What is Kannada speech to text and how does it work?

Speech to text (also called automatic speech recognition, or ASR) converts spoken Kannada 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 Kannada speech to text?

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

Which Deepgram models support Kannada speech to text?

Deepgram supports Kannada 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 Kannada in real time?

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

Does Deepgram support automatic language detection for Kannada?

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 Kannada transcripts?

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

How accurate is Deepgram for Kannada 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 Kannada Speech-to-Text API?

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

Kannada Speech to Text

Convert Kannada 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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Kannada Language Overview

Speakers: 44 million native speakers, plus 15 million as a second or third language

Regions: Karnataka (India), Tamil Nadu, Maharashtra, Andhra Pradesh, Telangana, and diaspora communities in the United States, Canada, Australia, Singapore, and Malaysia

Dialects: Southern, Northern, Central, and Coastal varieties, with modern standard based on the Mysore-Bangalore dialect

Writing system: Kannada script (abugida)

Language family: Dravidian

Kannada is widely used across Karnataka state and neighboring regions of India, making it a key language for call center operations, healthcare patient interactions, regional news transcription, e-learning platforms, legal documentation, and government services in one of India's major economic hubs.