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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Fast and accurate Urdu speech recognition for real-world audio
Get real-time Urdu speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.
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.
Urdu Speech-to-Text Capabilities
Diarization
Automatically detect and label who is speaking in multi-speaker Urdu conversations.
Smart formatting
Apply automatic capitalization, paragraphing, and clean transcript structure for Urdu text.
Search
Instantly find words or phrases inside long Urdu recordings without reprocessing audio.
Utterances
Segment streaming Urdu audio into real-time sentence-level units for voice agents.
Punctuation
Add accurate punctuation and capitalization to Urdu transcripts for easy reading.
Redaction
Automatically remove sensitive data like credit cards, phone numbers, and PII from Urdu transcripts.
Keyterm prompting for Urdu
Boost recognition of brand names, product terms, and domain-specific vocabulary in Urdu audio to improve keyword recall and transcript accuracy.
Scale beyond Urdu with one API
Start with Urdu speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
Frequently Asked Questions
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Start transcribing Urdu audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.