Deepfake Detection

Endpoint

POST /v3/universal-ai (sync)

Model string pattern: image/deepfake_detection/{provider}[/{model}]

Input

Field	Type	Required	Description
file	file_input	Yes	Image file ID from /v3/upload or direct file URL

Output

Field	Type	Required	Description
deepfake_score	float	Yes
prediction	enum	Yes

Available Providers

Provider	Model String	Price
sightengine	image/deepfake_detection/sightengine	$0.002 per image

Quick Start

Python

import requests

url = "https://api.edenai.run/v3/universal-ai"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

payload = {
    "model": "image/deepfake_detection/sightengine",
    "input": {
        "file": "YOUR_FILE_UUID_OR_URL"
    }
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

curl -X POST https://api.edenai.run/v3/universal-ai \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "image/deepfake_detection/sightengine",
    "input": {"file": "YOUR_FILE_UUID_OR_URL"}
  }'