Coming this Spring

Photolemur v.2.3

2x times faster. New image processing engine.

Edit any volume of photos Automagically
with Artificial Intelligence.

Photo Enhancement on Autopilot

Photo Editing Reinvented.

New version of Photolemur is powered by PerfectEye - proprietary AI-powered image processing engine.

The technology was tested and tuned on 120,000 images by 65 photographers of all kinds. The previous technology worked incredibly well with RAW images. The new technology is tuned to work well with JPEG images.

And the RAW processing has become 2.5x times faster.

Learn more

Join the Photolemur Beta Testing Program
and win amazing prizes!

Photo Enhancement on Autopilot 1
Main winner will get
DJI Mavic Pro
Photo Enhancement on Autopilot 10
10 winners will get
One-year National Geographic Magazine Subscription (Print+Digital edition)
Photo Enhancement on Autopilot 20
20 winners will get
Photolemur T-shirts
Coming this Spring


Supercharged Technology inspired by how the human eye sees reality.

The Core

AI-powered image processing engine inside the app provides the ability to improve 90% of all processed images. One of our goals was to avoid spoiling images by making them unrealistic. The artistic look of your finalized images is your personal choice. Our aim was to make all photos come out perfectly from your camera - the same way you saw the scene when you photographed it.


Proprietary RAW-processing technology now is 2.5x times faster. Export speed for all types of images is 3x times faster. It was hard to achieve but we managed a great improvement.


New engine works in different way with different types of images. New algorithm for JPEG images optimized for specific needs of this kind of images. JPEG images will become smoother, technology removes grain and JPEG artifacts from photos.

From Zero to Hero.

The power of artificial intelligence at your fingertips.

What is the Photolemur Beta Software Program?

We’re using the word ‘Beta’ to indicate that this is early access to an incomplete version of the new Photolemur app. You should expect that it won’t always work correctly and that it may change in certain ways.

We’re using the Beta phase to collect feedback on the new algorithms and a slider feature, and make changes to improve our photo enhancement tech in an effort to make things as intuitive and easy-to-use as possible.

As a member of the Photolemur Beta Software Program, you can take part in shaping Photolemur software by test-driving pre-release versions and letting us know what you think.

If you try out the Beta, please leave us feedback either on our Beta Feedback Page or email – your feedback is very important to help us remove the ‘Beta’ label from the app.


See all

What is the Photolemur Beta Software Program?

The Photolemur Beta Software Program lets users try out pre-release software. The feedback you provide on quality and usability helps us identify issues, fix them, and make the software even better. Please note that since the public beta software has not yet been commercially released by Photolemur, it may contain errors or inaccuracies and may not function as well as commercially released software.

How do I get the public betas?

As a member of the Photolemur Beta Software Program, you'll get the Public url to download the Beta software from our servers and a license key available for activation to the Beta. You’ll receive all the information in your inbox from our support team.

How do I provide my feedback to Photolemur?

When you experience an issue or something does not work as expected, send your feedback directly to the Photolemur support team by using the Beta Feedback Page or emailing

Who can participate?

The Photolemur Beta Software Program is open to anyone who get subscribed to the Beta Program on the page with a valid email.

Do I have to pay a fee to join the program or pay for software?

No. Both the program and software are free.

What kind of compensation do I receive for testing?

This program is voluntary, and there is no compensation for your participation. But nevertheless, to those Beta testers who’ll contribute 5+ image examples with bad processing result for improving the algorithms, we’ll offer a reward.

Coming this Spring
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