AI-Generated Image Detection

Overview

This endpoint helps you determine whether an image was fully AI-generated, or is a real photo/artwork. It works in two layers:

• Content credentials (C2PA): many generators (e.g. OpenAI and others) embed a cryptographically signed provenance manifest. When present it is decisive and names the tool. This layer is local and free.
• Pixel-level classifier: when no credential is present (most platforms strip them on upload), the model scores the image from its visual pixel content. It was trained on millions of AI-generated and human-made images spanning photography, art, drawings, memes and more.

The classifier is purely pixel-based and does not depend on metadata — stripping EXIF has no effect on it. The credential layer, by contrast, deliberately uses provenance: together, you get a definitive answer when a signature exists and a probability when it does not.

Use cases

• Tag AI-generated imagery to limit the spread of misinformation and fake news
• Apply stricter moderation rules to AI-generated imagery
• Detect potential fraud with fake IDs, fake profiles or fake claims
• Limit AI-generated spam
• Enforce bans on AI-generated imagery

Authentication

Authorization: Bearer YOUR_API_KEY

Model & pricing

Code examples

Send a public image URL, base64, or a direct file upload; pick a language and get a JSON response.

# ─── Detect whether an image is AI-generated ───────────────
curl -X POST https://api.apimodels.app/v1/images/detections \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "image": "https://example.com/photo.jpg" }'

# Response (synchronous):
# {
#   "code": 200, "msg": "success",
#   "data": {
#     "model": "ai-image-detector",
#     "is_ai_generated": true,
#     "verdict": "ai",              // ai | human | uncertain
#     "confidence": 0.99,
#     "generator": "OpenAI",        // best-effort, may be null
#     "decided_by": "classifier",   // content_credentials | classifier
#     "signals": { ... }
#   }
# }

# You can also send base64 instead of a URL:
#   -d '{ "image_base64": "<base64 or data:image/...;base64,...>" }'
# ...or upload a file directly (multipart):
#   -F "image=@photo.jpg"

Request parameters

Provide the image one of three ways: image (public URL), image_base64 (may include a data URI prefix), or a multipart form field named image.

Response fields (data)

Generators recognized

The classifier covers the major commercial and open-source generators currently in use, plus older GAN-based architectures. New generators are added on an ongoing basis as they appear.

On "which generator": with attribution enabled we return a best-effort generator when a signal is available (a C2PA claim, or classifier attribution). Full per-generator confidence scores are rolling out — contact us if you need finer-grained analysis.

FAQ