The Best Noise Reduction Software in 2021?

Comparing the Best Noise Reduction Software

Noise reduction always trades detail for smoothness, and different programs make that trade very differently. This comparison runs the same noisy sample photo through Photoshop’s built-in filter, Lightroom Classic, Luminar, Topaz Labs, DxO, and the online AI tool Vance AI, to see which actually holds onto real detail instead of just smoothing everything into mush.

Preparing Your Image as a Smart Object

Before running any noise reduction filter in Photoshop, converting the layer first keeps the adjustment editable.

1. Convert Your Layer to a Smart Object

   Right-click your image layer and choose Convert to Smart Object, so the noise reduction filter that follows can be readjusted later as a Smart Filter.

Reducing Noise in Photoshop

Photoshop’s built-in Reduce Noise filter has several sliders that all trade detail for smoothness in slightly different ways.

2. Open Reduce Noise

   Go to Filter > Noise > Reduce Noise and zoom in to check the effect at 100%.

3. Keep Most Sliders Low

   Raise Strength to do the work (in the video it ends at 10), and set Preserve Details, Reduce Color Noise, and Sharpen Details to 0. Raising Preserve Details and Reduce Color Noise takes the image right back toward the noisy original, and raising Sharpen Details can look worse than the original.

4. Uncheck Remove JPEG Artifact

   Leave Remove JPEG Artifact unchecked, since it does little for actual noise reduction on a typical photo.

Why Pushing Every Slider Up Doesn’t Help

It’s tempting to max out every slider expecting a cleaner result, but Preserve Details and Sharpen Details actually work against Strength — raising them starts reintroducing the very noise the Strength slider just smoothed away. Keeping most sliders near zero and relying mainly on Strength, checked at 100% zoom, produces a more genuinely useful result than cranking every option at once.

Reducing Noise in Lightroom Classic

Lightroom’s noise reduction lives in the same panel most people are already using to edit their raw files.

5. Open the Detail Panel

   In the Develop module, open the Detail panel and find the Noise Reduction section.

6. Raise the Luminance Slider

   Drag the Luminance slider all the way to the right, checking the result zoomed in. That leaves some odd artifacts, so bring the Detail slider down a little, then adjust Contrast; this gives you a bit more control than Photoshop. Press the \ key to compare before and after.

Reducing Noise with Luminar

Luminar’s noise reduction sits somewhere between Lightroom’s and Photoshop’s results in terms of how much detail it preserves.

7. Apply Luminar’s Noise Reduction

   Open your image in the standalone Luminar AI program and go to the Denoise tool, which doesn’t have AI built into it. Bring Luminosity Denoise all the way up, set Color Denoise to 100 as well, and add Boost. It does a pretty good job, but some noise remains around the subject and in the hair.

Reducing Noise with Topaz Labs

Topaz Labs is a dedicated third-party noise reduction program, tested here as a trial (which adds a watermark to the exported result — a paid license removes it).

8. Run Your Photo Through Topaz Labs

   Open the sample photo in Topaz Labs DeNoise AI and look through the AI models on the right. Clear looks a little muddy here, so choose Severe Noise. With Remove Noise all the way up it rebuilds detail, but the ear starts to look like an oil painting, so switch on Auto and let the program find a middle ground.

Reducing Noise with DxO

DxO takes a heavier-handed approach that leans more on blurring than reconstructing detail.

9. Run Your Photo Through DxO

   Open the sample photo in DxO PhotoLab, find DxO Denoising Technologies and bring the Luminance slider all the way up. With a JPEG only the HQ mode is available; PRIME and DeepPRIME need native raw files and might do a better job.

Reducing Noise with Vance AI

Vance AI is a browser-based tool rather than installed software, and it takes a fundamentally different approach to noise reduction.

10. Upload Your Photo to Vance AI

    Visit Vance AI’s noise removal page and upload the sample photo; no software installation is required. Use the preview icon to compare before and after. It’s free for a couple of images (batch processing is paid), and downloading the result requires a free account.

