Desktop AI suite for photo and video enhancement - upscaling, denoise, sharpening, frame interpolation and archival restoration.

Overview

Topaz Labs builds AI enhancement software for photographers, retouchers and video editors, and its defining choice is that the heavy work runs locally on your own hardware rather than in a credit-metered cloud. The lineup splits into focused apps: Gigapixel for upscaling stills up to 6x, Topaz Photo for denoise, sharpening, face recovery and dust removal, Topaz Video for deinterlacing, frame interpolation and 4K/8K upscaling, Bloom for generative editing, Mosaic for stitching, and Astra as a cloud pipeline for generative 4K video enhancement. Each app ships multiple purpose-built models - High Fidelity, Low Res, Text & Shapes, Art & CG, Redefine - so you pick the one that matches your source rather than accepting a single generic upscaler. This specialisation is why the suite shows up in broadcast, archival and film restoration workflows where inventing plausible detail is unacceptable. Practical strengths include unlimited local rendering with no per-file charge, batch processing, an Autopilot preset system, and plugin round-trips with Lightroom, Photoshop and Resolve. The trade-offs are real: you need a decent discrete GPU, the eight-app catalogue overlaps in confusing ways, and the 2026 move away from perpetual licences toward the Topaz Studio subscription bundle was unpopular with owners who had bought outright.

Key Features

  • Gigapixel upscaling to 6x with selectable models for photos, text, art and low-resolution sources
  • Topaz Video denoise, deinterlace, frame interpolation and upscaling to 4K or 8K
  • Unlimited local GPU rendering on desktop apps with no per-file credit charge
  • Face recovery, dust and scratch removal, and colourisation for archival restoration
  • Batch processing and Autopilot presets for repeatable high-volume jobs
  • Astra cloud pipeline for generative 4K video enhancement when local hardware is not enough
  • Plugin round-trips with Lightroom, Photoshop and DaVinci Resolve

Pricing

PlanPriceFor
Topaz Gigapixel$12/mo ($149/yr)Image upscaling only
Topaz Photo$17/mo ($199/yr)Photo restoration and enhancement
Topaz Video$25/mo ($299/yr)Video denoise, upscale and interpolation
Topaz Studio$34/mo ($399/yr)All apps plus 300 cloud video credits/mo
Topaz Studio Pro$799/yrFull commercial use, 600 credits/mo, seat management

Comparison

Compared to Magnific AI, the philosophies are opposite: Magnific hallucinates new detail for a stylised, high-impact result, while Topaz tries to recover what the sensor actually captured - pick Magnific for creative work, Topaz for restoration and delivery. Compared to Remini, Topaz is a professional desktop pipeline with batch control rather than a one-tap mobile face fixer. Krea bundles an upscaler alongside generation, which is convenient for AI-native images but weaker on real photographic and video source.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
Topaz Labs (this) image, video, designFrom $12/mo Site ↗
Magnific AIimage, designFrom $39/mo Site ↗
Reminiimage, designFree $0 · From $4.99/mo Site ↗
Krea AIimageFree $0 · From $9/mo Site ↗
Topaz Labs Current

Desktop AI suite for photo and video enhancement - upscaling, denoise, sharpening, frame interpolation and archival restoration.

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Editor’s Review
4.4/5
Pros
  • +Renders locally on your own GPU, so there is no per-image credit meter, no upload wait and no cloud privacy exposure
  • +Restoration models are tuned for faithful photographic detail and film grain rather than invented texture
  • +Round-trips cleanly with Lightroom, Photoshop and DaVinci Resolve instead of forcing you into a new editor
Cons
  • Needs a capable discrete GPU; a long 4K video job on a thin laptop can run for hours
  • The shift from perpetual licences to subscriptions frustrated a large part of the long-time user base
  • Pushing the sliders too far produces a plastic, over-sharpened look that is difficult to dial back

Topaz remains the tool professionals reach for when the goal is rescuing real footage rather than generating something new - the denoise and frame interpolation models still outperform the cloud competition on genuine source material. The product line has grown confusing though, with eight overlapping apps and a pricing page that takes real effort to decode.

See all reviews →

Last updated: 2026-08-04

When to use it

  • Use it when you need renders locally on your own GPU, so there is no per-image credit meter, no upload wait and no cloud privacy exposure
  • Use it when you need restoration models are tuned for faithful photographic detail and film grain rather than invented texture
  • Use it when you need round-trips cleanly with Lightroom, Photoshop and DaVinci Resolve instead of forcing you into a new editor

When to skip it

  • Avoid it if needs a capable discrete GPU; a long 4K video job on a thin laptop can run for hours
  • Avoid it if the shift from perpetual licences to subscriptions frustrated a large part of the long-time user base
  • Avoid it if pushing the sliders too far produces a plastic, over-sharpened look that is difficult to dial back

Alternatives to consider