Advanced Deepfake Detection

Protect yourself from digital deception with our suite of AI-powered detection tools

Image Analysis

Detect manipulated photos

Our AI-powered analyzer detects pixel-level manipulations and GAN artifacts, helping you instantly verify image authenticity.

99.2% accuracySupports JPEG, PNG, and WebP formats
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Video Analysis

Frame-by-frame deepfake detection

Our system identifies AI-generated content through temporal inconsistencies, facial anomalies, and unnatural movements.

97.8% accuracySupports MP4, MOV, and WebM formats
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Audio Analysis

Voice authenticity verification

Detect synthetic voices, AI voice cloning, and spliced audio by analyzing spectral patterns and phonetic inconsistencies.

98.5% accuracySupports MP3, WAV, and M4A formats
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Understanding Deepfakes

Learn about synthetic media technology, its implications, and how to protect yourself

The Technology Behind Deepfakes

Deepfakes are synthetic media created using deep learning algorithms, specifically generative adversarial networks (GANs) and diffusion models. These AI systems can generate realistic images, videos, and audio that appear to show real people saying or doing things they never did.

Rapidly Evolving Technology

Deepfake quality doubles approximately every 6 months

Common Applications

  • Face swapping in videos and images
  • Synthetic voice generation and cloning
  • Full-body puppetry and motion transfer
  • Text-to-video generation

Distinguishing Factors

While technology continues to improve, most deepfakes still exhibit telltale artifacts like unnatural eye movements, lighting inconsistencies, audio-visual misalignment, and blurring around facial edges.

Potential Risks

Misinformation

Synthetic media can be used to spread false information by creating convincing but fake statements from public figures.

Identity Theft

Voice cloning can be used for authentication bypass and financial fraud.

Reputation Damage

Synthetic content can be used to portray individuals in compromising situations.

Trust Erosion

The mere existence of deepfakes can create a "liar's dividend" where authentic content is dismissed as fake.

Frequently Asked Questions

How accurate is the detection? Our models achieve 97-99% accuracy on benchmark datasets, though results may vary with real-world content.

Is my data private? Yes, all uploads are analyzed securely and not stored after processing. Your privacy is our priority.

Can I use this for commercial purposes? Currently our service is for personal use only. Contact us for custom solutions.

Ready to Protect Your Digital Identity?

Start with our deepfake detection tools and become part of the solution against digital deception