Instagram Image Resizer
Resize photos to every Instagram format without cropping.
Enlarge an image with sharpened resampling, honestly.
Drop an image here, or click to choose one
JPEG, PNG, WebP, GIF or SVG · processed on your device, never uploaded
The Image Upscaler enlarges in several small steps rather than one jump, which keeps far more edge definition, then restores crispness with a thresholded unsharp mask. It is a clear improvement on a plain browser resize, and it is explicit that no upscaler can recover detail that was never captured.
Enlarging an image cannot add detail that was never captured. Anything claiming otherwise is inventing plausible-looking pixels, which is sometimes what you want and often produces a face with the wrong texture.
What this does is the honest version, and it is better than a plain resize by a clear margin. The enlargement is done in several small steps rather than one jump, which preserves far more edge definition; an unsharp mask then restores the crispness resampling costs, with a threshold so noise is not amplified along with it. For flat graphics and pixel art a nearest-neighbour mode keeps hard edges perfectly hard. Expect a real improvement over a browser resize, and not a photograph that was never taken.
Several small enlargements instead of one large jump, which preserves noticeably more edge definition.
Restores the crispness resampling costs without amplifying noise in flat areas.
For pixel art and flat graphics, where smooth interpolation destroys exactly what makes them work.
The result against a plain resize, so the difference is visible rather than claimed.
The page says outright that detail cannot be recovered, and where the realistic limit is.
Small photographs and low-resolution graphics are the usual cases.
2× is where results stay convincing; 4× and beyond show the limits.
Stepped resampling for photographs, nearest neighbour for pixel art and flat graphics.
Enough to restore the edges without producing halos.
No, and nothing can. Upscaling spreads existing detail over more pixels. What good upscaling does is keep edges clean while doing that, rather than turning them to mush.
Enlarging by a small factor several times keeps more edge definition than one large jump, because each step has more neighbouring information to interpolate from.
Up to 2× is usually convincing. At 4× the softness is visible. Beyond that you are producing a larger file rather than a better image.
Use nearest neighbour, which keeps every block a hard square. Smooth interpolation on pixel art destroys exactly the thing that makes it pixel art.
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