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

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

Yes. Deepgram supports automatic speech recognition (ASR) for Norwegian audio. You can transcribe real-time or prerecorded audio by setting `language=no` in your API request.

Which Deepgram models support Norwegian speech to text?

Deepgram supports Norwegian 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 Norwegian in real time?

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

Does Deepgram support automatic language detection for Norwegian?

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 Norwegian transcripts?

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

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

Sign up for a free Deepgram account to access your API key. You can test Norwegian transcription instantly in the Playground , or call the API directly by sending audio to `/v1/listen` with `language=no`. Starter apps and code examples are available on GitHub.

Norwegian Speech to Text API | Fast & Accurate Transcription

Norwegian Speech to Text

Convert Norwegian 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 Norwegian speech recognition for real-world audio

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

Norwegian Language Overview

Speakers: 5 million

Regions: Norway (primary), United States, Canada, United Kingdom

Dialects: Bokmål, Nynorsk, Urban East Norwegian (Oslo), West Norwegian (Bergen), North Norwegian (Tromsø), Trøndersk (Trondheim)

Writing system: Latin alphabet (29 letters)

Language family: North Germanic (Indo-European)

Norwegian is widely used across Norway's high-tech economy and public sectors, making it a key language for call center analytics, healthcare transcription, media captioning, legal documentation, customer support AI, and educational technology.

Norwegian Speech-to-Text Capabilities

Deepgram includes everything required to produce accurate, readable, and secure Norwegian transcripts out of the box.

Diarization

Automatically detect and label who is speaking in multi-speaker Norwegian conversations.

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Smart formatting

Apply automatic capitalization, paragraphing, and clean transcript structure for Norwegian text.

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Search

Instantly find words or phrases inside long Norwegian recordings without reprocessing audio.

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Utterances

Segment streaming Norwegian audio into real-time sentence-level units for voice agents.

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Punctuation

Add accurate punctuation and capitalization to Norwegian transcripts for easy reading.

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Redaction

Automatically remove sensitive data like credit cards, phone numbers, and PII from Norwegian transcripts.

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Norwegian Speech-to-Text features

Keyterm prompting for Norwegian

Boost recognition of brand names, product terms, and domain-specific vocabulary in Norwegian audio to improve keyword recall and transcript accuracy.

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Automatic language detection

Identify when audio is spoken in Norwegian and transcribe it without pre-selecting a language. For mixed-language datasets, sources, and batch transcription pipelines.

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