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Deepgram: Aura-2: audio model

Aura-2 is Deepgram's multilingual text-to-speech model, with a catalogue of 90 voices across several languages. Reachable from inside Iran through Hormouz.

Pricing:
$30/M characters
Type:
audio
  • Audio

Aura-2 is a multilingual text-to-speech model from Deepgram, using Deepgram's Aura-2 voice catalogue.

Its 90 voices cover English, Spanish, French, Japanese and more; each voice id ends with its language code, such as aura-2-thalia-en. Hormouz serves Aura-2 on two endpoints: the OpenAI-compatible /v1/audio/speech, which returns the audio in the same response, and /v1/predictions for background jobs. Set voice to one of the model's own voices, for example "aura-2-thalia-en", and response_format to mp3 or pcm.

Billing is per character of input text; the current rate is in the price table on this page, and you pay only for what you use. Hormouz provides stable access to it from inside Iran, with no foreign credit card or circumvention tooling required.

Aura-2 is a multilingual text-to-speech model from Deepgram. It supports Deepgram’s canonical Aura-2 voice catalog for speech synthesis across multiple languages.

Quickstart

curl https://api.hormouz.net/v1/audio/speech \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepgram/aura-2","voice":"aura-2-thalia-en","input":"Hello from Hormouz.","response_format":"mp3"}' \
  --output speech.mp3

Specs

VendorDeepgram
TypeAudio
Context window—
Pricing$30/M characters
APIspeech

Code example

cURL
curl https://api.hormouz.net/v1/audio/speech \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepgram/aura-2","voice":"aura-2-thalia-en","input":"Hello from Hormouz.","response_format":"mp3"}' \
  --output speech.mp3
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
with client.audio.speech.with_streaming_response.create(
    model="deepgram/aura-2",
    voice="aura-2-thalia-en",
    input="Hello from Hormouz.",
    response_format="mp3",
) as resp:
    resp.stream_to_file("speech.mp3")
JavaScript
import OpenAI from "openai";
import { writeFile } from "node:fs/promises";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const speech = await client.audio.speech.create({
  model: "deepgram/aura-2",
  voice: "aura-2-thalia-en",
  input: "Hello from Hormouz.",
  response_format: "mp3",
});
await writeFile("speech.mp3", Buffer.from(await speech.arrayBuffer()));

Buy the Deepgram: Aura-2 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Deepgram: Aura-2 and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an account

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FAQ

How much does Aura-2 cost?
Billing is per character of input text; the current rate is in the price table on this page, and you pay only for what you use.
How do I use Aura-2 from inside Iran?
Create a Hormouz account and generate an API key. Hormouz gives you a stable route to the model from inside Iran, with no foreign credit card or circumvention tooling needed.
How do I call Aura-2?
Hormouz serves Aura-2 on two endpoints: the OpenAI-compatible /v1/audio/speech, which returns the audio in the same response, and /v1/predictions for background jobs. Set voice to one of the model's own voices, for example "aura-2-thalia-en", and response_format to mp3 or pcm.
How do I choose the language with Aura-2?
Pick a voice in that language: the language code at the end of the voice id (for example -en, -es, -fr, -ja) sets it.

Updated 2026-10-13