Topaz Photo
AI desktop app and plugin for sharpening, denoising and upscaling photos
- Tool type
- AI photo enhancement app
- Made for
- Photographers and photo restorers
- Runs on
- Mac and Windows desktop
- Standalone app or editor plugin
What it does
Topaz Photo takes in photographs, including noisy, soft, low-light or low-resolution shots and scanned archival images, and returns enhanced versions. Its tools cover denoising, sharpening, upscaling, face recovery, lighting and colour adjustment, dust and scratch removal, text preservation and a healing brush. An autopilot option suggests a starting point.
Photographers use it as a final step before delivery, either as a standalone desktop app or as a plugin for Photoshop, Lightroom Classic, Capture One and Apple Photos. Affinity Photo is supported through a manual install. Rendering can run locally, so files stay on your computer, or in the cloud to reduce hardware load. Topaz positions it for on-location work such as wildlife, sports, events and weddings, and for restoring old images.
It suits photographers and restorers who want focused enhancement rather than a full editor. It runs on Mac and Windows and requires a paid subscription. Individual plans cover commercial use for entities under $1M USD annual revenue, while larger organisations need Pro. One reviewer notes it lacks some tools found in Lightroom or Photoshop. It is not a replacement for a complete editing suite.
What it can do
- Denoise and sharpen noisy or soft images
- Upscale images with Wonder and Standard Max models
- Recover faces and preserve text
- Adjust lighting and balance colour
- Remove dust and scratches and heal blemishes
- Run rendering locally or in the cloud
Works with
- Photoshop
- Lightroom Classic
- Capture One
- Apple Photos
- Affinity Photo (manual install)
Example workflows
- Rescue a high-ISO event photo
- Input: a dim, noisy wedding or event photo. Steps: open it in Topaz Photo from Lightroom Classic, apply denoise, sharpen and lighting tools, then return it to the catalog. Output: a cleaner, sharper version of the same image.
- Restore an archival scan
- Input: a scanned print with dust and scratches. Steps: open it in the standalone app, run Dust and Scratch, adjust lighting and colour, then upscale for print. Output: a restored, higher-resolution image file.
Before you choose
- Individual plans cover commercial use only under $1M USD annual revenue; larger organisations need Pro
- Local rendering keeps files on your machine, while cloud rendering sends images to Topaz servers
- Plugin support for Affinity Photo requires manual installation
Listed under
Get started
Downloads page offers the installer
- Choose a plan on the pricing page and subscribe
- Download and install the desktop app from the downloads page
- Open it standalone or launch it as a plugin from your editor
Plans and prices
Prices in USDIndividual, Pro and Studio bundle terms differ. Confirm the billing commitment, commercial-use eligibility and included cloud rendering before subscribing; a monthly equivalent may require an annual commitment.
- Unlimited local and cloud image rendering
- 1 seat, 1 cloud render at a time
- Full commercial use, seat management
- 4 simultaneous cloud renders
- All apps including Photo, Gigapixel, Video
- 300 monthly cloud video credits
Source: docs.topazlabs.com/sales-account-licensing/before-you-buy/app-and-collection-options, checked 29 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Topaz Photo - Sharpen, Denoise, Unblur & Enhance Images & Photos ↗www.topazlabs.com
- Product Pricing ↗www.topazlabs.com
- App & Collection Options | Account & Sales ↗docs.topazlabs.com
- Home | Topaz Labs Docs ↗docs.topazlabs.com
Ratings and reviews
No ratings for Topaz Photo yet.
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How we research- Company website
- topazlabs.com: product, pricing and policy pages
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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.