> For the complete documentation index, see [llms.txt](https://help.gpmloginapp.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.gpmloginapp.com/gpm-login-global-en/getting-started/understanding-fingerprints/hardware-audio.md). # Hardware: Audio Similar to Canvas and WebGL — which are characteristics of graphics cards — Audio Context is a characteristic of sound cards. The operating process is also similar: noise techniques are used to alter the rendered audio compared to the original audio, thereby creating a difference in the fingerprint. #### Characteristics of the noise technique: * The noise technique cannot make the audio rendered from sound card A exactly identical to the audio rendered from sound card B. This is similar to plastic surgery — you cannot completely transform Person A to be exactly like Person B in every detail, but can only make Person A "sound" different than before. * This technique helps create a very high level of diversity and uniqueness for the fingerprint. * However, the noise technique can be detected by large systems that collect and analyze big data for verification. Considering only the Audio parameter, there are tens of millions of identical computers worldwide (using the same type of sound card, the same operating system, and the same browser). But when the noise technique is applied, the level of uniqueness becomes very high. A simple example: Facebook has billions of users visiting every day, and they collect and store Audio hashes. When you visit Facebook, if your Audio fingerprint is identical to many other users, that is normal. However, if your fingerprint is unique, it is highly suspicious and almost impossible (because you cannot use a configuration of a sound card, operating system, and browser that absolutely no one else among those billions of users is using). --- # 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://help.gpmloginapp.com/gpm-login-global-en/getting-started/understanding-fingerprints/hardware-audio.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.