Colorize Images 4.1.5

Colorize Images – Freeware – Android iOS
out of 19045 votes

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Rediscover Color with Colorize Images!
Transform your black and white, grayscale, or night vision photos into vibrant color moments using advanced Machine Learning. Experience the magic of automatic colorization and let Colorize Images bring new life to your old memories.
Simple, Intuitive, and Efficient:
Select a photo from your gallery or share it from other applications such as Facebook, Twitter, Chrome, or Google Photos. With just a tap, our AI gets to work, utilizing GPU servers for fast and efficient colorization without compromising your device's performance. Easily share your colorized memories on social media or save them to your gallery.
Powered by Cutting-Edge Technology:
Built upon the renowned DeOldify project, our app offers multiple machine learning models to ensure the best colorization results. While our AI strives for accuracy, please note that colors may not always reflect historical accuracy due to the nature of black and white images.
Global Reach with Multilingual Support:
Whether you speak English, Finnish, or any other language, Colorize Images is designed to cater to a global audience ready to rediscover the colors of the past.
Flexible Pricing for Everyone:
Unlock free colorizations by watching Ads or choose our subscription plans starting at just $1.50 per month for unlimited colorizations. Need short-term access? Get 8-hour access for only $0.25!
Your Privacy is Our Priority:
Our service prioritizes your privacy. Photos are stored for only 24 hours and can be instantly removed using our 'Quick Removal' feature. As GPU servers process the colorization, images are temporarily sent to a remote location over the network and then sent back to your device.
We Value Your Feedback:
Encountered an issue or have a suggestion? Utilize the 'Report Bug' feature within the app or reach out to us directly. Your input helps us continually improve to enhance your experience.
To achieve the best results, it is recommended that the source image has good quality, contrast, focus, and correct orientation. Some preprocessing steps like contrast correction or sharpening usually enhance the final result.

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