DeepSNR
DeepSNR: A free, local denoiser for astrophotography with CLI automation and editing integrations. Ranked #17 of 29 in Photo Noise Reduction Software by our editors (6.6/10); pricing: Free plan; best for free astronomy denoise with automation hooks.
At a glance
- Editor score6.6 / 10
- PricingFree plan
- Best forFree astronomy denoise with automation hooks
- Free planYes
- Paid fromFree
- AI denoisingYes
- Facts checked21 Oct 2026
Where it wins
- Processes TIFF, PNG and supported FITS files locally
- Offers command-line automation plus PixInsight and Photoshop modules
- Model 2 supports RGB/color and grayscale images
Where it doesn't
- Focused on astrophotography rather than general photo editing
- Camera RAW input is not documented
- Batch processing is not documented
Our verdict on DeepSNR
DeepSNR is StarNet Software’s local AI noise-reduction tool for astrophotography, suited to solo imagers and small workflows that process astronomical images. It runs on Windows, macOS and Linux, and is distributed as standalone command-line packages as well as modules for PixInsight and Adobe Photoshop. Model 2 supports both RGB/color and grayscale images, while the vendor provides guidance for calibrated astronomical data and narrowband combinations. Its focus is clear: this is a specialized denoising tool, not a broad photo-editing suite.
The strongest fit is for astronomy workflows that benefit from local file processing and automation. Command-line builds accept TIFF, PNG and supported FITS files and can be integrated with other image-processing software. Linear FITS processing includes automatic stretch options, and the PixInsight module connects it to an astronomy-oriented editing environment; a Photoshop plugin is also available. Windows packages support DirectML acceleration with CPU fallback. These options give users several ways to place denoising in a workflow without relying solely on a standalone graphical tool.
The vendor states that DeepSNR is free, and the product details describe no paid tiers. Its narrow format and workflow focus is also the main boundary: camera RAW input and batch processing are not documented. Choose DeepSNR if local AI denoising for astrophotography, FITS handling, command-line automation or the listed editing integrations matter most. A photographer seeking general-purpose noise reduction across camera RAW files or a documented batch workflow should consider a broader alternative instead.
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DeepSNR pricing
DeepSNR fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| RAW file support | Not verified |
| AI denoising | Yes |
| Batch processing | Not verified |
| Plugin support | Yes |
| Desktop platforms | Both |
| Processing mode | Local |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Built for | Solo, Small business (editorial estimate) |
| Integrations | 2 integrations: PixInsight, Adobe Photoshop |
| Pricing | Free plan |
| Website | starnetastro.com |
| Facts checked | 21 Oct 2026 |
DeepSNR integrations
DeepSNR lists 2 integrations on its own site.
- PixInsight
- Adobe Photoshop
Alternatives to DeepSNR
- Topaz PhotoAI denoise and broad retouching for editors working in desktop photo workflows.8.8
- Nik DfineA selective, profile-driven denoiser for established desktop editing workflows.8.6
- ON1 NoNoise AIA capable one-time AI denoiser with broad plugin support and desktop-only delivery.8.4
See all DeepSNR alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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