> For the complete documentation index, see [llms.txt](https://docs.batching.ai/meta-match/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.batching.ai/meta-match/nft-integration/using-nfts-in-game.md). # Using NFTs in Game ### Using NFTs in Game In Meta Match, NFTs are more than just digital artifacts; they play a vital part in the plot. Players can bring their own NFTs into the game and turn them into playable cards. This integration serves as a link between the ownership of digital art and active involvement in the gaming environment. ### Process for Extracting AI Images The system starts with the "NFT Extractor," which lets participants upload their own NFTs. The AI assesses the properties and descriptions of the given NFTs to determine game characteristics such as attack power, defense, and special abilities. Transforming NFTs into Meta Match cards is a crucial step since it accentuates the visual and descriptive parts of game. ### Whitelist NFTs NFT collections on the Meta Match whitelist receive new properties. This special registry grants increased rarity, enhanced skills, or benefits on select NFT collections. The whitelist system incentivizes users to participate in the game's ecosystem and promotes a dynamic NFT market by offering new utilities that enrich the overall gaming and trading experience. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.batching.ai/meta-match/nft-integration/using-nfts-in-game.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.