> For the complete documentation index, see [llms.txt](https://docs.coreterminal.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coreterminal.ai/product/key-features/advanced-ai-capabilities/image-video-music-processing.md). # Image/Video/Music Processing The platform supports a wide range of media processing capabilities, including image recognition, video analysis, and music synthesis. These features enable users to develop sophisticated applications in fields such as entertainment, security, and media production, leveraging AI to create innovative solutions. The Core Terminal’s image recognition technology can be used for tasks such as facial recognition, object detection, and image classification, providing powerful tools for security and surveillance applications. The platform’s video analysis capabilities enable developers to create advanced video editing and enhancement tools, automate video content moderation, and analyze video data for valuable insights. Additionally, the platform’s music processing features allow users to create and manipulate audio content, opening up new possibilities for music production, sound design, and personalized audio experiences. --- # 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.coreterminal.ai/product/key-features/advanced-ai-capabilities/image-video-music-processing.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.