# upscayl/upscayl

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

Repository: https://github.com/upscayl/upscayl
Canonical: https://ross.abutalabs.com/products/upscayl
Homepage: https://upscayl.org
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: ai, esrgan, image, upscale, electron, gigapixel, gigapixel-images, image-upscaling, topaz, upscalerimage, upscayl
Last push: 2026-08-20T01:28:53+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 8, longevity 100
- inputs: {"age_days": 1495, "days_push": 14, "days_rel": 616, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 48765, forks 2451 (observed 2026-08-28T04:12:11.521396+00:00)

## What it is
Upscayl is a free and open-source desktop application that uses AI (ESRGAN-based models) to upscale and enhance low-resolution images on Linux, macOS, and Windows. It offers batch processing, multiple upscaling models, and a companion cloud service with paid plans.

## Use cases
- upscale low resolution photos with ai
- enhance blurry or pixelated images
- batch upscale a folder of images
- free alternative to Topaz Gigapixel AI
- enlarge images for printing without losing quality
- restore detail in old photos

## When to choose
- you want a free, offline, open-source image upscaler with a GUI
- you need batch upscaling on Linux, macOS, or Windows with GPU acceleration
- you want a local alternative to paid tools like Topaz Gigapixel

## When to avoid
- you need a command-line or programmatic API for upscaling in a pipeline
- your machine lacks a compatible GPU and CPU-only performance is too slow
- you need very large-scale cloud processing beyond the desktop app's capabilities

## Facets
- artifact type: application
- maturity: active
- function: image-processing, machine-learning, gui
- domain: image-processing, artificial-intelligence, cross-platform
- platform: windows
- tags: image-upscaling, esrgan, ai-upscaler, photo-enhancement, open-source, linux, macos, electron, desktop

## Member repositories
- upscayl/upscayl (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:11.521396+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:20:36.636977+00:00, confidence not recorded.
  - readme: https://github.com/upscayl/upscayl (fetched 2026-08-28T04:12:11.521396+00:00, sha d0dddbe486a1)
  - homepage: https://upscayl.org (fetched 2026-08-29T07:41:59.096686+00:00, sha 7156a001ea3a)
  - site_page: https://docs.upscayl.org (fetched 2026-08-29T07:41:59.110915+00:00, sha 196cc7bc11f6)
  - site_page: https://upscayl.org/pricing (fetched 2026-08-29T07:41:59.108968+00:00, sha ff78b3d5d0de)
- Data as of 2026-08-30T08:39:29.467469+00:00.