Updated Nov 8, 2026· 7 min read

Key takeaways

  • Hardware: Local AI upscaling is GPU-intensive. Check each maker’s system requirements and whether Apple Silicon or your graphics card is supported.
  • File formats: Confirm raw, TIFF and JPEG support, plus whether the software preserves color profiles and metadata.
  • Plugin or standalone: If you work inside Photoshop or Lightroom, check the plugin list.
  • Batch processing: Useful for large libraries; check whether it is included.
  • Output size: Large enlargements create huge files. Make sure you have storage space and that your printer can use the resolution.

For most photographers, Topaz Photo (the maker’s current upscaling product line, formerly Gigapixel) is the strongest dedicated upscaler, Adobe Photoshop and Lightroom’s built-in Super Resolution and Enhance tools are the convenient choice if you already subscribe, and Upscayl is the free, open-source option for casual use. The right pick depends on how much detail recovery you need, how you handle faces and fine texture, and whether you accept a subscription.

What AI upscaling does and does not do

AI upscalers enlarge an image by predicting plausible detail, rather than simply stretching pixels. Results can be impressive on soft, low-resolution or compressed photos, but the software is inventing detail, not recovering it. Reviewers consistently warn about artifacts: plastic-looking skin, odd textures, warped text and altered faces. For anything important, such as archival photos or evidence, compare the result with the original and keep the source file.

At a glance

Software Best for Key stated features Limits
Topaz Photo / Gigapixel line Photographers wanting the most control over detail, faces and noise Maker lists multiple AI models, face recovery and large upscale factors; runs as standalone or plugin Premium tier; needs a capable GPU for speed
Adobe Photoshop Super Resolution and Neural Filters Existing Adobe subscribers Adobe lists Super Resolution in Camera Raw and Lightroom, doubling linear resolution Subscription; fixed scale options
Upscayl Free, casual enlarging Open-source desktop app with selectable AI models Fewer controls; results vary by model
Let’s Enhance and similar web services Quick one-off enlargements without installing software Cloud-based upscaling with credits or subscription Upload required; privacy and credit limits
ON1 Resize AI Large prints from raw files Maker lists AI-based resizing for print workflows Less specialized for restoration

Topaz: the dedicated specialist

Topaz Labs built its reputation on Gigapixel and has since consolidated its photo tools into a broader Photo product. The maker lists several AI models tuned for different kinds of source image, face recovery, and large enlargement factors. Reviewers generally find its results the most convincing on low-resolution and compressed images, and it works either standalone or as a plugin inside Photoshop and Lightroom. Costs sit at the premium tier, licensing terms have changed over the years, and processing is faster with a modern graphics card. If you enlarge photos often for large prints or restoration, this is the focused option.

Adobe: convenient if you already subscribe

Adobe’s Super Resolution, found in Camera Raw and Lightroom, uses machine learning to double the linear resolution of an image, which Adobe describes as quadrupling the pixel count. It is quick, integrated into a raw workflow, and good for moderate enlargements. Reviewers note it is less flexible than dedicated tools, with limited control over faces and texture, but for photographers who already pay for the Adobe subscription it is the easiest way to get more pixels without leaving the editor.

Upscayl: free and straightforward

Upscayl is an open-source desktop app that applies selectable AI models to images. It is a solid choice for casual enlargements, social graphics or experiments, and costs nothing. The trade-off is fewer controls, less polish and results that vary with the model chosen. As with any open-source tool, download it only from the project’s official page.

Online services

Web-based upscalers such as Let’s Enhance are convenient because there is nothing to install and no GPU requirement. They typically work on credits or subscriptions. Remember that you are uploading your photos to a third party, so read the service’s privacy terms before sending personal or client images.

Fit and compatibility notes

  • Hardware: Local AI upscaling is GPU-intensive. Check each maker’s system requirements and whether Apple Silicon or your graphics card is supported.
  • File formats: Confirm raw, TIFF and JPEG support, plus whether the software preserves color profiles and metadata.
  • Plugin or standalone: If you work inside Photoshop or Lightroom, check the plugin list.
  • Batch processing: Useful for large libraries; check whether it is included.
  • Output size: Large enlargements create huge files. Make sure you have storage space and that your printer can use the resolution.

