Demo Photos, Clean Sticker PNGs

The portrait is the hardest of the three examples because the subject is surrounded by trees, pavement, fencing, and other shapes with varied texture. Hair creates many narrow boundary decisions, the shoulder strap introduces a thin object worth keeping, and the open area beside the arm can trap pieces of the old background. The exported result remains recognizable as a portrait, but gray areas beside the hair and beneath the arm show why an automatic cutout should be reviewed before close-up use.

The displayed portrait result is a 1045 by 1432 transparent PNG. It used the default subject scale and position, plus the white outline set to 12 pixels. No Erase or Restore work was applied before this file was exported. That detail matters: the visible gray patches are evidence of the default result, while the cleanup instructions describe what a user could do next. They are not a claim that the displayed file was manually corrected.

For a small reaction sticker, first zoom out and decide whether the face, shirt, and overall pose read clearly. For a larger social graphic, inspect the hair boundary, the space around the arm, and the end of the strap. Erase can remove isolated background patches; Restore should be used carefully where hair or clothing was lost. Switching between light and dark preview surfaces helps reveal a fringe that blends into one background but stands out on another.

The cat demonstrates a different failure pattern. Its ears and seated silhouette separate well enough to form a readable sticker, yet dark fur sits close in tone to parts of the sofa and indoor clutter. Fine whiskers are only partly retained, and the area beside the curled tail includes a gray patch. A white outline makes the outer shape easier to see, but it cannot reconstruct whiskers or fur that the mask did not keep.

This result is a 741 by 1328 transparent PNG made with the same default scale, centered position, and 12-pixel white outline as the other examples. It also received no brush cleanup. The tall, narrow result follows the cat's actual shape rather than filling the original rectangular photo. That makes it useful for judging how tightly a transparent export can follow a seated subject, while also exposing the limits around soft fur and an irregular tail.

Inspect the face first because missing eyes, ears, or cheek shape would change the subject more than a few lost whiskers. Next check the tail boundary and any interior gap formed by the legs or body. Use a small Erase brush on remaining sofa pixels and compare against the source before restoring detail. At chat size, a simplified fur edge may still look natural; at a larger display size, the same edge deserves a more patient review.

The drink separates more cleanly because the cup is a single bold object against a blurred café background. The lid rim, cup body, and base remain recognizable, and the source gives the editor a relatively clear outer contour. Reflections and warm highlights inside the plastic stay with the photographed object. Background removal changes which pixels surround the cup; it does not turn the cup material itself into optically transparent glass or remove every reflection.

The downloaded drink result is a 408 by 562 transparent PNG, again with default scale and position, a 12-pixel white outline, and no brush corrections. Its smaller dimensions reflect a close crop around the detected cup. This is useful when comparing an object sticker with the taller portrait and cat results: the transparent export follows the usable subject bounds instead of preserving the source image's landscape canvas.

Check the lid rim and cup edge at full size because narrow highlights can resemble leftover background. Then view the cup on a dark color and on a light color. If the white outline feels heavy in a small composition, reduce it before exporting a new version, or switch the outline off for an unbordered file. Preserve the original reflective details when they describe the cup; erase only pixels that clearly belong to the old scene.

Together, the three examples cover distinct questions: complex human edges, soft animal fur, and a reflective object. They do not establish a success rate and they cannot predict how a different camera, browser, device, or source image will behave. The useful comparison is whether your photo resembles one of these edge conditions and which areas you should inspect first.

All three files were exported from the current browser editor on September 6, 2026, from product-team demo images. They are digital PNG assets rather than customer results, endorsements, or physical sticker samples. The defaults were deliberately left visible so you can see both the clean transparent canvas and the remaining imperfections. When your own result is important, treat this page as an inspection guide: review the silhouette, examine fine edges, test contrasting backgrounds, and export only after the file suits its intended display size.

The file dimensions also show why there is no single ideal output shape. The portrait and cat remain tall because their subjects are tall, while the drink becomes a smaller vertical crop around the cup. Compare the amount of usable detail rather than treating a larger pixel count as proof of a cleaner result. A narrow whisker can be lost in a large image, and a compact object can remain readable in a smaller one. For square chat exports, the editor places each retained shape inside a 512 by 512 transparent canvas using the current scale and position; it does not stretch these tight transparent results into new proportions.

When testing your own file, make a short inspection list before brushing. Identify the three or four details that make the subject recognizable, note any background patches that clearly need removal, and decide the real display size. That prevents a long cleanup session from polishing unimportant pixels while missing a broken hand, ear, or lid. If the automatic cutout loses a defining feature and the source offers little contrast, choosing a better photo can produce a stronger result than extensive manual repair.

• Portrait: prioritize hair, straps, and open gaps beside the body.
• Cat: prioritize ears, face shape, whiskers, fur contrast, and the tail.
• Drink: prioritize the lid rim, cup base, reflective edges, and interior highlights.
• Any subject: distinguish a transparent canvas from a perfectly cleaned boundary.