Languages vs Accents in ElevenLabs: What's Actually Supported?

ElevenLabs' language support across its products and models presents a complex landscape, with significant variations in language and accent capabilities depending on the model used. Flash v2.5 supports 32 languages, Eleven v3 supports 74, but the default voices often carry an English accent into other languages due to training biases, which can lead to pronunciation issues in multilingual applications. This English phonetic bias is rooted in the model's training data, which heavily features English audio samples, affecting the authenticity of accents in customer-facing applications. Despite coverage of 31 additional languages in voice agents, language detection is limited to call start without mid-call switching capabilities, posing challenges in dynamic environments. The recommended solution for achieving authentic accents is Professional Voice Cloning, which allows for accent replication by using native voices from the Voice Library or cloned voices trained specifically in the target language. The choice of model is influenced by factors such as latency requirements, language coverage, and character limits, with Flash models offering ultra-low latency and high character limits, while Eleven v3 provides broader language support with a lower character limit. The article also highlights the asymmetry between text-to-speech and speech-to-text language support, as well as the need for careful planning and testing to ensure successful multilingual deployments that sound native.