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Reporter in a studio watches live captions appear on a laptop as a speaker talks, showing near-instant transcription.

Editorial illustration for ElevenLabs Launches Scribe v2 with Real-Time, Negative-Latency Transcription Tech

ElevenLabs Scribe v2: Breakthrough Real-Time Transcription

ElevenLabs' Scribe v2 delivers real-time, negative-latency transcription

Updated: 2 min read

Speech recognition just got a serious upgrade. ElevenLabs, known for pushing AI audio boundaries, has unveiled Scribe v2, a transcription technology that promises to redefine real-time speech-to-text performance.

The new system isn't just another incremental improvement. By introducing negative-latency prediction, Scribe v2 could fundamentally change how developers approach voice technologies.

Imagine transcription that anticipates speech before it's fully spoken. That's the bold promise of ElevenLabs' latest idea, which goes beyond traditional audio conversion methods.

The technology appears designed for high-stakes scenarios where every millisecond matters. From enterprise communication tools to live captioning platforms, Scribe v2 seems poised to deliver unusual speed and accuracy.

But the real intrigue lies in how developers might harness these capabilities. With advanced features like text conditioning and voice activity detection, the potential applications stretch far beyond simple transcription.

Scribe v2 Realtime is aimed at developers and enterprises building voice assistants, meeting tools, and live captioning applications. According to ElevenLabs, the model features negative latency prediction, text conditioning, voice activity detection (VAD), and manual commit controls for enhanced streaming performance. Enterprise applications range from customer call transcription and compliance monitoring to medical dictation, real-time meeting notes, and accessibility captions for education and media.

In India, ElevenLabs has enabled data residency options to comply with local data regulations. The model also integrates with ElevenLabs Agents, allowing developers to create more natural conversational systems for support and sales workflows. Key features include ultra-low latency live transcription, next-word and punctuation prediction, domain-specific custom vocabulary, and zero-retention mode for sensitive workloads.

It also offers speaker diarisation, timestamp precision, and full enterprise compliance with Indian and global standards. Scribe v2 Realtime is available today through the ElevenLabs API and can be directly deployed within ElevenLabs Agents. ElevenLabs also recently launched Chat Mode, a text-only feature for its conversational agents, expanding beyond voice-first AI.

ElevenLabs is pushing transcription technology forward with Scribe v2 Realtime. The new platform seems designed for serious enterprise applications, from medical dictation to customer call monitoring.

Its most intriguing feature might be negative-latency prediction, which suggests the system can anticipate speech before it's fully spoken. This could revolutionize real-time transcription for developers building voice assistants and live captioning tools.

The technical capabilities look strong. Voice activity detection, text conditioning, and manual commit controls indicate a sophisticated approach to streaming performance.

Potential use cases span multiple industries. Call centers could benefit from instant transcription, while educational institutions might improve accessibility through real-time captions.

Still, practical buildation will determine Scribe v2's true impact. How smoothly developers can integrate these features remains an open question. But for now, ElevenLabs has introduced a promising technology that could change how we capture and process spoken language in professional settings.

Common Questions Answered

What makes ElevenLabs' Scribe v2 Realtime unique in speech recognition technology?

Scribe v2 introduces negative-latency prediction, which allows the system to anticipate speech before it's fully spoken. This groundbreaking feature enables more responsive and accurate real-time transcription, potentially revolutionizing voice technologies for developers and enterprises.

What enterprise applications can benefit from Scribe v2 Realtime?

Scribe v2 is designed for a wide range of enterprise use cases, including customer call transcription, compliance monitoring, medical dictation, real-time meeting notes, and accessibility captions for education. The technology's advanced features like voice activity detection and text conditioning make it particularly valuable for organizations needing precise, real-time speech-to-text solutions.

How does negative-latency prediction work in Scribe v2?

Negative-latency prediction allows the transcription system to predict and generate text before a speaker completes their sentence, effectively reducing transcription lag. This innovative approach means the system can start generating text based on partial speech inputs, creating a more seamless and instantaneous transcription experience.