AI Fake Card Detector

Our AI detector has been trained on thousands of images of authentic and fake Pokémon cards. This is currently a first version, and the results are for guidance only, with the accuracy rate constantly improving. However, we always recommend supplementing the analysis with expert opinion for important decisions.

The AI examines multiple features including: paper texture, holographic patterns, typography, colors and shades, edges and cuts, barcodes, rarity symbols, and other microscopic details that distinguish authentic cards from counterfeits.

No. A modern smartphone with a good camera is sufficient. The most important thing is to have good lighting, sharp focus, and to capture both sides of the card against a neutral background. Avoid reflections and shadows for best results.

Yes, absolutely. All images are processed securely and never shared with third parties. We respect your privacy and the confidentiality of your collection. Images are used only for AI analysis and retraining.

Our system is trained to analyze Pokémon cards from various eras and sets. However, accuracy can vary depending on the card's age and rarity. Newer, more popular cards tend to perform better due to the greater amount of training data available.

If the result indicates a possible fake, we recommend: 1) Reviewing the photos and ensuring they are clear and sharp, 2) Rescanning the card, 3) Consulting a card authentication expert, 4) Contacting the seller if you recently purchased the card. Remember that the results are indicative.