AI Video Upscaler
Raise the resolution of a clip and recover detail lost to compression. Useful for old footage, screen recordings and low-bitrate exports. Free credits.
What can you create with AI Video Upscaler?
AI video upscaler for low-resolution clips
Feed it a low-resolution clip and it reconstructs detail rather than just enlarging pixels. The typical candidates are old phone footage, screen recordings that were captured at a low bitrate, and clips that have been re-uploaded through two or three platforms and picked up compression damage on each pass. The improvement is most visible on faces and text, which are the things the eye checks first.
What upscaling can and cannot recover
It can recover edge definition, plausible texture and readable text at moderate scale factors. It cannot invent information that was never captured — a face that is twelve pixels across will come back sharper but not identifiable, and heavy motion blur stays blurred because the detail was lost at the sensor. Treating upscaling as restoration rather than resurrection sets the right expectation.
Upscaling vs re-generating a clip
If the clip is something you generated here, regenerating at a higher setting usually beats upscaling, because the model is working from the prompt rather than from a degraded copy. Upscaling is for footage you cannot regenerate: archive material, client-supplied media, a screen recording of something that no longer exists. Knowing which situation you are in saves a lot of credits.
Supported clip lengths
Clip length limits follow the same ceiling as generation — up to sixteen seconds in a single pass. Longer material gets processed in segments and rejoined. Because upscaling is deterministic in a way generation is not, segments cut together without the continuity problems you would get from stitching separately generated clips. Because upscaling is deterministic in a way generation is not, the rejoined segments cut together cleanly without the continuity problems you would get from stitching separately generated clips.
Upscaled video for commercial use
Paid plans include a full commercial license, so upscaled footage can go into client work and advertising. Worth remembering that licensing covers our output, not the input: if the source clip is not yours to use, upscaling it does not change that. For archive and stock material, check the original terms before the improved version goes anywhere public. For archive and stock material, check the original terms before the improved version goes anywhere public, because a higher-resolution copy is still the same footage.
What usually goes wrong, and how to avoid it
The expectation gap is the main problem. Upscaling makes soft footage sharper; it does not make unusable footage usable. Faces below a certain pixel size come back sharper but not identifiable, and text that was illegible stays illegible in a more confident-looking way. Check a still frame from the source at full size before spending credits — if you cannot read it there, the upscale will not rescue it.
How to use AI Video Upscaler
- 1Sign in (free)
Create a SoonMaker account in one click with Google. You'll get free credits immediately — no card required.
- 2Upload a photo or describe the shot
Most video tools start from a still image — drop one in and it becomes the first frame. For text-to-video, just describe the scene, the motion, and the camera move.
- 3Pick a model and render
Choose from 16 video models depending on what matters: Veo 3.1 for synced audio, Kling 3.0 for stylised motion, Seedance 2.0 for commercial polish. Hit Generate and download the clip.