Upscale low-resolution MP4 video to HD with AI in your browser
Use this online AI video enhancer for a short clip that looks soft, compressed, or too small for a modern screen. Real-ESRGAN analyzes each decoded frame and reconstructs a sharper 2x version instead of applying only a standard resize filter.
The model and inference runtime load after you start. Frame decoding, WebGPU inference, MP4 encoding, and audio handling all run locally, so the selected video is never sent to our server.
- Upscale MP4 width and height by 2x with AI-restored detail
- Process private clips locally without a remote video upload
- Preview the original and enhanced MP4 before downloading
How to enhance video quality online free without uploading
Select one MP4 up to 50MB, 5 seconds, and 720p. The tool checks the duration and resolution before it starts so unsupported jobs do not consume model-loading time.
Click Enhance Video Quality in desktop Chrome or Edge. The browser downloads the pinned Real-ESRGAN ONNX model, initializes WebGPU, then enhances overlapping tiles for every frame while showing progress.
Keep the tab open until hardware-accelerated MP4 encoding finishes. Compare the before and after previews, download the 2x MP4, or reset the tool for another short clip.
Enhance blurry, compressed, anime, and screen recording videos online
AI upscaling is most useful when a short source clip needs more pixels and cleaner edges before editing, sharing, or viewing on a larger display.
Improve blurry and compressed MP4 video clips
Restore more visible edge definition in small social clips, old exports, and messaging-app videos affected by resizing or compression.
Upscale anime, illustrations, and game footage to 2x
Strengthen line work and high-contrast details in animated clips, captured gameplay, and stylized motion graphics.
Make low-resolution screen recordings easier to read
Increase the pixel dimensions of short UI demonstrations and tutorial excerpts before adding them to a larger HD project.
Why browser-based AI video upscaling takes longer than video resizing
A normal resize calculates new pixels with a fixed interpolation rule. Real-ESRGAN instead runs a neural network across overlapping regions of every frame, so processing time grows with resolution, frame count, and GPU performance.
The first run also downloads the browser inference runtime and an approximately 4.9MB model. Keeping clips short makes memory use predictable; desktop Chrome or Edge with WebGPU provides the supported path for this first version.