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Make a low-resolution image higher resolution

Stretching a small image spreads the same pixels over a bigger area, so it turns soft or blocky. AI upscaling instead draws a larger version and fills in new, plausible detail. Pixelperfect redraws the smallest images, such as thumbnails and old web graphics, at about one megapixel and anything larger at about four.

Upscale an image freeHow it works

3 free upscales a month. No card needed. PNG, JPG, and WebP.

Before
After
Illustration

Resolution is pixels, not DPI

An image's resolution is its size in pixels, written as width by height. A 400 x 300 photo holds 120,000 pixels, while a 1024 x 1024 image holds just over a million, or about one megapixel. Every edge, texture and letter has to fit into those pixels, so a small image has little room for fine detail.

DPI (more precisely PPI, pixels per inch) is something else: a number stored in the file that tells printing software how many pixels to fit into each inch of paper. Changing it from 72 to 300 without resampling leaves every pixel as it was. The image would print smaller, but it looks identical on screen and gains no detail.

Small images usually have ordinary origins: thumbnails and avatars, graphics saved for the web when screens were smaller, photos from early camera phones that recorded 640 x 480 pixels, crops from bigger photos, or copies shrunk by a site that resizes uploads. Once those pixels are gone from the file, no setting brings them back.

Why a resized image looks soft

When you enlarge an image in an editor or a browser, most pixels in the bigger version are new, and the software has to calculate a value for each one. Taking a 250 x 250 avatar to 1000 x 1000 multiplies the pixel count by 16, so 15 of every 16 pixels in the result were never in your file.

The simplest method, nearest neighbor, copies the closest original pixel into each gap and leaves hard blocks. Bilinear and bicubic interpolation, the usual defaults, blend nearby pixels into smooth in-between values instead. That hides the blocks, but an edge that went from dark to light across two pixels becomes a gentle ramp many pixels wide, and fine texture flattens into smooth patches.

Nothing is lost, but nothing is gained either: the same information is spread over more pixels, so the image looks blurrier the larger you show it. A sharpening filter can make edges look a little crisper, but it cannot put back texture the file never held.

How AI upscaling adds new detail

An AI upscaler fills the new pixels with predictions instead of averages. Its model has learned from vast numbers of images how things like eyelashes, brickwork, lettering and leaves usually look at high resolution, and it draws your small image larger with that kind of detail in place.

Pixelperfect uses Google's image AI for this. Each image is sent with a written request to upscale it, sharpen fine detail, remove noise and JPEG compression artifacts, and reconstruct crisp edges. The same request tells it to preserve the exact subject, composition, framing and colors, and to add, remove or restyle nothing.

What it adds is a prediction, not a recovery: the model draws what probably belongs in the missing pixels, not what was actually there. In text just 6 or 7 pixels tall, an "e" and a "c" can look almost identical, and the model may draw a crisp "c" where the original said "e". Sharp does not mean correct.

Image models improve partly because people are paid to compare their outputs side by side and judge whether the added detail is faithful, and AITraining.jobs' guide to AI rater jobs, which we maintain, covers what this kind of rating work pays and how to start.

The size you get, and which images it suits

The result comes in one of two sizes, depending on what you upload. An image of up to about a third of a megapixel (roughly 640 x 512 pixels or smaller), such as a 200-pixel avatar or a 400-pixel supplier photo, comes back at about one megapixel: around 1024 x 1024 pixels for a square. Anything larger comes back at about four megapixels, around 2048 x 2048 for a square. In our own test a 1000 x 625 image came back at 2612 x 1632. Other shapes keep their proportions at a similar pixel total.

It is not a way to make large photos larger. Before upload, the app scales anything above about 1.2 megapixels (or 1600 pixels on a side) down in your browser, so a 12-megapixel phone photo comes back at about four megapixels, smaller than it was. Four megapixels is more than a 1080p screen shows (1920 x 1080, about 2.1 megapixels), but it is about half of 4K (3840 x 2160, about 8.3 megapixels) and far short of poster and large print sizes.

As a rule of thumb, if the longer side is under about 1800 pixels, you will get a bigger image back. To check the size of yours:

  • Windows: right-click the file, choose Properties, then open the Details tab.
  • Mac: open the file in Preview, then choose Tools, then Show Inspector.
  • Phone: open the photo, then swipe up or tap its info button.

How to do it with Pixelperfect

  1. 01

    Sign in or sign up free

    On the upscaler page, sign up with your email address or sign in. The free plan does not need a card.

