AI-Powered Detection Engine

Is that video Real or AI?

Upload any video footage to analyze temporal artifacts, deepfake signatures, and generative inconsistencies. Powered by advanced computer vision.

Drop your file here

Supports MP4, MOV, AVI, JPG, PNG up to 100MB

filename.mp4
0 MB

How It Works

Our three-step process uses advanced machine learning to detect manipulated media

01

Upload Video

Drag and drop your video file or select from your device. We support MP4, MOV, and AVI formats up to 100MB.

02

AI Analysis

Our algorithms analyze temporal artifacts, facial inconsistencies, and deepfake signatures frame by frame.

03

Get Results

Receive a detailed authenticity report with confidence scores and visual markers highlighting detected manipulations.

Accuracy & Performance

Real-time statistics from analyzed videos

97.8%
Detection Accuracy
0.3s
Average Analysis Time
50K+
Videos Analyzed
99.2%
True Positive Rate

*Statistics updated in real-time from user-submitted analyses. Performance may vary depending on video quality and manipulation technique.

About the Project

Thesis project in Computer Science

Deepfake Detection Using Temporal Consistency Analysis

This research explores advanced deep learning techniques for detecting AI-generated video content. By analyzing temporal inconsistencies and frame-level artifacts, our system identifies manipulated media with high precision.

Developed as part of a Computer Science thesis, this prototype demonstrates the practical application of computer vision and machine learning in combating digital misinformation.

  • Author Mejares | Nacion | Mellomida | Sevilla
  • Year 2026
  • Department College of Informatics - Computer Science

Technologies Used

  • Python & TensorFlow
  • OpenCV for video processing
  • Convolutional Neural Networks
  • Recurrent Neural Networks (LSTM)
  • Flask web framework
  • Firestore Database