> For the complete documentation index, see [llms.txt](https://helpdocumentation.gitbook.io/user-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpdocumentation.gitbook.io/user-documentation/voice-ai/voice-ai-overview-in-hindi.md).

# Voice AI Overview In Hindi

* **Voice AI** ek enterprise-ready platform hai jahan aap AI voice agents bana sakte ho jo customers se **real-time mein sunte, samajhte aur naturally bolte** hain.
* **Voice Agent** ek AI assistant hota hai jo voice input samajhkar **human-like speech** mein reply karta hai.
* **Voice Agent Dashboard** se aap sabhi agents dekh sakte ho, widget IDs check kar sakte ho aur creation/update history track kar sakte ho.
* Naya agent banane ke liye **Create New Agent** par click karein, agent ka naam add karein aur instructions mein personality, tone, behavior aur role define karein.
* Call start hone par bolne ke liye **welcome message** set karein.
* Call control ke liye **silence timeout** aur **off-topic question limit** configure karein.
* Voice AI pipeline mein:
  * **STT (Speech-to-Text)** – voice ko text mein convert karta hai
  * **LLM** – intent samajhkar response generate karta hai
  * **TTS (Text-to-Speech)** – reply ko natural voice mein convert karta hai
* AI model, voice type, language select karein aur clearer calls ke liye **noise cancellation** enable karein.
* Appearance customize karein — **logo, colors, button text, widget position aur UI style** set karein.
* Live preview check karein, agent **save** karein aur widget code copy karke website par embed karein.
* Deploy hone ke baad voice agent **customer support, lead qualification, booking, product explanation aur AI receptionist** jaise tasks 24/7 handle kar sakta hai.

{% embed url="<https://youtu.be/Z0-p4_6Pn2c>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://helpdocumentation.gitbook.io/user-documentation/voice-ai/voice-ai-overview-in-hindi.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.