Portraits and old photos
Increase the pixel dimensions of a soft scan or portrait before a layout, crop, or larger display. Review faces closely because missing features can only be inferred.
Use this image upscaler to enlarge a JPG, PNG, or WebP image by 2× or 4×, inspect the higher-resolution result, and download it online.
Upload one image, choose a precise scale, and inspect the result before downloading.
JPG, PNG, or WebP · maximum 10 MB
Your upscaled image will appear here
Upload a supported source to preview its dimensions and expected 2× or 4× output size.


Portrait texture without the waxy finish


Cleaner product edges for ecommerce


Sharper lines in AI art and illustration
The direct answer
An image upscaler increases the width and height of a digital image. A conventional resize calculates new pixels from nearby pixels, which increases dimensions but often leaves a small source looking soft. An AI image upscaler uses learned visual patterns to estimate cleaner edges and plausible texture while it enlarges the file.
That distinction matters: more pixels do not prove that more original information was recovered. AI super-resolution infers plausible detail; it is not forensic recovery. Always inspect faces, lettering, product labels, architecture, and repeating patterns against the source.
Four clear steps
The workflow stays focused on one decision at a time: choose the source, choose the scale, process the image, and verify the result.
Choose a JPG, PNG, or WebP file up to 10 MB. The tool reads its dimensions before it submits an upscale.
Use 2× for a moderate enlargement or 4× when the source is small and the output needs substantially more pixels.
Sign in, review the displayed credit cost, and start the tracked image-processing task.
Move the comparison line across the result, check sensitive details, and download the approved image.
Choose the smallest factor that gives the dimensions you need. A 2× upscale doubles width and height, creating four times as many pixels. A 4× upscale creates sixteen times as many pixels and asks the model to infer much more detail.
Good for web assets, presentation crops, and sources that are already reasonably clear. Example: 1600 × 1200 becomes 3200 × 2400.
15 credits
Useful for small originals, larger print layouts, or deep crops. Example: 1000 × 750 becomes 4000 × 3000.
25 credits
Choose the right operation
These tools can overlap, but they solve different problems. Start from the change you need rather than the label on the button.
| Decision | Image upscaler | Image resizer | Image enhancer |
|---|---|---|---|
| Primary job | Increase pixel dimensions and apparent detail | Change width, height, or crop | Adjust clarity, light, color, noise, or sharpness |
| Creates a larger file | Yes, by the chosen factor | Only when larger dimensions are entered | Not necessarily |
| Infers new detail | Yes, when AI super-resolution is used | No; it interpolates existing pixels | Sometimes, depending on the feature |
| Best when | The source is too small for its next use | The canvas or file dimensions are wrong | The size is adequate but the image looks weak |
Where higher resolution helps
The same scale factor can serve different jobs. What changes is the detail you must protect and the way you judge the result.
Increase the pixel dimensions of a soft scan or portrait before a layout, crop, or larger display. Review faces closely because missing features can only be inferred.
Prepare a small listing photo for zoom, ads, or a larger storefront slot while checking labels, logos, and product geometry against the source.
Give generated artwork more room for print, compositing, or post-production while keeping the original frame and overall visual direction.
Create a larger working file for posters, decks, packaging, or display graphics, then confirm the required physical size and print resolution.
Illustrative case studies
Use these original, coordinated examples to learn where to inspect an upscale. They illustrate evaluation points; they are not a universal quality benchmark.


A restrained upscale can define hair, eyelashes, and fabric while keeping skin texture believable. Inspect eyes, teeth, and jewelry before publishing.


Higher resolution helps small catalog crops hold up on zoom, marketplace cards, and campaign layouts. Verify labels and fine packaging text separately.


Upscaling can make edges, gradients, and small textures more usable for a larger canvas without changing the composition or aspect ratio.


A 4× result gives designers more source pixels for posters and packaging, but final print quality still depends on physical size, viewing distance, and printer settings.
Commercial decision guide
Each product can enlarge images, but the surrounding workflow and published limits differ. Choose the product that matches what happens before and after the upscale.
| Compare | Banana Pro AI | Pixelcut | Upscale.media |
|---|---|---|---|
| Primary workflow | Focused upscale inside an AI image creation workspace | Upscaling inside a broader design and photo editor | Dedicated image and video upscaling tools |
| Published scale controls | 2× and 4× | Fast and Creative Upscale paths; output targets include 4K, 8K, and 16K | 1×, 2×, 4×, and 8× dimension tiers |
| Published source formats | JPG, PNG, WebP | JPG, PNG, HEIC | PNG, JPEG/JPG, WebP, HEIC |
| Published source limit | One file up to 10 MB; output longest side up to 20,000 px | Up to 100 MB and 8000 × 8000 px on the reviewed page | Dimension limits vary by factor and guest or signed-in use |
| Access model | Sign-in and a visible 15- or 25-credit cost | A limited daily download allowance, with paid upgrades for more use | Guest and signed-in dimension tiers are disclosed on the upload panel |
| Best fit | You already generate or edit images here and want a clear credit-based upscale | You want upscale plus design, creative editing, or bulk production options | You want a dedicated upscaler with additional scale choices |
Product pages and disclosed limits reviewed on August 23, 2026. Features and allowances can change; verify current terms on Pixelcut and Upscale.media.
Common questions
Straight answers about factors, formats, output quality, limits, and credits.
An image upscaler increases an image’s pixel dimensions. An AI upscaler also estimates edges and textures so the enlarged result can look sharper than a conventional resize.
Choose 2× when you need a moderate size increase and want to stay closer to the source. Choose 4× for a small input or a larger output, then inspect fine text, faces, and repeating patterns more carefully.
It can produce a 4K-sized result when the source dimensions and selected factor reach that pixel size. A 1920 × 1080 source at 2× becomes 3840 × 2160. The tool scales by factor rather than forcing every image into one 4K aspect ratio.
The tool accepts one JPG or JPEG, PNG, or WebP source up to 10 MB. GIF, SVG, HEIC, PDF, and video inputs are not part of this workflow.
AI can infer plausible detail from surrounding shapes and learned visual patterns, but it cannot verify what was truly present. Treat the output as an enhanced interpretation, not evidence or exact reconstruction.
No. Upscaling can improve apparent sharpness and reduce some visible artifacts, but severe motion blur, missed focus, tiny faces, or destroyed text may remain wrong. A clearer source is always preferable.
A 2× upscale uses 15 credits and a 4× upscale uses 25 credits. The workbench shows the current cost and your remaining balance before you start.
No. The image is uploaded and processed by the service so the upscale can complete across supported devices. Do not upload an image you are not permitted to process, and review the privacy policy for handling details.
Last reviewed: 2026-08-23
Reviewed by Banana Pro AI product team
Product limits and comparison rows come from the linked product and API documentation available on the review date. The explanatory copy is original synthesis, not a reproduction of those pages.
Generate, edit, and upscale from the workflow that matches your current source.
Start with one source, choose the factor you actually need, and inspect the result before it moves into your next design or print workflow.
Open the image upscaler