# AI Old Photo Restoration – Repair and Colorize

> Repair scratches and faded detail in old family photos.

Canonical URL: https://allimageai.com/ai-tools/old-photo-restoration/

Website: All Image AI

Language: English

Photo restoration has one hard rule: it still has to be the same person. The Face Fidelity default leans towards preservation — a little residual softness is better than rebuilt features. Colourisation is inference, so clothes and background colours are plausible guesses, not facts.

## Default pipeline

1. Upload the old photo
2. Remove scratches and noise
3. Repair faces (fidelity first)
4. Optional colourisation
5. Upscale 2x and export

## How to use

1. Upload a scan — a flatbed scan beats a phone photo of the print.
2. Turn on Colorize if you want colour.
3. If the result does not look like the person, raise Face Fidelity and rerun.
4. Export.

## Supported models

- [CodeFormer](https://allimageai.com/models/index.md): S-Lab, NTU; Active.
- [Nano Banana 2](https://allimageai.com/models/nano-banana-2.md): Google; Active.
- [Clarity Upscaler](https://allimageai.com/models/index.md): Philz1337x; Active.

## Output

- Format: JPG / PNG
- 2x upscale

## Frequently asked questions

### Are the colours accurate?

No, they are inferred. If you know the real colours, state them in the prompt.

### Can it fix heavy damage?

For large missing areas, run Object Remover on the damage first, then restoration.

## Image handling

Uploaded images are sent to the configured inference service for processing. You can delete a generation from your history.

## Related tools

- [Image Upscaler](https://allimageai.com/ai-tools/image-upscaler.md)
- [Face Enhancer](https://allimageai.com/ai-tools/face-enhancer.md)
- [AI Image Editor](https://allimageai.com/ai-tools/ai-image-editor.md)