Topaz Gigapixel

Topaz Labs' desktop AI upscaler, subscription-only and now owned by Adobe

Image Generation Subscription Has API
Researched · Published · Reviewed
RECATOOLS Score
8.2 / 10
Capability
9.2
Value for money
7
Ease of use
8.5
ASEAN readiness
6.5
API quality
7.8
Founded
2018
HQ
Dallas, Texas, USA
Users
1.5 million+ customers; 2 billion+ images processed
Launched
2018 (Gigapixel AI); Topaz Labs founded 2005
Developer
Topaz Labs

Overview

Topaz Gigapixel is Topaz Labs' AI image upscaler for Mac and Windows, with twelve models for photos, faces, text, artwork and badly degraded images, unlimited local and cloud rendering, and plugins for Photoshop and Lightroom Classic. It has been subscription-only since October 2025, and Topaz Labs became part of Adobe in September 2026.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Pro
$499/year
Or $54/month for 12 months
  • Everything in Personal
  • Local access to Wonder 1
  • Seat management
  • 4 concurrent cloud images
  • Full commercial use
Topaz Studio
$399/year
Or $37/month for 12 months, or $69 month to month
  • Topaz Video, Photo, Gigapixel, Mobile and Web
  • Unlimited local and cloud image rendering
  • 300 monthly cloud video credits, no rollover
  • Commercial use only for organisations under $1M annual revenue

Use cases

Enlarging low-resolution archival and historical photographs for print or digital restoration Upscaling product images for e-commerce to meet marketplace resolution requirements Enhancing drone and satellite imagery for geospatial analysis or publication Preparing film stills and legacy footage screenshots for high-resolution display Batch processing large photography libraries via CLI or API for studio and agency workflows

What you can produce with Topaz Gigapixel

  • Photos and artwork enlarged by up to 6x, to as much as 32,000 pixels on the longest side
  • Portraits with facial detail restored by the Face Recovery model
  • Low-resolution or damaged images rebuilt by the generative Wonder and Redefine models
  • Batch upscales with models picked automatically per image by Auto mode
  • Upscaled layers returned straight into Photoshop or Lightroom Classic through plugins
  • Unlimited processing on your own computer, with files kept local, or in Topaz's cloud
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ASEAN Perspective

Topaz Gigapixel in Southeast Asia

Topaz Gigapixel has no ASEAN-specific pricing tier, local data residency option, or Southeast Asian language localisation, and its subscription-first pricing (from $149/yr) is expensive relative to regional purchasing power. The hardware requirements — particularly the 8 GB+ VRAM needed for newer generative models — are a barrier on mid-range machines common across the region. That said, the product's offline-first, privacy-preserving local processing is a genuine advantage in markets with data sovereignty concerns, and its Lightroom/Photoshop plugin works seamlessly for ASEAN studio and e-commerce photographers who already use the Adobe ecosystem. The developer API is globally accessible and well-documented, making it viable for APAC-based SaaS builders who need upscaling as a service.

RECATOOLS Verdict

Gigapixel is a mature, specialist upscaler: a broad set of models chosen per image or by Auto mode, batch processing, unlimited rendering on your own GPU or in Topaz's cloud, and plugins that slot into Photoshop and Lightroom Classic. For photographers enlarging prints or rescuing old scans, the output is the reason to pay.

The costs are recurring. Perpetual licences ended in October 2025, Personal limits commercial use to organisations under $1 million in revenue, and Adobe's ownership since September 2026 adds roadmap uncertainty despite its standalone promise. Worth it for regular professional use; occasional users should price the subscription carefully.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Topaz Gigapixel is the image upscaler from Topaz Labs, the Dallas company Adobe agreed to buy on 25 June 2026 and finished acquiring on 23 September 2026. Adobe's completion notice says the Topaz brand stays, its apps remain on sale as standalone products and chief executive Eric Yang joins Adobe's Digital Video and Audio team; the June announcement singled out Topaz's Neurostream technology for running large models on ordinary computers. RECATOOLS lists the company separately as Topaz Labs; this page covers the upscaler.

The product began as A.I. Gigapixel, which ProVideo Coalition reported was introduced in August 2018, though Topaz's own page now says 2019. The current app offers twelve models: Standard, Standard Max, High Fidelity, Low Res, Text & Shapes, Art & CG, Recover, Redefine, Face Recovery and the generative Wonder 2 and 3, with Wonder 1 available in the cloud. The documentation sets the scale factor at up to 6x and the largest output at 32,000 pixels on the longest side. Rendering is unlimited both on your own machine and in Topaz's cloud, and the app works standalone or as a plugin for Photoshop, capped at 30,000 pixels, and Lightroom Classic, where cloud rendering is unavailable.

It is now subscription-only. Topaz stopped selling perpetual licences on 3 October 2025, CG Channel reported, although existing owners keep theirs. Personal costs $149 a year, $19 a month on a 12-month commitment or $29 month to month, and permits commercial use only for organisations under $1 million in annual revenue. Pro costs $499 a year or $54 a month on commitment and adds full commercial use, seat management, local Wonder 1 and four simultaneous cloud jobs instead of two. Topaz Studio bundles every Topaz app for $399 a year. Refunds are offered within two days.

Output quality remains the reason photographers buy it. The open questions are cost, for those used to paying once, and how Adobe folds these models into Firefly and Photoshop. Large upscales also need 24GB of RAM.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • Topaz Labs was founded in Albert Yang's guest bedroom in Texas — he jokingly noted the garage was 'too hot in Texas'.
  • The company has processed over 2 billion images for 1.5 million customers and reached $48 million in annual revenue without taking any venture capital.
  • Project Starlight — the model architecture introduced in the May 2026 Expansion Release — was the first fundamental change to Gigapixel's underlying AI since 2018, eight years after the original launch.
  • Enterprise clients include Nike, Google, Netflix, Coca-Cola, NVIDIA, and Tesla, all using Topaz tools for visual quality enhancement.

Frequently asked questions

Perpetual licences are no longer sold as of October 2025. Topaz Labs moved to subscription-only plans: Personal at $149/year and Pro at $499/year. Legacy perpetual licence holders retain access to the version they purchased.
Yes. Topaz Labs offers a self-serve credit-based API at developer.topazlabs.com. The Developer tier costs $50/month for 500 credits (one credit = up to 24 MP output). An Enterprise tier with on-premise deployment is also available.
The May 2026 release introduced three new models — Wonder 2, Wonder 3, and High Fidelity 3 — as part of Project Starlight, the first fundamental change to Topaz Labs' model architecture since 2018. CEO Eric Yang called it 'the largest fundamental improvement in model quality in years.'

About this listing

Researched on
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This entry was compiled from publicly available data including Topaz Gigapixel's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Topaz Gigapixel unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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