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Home/Categories/AI & Machine Learning/Upscayl
icon of Upscayl

Upscayl

Open source alternative to Topaz Labs Gigapixel AI, LetsEnhance.io and Adobe Photoshop

A free and open-source AI image upscaler for Linux, MacOS, and Windows, enhancing image quality with AI.

45.2K starsTypeScriptAGPL-3.0Active recently
Visit websiteGitHub repo
image of Upscayl
Contents
  1. 01Who Upscayl is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Upscayl vs alternatives
  6. 06Tech stack
  7. 07FAQ
  8. 08Similar open-source tools
TL;DR

Upscayl is an open source desktop AI image upscaler for creators who want local enhancement instead of a paid proprietary tool like Topaz Gigapixel. It enlarges low-resolution images on your machine and requires a Vulkan-compatible GPU for best results.AGPL-3.0 · TypeScript · 45.2K stars · Active recently

who it's for

Who Upscayl is for#

Designers improving low-resolution assets

Upscale icons, product shots, and old brand assets locally before using them in design work.

Skip if:

You need guaranteed professional batch controls and vendor support.

Archivists restoring personal images

Enhance scans or old images without uploading them to a cloud processing service.

Skip if:

Your computer lacks compatible GPU support.

the problem

The problem it solves#

Designers, archivists, and ecommerce teams often need to rescue low-resolution images without sending them to a cloud editor or buying a specialized proprietary app. The hard part is getting acceptable upscaling quality while keeping the workflow local and predictable.

how Upscayl solves it

How it solves it#

Local AI upscaling

Upscayl enlarges and enhances low-resolution images on the desktop, keeping image processing on the user machine.

Cross-platform desktop releases

The README lists Linux AppImage, RPM, DEB, ZIP, macOS, and Windows download options.

GPU-backed processing model

The project states that a Vulkan-compatible GPU is needed, which sets clear hardware expectations before users install it.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Good fit for privacy-sensitive image workUpscayl avoids a cloud upload workflow for users who need to process private or client-owned images locally.
  • No proprietary desktop lock-inAGPL-licensed source gives users an inspectable alternative to paid upscaling apps.

Trade-offs

  • -Hardware compatibility can block adoptionMany integrated GPUs may not work well because the app depends on Vulkan-compatible graphics hardware.
  • -Professional tools still have more controlsTopaz Gigapixel and similar paid tools may offer more polished batch workflow, model selection, and vendor support.
versus alternatives

Upscayl vs alternatives#

Upscayl vs Topaz Gigapixel

Upscayl is better when creators want local open source upscaling without buying a proprietary desktop app. Topaz Gigapixel remains stronger for professional workflows that need vendor-supported models, polished batch controls, and commercial support. Upscayl fits designers, archivists, and hobbyists who can work within GPU and model limits.

tech stack · detected from GitHub

What it's built on#

Languages
JavaScriptPythonTypeScript
Frameworks
Next.jsReact
frequently asked

FAQ#

Can Upscayl replace Topaz Gigapixel?

Upscayl can replace Topaz Gigapixel for basic local upscaling needs. Topaz remains stronger for professional workflows that require polished controls and support.

Does Upscayl need a GPU?

Yes. The README says Upscayl needs a Vulkan-compatible GPU for image upscaling.

Is Upscayl free?

Yes. Upscayl is free and open source, with AGPL-3.0 reported in GitHub metadata.

also worth a look

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Repository

Stars
45.2K
Forks
2.2K
License
AGPL-3.0
Latest
v2.15.0
Last commit
67 days ago
Last verified
May 13, 2026
Repo
upscayl/upscayl ↗

Additional details

Language
TypeScript
Open issues
58
Contributors
49
First release
2022

Categories

AI & Machine LearningDesign & CreativeBusiness & Productivity

Tags

Graphic DesignPhoto ManagementDeveloper ToolsOpen CoremacOS