Skip to main content

LiveKit Agents plugin for Gnani Vachana speech AI — STT & TTS for Indian languages

Project description

livekit-plugins-gnani

PyPI License

LiveKit Agents plugin for Gnani Vachana — high-accuracy Speech-to-Text and low-latency Text-to-Speech for Indian languages.

Vachana is a production-ready speech AI platform by Gnani.ai supporting 10+ Indian languages with 6 voices, real-time streaming, multilingual transcription, and code-switching capabilities.

Installation

pip install livekit-plugins-gnani

This will also install the gnani-vachana core SDK as a dependency.

Prerequisites

You need a Gnani API key. Email speechstack@gnani.ai to get started — all new accounts receive free credits, no credit card required.

Set your credentials as environment variables:

export GNANI_API_KEY="your-api-key"

# For REST STT only (optional):
export GNANI_ORGANIZATION_ID="your-org-id"
export GNANI_USER_ID="your-user-id"

Quick Start

Speech-to-Text

from livekit.plugins.gnani import STT

stt = STT(language="hi-IN")

# Use with a LiveKit voice agent pipeline

Text-to-Speech

from livekit.plugins.gnani import TTS

tts = TTS(voice="Karan")

# Use with a LiveKit voice agent pipeline

Features

STT

  • Batch recognition — REST API (POST /stt/v3) for file-based transcription
  • Real-time streaming — WebSocket API for live audio transcription with VAD
  • 23 Indian languages — Assamese, Bengali, Bodo, Dogri, English (India), Gujarati, Hindi, Kannada, Kashmiri, Konkani, Maithili, Malayalam, Manipuri, Marathi, Nepali, Odia, Punjabi, Sanskrit, Santhali, Sindhi, Tamil, Telugu, Urdu
  • Code-switching — Hinglish (en-hi-IN-latn) and Hindi-English mixed (en-hi-in-cm) for streaming
  • Sample rates — 8 kHz and 16 kHz

TTS

  • Chunked synthesis — REST API for single-request audio generation
  • Real-time streaming — WebSocket API for low-latency streaming synthesis
  • 6 voices — Karan, Simran, Nara, Riya, Viraj, Raju
  • Modelvachana-voice-v3 with voice cloning support
  • Configurable output — sample rate (8000–44100), encoding (linear_pcm, oggopus), container (raw, mp3, wav, mulaw, ogg)

Supported Languages

STT Languages (Speech-to-Text) — 10 languages

STT uses BCP-47 locale codes (e.g. hi-IN):

Language Code
English (India) en-IN
Hindi hi-IN
Gujarati gu-IN
Tamil ta-IN
Kannada kn-IN
Telugu te-IN
Marathi mr-IN
Bengali bn-IN
Malayalam ml-IN
Punjabi pa-IN

Plus streaming-only experimental: en-hi-IN-latn (Hinglish), en-hi-in-cm (code-mixed).


TTS Languages (Text-to-Speech) — 10 languages

TTS uses ISO 639 language codes (e.g. hi, bn). Pass these via the language parameter.

Language Code
Assamese as
Bengali bn
English en
Hindi hi
Kannada kn
Malayalam ml
Marathi mr
Odia or
Tamil ta
Telugu te

Available Voices

Voice ID Gender Description
Karan Karan Male Bold, Trustworthy
Simran Simran Female Confident, Bright
Nara Nara Female Gentle, Expressive
Riya Riya Female Cheerful, Energetic
Viraj Viraj Male Commanding, Dynamic
Raju Raju Male Grounded, Conversational

Architecture

gnani-vachana (>=0.3.0)   ← Core SDK (REST, WebSocket, SSE clients, voice/language constants)
    ↑
livekit-plugins-gnani     ← This package (LiveKit Agents adapter)

This plugin is a thin adapter that wraps the gnani-vachana SDK into LiveKit's stt.STT and tts.TTS base classes. Voice lists, language constants, and model definitions are shared with the core SDK.

Documentation

License

Apache 2.0 — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

livekit_plugins_gnani-0.3.5.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

livekit_plugins_gnani-0.3.5-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file livekit_plugins_gnani-0.3.5.tar.gz.

File metadata

  • Download URL: livekit_plugins_gnani-0.3.5.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for livekit_plugins_gnani-0.3.5.tar.gz
Algorithm Hash digest
SHA256 5baf55a2ccb4daedcc08a79d230d92b0d8f7f8adb3becc5cdc6f4391ce9f71d6
MD5 ba4a09da46f191c0ab04ee37d1b6c486
BLAKE2b-256 bf73a9fee43181147772b83f3a3b6fb1b49cfd757e85fda297acb8d7d67b9da2

See more details on using hashes here.

Provenance

The following attestation bundles were made for livekit_plugins_gnani-0.3.5.tar.gz:

Publisher: workflow.yml on Gnani-AI-Mintlify/livekit-plugins-gnani

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file livekit_plugins_gnani-0.3.5-py3-none-any.whl.

File metadata

File hashes

Hashes for livekit_plugins_gnani-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 c7376ec62c86fdd1776cac71414fccfbc4b2aa680dd18242ad201e5fb4148ca5
MD5 b84ff68a6cd1fb4b00fa66dd35cd5e8c
BLAKE2b-256 d28062c437c57c095e02ef4c4ad438f5875bbafadfec277085705bbe6b8c9e9c

See more details on using hashes here.

Provenance

The following attestation bundles were made for livekit_plugins_gnani-0.3.5-py3-none-any.whl:

Publisher: workflow.yml on Gnani-AI-Mintlify/livekit-plugins-gnani

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page