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

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

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

Which Deepgram models support Bengali speech to text?

Deepgram supports Bengali 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 Bengali in real time?

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

Does Deepgram support automatic language detection for Bengali?

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 Bengali transcripts?

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

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

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

Bengali Speech to Text

Convert Bengali 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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Bengali Language Overview

Speakers: 242 million native speakers, 272-284 million total speakers

Regions: Bangladesh (official language, 98% first-language adoption), India (West Bengal, Tripura, Assam's Barak Valley, Jharkhand), with diaspora communities across the Middle East, UK, US, Canada, Singapore, Malaysia, and Australia

Dialects: West Bengal, East Bengal (Bangladesh), Tripura, Barak Valley (southern Assam), Odia-influenced (Odisha/Jharkhand), Bihari-influenced (Bihar)

Writing system: Bengali script (Bangla lipi), an abugida derived from the Brahmic family

Language family: Indo-Aryan (Indo-European)

Bengali is the sixth most spoken native language globally and is widely used across South Asia's growing digital economy, making it a critical language for call center analytics, customer support AI in BPO operations, telemedicine and healthcare documentation, media transcription for regional news and entertainment, multilingual education platforms, and legal court reporting across Bangladesh and eastern India.