Unfortunately ad-funded model did not work to keep the service free,
partially because of ad-blockers and mostly because of people building their
own colorization services on top of it to colorize hundreds of thousands of
photos without any help in funding (or even mentioning) this service.
The service costs are much higher than the revenue from the ads.
That is why I have to shut down the free colorization service.
The service is still available as Android app, and also
for the supporters of the web service (see the button below).
However, the scripted mass colorizations or any reproduction of
this service is prohibited without separate permission!
Colorize Images is an automatic Machine Learning based service to colorize black and white, grayscale or nightvision photos.
The black & white photo for the colorization can be selected from the gallery, or it can be shared from the other applications such as Facebook, Chrome or Google Photos. The colorful result image can be shared to the other applications, or saved into the gallery.
No watermarks nor any other additions are made to the images!
All the functionality of the Colorize Images application can be used for free for the first 10 colorizations. The use after the trial period requires watching an Ad or purchasing a subscription with monthly or yearly renewal, or access time with a single payment.
The monthly subscription rate is about $1.50 and yearly subscription rate about $10.00 depending on the local taxes etc. The 8 hour access time is about $1.00. The exact rates for your country/state are shown in the app. The active purchases allow unlimited number of colorizations.
The service uses network data and external GPU capacity to provide the colorization functionality. This means that the source images are sent to a remote location over the network, colorized there and the resulting images are then received from the remote location over the network.
For the best result, the source image is recommended to have:
and correct orientation
The images not having all these properties may work fine, but some preprocessing (like contrast correction or sharpening) usually improves the result.