---
title: AI vs Real Image Detection
emoji: 🔍
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
license: mit
short_description: FastAPI ensemble AI image detection service
---

# 🔍 AI vs Real Image Detection

A FastAPI-based web service that detects whether images are AI-generated or real using ensemble model prediction.

## Features

- **FastAPI Backend**: High-performance async API
- **Ensemble Detection**: Uses multiple AI detection models for higher accuracy
- **CPU Optimized**: Runs efficiently on Hugging Face Spaces free tier
- **REST API**: Simple POST endpoint for image analysis

## API Endpoints

- `GET /` - Root endpoint with service information
- `GET /health` - Health check endpoint
- `POST /analyze` - Upload image for AI vs Real detection
- `GET /docs` - Interactive Swagger API documentation

## Usage

1. **Health Check**: `GET /health`
2. **Analyze Image**: `POST /analyze` with image file in form data
3. **API Docs**: Visit `/docs` for interactive documentation

## Response Format

```json
{
  "real_prob": 0.85,
  "ai_prob": 0.15,
  "analysis_time": 2.3,
  "device": "CPU"
}
```

## Models Used

- dima806/deepfake_vs_real_image_detection
- umm-maybe/AI-image-detector  
- Organika/sdxl-detector

Built with FastAPI, PyTorch, and Transformers. Optimized for CPU deployment.