Enterprise Text-to-SpeechThat Sounds Natural inEvery Language

Generate expressive, human-like speech across 99 global and55 Indian languages with low latency, voice cloning, andenterprise-grade deployment. Built for voice agents, customerconversations, IVRs, and multilingual applications at scale.

154 Languages

Global + Indian Languages

11 Voice Styles

Emotion & Expression

#1 Ranked

Blind Evaluation vs Google & Cartesia

<200ms

Streaming Audio

Text to Speech

Hear the Difference

Listen to sample voicesNeutralHappySadAngryFearfulSurprisedDisgustNewsConversationalNarrativeEnthusiasticListen to sample voicesNeutralHappySadAngryFearfulSurprisedDisgustNewsConversationalNarrativeEnthusiastic

Conversational

Casual, everyday speech. Best for chatbots and voice agents.

Capabilities

Built for Conversations, Not Just Narration

Natural Voice Quality

01

Speech designed for real conversations, with natural pacing, pauses, emphasis, and pronunciation that keeps long interactions engaging.

Expressive Speech

02

Adjust emotion and speaking style on every response without changing the speaker's identity.

Native Multilingual Voices

03

Generate speech across 99 global and 55 Indian languages with voices designed for native pronunciation instead of translated accents.

Enterprise Deployment

04

Deploy the same voice models in the cloud, inside private infrastructure, or completely offline on edge devices.

Voice Cloning

One Voice. Every Language.

Voice identity shouldn't disappear when conversations switch languages.

01

Upload Voice

02

Create Voice Clone

Timbre

Prosody

Accent

03

Choose Language

04

Generate Speech

05

Same Voice

<5 Seconds

Reference Audio

154 Languages

Single Voice Identity

Consent Based

Enterprise Voice Cloning

Private Deployment

Your Voice Never Leaves Your Infrastructure

Benchmarks

Benchmarked Against the Best

Blind Listening Evaluation

31 independent evaluators compared Shunya against leading commercial systems.

Google
#1
Shunya
Cartesia
31
Evaluators
23
Tier-1 Indian Languages
Statistically Significant

Indian Language Coverage

  • Shunya55
  • Google23
  • Cartesia23
  • Azure13

Mean Opinion Score

0.0MOS

High naturalness and clarity across multilingual deployments, validated on production edge models.

Real speech

Built for the Way People Actually Speak

Mixed Languages

People don't speak in one language.

They naturally switch mid-sentence.

Your appointment kal morning 10 baje hai.

One voice.

No language transition.

No accent reset.

Emotion Control

The same sentence.

Four different deliveries.

  • Neutral
  • Happy
  • Empathetic
  • Urgent

Brand Pronunciation

Teach the model once.

Pronounce it correctly forever.

Pronunciation DictionaryBrand NamesMedical TermsPeopleAddresses

Every generated response follows your approved pronunciations.

Platform

Voice AI Starts Here

Zero TTS

Integrations

Works With Your Existing Stack.

agent.py
from livekit.agents import AgentSession
from livekit.plugins import shunyalabs

session = AgentSession(
    tts=shunyalabs.TTS(
        voice="Rajesh",
        language="en",
    ),
)

Deploy anywhere

Ready for Enterprise Deployment

  1. Cloud.

    Deploy globally with elastic scaling for high-volume conversational workloads.

  2. Private Infrastructure.

    Run inside your VPC, on-premises, or sovereign cloud while maintaining complete ownership of your data and models.

  3. Edge.

    Deploy lightweight voice packs directly on devices for low-latency, offline speech generation without dedicated GPUs.

Related Pillars

Custom SLMsVoice AgentSTTReal Time TranslationEdge SLU