![]() ![]() It is at version 2 right now, that is the version I tested for this episode. What is DeNoise AI?ĭeNoise AI is software you run on a desktop computer that uses artificial intelligence (AI) to remove noise from images. I didn’t let Topaz Labs know that I was doing this review and they have not influenced my testing or the information here. I bought DeNoise AI licensing as a normal consumer directly from the Topaz Labs website. Like many of you I saw a lot of marketing ads for DeNoise AI and as a photographer who does a lot of sports I decided I needed to investigate DeNoise AI to see if I could create better low-light images. The DeNoise AI software was not given to me for free or in exchange for creating this content. I want to thank for helping to make this episode possible. If you have been afraid of Photoshop this is the solution! Head over to and use coupon code phototaco20 to get 20%. Priced at $99.95 per year, the annual subscription is an absolute steal and listeners of Photo Taco get an even better deal with 20% off that first year by using coupon code phototaco20 at checkout. Included in a year’s subscription to is instant access to over 150 in-depth video tutorials and they are not done there because they are releasing two new PRO tutorials every month. Aaron knows it, he knows how to teach it, and make it fun! ![]() It doesn’t matter the topic retouching, coloring, compositing, or using camera raw for editing your photos. ![]() I have rubbed shoulders with a lot of people who know Photoshop really well but they usually don’t know how to teach others very well. A huge portion of what I know about Photoshop has come from video training over at .Īaron is truly a Photoshop master, but even more important, he is a really good teacher. Aaron has forgotten more Photoshop than I have ever learned. Phlearn – When Phlearn reached out I was really excited because my friend Aaron Nace and the folks over at produce video training for Photoshop that I can’t recommend strongly enough. Here's a short video showing the new features of the Comparison View.This site is a participant in the Amazon Services LLC Associates and Adorama Affiliate programs. That involves sending a TIFF copy to DeNoise AI and use the improved Comparison View to choose the best model and settings. If the edited RAW file isn't affected by excessive noise, I'll follow my typical workflow of using Lightroom's "Edit in DeNoise AI" option. The next step is to sync the edits I made to the original RAW file to the DNG file and apply tweaks to match them up. I will then apply the RAW model, save the file, and import the newly created DNG output file back in Lightroom. If the photo suffers from excessive noise, I'll create a virtual copy or a new snapshot and send the unedited RAW file to DeNoise AI. Once I am close to wrapping up the edit, I'll take a close look to see how much noise is affecting the photo. My workflow involves editing my "Pick" RAW files using Adobe Lightroom Classic first. Not every RAW photo needs to be sent to DeNoise AI at the beginning of your post-processing workflow. The real question worth asking is IF you should use the RAW model, and the answer is a bit more nuanced. That's when to use the RAW model, and you have to use supported RAW files. Fortunately, the answer is straightforward: you should use the RAW model at the very beginning of your post-processing workflow. I spent a lot of time reviewing all of the comments left on our DeNoise AI v3.3 update post and our social media channels, and one of the most common themes-and source of confusion-has to do with when to use the RAW model. I recommend reading this article to learn more about how and why we built the RAW model. Both of these file types are classified as compressed RGB files, and while DeNoise AI can do great things with them, there is so much more that we can do when we source the original RAW data. This workflow requires your DAM first to create a duplicate file, often a JPEG or TIFF. We've also loved seeing the noise-reduced photos you've shared with us online! We built the RAW model to deliver the cleanest possible noise reduction by changing the data we analyze.Typically, you'd import your RAW files into your digital asset manager (DAM), go through a curation process, edit your picks, and then send the noisier ones to DeNoise AI. We've been thrilled with all the positive (and constructive) feedback on the new RAW model recently introduced in DeNoise AI v3.3. ![]()
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