Restore & Colorize Old Photos with Nano Banana AI

Bring precious memories back to life! With Media.io’s Google Nano Banana AI model, you can repair scratches, remove damage, enhance resolution, and colorize faded black-and-white photos online in seconds. Just upload your vintage photo, select Nano Banana AI, and let the magic happen!

Orginial Image
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Prompt for AI Old Photo Restoration
Restore and colorize this photograph perfectly, remove all damage and scratches, enhance clarity while maintaining the original composition and people, natural skin tones and colors
Restore Old Photo Now
Vintage Family Photo Repaired by Nano Banana at Media.io.
after image
Orginial Image
before image
Prompt for AI Old Photo Restoration
Restore and colorize this photograph perfectly, remove all damage and scratches, enhance clarity while maintaining the original composition and people, natural skin tones and colors
Restore Old Photo Now
Vintage Family Photo Repaired by Nano Banana at Media.io.
after image
Orginial Image
before image
Prompt for AI Old Photo Restoration
Restore and colorize this photograph perfectly, remove all damage and scratches, enhance clarity while maintaining the original composition and people, natural skin tones and colors
Restore Old Photo Now
Vintage Family Photo Repaired by Nano Banana at Media.io.
after image
Orginial Image
before image
Prompt for AI Old Photo Restoration
Restore and colorize this photograph perfectly, remove all damage and scratches, enhance clarity while maintaining the original composition and people, natural skin tones and colors
Restore Old Photo Now
Vintage Family Photo Repaired by Nano Banana at Media.io.
after image

How to Restore Old Photos with Nano Banana AI

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Step 1: Choose the Nano Banana AI Model

Go to Media.io/ai and select Image-to-Image from the left panel. From the AI model options, pick Nano Banana, the best image model for photo restoration, vintage repair, and colorization.

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Step 2: Upload Your Damaged Photo

Upload your old, faded, or scratched photo. You can either write a custom prompt like “restore, remove scratches, colorize naturally” or simply choose from preset restoration prompts to speed things up.

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Step 3: Generate & Download Your Restored Image

Click Generate. In seconds, your photo is repaired, enhanced, and optionally colorized. Preview the result, then download your restored image in HD — watermark-free and ready to print or share.

Step 1: Choose the Nano Banana AI Model
Step 2: Upload Your Damaged Photo
Step 3: Generate & Download Your Restored Memory

FAQs About AI Old Photo Restoration

1. What is AI old photo restoration?

AI old photo restoration is the process of using artificial intelligence to repair and enhance damaged or faded photographs. Instead of manual retouching in Photoshop, AI tools like Media.io can automatically remove scratches, fix discoloration, sharpen blurry portraits, and even colorize black-and-white photos.

Yes! Modern AI tools are trained on thousands of reference images to add realistic skin tones, clothing colors, and natural backgrounds to black-and-white photos. With Media.io’s Nano Banana model, you can bring old family portraits and vintage shots back to life in full color with one click.

AI can repair common types of photo damage including scratches, stains, water spots, faded colors, cracks, and blurry details. Media.io’s Nano Banana restoration model is designed for exactly these scenarios — repairing both minor imperfections and heavily aged photos.

Media.io offers new users free credits to test the tool, plus daily login rewards. After that, it runs on a pay-as-you-go credit system — starting as low as $0.09 per credit — making it one of the most affordable AI restoration tools online.

For the best results, upload a high-resolution scan or photo of your original image. If your photo isn’t studio quality, you can use Media.io’s AI Object Remover to delete unwanted marks or remove background before restoration, and the AI Image Enhancer to upscale resolution. This ensures your restored photo looks sharp, natural, and ready for printing.

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