Drop a photo. PixelBoost enhances it to 2K or 4K using AI super-resolution — entirely in your browser, never on a server.
Drop image here
PNG · JPG · WebP · Ctrl+V to paste
Visual excellence is directly correlated with user trust, brand authority, and digital conversion rates. PixelBoost bridges the gap between legacy assets and modern 4K displays without manual recreation.
Low-resolution artifacts undermine brand credibility. Upgrading asset fidelity to 4K ensures your product photography and digital interfaces look razor-sharp on ultra-high-definition screens.
Transform web-compressed graphics and legacy archives into pristine 2K and 4K print-ready media. Reconstruct missing pixel density for brochures and large-format displays.
Detailed visual context reduces buying friction. By eliminating pixelation from compressed source files, your storefront presents products with 4K clarity, reducing return rates.
Perfect for illustrations and game concepts. The neural network intelligently interprets edges, scaling digital art to 4K presentation while avoiding generic blurring.
When you upload proprietary assets to cloud upscalers, your data enters an external server. PixelBoost operates on a completely local architecture — zero data leaves your device, ever.
Your assets are never sent to a third-party server, cloud bucket, or external API. The upscaling pipeline runs entirely inside your browser sandbox.
Unreleased prototypes and proprietary designs remain safe. If data doesn't travel, it cannot be intercepted.
Because no information leaves the user's device, PixelBoost natively aligns with data protection guidelines, eliminating complex compliance overhead.
Cloud tools throttle based on subscription tiers. Local compute ensures an independent, predictable pipeline always ready to output high-resolution results.
The compact model is fetched when needed and may be cached by your browser. Once available, image inference runs locally on your device.
PixelBoost detects WebGPU capability and routes computation accordingly. On supported hardware, fp16 GPU inference dramatically outperforms CPU processing.
2K and 4K targets are reached through sequential ×2 passes. Each pass refines the previous output, producing results far superior to single-step interpolation.
No registration or watermarks. Upscale supported images locally, with 2K and 4K target modes and a safe output-size guard for browser memory.
Speed depends on your hardware and browser. Supported WebGPU devices may accelerate inference; otherwise PixelBoost falls back to the browser’s WebAssembly path. Larger tiles reduce tile count but can use more memory.
PixelBoost calculates passes dynamically based on input size. Each pass doubles the resolution. A 500px image needs approximately 3 passes to reach 4K — the UI shows the estimated count before you process.
A compact, quantized Swin2SR-lightweight Swin Transformer variant, loaded in-browser through Transformers.js. Download size depends on the selected execution backend and model files served by the model host.
Your selected image is processed locally and is not uploaded. PixelBoost downloads its model/runtime assets when needed; the inference step itself runs in your browser.