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

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

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

Which Deepgram models support Arabic speech to text?

Deepgram supports Arabic 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 Arabic in real time?

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

Does Deepgram support automatic language detection for Arabic?

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 Arabic transcripts?

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

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

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

Arabic Speech to Text

Convert Arabic 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 Arabic speech recognition for real-world audio

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Arabic Language Overview

Speakers: 310-370 million native speakers, over 400 million total speakers

Regions: Middle East, North Africa, Horn of Africa (Egypt, Algeria, Saudi Arabia, Sudan, Morocco, Iraq, Yemen, Syria, UAE, and 16 other countries)

Dialects: Modern Standard Arabic (MSA), Egyptian Arabic, Levantine Arabic, Gulf Arabic, Maghrebi Arabic, Iraqi Arabic

Writing system: Arabic script (right-to-left alphabetic system)

Language family: Semitic language family, Afro-Asiatic group

Arabic is widely used across the Middle East, North Africa, and the Arabian Peninsula, making it a key language for call center analytics, customer support AI, media captioning and broadcasting, healthcare documentation, legal and government services, financial services, multilingual voice agents, and telecommunications.