----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Introduction]() * [Introduction]() * [Launch Screen Assets]() * [Connecting Your Custom LLM to Vapi: A Comprehensive Guide]() -----------------------------

### Answer Vapi offers robust multilingual support which includes the Hindi language for your application. You can easily set up Hindi language support using specific text-to-speech (TTS) and speech-to-text (STT) providers that support Hindi. Here’s a quick guide on how to set up Hindi language support in Vapi: 1. **Choose a Transcriber**: For speech-to-text, you can select a provider like Deepgram or Talkscriber that supports the Hindi language. Adjust this in the transcribers setting under the assistant configuration on your Vapi dashboard [(1)]() . 2. **Set up Text-to-Speech**: For text-to-speech, select a provider like PlayHT, 11labs, or Azure, which supports Hindi. You can easily set the voice to a Hindi-speaking voice model in the Vapi dashboard settings. For example, if you are using Azure as your provider, and want to set up a voice assistant in Hindi, your configuration might look something like this:

json
{
  "voice": {
    "provider": "azure",
    "voiceId": "hi-IN-KalpanaNeural"
  }
}

This configuration sets the voice assistant to use a Hindi voice model provided by Azure. By setting up these elements, your Vapi integration can effectively communicate in Hindi, enhancing the user experience for Hindi-speaking users. For more detailed steps on integration and customization, you can refer to the transcribers and voice settings in the Vapi documentation.

Glad I could be helpful. Feel free to create a new thread with any new questions you may have.

@Vapi Helo