AI Image Upscaler

Upscale low-resolution images to 4K using Lanczos, Bicubic, or AI-enhanced algorithms. Runs entirely in your browser.

BETA This tool is in beta — the AI super-resolution model is experimental and may not always produce the desired results. The fast Lanczos mode is the reliable default. The first AI run downloads the AI model (about 1–2 MB); after that it runs on your device.

Drop your image here

Drag & drop, paste, or

Low-res photos Screenshots Icons Pixel art Any image

Any resolution

JPG · PNG · WebP · GIF · HEIC · RAW · TIFF · PSD and more
About this AI image upscaler

AI Image Upscaler enlarges low-resolution pictures to 2×, 4×, 8× or any custom pixel size — up to 4K, 8K and beyond — while keeping edges clean and detail sharp. It offers four engines: an ESRGAN-based AI super-resolution model that reconstructs detail, plus classic Lanczos, Bicubic and nearest-neighbour (Pixel Art) resampling, with optional sharpening, contrast, saturation and noise-reduction passes.

Everything runs locally in your browser on an HTML5 Canvas — your images are never uploaded to a server. The Lanczos, Bicubic and Pixel Art modes work entirely offline once the page has loaded; the AI Super-Resolution model is downloaded to your browser on first use and then runs on-device. People use it to:

Because processing happens on your own device, nothing is uploaded, stored or tracked — the only thing that ever leaves your browser is the one-time AI model download. The fast Lanczos mode is the reliable default; the AI super-resolution model is experimental (beta) and may not always produce the desired result.

How to use
  1. Drop an image onto the upload zone, paste it, or click "Choose a File" to browse — JPEG, PNG, WebP, BMP, HEIC, TIFF, PSD and camera RAW.
  2. Pick a scale (2×, 4×, 8× or a custom width/height), or choose a 720p/1080p/4K/8K preset.
  3. Select an algorithm: AI Super-Resolution, Lanczos, Bicubic or Pixel Art.
  4. Tune the sharpness, contrast, saturation and noise-reduction sliders, then choose an export format.
  5. Click "Upscale Now" to process, then "Download" to save the result to your device.
FAQ

Yes. As well as JPEG, PNG, WebP, GIF, BMP, ICO, SVG and AVIF, this tool now reads HEIC and HEIF (the format iPhones and most modern Android phones shoot in, using HEVC), TIFF, Photoshop PSD and PSB, TGA, Netpbm PPM/PGM/PBM, Apple ICNS, and camera RAW from every major brand — CR2, CR3, CRW, NEF, NRW, ARW, SR2, DNG, ORF, RAF, RW2, SRW, PEF, 3FR, ERF, MRW, DCR, KDC, MEF and X3F. Anything your browser cannot open by itself is decoded on your own device, in the page, before the tool touches it — nothing is uploaded and there is nothing to install. JPEG XL, JPEG 2000, DDS and OpenEXR are the exceptions; export those as PNG or JPEG first.

It increases an image's pixel dimensions and tries to keep it looking sharp instead of blurry. The AI Super-Resolution mode uses an ESRGAN-based neural model to reconstruct plausible detail, while the Lanczos, Bicubic and Pixel Art modes use classic resampling maths. Optional sharpening, contrast and noise-reduction passes refine the result.

You can upscale by 2×, 4× or 8×, or set a custom target width and height (with an optional locked aspect ratio). There are also one-click presets for 720p, 1080p, 4K and 8K.

AI Super-Resolution reconstructs detail and is best for photos (the model downloads once on first use). Lanczos gives the highest fidelity but is slower. Bicubic is fast and smooth. Pixel Art uses nearest-neighbour resampling to keep sprite and icon edges crisp.

You can load JPEG, PNG, WebP, BMP and other common image formats. Results can be exported as PNG, JPEG, WebP, AVIF, BMP or TIFF, with a quality slider for the compressed formats.

You're limited only by your browser's canvas memory. On most desktops 8K output works fine; mobile devices may struggle past 4K, especially with heavy sharpening.

Upscaling can't invent detail that was never captured, so results depend on the source. Lanczos is the reliable default for clean enlargements. The AI super-resolution model is experimental (beta) and may not always produce the desired result.

No. Every pixel is processed locally via HTML5 Canvas in your browser — your images never leave your device. The only network request is the one-time download of the AI model when you first use AI Super-Resolution.