Microsoft has started rolling out semantic search capabilities to the Windows 11 Photos app, exclusively for Copilot+ PCs. Users can now find images by typing everyday descriptions like “sunset at the beach” or “cat sleeping on a couch,” with the search happening entirely on-device. This long-awaited feature eliminates the need for manual tagging or cloud uploads, offering a seamless way to navigate vast local photo libraries.

The new capability relies on natural language processing (NLP) and AI models that run on the dedicated Neural Processing Unit (NPU) inside Copilot+ PCs. Instead of merely matching filenames or metadata, the Photos app now understands the visual content of images—objects, scenes, colors, activities—and creates vector embeddings that allow for concept-based retrieval. Microsoft first teased this feature at its Build 2024 conference, positioning it as a flagship AI experience for the new class of AI PCs.

How Semantic Search Works in the Photos App

At its core, semantic search uses a machine learning model to analyze every photo and video in the user’s local Pictures folder (and any other indexed locations). The model extracts features such as people, landmarks, objects, text, lighting conditions, and even emotions. These features are then converted into high-dimensional vectors—mathematical representations that can be compared for similarity.

When a user types a query like “fireworks over a lake,” the Photos app converts that text into a vector using the same model and then finds images whose vectors are closest in meaning. Because the process runs on the NPU, it is both fast and energy-efficient, capable of indexing thousands of photos in the background without slowing down the system. The index is stored locally, and no data ever leaves the device, which addresses a major privacy concern for users who guard their personal photos.

Exclusive to Copilot+ PCs: Why an NPU Is Required

The semantic search feature is not available on conventional Windows 11 PCs. It requires a Copilot+ PC with an integrated NPU rated at 40 TOPS (trillions of operations per second) or higher. Qualcomm’s Snapdragon X Elite and X Plus chips were the first to meet this threshold, and the feature also works on newer Intel Core Ultra (Lunar Lake) and AMD Ryzen AI 300 series processors that carry the Copilot+ badge.

The NPU is purpose-built for AI workloads and can sustain high throughput without thermal throttling—something traditional CPUs or GPUs struggle with during continuous background indexing. Microsoft has made it clear that the NPU is not just a marketing checkbox; the semantic index requires consistent on-device inference that only dedicated AI silicon can deliver efficiently.

To check if a PC qualifies, users can open Settings > System > About and look for the “Copilot+ PC” designation, or run the Microsoft PC Health Check app. The feature is enabled automatically once the Photos app updates to version 2024.11090.29009.0 or later on Windows 11 24H2.

Getting Started: Indexing and Searching

Activation requires almost no user intervention. After the Photos app update, it will notify the user that semantic indexing is available and begin analyzing the library when the PC is idle and connected to power. The initial scan can take several hours for libraries with tens of thousands of images, but progress can be monitored in the Photos app settings under Semantic search > Indexing status.

Once indexing is complete, the search box at the top of the Photos app supports free-form natural language queries. Users can type anything from simple keywords (“birthday cake”) to complex phrases (“group selfie in front of a Christmas tree”). The app also supports negative queries? Actually, basic negation is not supported, but you can refine with additional terms.

Search results update in real time as the user types, and the app learns from user behavior—frequently accessed photos appear higher in results over time. Videos are also searchable; the model can extract keyframes and index them, so a clip showing a dog catching a frisbee will appear when searching “dog playing frisbee.”

The obvious competitor is Google Photos, which has offered semantic search for years—but with a critical difference: cloud dependency. Google’s search indexes photos on its servers, which raises privacy concerns and incurs latency. Microsoft’s implementation keeps everything local, meaning no internet connection is required after the initial model download (which happens automatically via Windows Update).

Apple’s Photos app on iPhone and Mac also provides on-device semantic search, but it is limited to Apple’s hardware ecosystem. Windows users now have a comparable, privacy-respecting solution—provided they own a Copilot+ PC. In testing, the speed and accuracy of Microsoft’s indexing rival both Apple’s and Google’s offerings, though the feature is still in its early stages and may miss some nuanced queries.

Real-World Use Cases and Practical Tips

Early adopters on Windows forums have highlighted several scenarios where semantic search has transformed their workflow:

  • Quick photo retrieval for projects: Designers and content creators can instantly find images matching a specific color palette or composition, such as “blue background with abstract shapes.”
  • Family photo management: Parents can search for “kids playing in the park” without scrolling through years of memories.
  • Travel photography: A query like “Eiffel Tower at sunrise” pulls up the exact vacation shot from a massive library.
  • Document scanning: The feature also recognizes text within images (OCR), so searching for “receipt from Costco” may return a photo of a paper receipt.

Users have reported that the search quality improves over time as the model refines its understanding of individual libraries. However, it is not infallible—images with heavy filters or unusual angles might not be indexed perfectly.

