> For the complete documentation index, see [llms.txt](https://support.skylum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.skylum.com/how-to-use-luminar-neo/catalog/smart-search.md). # Smart Search {% @arcade/embed flowId="Kzi2342M0YI0mIyUk8d3" url="" %} **Smart Search** is an AI-driven search feature designed to make finding images more intuitive and efficient. It allows users to search for images through basic attributes like filenames, dates, or file extensions and by analyzing the images' content. For example, users can search using terms related to objects (e.g., "tree," "stop sign," "car"), scenes (e.g., "beach," "cityscape"), or specific details (e.g., "two smiling boys"). This feature leverages machine learning to recognize visual elements within images, providing a faster and more accurate way to locate specific visuals from a large image catalog. **How to Use Smart Search:** * **Keyboard Shortcut**: * **Windows**: Press **Ctrl**** + ****F** to activate Smart Search. * **macOS**: Press **Cmd**** + ****F** to activate Smart Search. * **Search Box**: Type your query directly into the search box to find images based on your criteria. You can search for: * **Objects** (e.g., "tree," "stop sign," "car") * **Scenes** (e.g., "beach," "cityscape") * **Specific Details** (e.g., "two smiling boys") --- # 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://support.skylum.com/how-to-use-luminar-neo/catalog/smart-search.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.