Develop high-fidelity Urdu voice agents
Speech-to-text, text-to-speech, and real-time translation for Urdu voice agents, built for production at scale, with token-streaming TTS that starts speaking before the LLM finishes.
Urdu voice layer around your LLM
Building a voice agent can be tricky. One mis-recognized word (a name, an account number, an accent) and the user feels it, and frustration sets in fast. The agent needs speech-to-text that captures every word and text-to-speech that speaks back without slips, and recovers quickly when a mistake happens. And since users today don't all speak English, the same has to hold across multiple languages to reach a global audience.
Soniox handles the real-time Urdu speech pipeline with native-speaker accuracy in Urdu and 60+ other languages, with accurate listening and clean, natural speech. The voice layer is solved, you just wire in your preferred LLM to do the thinking.
If you tried our introduction demo above, you saw the voice loop in action: streaming speech-to-text, LLM reasoning, and streaming text-to-speech working together in real time. We put the same underlying architecture into an open-source reference app you can clone, run locally, and adapt to your own use case and style.
Get your Urdu voice agent running
The Soniox Voice Agent demo is an open-source voice-to-voice assistant you can clone, run locally, and adapt to Urdu. The default scenario is an appointment-booking agent for a fictional car repair shop, but the same architecture works for any voice agent (support, intake, scheduling, anything that needs to listen and speak).
How the voice loop fits together
Microphone audio runs through Silero VAD for barge-in detection, then into Soniox STT for streaming transcription with semantic endpoint detection. The transcript flows to an LLM, which streams its reply token by token straight into Soniox TTS. Soniox TTS is itself a real-time full-duplex streaming model: text flows in on the WebSocket while audio flows out on the same connection at the same time. It starts streaming back audio from the first few words, and as the LLM keeps producing tokens, Soniox keeps turning them into audio as they arrive. The user hears the reply as it forms, with no wait for the LLM to finish before the voice starts.
What's in the repo
- Python server: orchestrates VAD, STT, LLM, and TTS, and holds the conversation state.
- React frontend: captures mic audio in the browser and plays the agent's reply.
- Twilio proxy (optional): connect the same agent to a phone number.
Get it running
- Create an account on Soniox Console and generate your Soniox API key.
- Clone Soniox Examples repo that contains
apps/soniox-voice-bot-democode and follow the READMEs in the/serverand/frontendfolders to install dependencies and set your API key. - Adapt the system prompt, STT language hints and TTS language to Urdu. See STT language hints and TTS supported languages.
- Start the server and the frontend, open it in your browser, and have a Urdu conversation.
Learn more about the demo and all possible STT and TTS API configurations and concepts from our comprehensive docs page.
Plug Soniox into your framework of choice
If you don't want to wire up the voice loop yourself, and you're already using a popular voice-agent framework, Soniox plugs in as the STT and TTS through ready-made integrations.
- Pipecat (voice-agent framework): drop in Soniox STT and TTS through the official STT and TTS packages.
- LiveKit (real-time audio platform): use Soniox as the speech layer for LiveKit voice agents in the browser, on mobile, or over telephony.
Soniox also provides official integrations with LangChain, Twilio, n8n and more.
The new standard for Urdu voice AI
Soniox unifies Urdu speech-to-text, text-to-speech, and translation in one platform, delivering lower latency, simpler architecture, and native-speaker Urdu accuracy through a single API.
One speech API for the full Urdu voice stack
Use Urdu speech-to-text, text-to-speech, and translation through a single API and provider. Reduce integration complexity, simplify system design, and ship Urdu voice products faster.
Lower latency across every Urdu turn
Run Urdu transcription, translation, and speech generation on one real-time platform built for live interaction. Deliver faster turn-taking and more natural Urdu conversations.
Urdu voice agents with native-speaker accuracy
Build voice agents that recognize and generate Urdu speech with native-speaker accuracy, including code-switching across 60+ languages.
