Find answers to common questions about SnapShop and how it works.
See SnapShop in action with this brief demonstration video.
SnapShop uses advanced computer vision and machine learning model to analyze the images you upload. It identifies objects, patterns, and styles in your photos, then matches them with similar products from our database. You'll receive personalized recommendations based on your visual preferences.
For best results, use clear, well-lit photos with a single main subject. Images with minimal background clutter and good contrast work best. You can upload photos of clothing, accessories, home decor, or any product you're interested in finding similar items for.
No, we respect your privacy. Images are processed temporarily to generate recommendations and are not stored permanently or shared with third parties. We only retain minimal metadata to improve our service, and you can delete this at any time.
When you find a product you like, click the "Click to Buy" button which will take you directly to the retailer's website where you can complete your purchase. SnapShop doesn't handle transactions directly but connects you with trusted retailers.
Yes! When you create an account, you can save favorite products to collections and even create mood boards. This helps the algorithm learn your preferences and provide better recommendations over time. But this is an underdevelopment feature... Stay tuned for it, coming soon!
Accuracy depends on image quality, the backend database population and the uniqueness of items. Sometimes inaccurate results might come as our database is still expanding and it is limited to less product categories for now. Try cropping to focus on the specific item, using better lighting, or trying our sample image to see how it works.