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AI news · ElevenLabs · Scribe v3

ElevenLabs’ Scribe v3 Live labels each speaker during the call

ElevenLabs says its new speech-to-text models cut errors against Scribe v2, and they let voice agents judge when a caller has finished instead of waiting out a silence.

By Alexandre S. , 11:30 UTC

ElevenLabs, the AI voice company, released two speech-to-text models on Tuesday 10 November 2026: Scribe v3 for recordings and Scribe v3 Live for audio as it happens. Measured across 102 languages, the recorded-audio model cuts word errors by 27% against Scribe v2, its launch post says. The live model makes 43% fewer errors than Scribe v2 Realtime.

Retro-futurist illustration: a striped sunset over a grid horizon under a starry sky, with a satellite standing on the horizon.
Drawn by adtestbench from “Introducing Scribe v3 and v3 Live, our most accurate speech to text models”,

The live model now labels who is speaking while the call runs, a first for ElevenLabs’ real-time transcription. It also changes turn-taking for voice agents. Current systems often wait for a set length of silence, which can cut off a caller who pauses halfway through reading out a number. Scribe v3 Live weighs the context of the conversation along with the audio to decide when someone has finished speaking, The Decoder reports. A multilingual mode handles callers who move between languages within one sentence, something ElevenLabs says its customers in India asked for with Hindi and English.

Developers can call both models through ElevenLabs’ API, where switching from Scribe v2 takes a single change to the model name. The live model also runs inside ElevenAgents, the company’s voice agent product. The accuracy figures are ElevenLabs’ own.

On our price sheet, checked 12 November, ElevenLabs’ Starter plan costs $6 a month for 30,000 credits with a commercial licence; the free plan is for personal use with attribution and bars paid ads.

Because speaker labels now arrive during the call, a live ElevenLabs transcript can show who said what as a conversation happens, so a sales or support agent can tell apart two people on the caller’s end while they talk.