Analyzes the input image passed with url and returns duplicates (i.e. counterfeits) against it. Uses state of the art computer vision AI to match the input image against all ETH & Polygon NFT images in our database and returns duplicates which pass the threshold.

Supported file formats: JPG, JPEG, PNG, PPM, BMP, PGM, TIF, TIFF, WebP.

Useful for:

• Increase customer trust and lower fraud - enable users to see if an NFT is unique or already minted/sold somewhere else by showing information on existing duplicate NFTs.
• Credit and protect creators - build processes that defend against IP theft and/or credit the original authors when their work has been used in similar NFTs.
• Enable and attract large IP holders (e.g. Disney) to upload content as NFTs by ensuring automatic copyright protection (similar to YouTube's Content ID).
• Finding original owner - find the NFT owner simply with the NFT image.

Related:

• To find similar NFTs which can be used as recommendations, see Find similar NFTs w/URL or Find similar NFTs w/file upload.