> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gnani.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> [Gnani AI](https://app.gnani.ai/voice) provides high-accuracy speech-to-text and text-to-speech APIs across 10+ Indian languages. Every API is optimized for Indian speech patterns, including regional dialects, code-switching, and accurate native-script transcription.

## Available APIs

### Speech-to-Text: Gnani Prisma v2.5

| API              | Description                                                                                |
| ---------------- | ------------------------------------------------------------------------------------------ |
| **STT REST**     | Transcribe short audio files (≤ 60s) via a single HTTP request                             |
| **STT Realtime** | Stream live audio over a WebSocket connection and receive transcript segments in real-time |
| **STT Batch**    | Submit long or multiple audio files for async transcription; poll for results via `job_id` |

### Text-to-Speech: Gnani Timbre v2.0

| API               | Description                                                                                                               |
| ----------------- | ------------------------------------------------------------------------------------------------------------------------- |
| **TTS REST**      | Synthesize text to audio in a single synchronous HTTP call                                                                |
| **TTS Streaming** | Submit text via an HTTP request and receive synthesized audio progressively as a server-sent event stream                 |
| **TTS Realtime**  | Stream text incrementally and receive audio simultaneously over a persistent WebSocket connection, delivering low latency |

***

### Voice Cloning

| API                            | Description                                                                              |
| ------------------------------ | ---------------------------------------------------------------------------------------- |
| **VC Embeddings**              | Upload a reference audio file to generate a `speaker_embedding` for use in voice cloning |
| **Voice Cloned TTS REST**      | Synthesize audio in your cloned voice via a single synchronous HTTP call                 |
| **Voice Cloned TTS Streaming** | Stream cloned voice audio progressively using Server-Sent Events                         |
| **Voice Cloned TTS Realtime**  | Stream text and receive cloned voice audio in real-time over a WebSocket connection      |

## Key Capabilities

| Feature                   | Detail                                                                             |
| ------------------------- | ---------------------------------------------------------------------------------- |
| **10+ Indian Languages**  | Native script transcription and synthesis across 10+ Indian languages              |
| **Language Detection**    | Automatic — or specify `language_code` to target a specific language.              |
| **Code-Switching**        | Handles code-mixed speech naturally                                                |
| **Audio Flexibility**     | STT accepts WAV, MP3, OGG, FLAC, AAC, M4A                                          |
| **Voice Cloning**         | Clone any voice from a short audio sample using speaker embeddings                 |
| **Latency**               | P95 200ms for STT<br />Streaming TTS supported                                     |
| **Processing Modes**      | Real-time streaming and batch                                                      |
| **Accuracy**              | Sub-4% WER on Indian English and 20-30% better accuracy for major Indian languages |
| **Transcript Formatting** | Auto-punctuation, inverse text normalization (numerals, dates, currency)           |
| **SSML Support**          | Full SSML for fine-grained speech synthesis control                                |
| **Noise Robustness**      | Optimized for telephony-grade and noisy real-world audio                           |

***

## Get Started

Ready to begin? Head over to the [Quick Start Guide](/vachana/introduction/quick-start) to make your first API call.