Platform

The Voice Pipeline
Behind Every Call.

A 5-step orchestration layer connecting AI4Bharat STT, an LLM, and IndicTTS into a single production-grade voice platform.

5Pipeline Steps
< 2sEnd-to-End
22+Languages
HoursTo First Deployment
01
Call Arrives< 100ms
02
STT Recognises< 300ms
03
LLM Reasons< 800ms
04
TTS Speaks< 250ms
05
Done< 2s total

Architecture

Five Steps —
One Seamless Flow

Every call flows through a carefully orchestrated pipeline — fast, resilient, and fully swappable.

01

Call Arrives

Citizen calls via any phone network. Audio streams in real-time — no buffering.

First words heard: < 100ms
Full sentence: < 300ms
02

Speech Recognised

Voice converts to text while the citizen is still speaking. First words in under 100ms.

First word STT: < 100ms
Full utterance: < 300ms
03

AI Finds the Answer

Understands the question, searches the knowledge base, generates a contextual response.

LLM inference: < 600ms
Call to answer: < 2s
04

Speaks the Answer

Converts text to natural voice in the caller's language. Audio starts in under 250ms.

Audio starts: < 250ms
Languages: 22+
05

VoicERA Orchestrates

Coordinates every step, holds conversation memory, retries on errors. Swap any component independently.

Conversation: Multi-turn
Availability: 24/7

Modular by Design

Swap any component independently — speech engine, AI model, or voice output. VoicERA manages the flow. Your stack, your rules.

STT
→
LLM
→
TTS
Speech-to-Text · Large Language Model · Text-to-Speech

Built With

🔩Pipecat
🐍FastAPI
⚛️Next.js
🐳Docker
📦MinIO

3–4 months of engineering → now it takes a few hours. Same infrastructure. Unlimited voice services.

Agent Platform

From Idea to Live
Voice Agent

What once took 3–4 months of engineering now takes a few hours.

01

Create an Agent

Name it. Write a system prompt in plain English — or any Indic language. Pick a knowledge base.

agent:
  name: "Kisan Helpline"
  prompt: "You are an agriculture
           assistant. Answer in
           Marathi."
  language: mr
02

Configure It

Pick your language, voice engine, phone number. Upload a PDF — the agent learns from it instantly.

language: Marathi (mr)
voice_engine: AI4Bharat TTS
phone: +91-XXXXXXXXXX
knowledge_base:
  - pesticide_guide.pdf
  - crop_calendar.pdf
03

Go Live

Test with a real call. Deploy. Handles 24/7 calls with full transcripts, recordings, and analytics.

status:         LIVE
calls_handled:  12,847
avg_response:   1.8s
success_rate:   88.2%
uptime:         99.9%

Platform Capabilities

Agent Builder

Prompt-driven, multi-turn conversations with full knowledge-base integration.

Campaign Manager

Outbound calls, CSV bulk upload, retry logic, and scheduling.

88.2%Average success rate across live deployments

Analytics

Full call transcripts, recordings, drop-off rates, success tracking.

Observability

CPU, GPU, memory, and end-to-end latency in a single view.

What's Next

You have a domain.
What would you do
with a voice?

Farmers who don't use apps. Patients who can't read forms. Citizens who hang up on IVRs.

🌾Agriculture
🏥Healthcare
🏛️Government
📚Education
💰Finance
⚖️Legal Aid
Deploy

Deploy VoicERA

For your domain — crop helpline, health triage, grievance system, scheme eligibility. Let's talk today.

Deploy it today
Fork

Fork the Codebase

Build your own vertical. The entire stack is yours — speech engine, LLM, voice output. Extend at will.

Fork on GitHub
Contribute

Contribute

Language models, adapters, orchestration. Build the voice layer for India — together, in the open.

Start contributing
🎙️

India's voice isn't English. It's 22 languages, 140 crore people, and one phone call away from the help they need.

VoicERA makes sure someone — or something — is always listening.

Deploy VoicERA Free Start a Conversation