1) Get an API key
Create an account and generate an API key in your dashboard.
Add it to an environment variable:
export AURIGIN_API_KEY=aurigin_test_1234567890abcdef
2) Upload a file and get a prediction
Send your audio file (3s minimum) directly to POST /predict. The API processes your audio in 5-second chunks and returns one prediction per chunk.
import os
import json
import requests
API_KEY = os.environ.get("AURIGIN_API_KEY", "aurigin_test_1234567890abcdef")
BASE_URL = "https://api.aurigin.ai/v1"
FILE_PATH = "path/to/your/recording.wav" # Replace with the path to your local audio file
with open(FILE_PATH, "rb") as f:
files = {
"file": (os.path.basename(FILE_PATH), f, "audio/wav")
}
r2 = requests.post(f"{BASE_URL}/predict", headers={"x-api-key": API_KEY}, files=files)
print("Multipart response:", r2.status_code, r2.json())
# The response contains predictions for each 5-second chunk of your audio
# For a 15-second file, you'll get 3 predictions: ["fake", "real", "fake"]
Errors
Check your API key and file size before making requests.
| Code | Description |
|---|
400 | Invalid input or file too large |
403 | Authentication failed (check x-api-key) |
500 | Internal error or upstream unavailability |
