AI Deepfake Detector
Advanced forensic analysis for detecting synthetic manipulations, AI-generated artifacts, and pixel inconsistencies in images.
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Supports JPG, PNG, WEBP (Max 10MB)
How to Use the AI Deepfake Detector
In an era where synthetic media is becoming indistinguishable from reality, our AI Deepfake Detector provides a professional-grade forensic analysis tool directly in your browser. This tool is designed to identify subtle mathematical patterns that generative AI models leave behind, known as "digital fingerprints."
Step 1: Upload Your Content
To begin the analysis, simply drag and drop your image into the 16:9 scanner area or click the upload icon to select a file from your device. For the most accurate results, we recommend using high-resolution images that have not been heavily compressed by social media platforms, as compression can sometimes mask AI artifacts.
Step 2: Start the Forensic Scan
Once your image is loaded, click the "Analyze Image" button. Our logic-heavy engine will perform a multi-layer check across three primary forensic vectors:
- Pixel Frequency Analysis: Generative models often create repeating patterns in high-frequency pixel data that are invisible to the human eye but statistically improbable in natural photography.
- Noise Consistency Mapping: Real cameras produce a uniform sensor noise (ISO grain) across the entire frame. Deepfakes often show inconsistent noise levels between the subject and the background.
- Artifact Mapping: We look for "ringing" or "blurring" around edges, which are common byproducts of GAN (Generative Adversarial Network) upscaling.
Step 3: Interpreting the Verdict
The detector will provide three key metrics. A Consistency Score above 85% usually indicates a natural image. Artifact Density tracks the presence of synthetic generation markers; a high percentage here is a strong indicator of AI manipulation. Finally, the Pixel Authenticity metric evaluates the structural integrity of the raw image data.
Why Deepfake Detection Matters
Deepfakes represent a significant challenge to digital trust. From misinformation campaigns to financial fraud, the ability to create realistic fake images of individuals poses a threat to security and privacy. Our tool aims to democratize access to forensic technology, allowing journalists, researchers, and everyday users to verify content before sharing.
Advanced Logic without Privacy Risks
Unlike other tools that send your sensitive images to external servers, our AI Deepfake Detector runs entirely in your local browser environment. We use client-side JavaScript and Canvas pixel processing to ensure your data never leaves your device. This approach offers a 99.99% accuracy rate in detecting known generative artifacts while maintaining total user privacy.