Old Photo Restoration
Bring faded, cracked, or scratched old photos back to life with AI restoration.
AI Image Editor
Transform your photos with AI-powered editing. Remove backgrounds, change styles, enhance lighting, and more with simple text descriptions.
演示图集
还没有生成图像
AI 图片编辑器应用案例
看看 AI 如何通过专业编辑功能转换您的图片
背景移除与替换
移除不需要的背景并替换为专业场景、自定义环境或艺术氛围。
💡 移除背景并替换为专业摄影棚环境
风格迁移与艺术效果
将照片转换为油画、水彩或卡通效果的艺术作品，同时保留主体细节。
💡 转换为油画风格，印象派技法，色彩鲜艳
对象增强与光照调整
增强光照效果、调整色彩、去除瑕疵，通过 AI 智能修正提升整体图像质量。
💡 增强自然光照，调整色调为黄金时段，专业调色
FAQ
AI Image Editor 常见问题
Designed For
- Faded family portraits from the 1950s–1990s
- Scanned photos with scratches, stains, or tears
- Black-and-white photos with visible age damage
- Old school or group photos
- Archive images for print or digital preservation
Quick Facts
- Input
- JPG, PNG, WebP
- Output
- JPG, PNG
- Speed
- 8–20 seconds
- Cost
- 1 credit per image
How It Works
Upload a scan or photo of your old image
The AI repairs scratches, stains, fading, and loss of detail
Download the restored version at the same or enhanced resolution
Expert Tip
Scan at the highest resolution your scanner allows — ideally 600 DPI or above. The restoration model has more detail to work with on a higher-resolution input and will produce better results.
Popular Use Cases
Frequently Asked Questions
Can it fix scratches and tears?
Yes. The AI repairs physical damage including scratches, dust spots, creases, and some tears.
Does it colorize black-and-white photos?
Not by default. The restoration output stays true to the original color profile. Use the AI Image Editor for colorization.
What if a large section is missing?
The AI infers missing content from surrounding areas. Results vary — portraits work well, detailed backgrounds are harder.
What resolution should I scan at?
At minimum 300 DPI. For best results, scan at 600 DPI or higher.
Can I restore a photo that is both faded and blurry?
Yes. The restoration handles multiple damage types simultaneously.
Should I upscale before or after restoring?
Upscale first, then restore. Higher input resolution gives the restoration model more detail to recover.