Convert Hindi 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.
Trusted by the world's top Enterprises and Startups
Get real-time Hindi speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.
Speakers: 609 million globally (345 million native speakers, 528 million in India)
Regions: India (northern and central states including Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan, Haryana, Delhi), Nepal, diaspora communities in the United States, Mauritius, Fiji, and South Africa
Dialects: Standard Hindi (Khari Boli), Braj Bhasha, Awadhi, Bhojpuri, Magahi
Writing system: Devanagari script (abugida with 47 primary characters)
Language family: Indo-Aryan branch of the Indo-European language family
Hindi is widely used across India's massive multilingual market, particularly in call centers, healthcare, media, education, and legal services, making it a key language for customer support AI, call analytics, Bollywood media transcription, e-learning platforms, voice-enabled telemedicine, court documentation, and multilingual voice agents serving over 500 million Hindi speakers.
Deepgram includes everything required to produce accurate, readable, and secure Hindi transcripts out of the box.
Automatically detect and label who is speaking in multi-speaker Hindi conversations.
Apply automatic capitalization, paragraphing, and clean transcript structure for Hindi text.
Instantly find words or phrases inside long Hindi recordings without reprocessing audio.
Segment streaming Hindi audio into real-time sentence-level units for voice agents.
Add accurate punctuation and capitalization to Hindi transcripts for easy reading.
Automatically remove sensitive data like credit cards, phone numbers, and PII from Hindi transcripts.
Keyterm prompting for Hindi
Boost recognition of brand names, product terms, and domain-specific vocabulary in Hindi audio to improve keyword recall and transcript accuracy.
Automatic language detection
Identify when audio is spoken in Hindi and transcribe it without pre-selecting a language. For mixed-language datasets, sources, and batch transcription pipelines.
Multilingual speech recognition
Transcribe audio where speakers switch between Hindi and other supported languages in the same stream without model swapping or post-processing required.
Start with Hindi speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
Start transcribing Hindi audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.
