ElevenLabs Scribe
Transcribes audio and video into text with high accuracy across multiple languages and contexts.
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ElevenLabs Scribe is a professional speech-to-text model developed by ElevenLabs, designed to convert spoken language into written text with exceptional precision. Its core value lies in providing reliable, high-quality transcriptions that serve as a foundational tool for content creators, researchers, and businesses, enabling them to easily document and repurpose spoken content. The model is built to handle diverse audio sources and linguistic nuances, making it a versatile asset for anyone needing accurate text from speech.
Key features include the Scribe v2 model for transcribing pre-recorded audio and video files, and the Scribe v2 Realtime model for live, low-latency transcription during calls or events. It supports a wide array of languages and dialects, automatically detects different speakers within a recording, and can process various audio formats. The system also includes punctuation and formatting capabilities to produce clean, readable transcripts ready for immediate use or further editing.
What sets ElevenLabs Scribe apart is its specialization in both batch and real-time transcription within a single platform, leveraging advanced AI trained specifically for speech recognition. It operates as a cloud-based API, allowing for easy integration into other applications, workflows, and services. The technology focuses on maintaining accuracy even with background noise, accents, or technical jargon, and is accessible through a web interface or programmatically, catering to both individual users and developers seeking to embed transcription into their products.
Ideal for journalists converting interviews into articles, podcasters creating show notes and subtitles, educators making lecture materials accessible, and customer service teams analyzing support calls. It is also perfectly suited for legal and medical professionals needing verbatim records, as well as developers building accessible applications that require real-time captioning or audio analysis, streamlining workflows that depend on converting speech to actionable text data.
