Increase image resolution 2× or 4× with AI. Free, unlimited, no account needed — runs entirely in your browser.
Drop images to upscale
AI-powered sharpening — 2× or 4× resolution, fully in your browser
JPG, PNG, WebP, HEIC — up to 100 MB each
The same model family used by professional desktop tools like Upscayl, running entirely in your browser. No server, no account, no upload.
Drag the handle left and right to compare the original and upscaled versions side by side at full resolution. See exactly what the AI recovered.
2× is fast and ideal for web use. 4× is best for print, large-format display, or images that started very small. Choose what fits your use case.
Upload multiple images and upscale them all in one click. Download each result individually or grab the entire batch as a ZIP archive.
The AI model downloads to your browser on first use and is cached automatically. Every subsequent session starts in seconds with no re-download.
Powered by TensorFlow.js and WebAssembly, the AI runs directly on your CPU. Nothing is uploaded to any server at any point.
Drag and drop one or more images onto the page, click to browse, or paste from your clipboard. Supports JPG, PNG, WebP, and HEIC. All processing stays in your browser — nothing is sent to a server.
Select 2× for a fast result or 4× for maximum resolution — or switch to "Target size" and type an exact pixel size to aim for. On first use, the AI model downloads once to your browser — subsequent runs are instant. A live progress bar tracks each image as it's processed tile by tile.
When processing is complete, use the before/after slider to compare the original and upscaled versions side by side. Download individually or grab all files as a ZIP archive.
Whether you're a photographer preparing a print, a designer scaling up a client asset, or a creator repurposing an old screenshot — PixelTools upscales your images with AI sharpness, for free, without uploading them anywhere.
Recover detail in older low-resolution scans, upscale crops, or prepare images for large-format print without the quality loss of traditional interpolation.
Turn small thumbnails and screen captures into high-resolution assets for video, social media, or digital advertising without visible pixelation.
Convert web-sized images to print-ready resolution. A 72 DPI image for screen becomes a sharp 300 DPI asset for posters, banners, or packaging at 4×.
Upscale pixel art, old game screenshots, or archived photos to high-DPI displays while preserving or enhancing the original detail.
Yes, completely free with no limits. Upscale as many images as you want — no account, no credits, no subscription required.
No. The AI models (RealCUGAN for 2×, RealESRGAN for 4×) run entirely in your browser using WebAssembly and TensorFlow.js. Your images never leave your device.
2× doubles the resolution (e.g., 1000×1000 → 2000×2000) and is the fastest option. 4× quadruples the resolution (e.g., 1000×1000 → 4000×4000) and takes longer but produces significantly more detail, ideal for printing or large-format display.
PixelTools uses two different AI models depending on your scale factor: RealCUGAN powers 2× upscaling — chosen for speed with clean, low-artifact results — and a fast RealESRGAN variant powers 4× upscaling, trained to recover more detail at the cost of more processing time. Both run entirely in your browser via TensorFlow.js, the same model family used by professional tools like Upscayl.
Processing time depends on image size and your device — fast on a modern computer, slower on phones or older hardware, and longer for very large images (above 3000px on either side). The first run also includes a one-time model download (~5–35 MB depending on the scale selected).
Input: JPG, PNG, WebP, and HEIC. By default the output matches your input format, or you can choose JPG, PNG, or WebP for the output regardless of what you uploaded.
Yes. Upload as many images as you need. They are processed one at a time to avoid memory issues, with a progress bar for each file. When done, download all as a ZIP.
Yes, for low-resolution images. Traditional resizing (bicubic interpolation) blurs edges and invents no new detail. ESRGAN is trained on millions of images and learns to reconstruct realistic textures, hair, text, and edges — producing a noticeably sharper result.
AI image upscaling explained: how neural networks recover detail when enlarging photos, when AI upscaling is worth using, and when to skip it. Covers 2x, 4x, and 8x upscaling tradeoffs.
Vector vs raster: vector images use math (infinite scaling), raster uses pixels (fixed resolution). Here's the mechanism, not just the rule.
DPI (dots per inch) measures print/scan resolution; PPI measures screen pixel density. Here's the difference, and how pixeltools' OCR tool uses it.
Free, instant, no account needed.