Hindi Speech to Text
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.
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Fast and accurate Hindi speech recognition for real-world audio
Get real-time Hindi speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.
Build Hindi Voice Agents with Flux Multilingual
Build and scale global voice agents with one model
Supports 10 languages in a single conversational model, enabling teams to build and deploy voice agents globally with one integration. No per-language infrastructure or model orchestration required.
Ultra-low latency conversational speech recognition
Model-based turn detection delivers accurate end-of-turn decisions in under 400 ms, keeping conversations fluid and responsive across languages.
Monolingual-grade accuracy with real-time control
Flexible real-time control through language hints or automatic detection, with native code-switching and dynamic adaptation as conversations evolve.
Hindi Language Overview
Speakers: 609 million total speakers
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.
Hindi Speech-to-Text Capabilities
Deepgram includes everything required to produce accurate, readable, and secure Hindi transcripts out of the box.
Diarization
Automatically detect and label who is speaking in multi-speaker Hindi conversations.
Smart formatting
Apply automatic capitalization, paragraphing, and clean transcript structure for Hindi text.
Search
Instantly find words or phrases inside long Hindi recordings without reprocessing audio.
Utterances
Segment streaming Hindi audio into real-time sentence-level units for voice agents.
Punctuation
Add accurate punctuation and capitalization to Hindi transcripts for easy reading.
Redaction
Automatically remove sensitive data like credit cards, phone numbers, and PII from Hindi transcripts.
Hindi Speech-to-Text features
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.
Scale beyond Hindi with one API
Start with Hindi speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
FAQs
Ready to build with Hindi speech to text?
Start transcribing Hindi audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.