> 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-for-desktop/catalog/smart-search.md). # Smart Search Learn how to quickly find your photos using Luminar for Desktop's Smart Search feature, which filters images by metadata, file name, or keywords for efficient workflows. {% @arcade/embed url="" flowId="Kzi2342M0YI0mIyUk8d3" %} **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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://support.skylum.com/how-to-use-luminar-for-desktop/catalog/smart-search.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.