What is Persian speech-to-text and how does it work?

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

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

Which Deepgram models support Persian speech-to-text?

Deepgram supports Persian 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 Persian in real time?

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

Does Deepgram support automatic language detection for Persian?

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 Persian transcripts?

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

How accurate is Deepgram for Persian 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 Persian speech-to-text API?

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

Persian Speech to Text

Convert Persian 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 Persian speech recognition for real-world audio

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Persian Language Overview

Speakers: 70-80 million total speakers

Regions: Iran (official language), Afghanistan (as Dari), Tajikistan (as Tajik), with significant diaspora communities in the United States, Canada, Uzbekistan, Pakistan, and Iraq

Dialects: Iranian Persian (Western Persian), Dari Persian (Eastern Persian), Tajik

Writing system: Modified Arabic script (Perso-Arabic) written right-to-left; Cyrillic script in Tajikistan

Language family: Indo-European family, Iranian branch, Western Iranian languages

Persian is widely used across Iran, Afghanistan, Tajikistan, and global diaspora communities, making it a key language for call center analytics, customer support AI serving Middle Eastern markets, multilingual healthcare services, media transcription, legal and immigration services, and voice-enabled education platforms.