Tips for better results

  • Start from the best source file you have: raw or the least-compressed copy.
  • Upscale in moderate steps rather than one huge jump, and compare the result at full size.
  • Reduce noise first if the source is grainy, then upscale.
  • Check faces, text and repeated patterns for artifacts, which are the most common problem areas.
  • Keep the original. Upscaled files are interpretations, not restorations.

Budget tiers

  • Free and budget: Upscayl and lower-cost web services for casual use.
  • Mid-range: ON1 Resize AI and credit-based web services for occasional print work.
  • Premium: Topaz Photo and the Adobe subscription, for regular, professional-level enlargement.

Pick X if

Pick If you
Topaz Photo / Gigapixel enlarge or restore photos often and want maximum control
Adobe Super Resolution already use Lightroom or Camera Raw and need moderate enlargements
Upscayl want a free tool and can accept fewer controls
Web upscaler need a quick one-off result without installing anything
ON1 Resize AI make large prints and prefer a resizing-focused tool

Alternatives

  • Affinity Photo and GIMP resampling: Traditional methods such as bicubic or Lanczos are free or low cost and produce no invented detail.
  • Print-lab upscaling: Some print services apply their own enlargement algorithms for large formats.
  • Reshooting or rescanning: When possible, capturing at higher resolution beats any upscaler.

Choosing by workflow

Restoring old or scanned photos

Old prints and low-resolution scans benefit most from AI models trained on faces and fine texture. Topaz lists face recovery features, and several web services advertise similar options. Always compare against the scan, because restoration can change expressions or details in ways that matter for family archives. Keep the unaltered scan alongside the enlarged version, and label which is which.

Preparing photos for large prints

For wall prints, the question is not only the pixel count but the viewing distance. Large prints are normally viewed from further away, so moderate enlargements often look fine. Ask your print provider for the recommended resolution at the intended size, and check proofs for artifacts such as smeared texture in skies or repeating patterns in foliage.

Cropping wildlife and sports shots

Heavy crops from telephoto photos are a common use. AI upscaling can make the cropped area usable for sharing online, but feather and fur textures may look artificial when pushed too far. Start with sharpening and noise reduction at the raw stage, then enlarge only as needed.

Graphics, screenshots and illustrations

Line art and text can behave differently from photographs. Some tools offer models for graphics, and Upscayl includes model choices aimed at illustrations. Check any text carefully, since AI can warp letters.

Licensing and privacy

Review each tool license terms, especially for commercial work, and confirm how uploaded images are stored when using a cloud service. If you work with client or personal photos, a local application keeps files on your own machine. Download software only from the maker official page to avoid tampered installers.

Common mistakes to avoid

  • Upscaling a heavily compressed JPEG without cleaning it first, which enlarges compression blocks.
  • Pushing the enlargement factor as high as it will go instead of choosing the size you actually need.
  • Trusting faces and text without checking them against the original.
  • Overwriting the original file instead of saving the enlarged copy separately.
  • Applying heavy sharpening after upscaling, which can exaggerate artificial texture.
  • Uploading private photos to a service without reading how it stores them.

A calm, conservative approach, with side-by-side comparison at full size, produces more natural results than relying on default settings.

Frequently Asked Questions

Can AI really add detail that was never captured?

It generates plausible detail based on patterns learned from other images. It can look convincing, but it is not true recovery, so details such as faces or text may be inaccurate.

How big can I enlarge a photo?

Makers list large factors, but quality drops as the factor rises and the source gets weaker. Moderate enlargements from clean sources give the most believable results.

Is free software good enough?

For casual use, yes. Upscayl can produce good results on many images, while paid tools typically offer more models, controls and workflow integration.

Do I need a powerful computer?

Local tools run faster with a modern GPU. Older machines still work but may be slow, and web services shift the processing to the cloud.

Is it safe to upload photos to online upscalers?

Review the service’s privacy policy and how long files are stored. For sensitive or client work, a local tool is the more conservative option.

Should I upscale before printing?

It can help for large prints from lower-resolution files. Ask your print provider about their recommended resolution and whether they apply their own enlargement.

T
TechVentureSpot Editorial Team
We compare specs, materials and verified owner reviews before a product earns a spot. Rankings are never paid.
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