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Restore an old photo
CodeFormer

CodeFormer

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What is CodeFormer ?

CodeFormer is an AI-powered tool designed to restore old photos to their former glory. It leverages advanced machine learning algorithms to enhance, repair, and revitalize degraded or damaged photographs, bringing new life to cherished memories.

Features

• AI-enhanced restoration: Utilizes cutting-edge AI technology to automatically detect and repair damaged areas of photos.
• Noise reduction: Effectively removes digital noise and grain for smoother, cleaner images.
• Color enhancement: Restores faded colors and ensures natural-looking tones.
• User-friendly interface: Simple and intuitive design for seamless navigation.
• Preview functionality: Allows users to see before-and-after results in real time.
• Batch processing: Enables restoration of multiple photos at once for efficiency.
• Compatibility: Supports various image formats, including JPG, PNG, and more.
• Shareable outputs: Easily save and share restored photos in high quality.

How to Use CodeFormer ?

  1. Upload your photo: Import the old or damaged photo you want to restore.
  2. Adjust settings (optional): Customize settings like brightness, contrast, or color balance if needed.
  3. Preview the result: Use the preview feature to see how your photo will look after restoration.
  4. Apply restoration: Let CodeFormer work its magic by clicking the restore button.
  5. Edit further (optional): Make additional manual adjustments if desired.
  6. Save and share: Download the restored photo or share it directly via your preferred platforms.

Frequently Asked Questions

What file formats does CodeFormer support?
CodeFormer supports JPG, PNG, BMP, and TIFF formats, ensuring compatibility with a wide range of image files.

Can CodeFormer restore heavily damaged or torn photos?
Yes, CodeFormer is capable of repairing torn or heavily damaged photos by using AI to fill in gaps and reconstruct missing areas.

How long does the restoration process typically take?
The restoration process is quick and efficient, typically taking only a few seconds to a minute, depending on the size and complexity of the image.

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