AI Upscaling Explained: Take Images and Video to 4K and Beyond

Open a small image and stretch it to poster size, and you get soft edges and blocky pixels. Ordinary resizing can only spread the existing pixels further apart; it has no idea what an eyelash or a brick should look like up close.

An AI upscaler does. It has learned what fine detail looks like, so as it enlarges the image it reconstructs texture, edges and small features instead of blurring them. The result is a larger file that holds up when you zoom, crop or print. The catch is that reconstructed detail is the model's best guess, which matters for some images more than others.

AI generations headed for print or zoom. Many images are generated at 1K or 2K. Upscaling a keeper to 4K or 8K makes it usable for posters, product zoom and large screens.

Crops. If you cropped a wide shot down to a detail, upscaling restores enough resolution for a full-size post.

Older photos and low-resolution files. Scans, old phone photos and small downloads you have the rights to use.

AI video. Many video models generate at 480p or 720p to keep motion coherent. Upscaling brings a finished clip up to 1080p, 2K or 4K for YouTube or a client deliverable.

Fixing the wrong problem. Upscaling sharpens what's there. It won't fix a bad hand, a warped face or a smeared label from the original generation; regenerate those instead.

Evidence and documents. Because the added detail is inferred, an upscaled image isn't a faithful record. Don't use it to "read" a license plate or present it as an unaltered photo.

Text. Small blurry text often comes back as plausible-looking nonsense. Re-create text in a design tool, or regenerate the image with a model that renders text well, such as GPT Image 2.5.

Overdoing it. Going from a tiny thumbnail straight to 8K asks the model to invent most of the image. Start from the largest, cleanest original you have.

Image Upscale uses the Ultimate Image Upscaler, which rebuilds fine detail while removing artifacts. Pick a target of 2K, 4K or 8K for 8, 10 or 12 credits, and export as JPEG, PNG or WebP. It works on photos, AI images, illustrations and screenshots.

Video Upscale uses the ByteDance Video Upscaler, built for detail recovery and frame-to-frame consistency on live action, animation and vertical shorts. Targets are 1080p, 2K or 4K for 16, 28 or 56 credits, priced per video rather than per second. It takes clips of 3 to 15 seconds (up to 50 MB), so trim longer generations or upscale them in parts.

Both draw on the same credit balance as everything else in the studio, and new accounts get 25 free credits, enough to try either tool. If you already use a desktop upscaler, the difference is mainly workflow: these run in the browser, next to the models that made the image or clip.

Upscale once, from the original. Download-and-reupload cycles add compression; upscale the original generation or the highest-quality file you have.

Pick the target for the destination. 2K or 4K covers most screens. Save 8K for large prints or tight crops.

Choose PNG when you'll edit further. It avoids another round of JPEG compression; export JPEG or WebP for the final web version.

Check at 100%. Look at faces, hands, hair and repeating patterns before you publish.

For a step-by-step video workflow, see how to upscale AI-generated videos to 4K.