Browse 9 models from ElevenLabs. View pricing, uptime, performance, and activity data in one place.
Eleven Flash v2.5 is an ultra-low-latency text-to-speech model from ElevenLabs. It is suited for conversational and real-time use cases, supports 32 languages, and has a 40,000-character request limit.
Eleven Flash v2 is an English-only, ultra-low-latency text-to-speech model from ElevenLabs. It is suited for conversational and real-time English use cases, and has a 30,000-character request limit.
ElevenLabs Scribe v2 is a speech-to-text model that transcribes audio in 90+ languages with word-level timestamps, optional speaker diarization, and audio-event tagging.
ElevenLabs Scribe v2 Medical is a speech-to-text model tuned for clinical and medical terminology, with word-level timestamps, optional speaker diarization, and audio-event tagging.
Eleven-Multilingual-v2 is ElevenLabs’ most advanced multilingual text-to-speech model, delivering high-quality voice synthesis across a wide range of languages with improved realism and expressiveness. It is optimized for both accuracy and naturalness in multilingual scenarios.
Scribe-v1 is a cutting-edge speech recognition model from ElevenLabs, designed for accurate speech-to-text transcription in 99 languages. It excels at handling real-world audio and consistently outperforms models such as Gemini 2.0 Flash and Whisper Large V3, achieving notably low word error rates even in underserved languages.
Eleven-v3 is ElevenLabs’ most expressive text-to-speech model, supporting over 70 languages, multi-speaker dialogue, and advanced audio tags such as [excited], [whispers], [laughs], and [sighs]. It provides unmatched realism and control, enabling dynamic, context-aware conversations with improved expressiveness and fine-grained audio control.
Eleven-Turbo-v2 is an English-optimized TTS model from ElevenLabs, designed for fast, high-quality speech synthesis with low latency. It is ideal for real-time applications and interactive voice systems.
Eleven-Multilingual-v2 is ElevenLabs’ most advanced multilingual text-to-speech model, delivering high-quality voice synthesis across a wide range of languages with improved realism and expressiveness. It is optimized for both accuracy and naturalness in multilingual scenarios.