VideoEnhancer

VideoEnhancer is a browser-based AI tool for improving existing videos. It applies FlashVSR super-resolution to soften low-resolution footage, reduce compression noise and grain, and improve motion artefacts before exporting an MP4. There is nothing to install; users work in a modern desktop or mobile browser. The basic workflow is to upload a clip, choose an output resolution, run the enhancement and download the result.

For Video HD, the product describes MP4 output at 1080p, 2K or 4K and jobs up to 120 seconds and 500 MB. The upload widget also lists MOV, AVI and WebM up to 50 MB. The input is an existing video, not a blank prompt: this listing is focused on upscaling and restoration rather than claiming that every clip can be recreated from scratch. Related restoration use cases include old home movies, VHS, camcorder material, anime, security-camera and dashcam footage. It can also help clean up soft social clips and AI-generated footage. These workflows are useful for creators, hobbyists and teams preparing short videos for online sharing, while the maximum file limits should be checked before starting a job.

The service offers one free five-second trial without card details. Further video processing uses paid credits. Basic is $19.90 per month for 1,660 credits and Premium is $39.90 per month for 4,000 credits; one-time credit packs are available for users who do not want a subscription. The published plan cards say outputs have no watermark and paid plans include commercial use. Most videos are described as taking 2–8 minutes to process, and completed files remain downloadable for 3 days before deletion.

Enhancement is a generative reconstruction: texture may be predicted detail rather than information recovered from the source. It is therefore not suitable for forensic or legal evidence. The published Video HD maximum is 120 seconds and 500 MB per file; it is not intended for entire archives, longer videos, or footage that cannot leave the user's device. Those constraints are important when deciding whether to try the tool. Results depend on source quality and the selected output resolution, so an upscale is not a guarantee of restoring every lost detail. For long material, batch projects or highly sensitive footage, users should plan for the published constraints and choose a different workflow when needed.