ElevenLabs Unveils Scribe, a Speech-to-Text Transcription Model to Rival Otter, TurboScribe, and Others
ElevenLabs has launched Scribe, a new speech-to-text tool that promises the highest accuracy in the field. This position positions the company among notable competitors like Google, Otter, Fireflies, and TurboScribe, all of which are established in speech-to-text technology.
ElevenLabs is popularly known for its text-to-speech and AI voice generation technologies. With Scribe, the users get a product that does the opposite using their expertise in the speech synthesis field.
Scribe transcribes speech in 99 languages, with features like word-level timestamps, speaker diarisation, and audio-event tagging. The transcription is aimed to be delivered as a structured response for seamless integration.
For its accuracy, ElevenLabs states that they tested it using FLEURS and Common Voice benchmark tests across all supported languages and found that it consistently outperformed 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,” said ElevenLabs.
They emphasise that their technology addresses languages such as Serbian, Cantonese, and Malayalam with low word error rates.
The developers can integrate Scribe using their Speech-to-Text API to get structured JSON transcripts with non-speech event markers, speaker diarisation, and word-level timestamps. Scribe is priced at $0.40 per hour of input audio, and for the next six weeks, it offers an extra introductory discount.
If you are a creator or business, Scribe can be accessed directly via the ElevenLabs dashboard to upload audio or video files and generate formatted transcripts.

Currently, the offering focuses on higher accuracy. A low-latency version of real-time applications will be released soon, according to ElevenLabs.
The post ElevenLabs Unveils Scribe, a Speech-to-Text Transcription Model to Rival Otter, TurboScribe, and Others appeared first on Analytics India Magazine.




