Convert Hungarian 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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Get real-time Hungarian speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.
Speakers: Approximately 13 million native speakers
Regions: Hungary, Romania (Transylvania), Slovakia, Serbia, Ukraine, and Croatian diaspora communities
Dialects: Western Transdanubian, Southern Great Plain, Northern dialect, Northeastern dialect, Central dialect, Székely dialect
Writing system: Latin-based alphabet with 44 letters, including digraphs and diacritical marks; historical Old Hungarian script (Rovásírás)
Language family: Uralic (Finno-Ugric branch)
Hungarian is widely used across Central and Eastern Europe in government services, education, media, and business sectors, making it a key language for call center analytics, customer support AI, media captioning, multilingual voice agents, and cross-border e-commerce applications.
Deepgram includes everything required to produce accurate, readable, and secure Hungarian transcripts out of the box.
Automatically detect and label who is speaking in multi-speaker Hungarian conversations.
Apply automatic capitalization, paragraphing, and clean transcript structure for Hungarian text.
Instantly find words or phrases inside long Hungarian recordings without reprocessing audio.
Segment streaming Hungarian audio into real-time sentence-level units for voice agents.
Add accurate punctuation and capitalization to Hungarian transcripts for easy reading.
Automatically remove sensitive data like credit cards, phone numbers, and PII from Hungarian transcripts.
Keyterm prompting for Hungarian
Boost recognition of brand names, product terms, and domain-specific vocabulary in Hungarian audio to improve keyword recall and transcript accuracy.
Automatic language detection
Identify when audio is spoken in Hungarian and transcribe it without pre-selecting a language. For mixed-language datasets, sources, and batch transcription pipelines.
Start with Hungarian speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
Start transcribing Hungarian audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.
