BSRGAN

At a glance

• Editor score
  6.0 / 10
• Pricing
  Free plan
• Best for
  Developers training or testing blind super-resolution
• Free plan
  Yes
• Paid from
  Free
• Upscaling method
  Ai
• Founded
  2021
• Facts checked
  22 Sep 2026

• Where it wins

  • Pretrained BSRGAN and BSRNet models support 2× and 4× scaling.
  • Training code and degradation modeling support research workflows.
  • Directory-based batch processing runs locally on Windows and Linux.

• Where it doesn't

  • Requires technical users who can run Python and PyTorch code.
  • Focused on research and development rather than a hosted commercial workflow.
  • PNG is the documented result export format.

Our verdict on BSRGAN

BSRGAN is open-source PyTorch software for blind image super-resolution, aimed at researchers, developers, and technical users working with degraded real-world images. It provides pretrained BSRGAN and BSRNet models, with separate 2× and 4× scale-factor options. Windows and Linux support, local directory processing, and input coverage for JPG, JPEG, PNG, PPM, BMP, and TIF make it suited to users who want a programmable image-upscaling workflow rather than a general-purpose desktop application.

The main cost advantage is its open-source, free-to-use model. There are no paid plan tiers to compare; the published product details center on locally run software, pretrained models, and training code. Setup is correspondingly technical: the intended user needs to run Python and PyTorch code and work with local testing scripts. Directory-based batch processing can fit repeatable workflows, while PNG result export gives the output path a defined format. This is a practical choice for developers comfortable managing research software, not for buyers seeking a hosted service with a guided onboarding flow.

Its standout capability is the blind super-resolution approach, supported by a degradation model covering blur, downsampling, noise, JPEG compression, and camera-sensor noise. The randomly shuffled degradation pipeline is designed for varied image conditions, and the included training code supports work on both BSRNet and BSRGAN. That combination gives BSRGAN more depth for experimentation than a narrow image-enlargement utility, but its focus is also its boundary. Choose it for model training, evaluation, and local batch processing; choose an alternative if you need a simpler interface, hosted access, or a broader production-oriented platform.

Your product? Our editors can test BSRGAN in depth and publish a review, labelled as paid · from $149/mo →

BSRGAN pricing

BSRGAN fact sheet

Alternatives to BSRGAN

• REReal-ESRGANA flexible open-source upscaler for local image, anime, and video workflows.9.4
• NextGenUpA capable local upscaler with broad enhancement tools and no subscription.9.3
• UpscaylA flexible upscaler with free local processing and credit-based cloud plans.9.1

See all BSRGAN alternatives →

Featured on iTechGuides

BSRGAN is listed in our Image Upscaling Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update