Restore old and damaged photos with AI technology. Auto-enhance brightness, contrast, sharpness and remove noise to bring photos back to life. All processing happens in your browser to protect your privacy.
Drag & drop or click to upload a photo to restore
Supported: JPG, PNG, WebP (max 20MB)Upload an old or damaged photo you want to restore. You can drag & drop or click to select a file. Supports JPG, PNG, and WebP formats up to 20MB. Works with low-resolution photos, noisy images, faded vintage photos, and physically damaged prints.
Select a restoration mode based on the photo's condition. 'Auto Restore' applies comprehensive corrections for brightness, contrast, and sharpness. 'Noise Reduction' smooths digital grain. 'Color Correction' fixes faded or off-white-balanced photos. 'Scratch Removal' reduces marks from physical damage.
Use the strength slider (0–100%) to control how aggressively the restoration is applied. Lower values stay closer to the original, while higher values apply stronger effects. Most photos look best at 60–80%. Try different values to find the best balance for your image.
Click 'Restore Photo' to begin. Processing completes within seconds. Once done, use the before/after comparison slider to see the difference. Drag the slider left and right to compare the original and restored versions side by side.
When satisfied with the result, click 'Download Restored Image' to save it as a PNG file. The original resolution is preserved at maximum quality. You can try different modes or strength values on the same photo to compare results.
Restore scanned film photos and old family albums to preserve them in sharper, more vivid quality. Auto brightness and color corrections can bring decades-old photos back to a modern look.
Improve low-light or blurry smartphone photos before posting to Instagram or Facebook. Sharpen details and remove noise to make your shots look professionally taken.
Restore scanned images of old receipts, contracts, and certificates so text is easier to read. Boost contrast and reduce noise to improve legibility for digital archiving.
Brighten up underexposed travel photos taken in backlit or nighttime conditions. Color correction can fix the yellow cast from fluorescent lighting to restore natural skin tones and scenery.
This tool uses the browser's Canvas API to run image processing algorithms — auto brightness/contrast/saturation adjustment, Gaussian blur-based noise reduction, and median filter-based scratch mitigation. These are the same core techniques used in professional photo restoration. No cloud AI servers are used, so processing is fast and completely private.
No, never. This tool runs entirely client-side in your browser. Uploaded photos are loaded into browser memory temporarily and never transmitted to any server. Closing the tab or refreshing the page immediately clears all data. It is completely safe to use with personal family photos or sensitive documents.
Scanned film photos, photos taken in low light, slightly blurry shots from camera shake, and faded vintage prints respond best. However, severely blurred or very low-resolution images (under 100px), or photos with more than half of their content severely damaged, may not fully restore. Even in those cases, brightness and color improvements will still be visible.
Auto Restore applies brightness, contrast, and sharpening comprehensively. Noise Reduction uses Gaussian blur to smooth digital grain and JPEG compression artifacts. Color Correction auto-adjusts white balance and boosts saturation for natural colors. Scratch Removal uses median filtering on each pixel's neighbors to reduce scratches and dust spots.
Not always. Very high strength can cause over-sharpening halo artifacts around edges, or smear fine details during noise reduction. Most photos look most natural at 60–80%. Experiment with different values and choose whichever looks best for your specific photo.
The restored image is saved as a PNG file, which uses lossless compression so no quality is lost. The file may be larger than the original, but this preserves all restoration detail. If you need JPG format, you can convert the PNG using any image converter after downloading.
An AI photo restorer is a tool that improves old or damaged photos using digital image processing algorithms. It combines brightness auto-correction, contrast enhancement, noise reduction, color correction, and scratch mitigation to recover a photo's original appearance. It is especially effective for scanned family film photos, vintage prints, and noisy digital shots taken in low light.
Photo restoration is based on pixel value analysis and statistical correction. Brightness correction analyzes the average luminance of the entire image and adjusts it toward a target value. Noise reduction smooths outlier pixels by computing the average of neighboring pixels. Scratch removal uses a median filter to replace pixel values that differ greatly from their surroundings. Color correction analyzes RGB channel averages to neutralize color temperature and boost saturation.