Deepgram Expands Nova-3 with Italian, Turkish, Norwegian, and Indonesian Support

Building on our global momentum, Nova-3 continues its language expansion with Italian, Turkish, Norwegian, and Indonesian, further extending enterprise-grade voice AI across new regions and linguistic systems.

These four languages bridge Europe and Asia and introduce a wider range of speech structures, accents, and phonetic patterns than ever before. From vowel-rich Romance tones to agglutinative suffix chains, Nova-3 demonstrates its ability to understand the world’s linguistic diversity with accuracy, speed, and adaptability.

While earlier Nova-3 updates brought coverage to European and global bridge languages such as German, Spanish, French, and Portuguese, this release marks a new stage defined by structural and phonetic diversity.

• Italian: A rhythmically regular, vowel-heavy language known for fast conversational flow and clear articulation.
• Turkish: Agglutinative and rule-driven, characterized by long compound words and strict vowel harmony.
• Norwegian: Tonal pitch accents and regional variation between Bokmål and Nynorsk make pronunciation highly variable.
• Indonesian: A hybrid language blending Malay roots, English loanwords, and regional inflection, often used in multilingual environments.

These additions show how Nova-3 continues to evolve, not just expanding in coverage but also in complexity, performing across vastly different grammatical systems and phonetic patterns.

Each of these new languages opens doors for enterprises operating across Europe and Asia.

• Italian: Banking, insurance, and customer service sectors that demand precise transcription for regulatory compliance.
• Turkish: Contact centers and fintech applications serving a fast-growing regional market that bridges Europe and the Middle East.
• Norwegian: Nordic enterprises emphasizing secure, compliant voice data solutions for customer support and analytics.
• Indonesian: Expanding tech ecosystems across Southeast Asia relying on real-time transcription for marketplaces, logistics, and customer interaction.

Whether handling a medical transcript in Milan, a financial conversation in Istanbul, or a multilingual call in Jakarta, Nova-3 brings the same enterprise-ready reliability across regions.

Beyond accuracy, Nova-3 includes Keyterm Prompting, Deepgram’s self-service customization feature that allows developers to inject up to 100 domain-specific terms directly into transcription. This capability is especially valuable for these languages, where context and morphology can shift meaning dramatically. Turkish’s long compound forms, Indonesian’s mix of English and regional terms, or Norwegian’s evolving loanwords can all be handled without retraining. Even specialized industry vocabulary, such as Italian pharmaceuticals, Turkish fintech products, or Indonesian brand names, can be added instantly to improve precision.

Nova-3 continues to deliver measurable accuracy gains over Nova-2, reducing Word Error Rate (WER) across both batch and streaming modes.

The results confirm a consistent pattern: streaming models show stronger relative WER improvements, reinforcing Nova-3’s ability to operate in dynamic, real-time environments where responsiveness and stability are essential.

Word Error Rate (WER) – Relative Improvement (Italian, Turkish, Norwegian, Indonesian):

Key highlights:

• All four languages show double-digit relative WER reductions compared to Nova-2.
• Streaming models outperform batch across the board, with notable improvements in Turkish and Indonesian, reflecting robustness under variable speech conditions.
• Accuracy gains extend to dialectal and informal speech, confirming Nova-3’s linguistic adaptability.

These benchmarks highlight Nova-3’s continued evolution, improving not only across similar language families but across structurally diverse ones as well.

This expansion shows Nova-3’s growing maturity as a global ASR foundation for enterprises building multilingual products and services. From phonetic clarity to morphological complexity, Nova-3 adapts to each language’s structure rather than applying a one-size-fits-all approach.

For developers and enterprises, this means:

• Broader coverage with consistent model performance across regions.
• Improved recognition in both formal and conversational contexts.
• Reduced latency and errors in multilingual voice workflows.
• Flexible customization through Keyterm Prompting for fast adaptation to new terminology.

Switching to Italian, Turkish, Norwegian, or Indonesian in Nova-3 is as simple as adding a language parameter to your request. For example:

curl --request POST \
  --header "Authorization: Token YOUR_DEEPGRAM_API_KEY" \
  --header "Content-Type: audio/wav" \
  --data-binary @youraudio.wav \
  "https://api.deepgram.com/v1/listen?model=nova-3&language=it"

Replace language=it with tr, no, or id to transcribe Turkish, Norwegian, or Indonesian audio, respectively.

Explore more options in the Models & Languages Overview.

With Italian, Turkish, Norwegian, and Indonesian now available, Nova-3 continues its journey toward global coverage, building a foundation for voice AI that understands every accent, every region, and every language structure.

This release sets the stage for the next wave of expansions across Asia and Eastern Europe as Deepgram continues to deliver voice AI that is both globally accessible and locally precise.

Sign up free and unlock $200 in credits - enough to power over 750 hours of transcription or 200 hours of speech-to-text in Italian, Turkish, Norwegian, or Indonesian. Explore more details on our Models & Language Overview page and dive into Nova-3’s world-class accuracy and adaptability across global markets.

Join a growing community of innovators: your feedback will directly influence upcoming language support, helping shape the next wave of Deepgram’s global voice AI.

Stay in the loop: Subscribe now to receive priority announcements on new features and language expansions, as Deepgram continues to scale globally with confidence.