  2. 02

    Start from the biggest copy

    Drop the image (PNG, JPG or WebP) into the upload area, or add several at once. Use the largest, least-compressed version you can find, not a thumbnail or a copy saved from a chat.

  3. 03

    Check the new detail

    An upscale usually finishes in seconds. Use the before and after comparison to see what changed, paying most attention to faces and lettering.

  4. 04

    Download the larger image

    Download results one at a time, or all of them at once. Keep the original file too, in case a logo or small text came out slightly different.

What to expect

Works well for

  • Thumbnails and avatars you need to show larger
  • Small product photos from suppliers or marketplaces
  • Old web graphics saved a few hundred pixels wide
  • Photos from early camera phones, often 640 x 480
  • A small area cropped out of a bigger photo

What it will not fix

  • Big phone and camera photos, which come back smaller (about four megapixels)
  • Reaching 4K, poster or large print sizes
  • Keeping small text or fine logo details exactly as they were
  • Identifying a tiny face or license plate, or anything pixelated on purpose
  • A logo that must stay sharp at any size: that takes a vector file

Tips for the best result

  • Check the pixel size first: if the long side is already over about 1800 pixels, the result will barely grow, and a large photo will shrink.
  • Look for a bigger copy before you upscale: the original email attachment, the supplier's full-size product image, or a reverse image search. If it is big enough for your use, you may not need to upscale at all.
  • Do not enlarge the image in an editor first. That only adds soft, blended pixels for the AI to interpret, and anything over about 1.2 megapixels is scaled back down before upload anyway.
  • Trim empty borders or padding from a small graphic before uploading, so more of the result goes to the picture itself.
  • Plan for high-density screens: most phones and many laptops draw pages at two or three times their layout size, so an image shown 500 pixels wide looks sharpest with 1000 to 1500 pixels.
Want to print it? Try the free print size calculatorSee how large a photo can be printed and still look sharp, from its pixel size. Nothing is uploaded.Check a photo

Questions, answered

How big will the result be?
It depends on what you upload. An image of up to about a third of a megapixel (roughly 640 x 512 pixels or smaller) comes back at about one megapixel, around 1024 x 1024 pixels for a square. A larger one comes back at about four megapixels, around 2048 x 2048 for a square, and that is the ceiling. So a 300-pixel thumbnail and a 1000-pixel web photo both grow, while a 12-megapixel phone photo shrinks, because it is scaled down before upload. A one-megapixel result can be run through again to reach about four, but each pass redraws the picture, so small details can drift further from the original.
Can a low-resolution image really be made high resolution?
In pixel count, yes. In real detail, only partly: an AI upscaler predicts detail that fits the image rather than recovering what was lost, so small text and tiny faces can come out different. With Pixelperfect the result is about one megapixel for the smallest images and about four for the rest, which is higher resolution for a small image but not 4K or poster size.
Can I make an image bigger without losing quality?
Plain resizing keeps the same pixels and spreads them over a larger area, so the image looks softer the bigger you show it. AI upscaling adds predicted detail as it enlarges, so a small image can stay clean at a larger size, which with Pixelperfect means up to about four megapixels.
Does changing the DPI increase an image's resolution?
No. DPI is only a print setting that says how many pixels to fit into each inch of paper, so changing it without resampling leaves the pixel count and the detail exactly the same. More detail needs more pixels, which is what upscaling adds.
Can I upscale a logo or an image with text?
Yes, but check the result closely. Large, bold lettering has the best chance of coming through unchanged, while thin strokes and small text may be redrawn slightly differently. For a logo you need at many sizes, the lasting fix is a vector version (such as SVG): ask whoever designed it for the original file, or have it redrawn using the upscaled image as a guide.
Can I print the upscaled image?
For small and mid-size prints. A common guideline for sharp prints is about 300 pixels per inch. At that density a four-megapixel result with a 2048-pixel side covers about 6.8 inches, enough for a 5 x 7 inch print, while the one-megapixel result from a very small image covers only about 3.4 inches. Posters and large prints need a much larger original.

Other image problems it fixes

Pixelated images

Smooth out blocky pixels and JPEG artifacts in small or heavily compressed images.

Read the guide

Blurry photos

Sharpen soft, slightly out-of-focus, or low-detail photos.

Read the guide

Old and scanned photos

Clean up grain, noise, and softness in scans of old prints.

Read the guide

Try it on your own image

Create a free account, drop the image in, and compare the before and after side by side. Your first 3 upscales each month are free.

Upscale an image free
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