Precise alphanumerics in Urdu
Capture and speak email addresses, phone numbers, addresses, IDs, and codes in Urdu with the precision production voice agents require.
The complete Urdu speech stack for voice agents
One API provides the building blocks of Urdu voice agents: recognize Urdu speech, generate Urdu speech, translate live across 60+ languages, and stream in real time with low latency.
Native-speaker Urdu speech recognition
Recognize Urdu speech across accents, names, numbers, and domain-specific vocabulary with unmatched accuracy, even in noisy, multi-speaker conversations.
Urdu text-to-speech built for precision
Generate natural, high-fidelity Urdu speech built for alphanumerics, names, borrowed words, language switching, and other hard production TTS cases.
Translation for multilingual Urdu conversations
Translate spoken Urdu content in real time across 60+ languages and 3,600+ language pairs, including conversations where speakers switch languages mid-sentence.
Low-latency streaming for live Urdu interaction
Transcribe, translate, and generate Urdu speech in real time with low-latency streaming built for voice agents, live conversations, and interactive products.
One global API, deployed locally
Use the same models and API everywhere, with in-region processing to meet latency, data residency, and regulatory requirements.
Soniox Data Residencyarrow_right_altPrivacy and compliance, built right in
Never stored, never saved.
Audio stays in memory, everything is processed in real-time.
Built for privacy-critical use cases.
Adhering to leading global security, privacy, and compliance standards.
Trusted where privacy matters most.
Used in industries where speech is sensitive, from healthcare to enterprise.
Powering the world's most demanding products
From global enterprises to frontier AI labs, teams choose Soniox for the accuracy, speed, and scale their products demand.
Perplexity integrated Soniox to power a best-in-class voice experience for millions of Perplexity users.
A global technology leader using Soniox across internal meetings, call centers, and government projects in Korea.
Using Soniox for real-time captions and voice interactions, helping bring faster and more natural speech experiences to users.
Using Soniox to power transcription and real-time speech translation across meetings and contact center products.
An enterprise AI agent platform, using Soniox to power voice AI agents across non-English markets where best-in-class voice AI is scarce.
Pioneers in AI-powered healthcare technology, dedicated to transforming the way healthcare providers deliver care.
Using Soniox for best-in-class real-time captioning in its widely used meeting notes platform.
Trusted by millions of people worldwide, using Soniox to power highly accurate transcription for phone calls and voice messages across multiple languages.
“It just gets the words right — any language, any accent, any context. That’s what accuracy is supposed to look like.”
Tony Wang
Cofounder & Chief Revenue Officer at Agora
“We tried a dozen speech-to-text and translation services. Soniox is the best, so that's what we use.”
Cayden Pierce
CEO/CTO at Mentra
A fast-growing real-time translation app, using Soniox to power low-latency speech translation for seamless multilingual communication.
“As the leading provider of voicebots for automotive dealerships in Germany, we’ve faced significant challenges recognizing license plates accurately. Soniox has solved this problem with exceptional recognition of alphanumeric sequences, resulting in a much higher acceptance rate for our voicebot.”
Dr. Steven Zielke
Founder & CEO of mobilApp
“It’s so fast, captions appear before people even finish talking. Zero lag. No buffering. Nothing.”
Dag-Inge Aas
Head of AI at Tana
Build voice agents in any language
Soniox supports 60+ languages with native-speaker accuracy, on a single unified API for speech-to-text, text-to-speech, and real-time translation.
Frequently asked questions
Does Soniox support real-time Urdu voice agents?arrow_downward
Can I build Urdu voice agents with one API?arrow_downward
How accurate is Soniox for Urdu voice agents?arrow_downward
Can Soniox handle mid-sentence language switching with Urdu?arrow_downward
How does Soniox handle phone numbers, codes, and IDs in Urdu?arrow_downward
Does Soniox support real-time translation between Urdu and other languages?arrow_downward
Is the Urdu voice platform production-ready?arrow_downward
How do I get started with Urdu voice agents?arrow_downward
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