Real4KUpscaling
No Wax Effect.

Upload a photo or video, choose the target resolution, hit upscale. The model analyses the file, identifies which details can be sharpened and which need to be reconstructed, and generates the higher-resolution output frame by frame. The whole process takes seconds for photos and under two minutes for most clips — no manual sharpening, masking, or post-processing required.

ReelUp offers free upscales on the entry plan, with paid plans unlocking 4K output, longer videos, batch processing, and faster queue priority. Free upscales include a small ReelUp watermark; paid plans export clean. There's no separate fee for image versus video — both are included in the same plan.

A little, by design — that's what makes it different from traditional resizing. The model fills in detail that's consistent with what's already in the image, but it doesn't invent identifiable features that weren't there. On a clear, well-lit input, the added detail is indistinguishable from a higher-resolution capture. On extremely low or noisy inputs, the model errs on the side of restraint rather than hallucinating faces, text, or objects.

Both. ReelUp handles photo and video upscale in the same workspace. Photos process in about 5 seconds; videos take roughly 45 seconds per 10 seconds of footage. Video upscaling runs frame-by-frame with temporal consistency, so the result doesn't flicker or shimmer between frames the way naive per-frame upscaling does.

Standard scaling options are 2× and 4×. A 1080p input becomes 4K at 4× scaling. A 540p input becomes 1080p at 2× or borderline 4K at 4×. Beyond 4× the model starts inventing detail rather than reconstructing it, so the ceiling is set there on purpose. If you need to go bigger, upscale once at 4×, review the result, and only upscale again if the first pass is genuinely sharp.

The honest answer is that the top tier of AI upscalers — including ReelUp — use models with similar quality ceilings, because they're all built on the same family of super-resolution research. The differences are in workflow, pricing, and what the tool does with the output once it's upscaled. ReelUp's edge is the integrated studio: upscale plus face swap, captions, voice cloning, image editing, and video editing in one place.

Images: JPG, PNG, WebP. Videos: MP4, MOV, WebM, up to 1080p input on standard plans. Output: 4K maximum on Pro, 1080p on standard. There's no separate "upload format" and "result format" — the output is returned in the same container as the input, in the highest quality the format allows.

No. Upscaling is purely a resolution operation — it doesn't alter colors, contrast, saturation, or stylistic choices. If you want to adjust those after upscaling, the ReelUp image editor handles that in the same workspace.

Photos process in about 5 seconds. Videos take roughly 45 seconds per 10 seconds of footage, so a typical 30-second clip processes in around 2 minutes. Processing speed scales with plan — Pro users get priority queue access and the highest-tier model.

Yes on paid plans, including for marketing creative, advertising, client work, e-commerce catalogs, print materials, and any other commercial purpose. You retain rights to your outputs. Free-plan upscales are for personal and creative use only.

Yes — old photos and low-resolution inputs are where AI upscaling makes the biggest visible difference. Family photos scanned at low DPI, images from early digital cameras, and pre-smartphone phone photos all upscale well. The cleaner the input (less noise, less compression), the better the result, but the model is built to be forgiving of typical archival inputs.

Uploads are encrypted in transit, processed in isolated workers, and deleted within 24 hours. We never train models on your uploads. Every output carries invisible provenance metadata so you can prove the content came from ReelUp if needed.

Partially. Compression artifacts (the blocky look of heavily-shared JPEGs and low-bitrate video) are something the model is specifically trained to clean up, and results are usually strong. Motion blur on video and out-of-focus blur on photos are harder — the model can recover some detail, but if the original capture was deeply blurry, upscaling can't reverse it. As a rule: if you can see the detail in the original at any zoom level, upscaling can usually bring it out. If the detail genuinely isn't in the file, no upscaler can invent it faithfully.

Output keeps the aspect ratio of the input, sized up by the scale factor you chose. A 9:16 input stays 9:16. A 4:5 input stays 4:5. If you need to crop or reformat the result, the ReelUp video and image editors handle that without a second upscale pass.