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MergeImages Photo Colorizer

MergeImages Photo Colorizer is a free browser tool that predicts colors for black-and-white photos and scans.

Place
#25 of 26
Score
5.9

What MergeImages Photo Colorizer is

MergeImages Photo Colorizer is a free browser tool that predicts colors for black-and-white photos and scans. It is aimed at old family photographs, scanned prints and negatives, genealogy, archives, and historical images. You can open the page, upload a photo, and download a PNG without an account, email, extension, or app. The tool uses DDColor on Replicate, applies predicted color at 80% strength, and preserves the original image’s brightness channel. It accepts JPEG, PNG, WebP, and GIF files up to 7.5MB; images can also be pasted or supplied by URL. The output’s longest side is capped at 1024 pixels. The site says processing usually takes about 20 seconds, though cold starts can take up to a minute. Images are sent over HTTPS to its servers and Replicate, then automatically deleted within 7 days. The maker says images are not sold, shared, or used to train models. Color choices are predictions, not restorations: sepia input may be reinterpreted, and the tool does not repair scratches, tears, or fading. The free plan costs nothing.

Good

  • Accepts JPEG, PNG, WebP, and GIF.
  • No account, email, extension, or app required.
  • Output is a PNG up to 1024 pixels.
  • Images are automatically deleted within 7 days.

Watch out

  • Uploads are limited to 7.5MB.
  • Output’s longest side is capped at 1024 pixels.
  • Does not repair scratches, tears, or fading.
  • Colors are predictions; sepia may be reinterpreted.

Who it suits

It suits people who want to add predicted color to old family photographs, scans, genealogy materials, archives, or historical images. It is also a fit for users who want a browser workflow without installing an app or creating an account.

Verdict

MergeImages Photo Colorizer offers a simple browser route for adding predicted color to photos and scans. Its output is limited to 1024 pixels on the longest side, and it does not restore physical image damage.

Plans and prices

From MergeImages Photo Colorizer's own pricing page, checked 8 Oct 2026.

All about pricing
PlanPriceWhat it gives you
FreeFreeNo account or credits · no watermark or daily counter · automatic per-IP cap to stop bots · uploads up to 7.5MB · output longest side 1024px

The facts

Each one read from MergeImages Photo Colorizer's own pages, with the date it was checked.

What it does

Best fit
The maker recommends it for old family photographs, scanned prints and negatives, genealogy, archives, and historical images.checked 8 Oct 2026
Installation
No account, email, extension, or app is required; users open the page in a browser, upload a photo, and download the result.checked 8 Oct 2026
Limitations
The maker says colors are predictions, sepia input may be reinterpreted, and colorization does not repair scratches, tears, or fading.checked 8 Oct 2026
Model
It uses DDColor on Replicate and scales the predicted color to 80% strength.checked 8 Oct 2026
Output
The result is downloadable as a PNG, with its longest side capped at 1024 pixels.checked 8 Oct 2026
Preserves brightness
The processing pipeline keeps the original image’s brightness channel and applies predicted color over it.checked 8 Oct 2026
Privacy
Images are sent over HTTPS to its servers and Replicate, then automatically deleted within 7 days and not sold, shared, or used to train models.checked 8 Oct 2026
Purpose
The AI colorizer predicts plausible colors for black-and-white family photos, scans, and archive prints.checked 8 Oct 2026
Speed
The site says colorization typically takes about 20 seconds, with cold starts sometimes taking up to a minute.checked 8 Oct 2026
Support
The maker’s contact page says it typically responds within 24–48 business hours.checked 8 Oct 2026
Upload formats
It accepts JPEG, PNG, WebP, or GIF files up to 7.5MB and also supports pasting an image or image URL.checked 8 Oct 2026

The company

Maker
The About page says MergeImages is built and maintained by Bello M. Amadou.checked 8 Oct 2026

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