What is Urdu speech-to-text and how does it work?

Speech-to-text (also called automatic speech recognition, or ASR) converts spoken Urdu audio into written text. Deepgram processes the audio signal, detects speech in real time, and returns structured transcript data through an API. Developers use it for applications like voice agents, call analytics, captioning, and searchable media.

Does Deepgram support Urdu speech-to-text?

Yes. Deepgram supports automatic speech recognition (ASR) for Urdu audio. You can transcribe real-time or prerecorded audio by setting `language=ur` in your API request.

Which Deepgram models support Urdu speech-to-text?

Deepgram supports Urdu in the Nova model family. Model availability may vary by language, so check the Models & Languages page for the latest support details.

Can Deepgram transcribe Urdu in real time?

Yes. Deepgram provides low-latency streaming transcription for Urdu, suitable for live voice agents, call analytics, captioning, and other real-time applications.

Does Deepgram support automatic language detection for Urdu?

Deepgram offers automatic language detection for many languages. You can enable it with `detect_language=true`. See the Language Detection documentation for the full list of supported languages.

Can Deepgram handle audio with multiple languages or code-switching?

Yes. Deepgram supports multilingual transcription and code-switching when using Nova's multilingual models. Set `language=multi` to enable it. See the Models & Languages page for supported languages.

What features are supported for Urdu transcripts?

Deepgram supports timestamps, punctuation, diarization, numeral formatting, filler-word detection, redaction, and more — all through the API.

How accurate is Deepgram for Urdu speech-to-text?

Accuracy depends on model choice, audio quality, and domain. Nova models deliver state-of-the-art accuracy, and you can improve results further using Keyterm Prompting or Custom Models.

How do I get started with Deepgram's Urdu speech-to-text API?

Sign up for a free Deepgram account to access your API key. You can test Urdu transcription instantly in the Playground , or call the API directly by sending audio to `/v1/listen` with `language=ur`. Starter apps and code examples are available on GitHub.

Urdu Speech to Text

Convert Urdu speech-to-text with high accuracy, low latency, and enterprise-grade scalability. Deepgram delivers real-time and batch transcription through a developer-first speech-to-text API.

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Urdu Language Overview

Speakers: 230+ million total speakers

Regions: Pakistan (national language), India, UAE, Saudi Arabia, United States, United Kingdom, Canada, Afghanistan, Bangladesh

Dialects: Deccani, Karachi, Punjabi Urdu, Capital Area (Islamabad), Northwestern, Baluchistan

Writing system: Perso-Arabic script (Nastaliq/Naskh)

Language family: Indo-European

Urdu is widely used across Pakistan, India, and large diaspora communities in the Middle East and Western nations, making it a key language for customer support centers, healthcare services, government operations, media broadcasting, and multilingual voice agents.