Local AI Image Upscaler (2x)
Sharpen, enhance, and super-resolve your photos directly in your web browser using the Swin2SR Swin Transformer neural network. Powered by client-side WebGPU acceleration with total privacy and zero server uploads.
AI Image Upscaling Tool
Inference & Model Settings
Runs shaders directly on your GPU for peak super-resolution speed.
Fastest download & inference with minimal quality trade-off (Recommended)
Drag and drop your image here
or click to browse from your device
Or try with a sample image:
Why Choose a Local, In-Browser AI Upscaler?
Compare how client-side in-browser AI gives you the privacy of desktop software with the zero-install convenience of the web.
| Feature / Attribute | Our In-Browser Local AI | Cloud AI Services | Desktop Apps (e.g. Upscayl) |
|---|---|---|---|
| Data Privacy & Security | 100% On-Device (0 bytes uploaded) | Uploaded to 3rd-party cloud servers | 100% Local / Offline |
| Installation Required | None (Instant in browser) | None (Requires browser upload) | Heavy install (1–5 GB+ binaries) |
| Hardware Acceleration | WebGPU shaders + WASM fallback | Cloud GPUs (Subject to queues) | Native CUDA / Vulkan / Metal |
| Pricing & Usage Limits | 100% Free & Unlimited | Paid credits / Subscriptions | Free / One-time license fee |
| Account / Sign-up Required | No account or API key needed | Email signup / OAuth mandatory | Usually none |
| Data Transfer During Upscaling | 0 KB (Processed entirely on-device) | Uploads & downloads full image payload | 0 KB (100% Local) |
How In-Browser Super-Resolution Works
Experience machine learning running natively in modern web browsers without APIs, subscriptions, or third-party servers.
Select or Upload Your Image
Drag & drop any PNG, JPG, or WebP file into the browser, or select a built-in sample preset. The image is decoded locally in browser memory without sending a single byte to any remote server.
Local On-Device AI Inference
Transformers.js initializes the Swin2SR super-resolution ONNX neural network directly in your browser cache. WebGPU compute shaders (or WASM threads) process image tiles in parallel on your local GPU.
Inspect & Export 2x High-Resolution Image
Slide the interactive Before/After comparison divider to inspect recovered textures, sharp edges, and fine details, then export the uncompressed 2x result as a lossless PNG or JPEG.
Features & Capabilities
Built with modern web standards for high performance, portability, and absolute privacy.
100% Private & In-Browser
Your images never leave your device. All super-resolution computation runs locally using client-side AI with zero cloud uploads.
WebGPU Acceleration
Harness the power of your GPU via WebGPU shaders for rapid 2x super-resolution with automatic multithreaded WASM fallback.
Swin2SR Transformer AI
Powered by Swin Transformer architecture with shifted-window self-attention to recover crisp edges, natural textures, and fine details.
Interactive Split Inspection
Compare original and upscaled images with a keyboard-accessible draggable split-view slider and zoom magnification.
Multiple Formats & Quantization
Supports PNG, JPG, and WebP. Choose between 4-bit (q4), 8-bit quantized, fp16, and fp32 precision weights.
Free & Open Source
No subscription, no account, no API key, and no rate limits. Powered by Hugging Face Transformers.js ONNX runtime.
Practical Super-Resolution Use Cases
From private document preservation to game sprite upscaling, discover how in-browser 2x AI super-resolution enhances diverse visual workflows.
Confidential & Private Photos
Upscale sensitive family portraits, legal documents, IDs, medical scans, or proprietary assets with guaranteed confidentiality since images never leave your local device.
Web Design & Retina Display Assets
Double the resolution of legacy logos, icons, product photography, and UI thumbnails to deliver crisp graphics on modern 4K, 5K, and High-DPI screens.
AI Art & Generative Image Enhancement
Sharpen low-resolution outputs from Midjourney, Stable Diffusion, or DALL-E, eliminating pixelation while restoring natural texture and edge clarity.
Pixel Art & Classic Game Sprites
Upscale vintage 2D game textures, retro sprites, and pixel art illustrations using neural super-resolution to recover clean edges without blur.
E-Commerce Product Photography
Enhance supplier product photos and merchandise catalog previews to give shoppers high-clarity zoom views without costly reshoots.
Scanned Documents & Historic Photos
Breathe new life into archived family photos, historical documents, and old smartphone captures with shifted-window self-attention restoration.
Technical Architecture & Model Details
How Swin2SR leverages shifted-window vision transformers and WebGPU compute shaders to deliver real-time neural image reconstruction.
Swin2SR (Swin Transformer for Image Super-Resolution)
Shifted-window self-attention with deep residual feature extraction
2x Classical Super-Resolution
Reconstructs 4x total pixel count (2x width × 2x height)
Transformers.js v3 + ONNX Runtime Web
Hardware-accelerated client-side neural execution
WebGPU compute shaders & Multithreaded WebAssembly (WASM)
Automatic fallback ensures 100% device compatibility
4-bit (q4), 8-bit (q8), 16-bit (fp16), 32-bit (fp32)
Compact ~13MB to ~47MB download with browser-level caching
Zero-Knowledge Local Client Execution
No backend API routes, telemetry on user images, or cloud uploads
Frequently Asked Questions
Everything you need to know about local in-browser AI super-resolution, privacy, WebGPU compatibility, and quantization.
A Local AI Image Upscaler is a super-resolution application that runs machine learning models directly inside your web browser on your own computer. Unlike traditional cloud upscalers that transmit your photos to remote servers, our tool loads the Swin2SR neural network into your browser cache using Transformers.js and ONNX Runtime Web. It utilizes your local GPU via WebGPU (or your CPU via WebAssembly) to reconstruct lost high-frequency details, upscaling images by 2x with zero server involvement.
No, absolutely not. All image decoding, tile processing, neural super-resolution inference, and canvas rendering happen 100% locally in your browser's private memory space. No images, metadata, or telemetry are ever uploaded or transmitted across the internet.
Traditional scaling methods (like bicubic or bilinear interpolation) simply average neighboring pixels, creating blurry, soft, or pixelated results. Swin2SR (Swin Transformer for Image Super-Resolution) is a deep neural network that uses shifted-window self-attention to understand image semantics and high-frequency textures. It intelligently synthesizes sharp edges, realistic textures (such as animal fur, fabric weaves, and foliage), and removes compression artifacts.
WebGPU is the modern W3C standard that grants web browsers direct, low-overhead access to your device's graphics processor (GPU). By compiling neural network operations into GPU compute shaders, WebGPU executes tensor math massively in parallel, achieving inference speeds up to 10x faster than CPU-only WebAssembly execution.
Our tool includes automatic fallback to WebAssembly (WASM). If WebGPU is unavailable or disabled on your system, the upscaler runs multithreaded CPU inference via WASM. You can also manually toggle between WebGPU and WASM at any time in the settings bar.
For most users, 4-bit (q4) is recommended as it provides the fastest download (~23 MB) and lowest memory footprint with virtually indistinguishable visual quality. 8-bit (q8) is the smallest download (~13 MB). If you have a dedicated modern GPU with float16 support, fp16 (~24 MB) provides maximum numerical precision.
No! After the page loads and model weights are downloaded to your browser cache on first use, all image processing and neural super-resolution inference occur 100% locally in your browser memory. No image data or metadata is ever transmitted over the network.
Input images between 128×128 and 1024×1024 pixels in PNG, JPG, or WebP formats are optimal for browser performance. The maximum allowed file size is 10 MB and max input dimension is 2048×2048 px. Upscaled results can be exported as uncompressed lossless PNG or standard JPEG.
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