Danish speech-to-text
Transcribe and translate speech across 60+ languages with the speed and accuracy real-time experiences demand.
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Fast and accurate Danish speech recognition for real-world audio
Get real-time Danish speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.
Danish language overview
Speakers: 6 million total speakers
Regions: Denmark, Greenland, Faroe Islands, Germany (Southern Schleswig), Scandinavia, and diaspora communities in the US, Canada, and Australia
Dialects: Insular Danish (Østdansk/Standard Danish), Jutlandic (Jysk), Bornholmsk
Writing system: Latin alphabet with 29 letters (A–Z plus Æ, Ø, Å)
Language family: Indo-European > Germanic > North Germanic > East Scandinavian
Danish is widely used across Scandinavia, Denmark's high-tech economy, and Nordic business sectors, making it a key language for call center analytics, customer support AI in banking and telecom, healthcare transcription in universal care systems, media captioning for broadcasters like DR, legal court recordings, and multilingual voice agents serving the Nordic market.
Danish speech-to-text capabilities
Diarization
Automatically detect and label who is speaking in multi-speaker Danish conversations.
Smart formatting
Apply automatic capitalization, paragraphing, and clean transcript structure for Danish text.
Search
Instantly find words or phrases inside long Danish recordings without reprocessing audio.
Utterances
Segment streaming Danish audio into real-time sentence-level units for voice agents.
Punctuation
Add accurate punctuation and capitalization to Danish transcripts for easy reading.
Redaction
Automatically remove sensitive data like credit cards, phone numbers, and PII from Danish transcripts.
Keyterm prompting for Danish
Boost recognition of brand names, product terms, and domain-specific vocabulary in Danish audio to improve keyword recall and transcript accuracy.
Voice AI that performs in the real world
Low latency. Effortless scale. Production-grade reliability. Everything you need to build and run real-time voice experiences.
Domain-aware speech
Understand specialized terminology, names, accents, and industry-specific language with production-grade accuracy.
Expressive voices
Give every interaction a natural, consistent voice that adapts its tone when the conversation changes.
Context-aware delivery
Carry meaning, tone, and conversational state across turns so agents listen and respond more naturally.
Scale beyond Danish with one API
Start with Danish speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
FAQ
Speech-to-text (also called automatic speech recognition, or ASR) converts spoken Danish 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.
Yes. Deepgram supports automatic speech recognition (ASR) for Danish audio. You can transcribe real-time or prerecorded audio by setting `language=da-DK` in your API request.
Deepgram supports Danish in the Nova model family. Model availability may vary by language, so check the Models & Languages page for the latest support details.
Yes. Deepgram provides low-latency streaming transcription for Danish, suitable for live voice agents, call analytics, captioning, and other real-time applications.
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.
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.
Deepgram supports timestamps, punctuation, diarization, numeral formatting, filler-word detection, redaction, and more — all through the API.
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. Danish presents unique phonetic challenges including the stød glottal stop, soft consonants, and 18 vowel distinctions, but Deepgram's models are trained to handle these complexities and regional dialect variations from Copenhagen to Jutland.
Sign up for a free Deepgram account to access your API key. You can test Danish transcription instantly in the Playground, or call the API directly by sending audio to `/v1/listen` with `language=da-DK`. Starter apps and code examples are available on GitHub.
Ready to build with Danish speech-to-text?
Start transcribing Danish audio with Deepgram's speech-to-text API. It is fast, accurate, and built for real-time applications.
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