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

  1. 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.
  2. Upload or import the photo into the site's interface.
  3. 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.
  4. 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.
  5. 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.
  6. 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