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Video upscale uses AI to raise a clip’s resolution and bring detail back. It is not a simple pixel stretch: it reconstructs textures, edges and faces frame by frame.

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What it’s for

  • Recovering old recordings from a phone or compact camera.
  • Bumping a clip exported at low quality (WhatsApp, social, screen recorder) up to publishing resolution.
  • Pulling sharp stills for thumbnails or screenshots.

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How it works

1

Upload the video

MP4 up to 20 seconds of source, up to 1080p input resolution. If your video is longer, cut it first.
2

Pick the factor

2x (most cases) or 4x (when you start from low resolution and want to land on 4K). Cost scales quadratically because 4x renders ~4× the pixels of 2x.
3

Generate and download

The job runs async: leave it queued, we ping you when it’s done. Download MP4 ready to publish.

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Cost

Duration × factorApprox cost
5 s at 2x30 cr
10 s at 2x60 cr
5 s at 4x120 cr
10 s at 4x240 cr
The factor drives the bill: 4x costs 4× a 2x job at the same duration. If you only need the clip to look good on TikTok or Reels, 2x is usually enough.

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Best practices

  • Start at 2x. If you still want more after seeing the result, run it again at 4x. You save credits on what was a test.
  • Don’t mix upscale with aggressive compression. If your source is badly compressed, AI recovers what it can, but some detail is already lost.
  • For long pieces, chunk first (10 s max per chunk) and rejoin in your editor.

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Limits

  • 20 seconds max of source per job.
  • 1080p input max (4K input adds nothing and burns more compute).
  • MP4 only.
Try it: zevor.ai/ai-video-upscaler. For a single image, see Upscale image.