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9.2 Expert Score
Palette.fm is a web-based tool that uses artificial intelligence (AI) to colorize black-and-white images. With this software, you get to turn old photos into full-color masterpieces in no time.
Pros
14 days money back guarantee Offer a free version All the images are encrypted Cons
For iPhone & iPad, only Safari browser is supported Sometimes download errors occur
Are you looking for a reliable & fast photo colorization web app that delivers highly realistic results without having to put in too much effort?
If so, then you should undoubtedly check out Palette.fm. This image optimization software offers everything that you need to create vibrant and detailed digital art, such as increased speed, bulk colorization, an API, and video colorization.
But is this colorization tool right for you to use? In this review article, we will take an in-depth look at what Palette.fm is and what are the pros & cons of using it. We will also show you what impressive features it offers that make it the best tool for turning black-and-white photos into color. So read on to learn everything that you need to know about this ideal colorizing software!
Click on “open” if you want to see exactly what we will talk about in the rest of this article.
Overview
What is Palette.fm?
Palette.fm is an ideal photo colorization app that is only built on the idea of automated creative expression. This photo colorization web app uses artificial intelligence (AI) and advanced algorithm to transform black and white photos into stunning, vibrant colors.
The app allows users to fine-tune their results by adding a text prompt or selecting an alternative color palette. With this, you can add details, lighting conditions, and skin tones to any black and white photo to make it look like a work of art. The photo colorization process requires only a few simple steps to complete.
All you need to do is upload the old black and white image, and Palette.fm will take care of the rest. The AI-driven platform can accurately identify what needs to be colored in the image or illustration and will apply the right color palette automatically.
It also offers up to 20 different alternative color palettes for you to choose from, allowing you to customize the results even more. And with machine learning, the app can get better at colorizing photos over time. The app also offers some unique features, like a caption generator that can describe what’s in the photo, as well as a color-matching tool that can help you find the perfect shade of your desired color.
Plus, it also offers API integration with other image-editing tools. The thing that makes Palette.fm stand out from its competitors is its privacy policy; the platform does not store any of your personal black and white pictures, thus ensuring that all your photos are safe and secure.
Whether you are a professional photographer, a hobbyist, or just someone who loves to capture special memories with photos, Palette.fm is the perfect tool for you. With its intuitive tools and powerful features, you can bring any black and white photo to life in a matter of minutes.
Palette.fm specifications Features Best suited for Individuals, Freelancers, Small businesses Website languages Website URL Visit official website Support link Support page Live chat Company address Year founded
Pricing
Palette.fm pricing: How much does Palette.fm cost?
Palette.fm offers three different pricing plans that you can pick from based on your specific needs & budget. The first one is a free plan which costs $0. Another is the subscribe plan which costs $0.20 per HD image. The final is a pay-as-you-go plan which costs $0.65 per HD image. Note: each credit allows users to download only one high-resolution (HD) colorization.
Pricing range Pricing types Quote based Free plan Yes Free trial No Money back guarantee Pricing page link See plans
Free Plan ($0):
Unlimited free colorizations
Max 500x500px size
1 Free HD Credit
Subscribe Plan ($0.20 PER HD IMAGE):
Unlimited free colorizations
Max 500x500px size
No watermarks
Commercial licensing
20+ Filters
Pay-As-You-Go Plan ($0.65 PER HD IMAGE O-T-P):
All features in the free & subscribe plan
Unlimited free colorizations
Max 500x500px size
No watermarks
Commercial licensing
20+ Filters
Features
Palette.fm features: What can you do with it?
Increased Speed Palette.fm is not only made to provide realistic results but it is also designed to offer faster results. It uses advanced algorithms to speed up the colorization process, which gives users the advantage of quickly converting their black and white photos into color. This helps users gain more control over the colorization process and achieve faster results than manual editing.
With Palette.fm, users can easily change the hue, saturation, and brightness of their photos to get the exact effect they want. This enables them to create unique visuals in a fraction of the time it took before. Whether you are in the United States or any other country, you can now convert your photos in just a few clicks without the need for expensive editing software.
API Access Application Programming Interface (API) is another key element of Palette.fm. The API enables users to better utilize the platform’s various functionalities, such as batch processing and applying alternative color palettes. With API integration, developers can also connect their apps with Palette.fm image-editing tools without having to manually program the entire process.
This opens up the possibility of creating custom apps and software that can easily access the photo colorization platform. Thanks to API integration, users are able to fully maximize the potential of Palette.fm and take their creative projects to the next level. For those who are looking to create beautiful and interactive digital experiences, Palette. fm’s API access is a great solution.
Bulk Colorization When it comes to colorizing large batches of photos, not every tool will do. Palette.fm takes the hassle out of colorizing large batches of photos with its bulk colorization feature. With merely a few clicks, you can upload a folder of photos and have them automatically colorized in no time.
You can also adjust and customize each photo to get the exact look you’re going for. Once you’re done, you can save your settings so that you can reuse them for future projects. With Palette. fm’s bulk colorization feature, it’s never been easier to create stunning visuals with multiple photos.
Conclusion
Palette.fm review: Why you should use it?
Palette.fm is one of the most impressive & innovative tools for colorizing photos that offers everything that you need to bring your memories to life. With its wide range of features, you can easily colorize and improve the quality of your black & white pictures without any hassle.
With this artificial intelligence (AI) colorization app, you can make your photos come to life with beautiful and vibrant colors that you never thought were possible. It’s a great way to get creative and experiment with your photos, letting you bring out the beauty in every image you take.
FAQ
Frequently Asked Questions
Is Palette.fm a scam or legit?
Palette.fm is a legitimate tool, so you can trust that your images will be colorized properly. It is used by millions of individuals worldwide and has become a trusted tool for colorizing photos.
Palette.fm Review – Colorize Pictures with AI
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