AI图像超分辨率 — 2倍·4倍放大无损画质
AI预测并填充缺失像素，高质量放大图像。2倍或4倍放大保持清晰度。无服务器上传。完全免费。
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What is AI Image Upscaling?
Standard upscaling copies existing pixels, resulting in blocky pixelation. AI upscaling uses deep learning to analyze surrounding pixel patterns and predict new pixels, producing sharper results with preserved edges.
When to Use It
Restoring old low-resolution photos, enlarging small images for print, converting thumbnails to high-resolution, and improving web-compressed images before sharing.
2x vs 4x
2x is faster and produces smaller files — ideal for web and social media. 4x gives maximum quality for print or large displays but takes longer to process.
Pixkit AI Upscale Features
Powered by TensorFlow.js running entirely in your browser. No server uploads. GPU-accelerated via WebGL. Unsharp masking applied after upscaling for extra sharpness. Free and unlimited.
常见问题
How long does processing take?
A 1000×1000 image at 2x typically takes 5–15 seconds. Larger images or 4x scale take longer. First run requires AI model loading.
Which images benefit most?
Images with text, buildings, landscapes, and clear lines show the most improvement. Heavily compressed JPEG images may have limited improvement.
Does file size increase a lot?
2x upscaling quadruples pixel count, so file size increases significantly — typically 3–5x the original. Use the resize tool to reduce final dimensions if needed.
Is it available on mobile?
Yes — modern Chrome and Safari on iOS/Android are supported. Mobile devices process more slowly, so smaller images are recommended.