Fix blurry photos online with AI

Blur is a loss of information, but not necessarily an irreversible one. The question is whether the information was destroyed or merely dispersed. A photo taken with a slightly unsteady hand at a slow shutter speed has spread each sharp point of light into a short streak — the original data is still there, smeared across adjacent pixels. The right algorithm can reverse that smear. This is fundamentally different from a photo taken at a resolution too low to capture the detail in the first place. Understanding blur types matters because different causes require different corrections. Motion blur from a moving subject creates directional streaking. Camera shake during exposure creates a more complex, curved smear path. Soft focus from slight autofocus error creates a radially symmetric halo around sharp edges. Diffraction blur from a very small aperture creates a specific frequency-domain signature. Compression artifacts mimic blur but respond differently to treatment. Pinin's deblurring model classifies the blur type before applying correction, which is why results look substantially more natural than generic unsharp mask filters. The goal is to recover what was in the scene — not to add artificial edge contrast that signals sharpening to a discerning eye. First photo is completely free.