POST https://api.withperf.pro/v1/audio/speech

curl -X POST https://api.withperf.pro/v1/audio/speech \
  -H "Authorization: Bearer pk_live_abc123" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "input": "Welcome to Perf AI. We make AI routing simple and cost-effective.",
    "voice": "nova",
    "response_format": "mp3",
    "speed": 1.0
  }' \
  --output speech.mp3

const response = await fetch('https://api.withperf.pro/v1/audio/speech', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer pk_live_abc123',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'tts-1',
    input: 'Welcome to Perf AI. We make AI routing simple and cost-effective.',
    voice: 'nova'
  })
});

const audioBlob = await response.blob();
const audioUrl = URL.createObjectURL(audioBlob);
// Play or download the audio

import requests

response = requests.post(
    'https://api.withperf.pro/v1/audio/speech',
    headers={
        'Authorization': 'Bearer pk_live_abc123',
        'Content-Type': 'application/json'
    },
    json={
        'model': 'tts-1',
        'input': 'Welcome to Perf AI. We make AI routing simple and cost-effective.',
        'voice': 'nova'
    }
)

with open('speech.mp3', 'wb') as f:
    f.write(response.content)

POST https://api.withperf.pro/v1/audio/transcriptions

curl -X POST https://api.withperf.pro/v1/audio/transcriptions \
  -H "Authorization: Bearer pk_live_abc123" \
  -F "file=@meeting.mp3" \
  -F "model=whisper-1" \
  -F "language=en" \
  -F "response_format=json"

const formData = new FormData();
formData.append('file', audioFile);
formData.append('model', 'whisper-1');
formData.append('language', 'en');

const response = await fetch('https://api.withperf.pro/v1/audio/transcriptions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer pk_live_abc123'
  },
  body: formData
});

const data = await response.json();
console.log(data.text);

import requests

with open('meeting.mp3', 'rb') as audio_file:
    response = requests.post(
        'https://api.withperf.pro/v1/audio/transcriptions',
        headers={
            'Authorization': 'Bearer pk_live_abc123'
        },
        files={
            'file': ('meeting.mp3', audio_file, 'audio/mpeg')
        },
        data={
            'model': 'whisper-1',
            'language': 'en'
        }
    )

data = response.json()
print(data['text'])

{
  "text": "Welcome to the weekly team meeting. Today we'll discuss our Q1 goals and the upcoming product launch.",
  "perf": {
    "request_id": "req_trans_abc123",
    "model_used": "whisper-1",
    "audio_duration_seconds": 12.5,
    "cost_usd": 0.00125,
    "latency_ms": 2341
  }
}

{
  "text": "Welcome to the weekly team meeting.",
  "segments": [
    {
      "id": 0,
      "start": 0.0,
      "end": 2.5,
      "text": "Welcome to the weekly team meeting."
    }
  ],
  "language": "en",
  "perf": {
    "request_id": "req_trans_abc123",
    "model_used": "whisper-1",
    "audio_duration_seconds": 2.5,
    "cost_usd": 0.00025,
    "latency_ms": 890
  }
}

{
  "error": {
    "type": "invalid_request",
    "message": "input text is required",
    "param": "input"
  }
}

{
  "error": {
    "type": "invalid_request",
    "message": "File size exceeds maximum of 25MB"
  }
}

{
  "error": {
    "type": "invalid_request",
    "message": "Unsupported audio format. Supported: mp3, mp4, mpeg, mpga, m4a, wav, webm"
  }
}