How to Restore and Colorize a Photo on colourise.sg
Updated
colourise.sg is an AI photo restoration service that converts monochrome (black-and-white or grayscale) images into colorized photographs and can also isolate subjects from their backgrounds. You upload a grayscale photo, the site's neural networks predict and apply period-appropriate color, and you review the result before saving it. It suits anyone restoring family archives, digitizing old prints, or producing clean subject cutouts — no technical expertise is required, and the site states processing takes seconds.
What the site does
According to the site's own description, the core capabilities are:
- Intelligent color restoration — AI algorithms analyze grayscale imagery and apply "historically authentic" color palettes, aiming for period-appropriate results rather than arbitrary color.
- Precision background isolation — extracts photographic subjects at "pixel-level accuracy," useful for product photography, profile images, or layered compositions.
- Bulk image processing — apply color restoration, background removal, or combined enhancements across an entire folder in a single operation, intended for large archives or digitization projects.
- Cross-platform, cross-format support — the site states it works with "any platforms, any formats."
Step-by-step: colorize and restore a photo
- Prepare your source image. Use a grayscale or black-and-white photo. Color input isn't the target here — the AI predicts color from monochrome data, so a clean scan or digital copy gives the model the most to work with.
- Upload or import the photo into the site's interface.
- Choose your operation. Based on the site's described features, you can apply color restoration, background removal, or a comprehensive enhancement. For a straightforward restoration, start with colorization alone; add background isolation only if you need a cutout.
- Review the colorization interpretations. The site explicitly supports comparing "various colorization interpretations" so you can judge different restoration approaches side by side. This matters because AI color prediction involves choices — skin tones, clothing, and period details can come out differently between passes.
- Select the result that matches your intent. The site frames this as personalizing results "according to individual preferences and historical accuracy considerations" — so weigh both how it looks and whether the colors are plausible for the era.
- Save or export the image. The site describes preserving the chosen result "through effortless storage," meaning you save the version you selected rather than a single fixed output.
For multiple photos, use the batch function to run color restoration or background removal across a whole folder in one operation instead of repeating the steps per image.
What to watch for
- Colorization is a prediction, not a record. The AI infers colors from grayscale values; it cannot know the true colors of clothing or objects. Treat output as a plausible interpretation, and use the comparison step to pick the most believable option.
- Background isolation is a separate task. If you only want color, you don't need to run background removal — the site treats these as distinct capabilities you can apply individually or together.
- Pricing is credit-based. The site references buying credits, with a package "as low as 10 credits." The page evidence does not specify exact prices, what a credit covers, or whether any free tier exists, so check the current credit terms on the site before committing to a large batch.
Quick reference
| Goal | What to do |
|---|---|
| Colorize one old photo | Upload grayscale image → run color restoration → compare interpretations → save |
| Cut out a subject | Upload → apply precision background isolation → save |
| Restore a whole archive | Use bulk processing to apply colorization/enhancement across a folder |
| Get the best color match | Review multiple colorization interpretations and choose on both aesthetics and historical plausibility |