Privacy and Security: Keeping Your Photos Yours

Microsoft designed the entire pipeline with privacy as a priority. The AI model (reportedly a fine-tuned version of Phi Silica, optimized for Snapdragon NPUs, or a similar small language model for Intel/AMD NPUs) runs locally, and the vector index never leaves the device. Even if a user has OneDrive backup enabled, the semantic index remains isolated to the local machine; it is not synchronized to the cloud.

Moreover, the Photos app indexes only what the user can see in their local folders. If a folder is excluded from the Windows Search index, it will not be scanned. Users can pause indexing at any time and delete the semantic index from the Privacy & security section of Photos settings without deleting the actual photos.

Microsoft has also committed to transparency: the feature is clearly labeled as “Semantic search” in the app, and no telemetry data about the content of photos is collected. Only generic usage statistics (e.g., frequency of searches) are sent back, following the standard Windows diagnostic data settings.

Troubleshooting Common Issues

While the feature generally works well, some Copilot+ PC owners have encountered hitches:

  • Indexing stuck: If indexing remains at “0%” for hours, restarting the Photos app or rebooting the PC often resolves it. In some cases, resetting the Photos app via Settings > Apps > Photos > Advanced options > Reset kick-starts the process.
  • Missing photos in search results: Ensure that the photos are stored in a folder that is included in the Windows Search index (by default, the Pictures folder is). Go to Settings > Privacy & security > Searching Windows and verify indexing locations.
  • High CPU usage: While the NPU handles most of the heavy lifting, the initial scan can still consume some CPU. To keep things cool, indexing only runs when the device is idle and on AC power by default.
  • Language support: As of now, English (US and UK) receives the best support. Microsoft is working on expanding semantic search to other languages, with German, French, and Spanish expected in future updates.

The Bigger Picture: AI-Powered Windows Experiences

The semantic search in Photos is just one piece of a broader push to integrate AI into Windows 11 via Copilot+ PCs. Other exclusive features include Recall (a timeline of PC activity), Real-time captions and translations, and Paint Cocreator. All of these rely on the same NPU infrastructure, signaling Microsoft’s strategic bet that AI hardware will become a standard component of all future PCs.

This move also pressures third-party developers to adopt on-device AI. Adobe Lightroom and Capture One, for instance, already use GPU-accelerated AI tagging, but a universal Windows semantic index could offer a platform advantage. Developers can tap into the same vector database through Windows AI APIs, potentially enabling cross-app image search.

What’s Next for the Photos App

The Photos app team has hinted at upcoming enhancements in feedback channels and community calls. Likely additions include:

  • Multi-language support: As mentioned, more languages will be added, and the model may become language-agnostic over time.
  • Enhanced filtering: Combining semantic search with traditional filters (date taken, location, file type) will allow queries like “sunset photos from last summer.”
  • Shared indexing for network drives: Currently, only local folders are indexed; network locations and external drives are excluded, but support for these is under consideration.
  • Integration with File Explorer: A long-term goal is to surface semantic search results directly in File Explorer’s search, blurring the line between file management and photo management.

The Photos app itself has evolved from a basic viewer to a hub for AI-driven organization. Features like optical character recognition (OCR) in screenshots, automatic album creation, and now semantic search make it a credible competitor to Google Photos for privacy-conscious users.

Should You Upgrade to a Copilot+ PC for This Feature?

For users sitting on massive photo libraries, the allure of instant, natural language search is strong—but it comes with a hardware buy-in. Copilot+ laptops start around $999, with Qualcomm-based models offering the best battery life and AI performance. As Intel and AMD ramp up their NPU-equipped processors, prices will likely drop, widening access.

The feature itself requires no subscription or extra fees; it’s included with Windows 11 24H2 and the Photos app update. For those who prioritize privacy and offline capability, it is a standout feature that justifies the Copilot+ investment. However, if cloud-based search like Google Photos’ works adequately, and the PC is not ready for replacement, jumping in solely for semantic search may not be worth the cost—yet.

Microsoft is betting that as users accumulate terabytes of photos and videos, the need for efficient, private search will become essential. Early feedback from the Windows community suggests that once users experience the convenience, they find it hard to go back to manual folder browsing.

Final Thoughts

Semantic search in the Windows 11 Photos app finally brings the kind of intelligence that smartphone users have taken for granted to the desktop—without sacrificing privacy. By requiring a Copilot+ PC, Microsoft ensures a smooth, energy-efficient experience, even if it limits the initial audience. The local-first approach aligns with a growing demand for AI that respects user data boundaries.

As the feature matures and more Copilot+ devices enter the market, expect it to become a default expectation for photo management on Windows. For now, it stands as a compelling reason to consider Microsoft’s AI PC vision.