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ElevenLabs warns developers over language gaps in its AI voice models

The voice AI company has published guidance revealing significant variations in language support across its product range that can cause production failures

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by Defused News Writer
ElevenLabs warns developers over language gaps in its AI voice models
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ElevenLabs has warned engineering teams that selecting the wrong combination of its AI voice models can introduce language and accent errors that cannot be resolved through configuration changes alone.

The company's troubleshooting documentation, published in a product announcement, maps out coverage differences across its model range that have direct implications for international deployments.

Eleven Flash v2, the company's fastest model, supports English only, while Flash v2.5 and Turbo v2.5 each cover 32 languages.

Eleven v3, the company's most linguistically capable model, supports 74 languages but restricts requests to 5,000 characters, compared with 40,000 for Flash and Turbo variants.

ElevenLabs' Scribe transcription tool supports more than 90 languages and can identify up to 32 separate speakers, while the company's voice agent platform covers 31 languages beyond English, but fixes the language at the start of a call with no option to switch mid-conversation.

The company acknowledged that its multilingual models are "primarily trained on large datasets with a strong English phonetic bias," which it said produces mispronunciations of numbers, acronyms and foreign words.

Reported errors include Spanish numbers being spoken as "eleven" rather than "once," and Dutch voices carrying strong English accents despite correct language settings being applied.

ElevenLabs cited research suggesting 76% of consumers prefer purchasing from brands that address them in their own language, and said accent mismatches risk pushing users toward competitors offering native-sounding alternatives.

The company recommended that teams requiring authentic accents use Professional Voice Cloning or select native voices from its Voice Library, filtered by accent tags.

It also advised developers to specify a language code explicitly rather than relying on automatic detection, and to test numbers and edge cases for each target language before deployment.

ElevenLabs said concurrency limits, which govern how many simultaneous voice requests a system can handle, are not publicly disclosed and require direct contact with its sales team for production capacity planning.

The recap

  • ElevenLabs language support ranges from 1 to 74 languages.
  • Eleven v3 supports 74 languages with a 5,000-character limit.
  • Teams should test voices and use Professional Voice Cloning.
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by Defused News Writer

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