How to Improve Video Quality With AI Upscaling
AI upscaling can enlarge a finished video and improve its apparent detail, but it cannot reliably recreate information missing from the original. Start with the best available source file, then compare the upscaled result at full size before publishing.
Prepare your source video
Use the original export rather than a copy downloaded from a social platform, which may already be heavily compressed. Note its resolution, frame rate, duration, and aspect ratio so you can check them against the result.
Choose an output size for the destination. For example, a 1920 × 1080 landscape clip may be upscaled to 3840 × 2160 if that output is available. Keep the original aspect ratio: 16:9 for landscape, 9:16 for vertical video, or 1:1 for square video. Upscaling changes pixel dimensions; it does not automatically make a vertical clip fit a landscape frame.
Upscale your video in Oranzy
- Open Oranzy video and sign up for 100 bonus tokens if you do not have an account.
- Upload the finished video you want to improve. Use a short representative clip first if you are unsure how the source will respond.
- Select the upscaling option and choose your target resolution if the workflow offers a choice. Keep the original aspect ratio and frame rate where settings are available, then start the upscale.
- Review and download the result. Check its dimensions and play it alongside the original before using the same approach on a longer clip.
Available output settings and token costs may vary. Check the options shown before starting a generation.
Compare the result before publishing
View both files at the same display size, preferably at 100% zoom on a screen large enough to show the output detail. Compare matching frames and play the clips at normal speed. Check:
- Faces and hands: Look for altered features, unnatural skin texture, or changing finger shapes.
- Text and logos: Pause on labels, subtitles, and brand marks to confirm they remain legible and accurate.
- Edges and textures: Inspect hair, fabric, product edges, and fine patterns for halos or invented detail.
- Motion: Watch moving subjects and camera pans for flicker or details that change between frames.
- Audio and timing: Confirm that sound is present and remains in sync, if the workflow includes audio in the output.
Finally, verify the output resolution, aspect ratio, and file format against the requirements of your publishing platform. Keep the original file in case the enhanced version introduces artifacts.
Avoid common mistakes and wasted generations
Do not assume a larger resolution means a better image. A blurry or heavily compressed source can produce a larger file with the same defects, or add detail that looks plausible but is inaccurate. For product footage, pay particular attention to labels and surface details.
Avoid repeatedly upscaling an already upscaled file: artifacts can accumulate. Return to the original source for each test. If the result looks worse, try a cleaner source or a smaller output size when available. Test a short clip before processing a full video, and check the available settings and cost before each run.
FAQ
Can AI upscaling turn 1080p video into 4K?
It can increase a 1920 × 1080 video to 3840 × 2160 if that output size is available. The result has more pixels, but its visible detail still depends on the source.
Will upscaling fix a blurry or compressed video?
It may improve the appearance, but it cannot reliably recover missing detail. Compare faces, text, and edges with the original to catch invented or distorted features.
Should I change the aspect ratio when upscaling?
Usually, no. Keep the source ratio, such as 9:16 or 16:9, unless you deliberately plan to crop or reframe the video for a different placement.
How can I avoid wasting tokens on a long video?
Test a short representative clip first, check the displayed token cost, and inspect the result at full size. Use the original source for further tests rather than upscaling an earlier output.