Traditional ASR
Optimized for clean audio
Limited language coverage
Separate language detection
Generic vocabulary
Separate AI pipeline for sentiment and intent
Enterprise Speech Recognition Builtfor Real Conversation
Transcribe multilingual speech with industry-leading accuracy across 216+ languages, regional dialects, andcode-switched conversations. Built for production environments where accents, noisy audio, anddomain-specific vocabulary matter as much as benchmark scores.
#1
OpenASR Leaderboard
216+
Languages Supported
3.10%
Composite Word Error Rate
Sub-500ms
Streaming Latency
The Reality Gap
Speech Recognition That WorksOutside the Lab.
Shunya Zero STT
Built for production audio
216+ languages
Native code-switch recognition
Enterprise vocabulary adaptation
Conversation intelligence built in
The Zero STT Family
Choose the Right Speech Recognition Model forEvery Use Case
No single speech recognition model performs best acrossevery language, industry, and deployment. The Zero STTfamily gives you purpose-built models for multilingualconversations, Indian languages, code-switchedspeech, healthcare, and edge devices - all builton the same enterprise platform and API.
Zero STT Universal
Industry-leading multilingual speech recognition for enterprise applications, delivering accurate transcription across 216+ languages with accuracy.
Zero STT Indic
Built specifically for Indian languages and regional dialects, including first-ever benchmarked support for several low-resource languages including Bhojpuri, Magahi, Maithili, and Chhattisgarhi.
Zero STT CodeSwitch
Recognizes multilingual conversations where speakers naturally switch languages mid-sentence without separate language detection or model handoffs.
Zero STT Med
Purpose-built for clinical conversations with accurate recognition of medical terminology, drug names, procedures, ICD codes, and healthcare workflows.
Zero Tiny ONNX
Compact on-device speech recognition designed for fast, private, and reliable voice AI without depending on cloud connectivity.
Benchmarks
Performance You Can Measure.
#1 OpenASR
3.10%
Word Error Rate
Indian Languages
11.9%
Hindi WER
Streaming Performance
<500ms
First token latency
80ms
95ms
175ms
125ms
Batch Performance
146×
Real-time throughput
How people actually speak
Built for the Way People Actually Speak.Built for the WayPeople Actually Speak.
Capabilities
Hindi ↔ English, mid-sentence.
Mera card block ho gaya... can you help me activate it?
Correct transcription
No language switching
No model handoff
BhojpuriMaithiliMagahiChhattisgarhiAwadhiBundeliMarwariBraj
Upload once. Recognition improves automatically.
Product catalog
Customer names
Medical terms
Bank schemes
ONE REQUEST
More Than a Transcript
Everything extracted together, in a single request.
The source of everything
Hi, this is Priya from support. How can I help you today?
My payment failed but the amount was still deducted.
I understand. let me refund that right away.
Deploy anywhere
Built for Every Deployment
Cloud.
Managed multi-tenant deployment. Fastest to launch, scales elastically with call volume.
Private VPC.
Dedicated deployment inside your cloud account. Data never leaves your network perimeter.
On-prem.
Runs entirely inside your data center. For regulated workloads with strict residency requirements.
Edge.
Deploy at the branch or device layer for the lowest possible latency and offline resilience.
Integrations
Works With Your Existing Voice Stack.
from livekit.agents import AgentSession
from livekit.plugins import shunyalabs, silero
session = AgentSession(
stt=shunyalabs.STT(language="auto"),
vad=silero.VAD.load(),
)Use cases
Built for Enterprise SpeechRecognition
Every industry speaks differently. From regional dialects and technical terminology to noisy call center audio and clinical conversations, Zero STT is built to accurately understand speech in the environments where businesses operate.