Semantic Segmentation vs SegmentLens

Recognize objects in an image and automatically divide the area.

SegmentLens makes cutting out objects as easy as a conversation. Pick a photo and just say what you want—"the cat," "the sneaker on the left," "the plant on the table"—and SegmentLens finds the edges and lifts it out cleanly. Prefer not to type? Tap an object to select it, or draw a loop with your finger to grab a whole area. Powered by SAM's image-segmentation model, edges stay crisp and true to detail—no more pixel-by-pixel tracing. Features • Cut out by text: describe the object and let it find and segment it • Tap & lasso select: tap one, or loop a region for several • Multi-object detection: mark several objects at once with clear color-coded masks • Transparent PNG export: save straight to Photos with a fully transparent background—ready for stickers, posters, and product shots • Free sample scenes: try it instantly, no sign-in required • Import from your library or take a photo on the spot Great for E-commerce product shots, social stickers, collages, slide decks—anything that needs the subject kept and the background gone. About credits Processing your own photos uses credits (available via in-app purchase). The built-in sample scenes are completely free to explore. Imported photos are uploaded to the SegmentLens service for segmentation. • Lite — 150 credits • Standard — 550 credits • Pro — 1,600 credits • Max — 4,500 credits These are one-time purchases: nothing auto-renews and there is no recurring charge. Payment is charged to your Apple Account at confirmation of purchase. Credits are added to your account immediately and do not expire. Because credits are consumable, purchases are non-refundable except where required by law. Prices are shown in the App Store within the app and may vary by region. You can review past purchases in your Apple Account settings. Privacy Policy: https://sam3.ai/legal/privacy-policy Terms of Use: https://sam3.ai/legal/terms-of-service Download SegmentLens and cut anything out of any photo.