Photo deblurring is useful when a shot was captured on the move, in low light, or handheld at a slow shutter speed. The workflow reconstructs fine texture, edges, and faces that were lost to motion or focus blur so the result looks closer to an intended sharp capture without uploading the file anywhere.
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Pixlane
Preparing the tool on your device
Pixlane is loading locally. No upload, no signup, and your files stay on your device.
Remove motion blur and out-of-focus softness from your photos with NAFNet AI deblurring, directly in your browser.
All processing stays on your device. No signup, no upload to a server, and no watermark.
How AI Deblurring Works
Blurry photos happen when camera shake, subject motion, or poor focus smears fine detail across nearby pixels. Pixlane uses NAFNet — a 2025-era restoration network — to reverse that smearing. The model runs locally via WebAssembly and ONNX Runtime so your photo never leaves your device.
Best Practices
Start with the highest quality source image available. Mild to moderate motion blur recovers best. Very severe blur or low-light noise mixed with blur can only be partially restored. NAFNet is a restoration model, not a generative model, so it recovers detail that was lost rather than inventing new content.