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AuraSR vs FreeScaler

Both stand on image upscaling software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

AuraSR

Free plan APISelf-hosted

AuraSR provides both a Python package workflow and an API, with an overlapped option for reducing tile seams. Users should account for package dependencies, the extra processing time for overlap, and server-side API key handling.

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FreeScaler

Free plan Mac

FreeScaler combines local AI upscaling with custom CoreML model support at no cost. Check the Mac, memory, and GPU requirements before using it, especially for experimental .mov processing.

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The facts

AuraSRFreeScaler
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hostedMac
Lowest paid planFree or on requestFree or on request
Plans published21
MakerNot publishedNot published
Websitegithub.comgithub.com
On image upscaling software#57 of 99#53 of 99

AuraSR: what it does well

  • Supports a broad range of listed image formats.
  • API offers v1 and v2 checkpoints.
  • Queued requests, status checks, results, and optional webhooks.
  • Overlapped processing can reduce visible tile seams.
  • Open-source package is listed as free.

What to know first

  • Python package requires several dependencies.
  • Overlapped processing doubles processing time.
  • Regular tiling can leave seams.
  • API key should be kept out of client-side code.

FreeScaler: what it does well

  • Free, open-source macOS application
  • On-device processing without image uploads
  • Custom CoreML model importing
  • Supports Apple Silicon and Intel Macs
  • Exports image comparisons after upscaling

What to know first

  • Requires at least 8GB RAM
  • Intel GPUs are not supported
  • .mov upscaling is experimental
  • Exclusively available on macOS

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