Audio

The audio endpoints offer three operations: text-to-speech (TTS), speech-to-text (STT) and speech-to-English translation.

Text-to-speech (TTS)

POST/v1/audio/speech

Converts text into a spoken audio file.

Request parameters (JSON)

Field	Type	Required	Description
model	string	✓	TTS model (e.g. blab-tts)
input	string	✓	Text to speak
voice	string	✓	Voice name
response_format	string		mp3 (default), opus, aac, flac
speed	number		Speed between 0.25–4.0
stream_format	string		For streamed output

Example

curl

curl https://app.qevron.ai/v1/audio/speech \
  -H "Authorization: Bearer $QEVRON_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "blab-tts",
    "input": "Hello, this audio was generated with Qevron.",
    "voice": "naz"
  }' --output output.mp3

Python

resp = client.audio.speech.create(
    model="blab-tts",
    input="Hello, this audio was generated with Qevron.",
    voice="naz",
)
resp.stream_to_file("output.mp3")

The response is binary audio data (e.g. Content-Type: audio/mpeg). When streaming, audio chunks arrive as SSE speech.audio.delta events.

Speech-to-text (STT)

POST/v1/audio/transcriptions

Transcribes an audio file into text. Uses multipart/form-data.

Form fields

Field	Type	Required	Description
model	string	✓	STT model (e.g. solab-stt)
file	file	✓	Audio file (wav, mp3, m4a, ...)
language	string		Language code (e.g. tr, en)
response_format	string		json (default), verbose_json, text

Example

curl

curl https://app.qevron.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $QEVRON_API_KEY" \
  -F "model=solab-stt" \
  -F "file=@recording.wav" \
  -F "language=en"

Python

with open("recording.wav", "rb") as f:
    resp = client.audio.transcriptions.create(
        model="solab-stt",
        file=f,
        language="en",
    )
print(resp.text)

Response

{ "text": "Hello, this is a test recording." }

With verbose_json you additionally get language, duration and segments.

Speech-to-English translation

POST/v1/audio/translations

Uses the same form fields as transcriptions, but the output text is translated into English. The language field is not needed.