Audio transcription and speech

Zorveus routes text-to-speech (/v1/audio/speech) and audio transcription (/v1/audio/transcriptions) requests using OpenAI-compatible audio models.

Generate speech

from openai import OpenAI

client = OpenAI(
    base_url="https://api.zorveus.com/v1",
    api_key="zrv_your_api_key",
)

response = client.audio.speech.create(
    model="openai/tts-1",
    voice="alloy",
    input="Welcome to Zorveus. Your unified AI billing and gateway platform.",
)

response.stream_to_file("output.mp3")

The response is binary audio. Write it to a file or stream it with the content type returned by the gateway. The selected model determines the available voices and response formats.

Transcribe audio

from openai import OpenAI

client = OpenAI(
    base_url="https://api.zorveus.com/v1",
    api_key="zrv_your_api_key",
)

with open("meeting.wav", "rb") as audio_file:
    transcript = client.audio.transcriptions.create(
        model="openai/whisper-1",
        file=audio_file,
    )

print(transcript.text)

Use GET /v1/models before selecting either model. Audio formats, file limits, voices, language options, and output formats depend on the provider route.

Do not put the API key in browser or mobile code. Upload audio to your backend, or mint a purpose-built short-lived credential only when a documented flow supports it.