Stop scrolling through thousands of photos trying to remember where something is. Just type what you remember— "rainy street at night with reflections", "smiling kid, warm light, shallow focus", "Blade Runner-style atmosphere"—and Photoreka finds it instantly.
No tagging. No folders. No metadata editing. Pure semantic search powered by computer vision AI that understands your photos the way you do.
Photoreka understands natural language, visual descriptions, emotions, styles, and even references to other photographers or films. If you can describe it, you can find it.
No black box. Here's exactly what happens when you type a query.
When you upload or sync your library, Photoreka's computer vision model processes each photo and extracts a high-dimensional visual embedding—a numerical representation that captures content, mood, composition, colors, and style.
When you type a search, Photoreka converts your text into a vector in the same semantic space as your photo embeddings using a multimodal AI model trained to align language and images.
A fast vector similarity search (cosine distance) finds the photos whose embeddings are closest to your query vector. Results are ranked by semantic relevance—not by filename, date, or metadata.
You can combine queries, filter by date or source, and use figurative or emotional language. The more specific your description, the more precise the results—even across 100,000+ photos.
Photoreka's search understands context, mood, composition, and intent—not just the words in your metadata.
Use everyday language—not boolean operators or keyword combinations. Describe a feeling, a scene, a lighting situation, or even a cinematic reference.
The AI reads the actual content of each image: subjects, objects, actions, colors, lighting, composition, depth of field, and mood—without any manual input from you.
Once your library is analyzed, searches are near-instantaneous regardless of catalog size. Vector similarity search is orders of magnitude faster than scanning metadata records.
Search for literal content ("red umbrella in the rain") or figurative associations ("solitude", "tension before a decision", "euphoria"). Both work equally well.
Found a photo you love? Use it as a query. Photoreka will surface visually similar images from your archive based on embedding proximity—not just similar colors, but similar intent.
Whether you have 100 or 5000 photos, search performance stays consistent. The more you have, the more powerful the discovery.
Also available in Lightroom Classic Already using Lightroom? Our official plugin brings the same AI-powered natural language search directly into your existing workflow—without leaving Lightroom or migrating your catalog. Install it, analyze your library once, and start searching naturally from within Lightroom's own panels.
Everything you need to know about AI photo search
Your archive has been waiting to be understood. Try the demo and search your photos the way you've always wanted—by describing what you see, feel, and remember.
Want to see how photos are organized in space? Explore the 3D Atlas