How AI Reconstruction Differs from Ordinary Noise Reduction

Most of the tools here work by blurring or averaging noisy pixels together, which smooths the image but loses real detail in the process. Vance AI instead uses a model trained on a large number of reference photographs to actually reconstruct plausible texture and detail in noisy areas — rebuilding what a clean version of that texture would likely look like, rather than just smoothing the noise away. It’s a genuinely different technique, though it can still struggle on especially complex textures.

Comparing the Results Side by Side

With every tool applied to the same photo, viewing them together against the untouched original makes the differences clear.

11. Line Up the Original and Every Result

    Place the original noisy photo alongside each processed version, and zoom into a consistently detailed area — an ear, an eye, or fine texture — on every image to compare fairly.

12. Weigh Detail Retention Against Noise Removal

    Photoshop kept more fine detail but left more visible noise; Lightroom Classic removed more noise but lost more detail; Luminar landed roughly in between; Topaz Labs reconstructed detail convincingly with a natural look; DxO leaned on blurring and lost sharp edges; Vance AI rebuilt texture using its trained model, with a noticeably different, sometimes over-smoothed character in complex areas.

Which Software Actually Wins

On pure AI reconstruction Vance AI is the winner: it rebuilt part of the ear and recreated lines in the sweater. But the Topaz Labs result is a little more natural, so Topaz Labs DeNoise AI wins overall. Lightroom Classic remains the quickest, most convenient option for anyone already editing raw files there and not chasing maximum detail. DxO did an okay job, but its blurring around fine edges kept it from being the winner in this test.

13. Match the Tool to Your Priority

    Choose Topaz Labs or a similar dedicated tool when maximum detail retention matters most, Lightroom Classic when convenience and workflow speed matter more than squeezing out every bit of detail, and an AI reconstruction tool like Vance AI specifically for badly damaged or very noisy areas where some rebuilt texture is better than none.

Why the Winner Depends on What You Value

There’s no single objectively “best” noise reduction tool, because different tools make fundamentally different trade-offs between speed, detail retention, and how much they’re willing to invent new texture rather than preserve what’s actually there. The right choice depends on whether a photo needs quick cleanup, maximum fidelity to the original detail, or aggressive reconstruction of an especially damaged area.

Why This Comparison Matters

Every noise reduction tool is solving the same underlying problem — separating real detail from random noise — but each one draws that line differently, and that difference is exactly what a side-by-side comparison at full zoom reveals. Photoshop and Lightroom’s built-in tools work by blurring and averaging, which is fast and included with a Creative Cloud subscription but caps out at a certain level of detail retention. Dedicated tools like Topaz Labs invest more processing specifically in reconstructing detail rather than just smoothing it away, which is why they tend to outperform the built-in options on a genuinely noisy image. And AI reconstruction tools like Vance AI represent a different category entirely, rebuilding texture from a trained model rather than working only from the pixels already in the photo — a powerful approach for badly damaged detail, but one that can occasionally invent texture that wasn’t quite there.

Final Thoughts

No single piece of software wins at every kind of noise reduction, which is why it’s worth knowing what each one is actually good at rather than defaulting to whatever’s already installed. For most everyday raw editing, Lightroom Classic’s Luminance slider is fast and good enough. When a specific photo needs its detail preserved as faithfully as possible, a dedicated tool like Topaz Labs is worth the extra step. And for an especially noisy or damaged area where some reconstructed detail beats none at all, an AI-based tool is worth trying as a specialized fix rather than an everyday default.

Quick Reference: Keys, Menus and Settings

• PhotoshopRight-click > Convert to Smart Object; Filter > Noise > Reduce Noise: Strength 10, Preserve Details, Reduce Color Noise and Sharpen Details 0, Remove JPEG Artifact off
• Lightroom ClassicDevelop > Detail > Noise Reduction: Luminance all the way right, Detail down a little, then Contrast; \ for before and after
• Luminar AIDenoise: Luminosity Denoise and Color Denoise at 100, Boost on
• Topaz DeNoise AIAI Model: Severe Noise, then Auto on
• DxO PhotoLabDxO Denoising Technologies: HQ (PRIME needs raw), Luminance all the way up
• Vance AIUpload on the noise removal page, preview, download with a free account
• CompareStack every export as layers in one PSD and zoom in on the ear