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How to Uncrop an Image with AI

Cropping throws pixels away. Uncropping invents new ones at the edges — and the difference between a seamless result and an obvious smear is mostly about how the request is framed, not which model you pick.

July 26, 2026 · 6 min read

Quick answer

You uncrop an image by uploading it, choosing a wider or taller target ratio, and letting an AI model paint the new area at the edges. The original stays as it is — nothing is cut. On Shotari's uncrop tool the built-in Basic model does this for free (2 a day without an account), and every paid model charges one extra credit when the target is 16:9 or 9:16.

Uncrop is not “zoom out”

There is no hidden data outside your photo to recover. The model is guessing what plausibly continued past the edge. That is why edges made of sky, wall, grass, or bokeh work and edges made of faces, text, or tiled patterns do not.

How AI uncropping actually works

Most tools send your photo with an instruction like “expand this image.” That phrasing invites the model to re-render everything, and you get back a picture where the centre has subtly drifted — a face slightly different, a logo re-drawn wrong.

The gray-padding trick

Shotari does it differently, in the browser, before anything is sent. Your image is drawn onto a flat gray canvas (#c8c8c8) already sized to the target ratio, so the photo sits centred inside the empty margin it needs to fill. The prompt then asks the model to outpaint only the gray padding and to keep the central photo region “completely unchanged and pixel-identical.”

It is a small reframing with a big effect: the model is doing fill-in-the-blank rather than redraw-the-whole-thing, and the part you care about has a hard boundary it is told not to cross. If you are building this yourself with any image model, this is the part worth copying.

It only ever adds, never trims

The expansion direction is computed from your image, not chosen by you. If the target ratio is wider than what you uploaded, the canvas grows sideways and the full height is kept. If it is narrower, the canvas grows vertically and the full width is kept. Either way the original survives intact — going from a 4:3 photo to 16:9 adds strips on the left and right rather than slicing off the top and bottom the way a crop would.

What it costs per ratio

This is the part no other write-up can tell you, because it comes from how the pricing is actually computed. Uncrop always requests standard (1K) output, so resolution never multiplies the price — but the aspect ratio does. 16:9 and 9:16 carry a 1.1× multiplier, and the result is rounded up, which means one extra credit on every paid model. Square, 4:3, and 3:4 carry no multiplier at all.

Model1:1 / 4:3 / 3:416:9 / 9:16
Shotari BasicFreeFree
Shotari Pro2 credits2 credits
Seedream 5 Lite3 credits4 credits
Nano Banana4 credits5 credits
GPT Image 25 credits6 credits
Seedream 4.5 / FLUX.26 credits7 credits
Nano Banana Pro10 credits11 credits

Shotari's own two models are the exception — they are billed on a separate path that never applies the ratio multiplier, so Basic stays free and Pro stays 2 credits no matter how wide you go. Every other model on the list is a third-party model, and third-party generations can only be paid for with purchased credits: the 20 credits you get at signup and the 10 you can claim daily are free-tier credits, and they run Shotari Basic and Pro only.

Which ratio to target

Pick the ratio by where the image is going, then let the tool work out the pixels. These are the target sizes it offers for each shape:

Target ratioOutput sizes
1:1 — square1024×1024, 1536×1536
3:4 — tall960×1280, 1440×1920
4:3 — classic1280×960, 1920×1440
9:16 — vertical / stories720×1280, 1080×1920
16:9 — widescreen / thumbnails1280×720, 1920×1080

A portrait photo taken at 3:4 that needs to become a 16:9 banner is asking the model to invent roughly twice the original width. That is a lot of guessing. Two smaller passes — 3:4 to 4:3, then 4:3 to 16:9 — give it less to invent each time and usually hold together better than one extreme jump. If the destination is a YouTube thumbnail, 16:9 is the only ratio worth targeting.

Prompts that work

The tool writes the outpainting instruction for you, so you do not have to. When you want more control — say the extended area should contain something specific — describe the surroundings, not the subject. The subject is already in the frame and does not need re-describing. The same principle runs through product photo work: constrain what changes, not what stays.

Continue a background

Extend the scene outward: same overcast daylight, same shallow depth of field, continue the blurred treeline and the grass texture to the left and right. Do not add new people or objects.

Open up an interior

Continue the room outward — same warm lamp light falling from the upper left, same matte wall paint and floor grain. Keep the new area quiet and uncluttered.

Give a product room to breathe

Extend the seamless studio backdrop in every direction with the same soft gradient and the same shadow direction under the product. No props, no text, no reflections.

Where it still fails

Outpainting is confident even when it is wrong, so check these before you use the result anywhere that matters.

Text and logos at the edge

A model asked to continue lettering will invent letters. Anything with a brand name, a sign, or a caption running to the border is the classic failure case — crop it out of the source or accept that you will be retouching by hand.

Regular patterns

Tiles, brickwork, railings, and window grids need the spacing to stay exactly on rhythm. A half-step drift where the new area meets the old is instantly visible even when everything else is perfect.

Bodies cut by the frame

An arm or leg running off the edge will get completed, and the completion may have the wrong proportions or an extra joint. Zoom in on every limb the extension had to finish.

The centre you were promised

The instruction says keep the original pixel-identical, but generative models are not deterministic. Zoom-check faces and fine detail in the original region before downloading, and re-run if something shifted.

Re-running is the cheapest fix available. These models return a different result each time from the same input, so a scene that smears on the first attempt often lands cleanly on the third — which is another reason to try the free Basic model before spending credits on a premium one.

Uncrop an image now

Upload a photo, pick the ratio you need, and let the AI fill the new area — free to start, no design tool.

Open the uncrop tool