, with fewer downstream corrections, will find it especially useful.