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

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

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

Which Deepgram models support Turkish speech to text?

Deepgram supports Turkish 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 Turkish in real time?

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

Does Deepgram support automatic language detection for Turkish?

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 Turkish transcripts?

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

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

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

Turkish Speech to Text API | Fast & Accurate Transcription

Turkish Speech to Text

Convert Turkish 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 Turkish speech recognition for real-world audio

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

Turkish Language Overview

Speakers: 85 million native speakers

Regions: Turkey, Cyprus, Germany, Netherlands, Austria, Balkans, Central Asia, Middle East

Dialects: Eastern Anatolian, Black Sea (Karadeniz), Aegean/Western, Cypriot Turkish, Rumeli (Balkan Turkish)

Writing system: Latin-based alphabet with 29 letters

Language family: Turkic language family, Oghuz branch

Turkish is widely used across Turkey, Europe, and Central Asia, making it a key language for call center analytics, customer support AI, healthcare transcription, media captioning, legal documentation, and multilingual voice agents.

Turkish Speech-to-Text Capabilities

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

Diarization

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

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Smart formatting

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

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Search

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

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Utterances

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

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Punctuation

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

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Redaction

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

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Turkish Speech-to-Text features

Keyterm prompting for Turkish

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

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Automatic language detection

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

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