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

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

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

Which Deepgram models support Czech speech to text?

Deepgram supports Czech 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 Czech in real time?

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

Does Deepgram support automatic language detection for Czech?

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 Czech transcripts?

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

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

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

Czech Speech to Text API | Fast & Accurate Transcription

Czech Speech to Text

Convert Czech 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 Czech speech recognition for real-world audio

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

Czech Language Overview

Speakers: 10.7 million

Regions: Czech Republic, with significant communities in Slovakia, Austria, Poland, and the United States

Dialects: Bohemian (central), Moravian (eastern), Silesian, Lach, mixed dialects

Writing system: Latin alphabet with diacritical marks (čárka, háček, kroužek)

Language family: Indo-European, Slavic, West Slavic

Czech is widely used across Central Europe and by diaspora communities worldwide, making it a key language for customer support, call center analytics, media transcription, e-commerce voice interfaces, and multilingual contact centers serving Czech-speaking markets.

Czech Speech-to-Text Capabilities

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

Diarization

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

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Smart formatting

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

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Search

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

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Utterances

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

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Punctuation

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

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Redaction

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

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Czech Speech-to-Text features

Keyterm prompting for Czech

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

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Automatic language detection

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

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