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

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

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

Which Deepgram models support Telugu speech to text?

Deepgram supports Telugu 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 Telugu in real time?

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

Does Deepgram support automatic language detection for Telugu?

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 Telugu transcripts?

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

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

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

Telugu Speech to Text

Convert Telugu 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.

Sign Up Free Contact Sales

OR

Your transcriptions will show here.

Trusted by the world's top Enterprises and Startups

Fast and accurate Telugu speech recognition for real-world audio

Get real-time Telugu speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.

Telugu Language Overview

Speakers: 75 million worldwide

Regions: India (Andhra Pradesh, Telangana), United States (California, Texas, New Jersey, Illinois, Virginia, Georgia)

Dialects: Coastal Andhra, Rayalaseema, Telangana

Writing system: Telugu script

Language family: Dravidian

Telugu is the official language of Andhra Pradesh and Telangana in southeastern India, with a rapidly growing diaspora of 1.23 million speakers in the United States—making it the 11th most-spoken foreign language there. It is widely used in call centers, healthcare, media and entertainment, education (especially STEM programs), legal services, and IT/finance sectors, making it essential for call analytics, customer support AI, patient consultation transcription, media captioning, meeting transcription, and multilingual voice agents serving both Indian and US markets.