Découvrez Scribe

Scribe, our first Speech to Text model, is the world’s most accurate transcription model. Built to handle the unpredictability of real-world audio, Scribe transcribes speech in 99 languages, featuring word-level timestamps, speaker diarization, and audio-event tagging—all delivered in a structured response for seamless integration.

Scribe is engineered for precision. In FLEURS & Common Voice benchmark tests across 99 languages, it consistently outperforms leading models like Gemini 2.0 Flash, Whisper Large V3 and Deepgram Nova-3. Whether it’s meeting summaries, movie subtitles, or even song lyrics, Scribe delivers the lowest automated transcription word error rate in Italian (98.7%), English (96.7%) and 97 other languages.

Scribe makes ASR universally accessible—dramatically reducing errors in traditionally underserved languages such as Serbian, Cantonese, and Malayalam, where competing models often exceed 40% word error rates.

Developers can integrate Scribe today via our Speech to Text API to get structured JSON transcripts with speaker diarization and word-level timestamps & non-speech event markers (e.g. laughter). A low-latency version for real-time applications will be released soon.

Creators and businesses can use Scribe directly via the ElevenLabs dashboard to upload audio or video files and generate formatted transcripts.

Commencez à créer avec Scribe :

API Documentation | Try in the ElevenLabs Dashboard

Benchmarks

FLEURS - Word Error Rate % - 102 Languages

Common Voice - Word Error Rate % - 102 Languages

Contributions

Research lead, training, architecture

Flavio Schneider

Project lead, pre-training data, fine-tuning data

Tim von Känel

Inference, Optimizations

Maximiliano Levi

Research Contributors

Johan Nordberg, Piotr Dabkowski

Frontend

Austin Malerba

Backend

Hristo Stoychev

Data Acquisition

Alex George