First run loads the AI model (a few MB, from CDN), then upscaling happens locally. If your device's GPU can't run the AI model, it automatically falls back to a high-quality enhancer so you still get a clean, enlarged image.
Drop files here, or click to browse
Drop one or many images · automatic bulk mode for multiple files
Bulk supported. Drop multiple files and they'll be processed in a queue with a single ZIP download. Same settings apply to every file.
How to use
01
Upload one image or many
Drop JPG, PNG, or WEBP files up to 5 MB each. Add a single photo for a preview card, or queue several and the tool processes them one by one into a zip.
02
Pick the upscale factor
Choose 2x for speed or 4x for maximum detail. Each factor loads its own ESRGAN model, and output filenames get the factor appended, like logo-4x.png.
03
Run and download
Click Upscale with AI. The first run downloads the model, later runs start straight from cache. Save the PNG, or grab upscaled-images.zip when you processed a batch.
Why AI Image Upscaler
- Real ESRGAN AI super-resolution, not a plain stretch.
- Upscaling runs in your browser, your images never leave your device.
- Free, no watermarks, no sign-up, no limits.
- Before/after preview with exact output size.
Common questions
What makes the AI image upscaler different from just resizing?
Plain resizing interpolates between existing pixels, which produces soft, smeared enlargements. To genuinely increase image resolution, the ESRGAN model predicts plausible texture and edges learned from huge amounts of training data. The difference is most visible at 4x, where interpolation alone falls apart.
Does upscaling actually enhance image quality?
It sharpens edges and adds believable texture, so yes for most photos. But when you enhance image quality ai models can only build on what's there: heavy JPEG artifacts, motion blur, or strong noise get enlarged along with everything else. A clean small image upscales far better than a damaged big one.
What happens if my device can't run the AI upscaler?
The tool detects when WebGL or GPU memory isn't up to the job and automatically falls back to a high-quality canvas enhancer that step-doubles the image with smoothing, then applies a sharpening pass. You still get a clean enlargement, just without the learned detail.
Is there a size limit when I upscale image online here?
Uploads are capped at 5 MB per file and output is capped at 4096 pixels on the longest side. That means 2x accepts inputs up to 2048 pixels and 4x up to 1024 pixels on the longest edge; larger sources get scaled to fit first so the result never blows past the ceiling.
Why does the first AI upscale take longer than later ones?
The ESRGAN weights and the TensorFlow.js runtime download from a CDN on first use. After that they're cached by your browser, so subsequent upscales go straight to processing. Nothing about your image is sent anywhere at any point.
Should I choose 2x or 4x upscaling?
Use 2x when the source is already decent and you want speed; it also accepts larger inputs. Use 4x for genuinely tiny sources like thumbnails and old low-res exports. If 4x output looks waxy or artificial on faces, drop back to 2x for a more natural balance.
Will the upscaler process a batch of images at once?
Yes. Drop multiple files and the tool switches to bulk mode automatically, processing each at your chosen factor and packaging everything into upscaled-images.zip. Every file still runs locally in your browser, one after another.