Improve ImgSLI icon
Improve ImgSLI icon

Improve ImgSLI

Improve-ImgSLI is a free, open-source image comparison tool for designers, photographers, and AI upscaling enthusiasts. It lets you compare two images side-by-side or over-under with a draggable splitter, an advanced magnifier (Nearest Neighbor, Bilinear, Bicubic, Lanczos), and...

Magnifier

Cost / License

  • Free
  • Open Source (MIT)

Platforms

  • Windows
  • Linux
  • Arch Linux
  • Flathub
  • Flatpak
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Features

Properties

  1.  Privacy focused
  2.  Lightweight

Features

  1.  Ad-free
  2.  Extensible by Plugins/Extensions
  3.  Portable
  4.  No registration required
  5.  No Tracking
  6.  Built-in viewer
  7.  Works Offline
  8.  Dark Mode
  9.  Side-by-Side Comparison
  10.  Before/After photos
  11.  Screen Magnifier
  12.  Drag and Drop
  13.  Side-by-Side View
  14.  Image Comparison
  15.  File Comparison

Improve ImgSLI News & Activities

Highlights All activities

Recent activities

Improve ImgSLI information

  • Developed by

    RU flagLoganavter
  • Licensing

    Open Source (MIT) and Free product.
  • Written in

  • Alternatives

    3 alternatives listed
  • Supported Languages

    • English
    • Russian
    • Chinese
    • Portuguese

AlternativeTo Categories

File ManagementOS & Utilities

GitHub repository

  •  33 Stars
  •  4 Forks
  •  2 Open Issues
  •   Updated  
View on GitHub
Improve ImgSLI was added to AlternativeTo by Paul on and this page was last updated .
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What is Improve ImgSLI?

Improve-ImgSLI is a free, open-source image comparison tool for designers, photographers, and AI upscaling enthusiasts. It lets you compare two images side-by-side or over-under with a draggable splitter, an advanced magnifier (Nearest Neighbor, Bilinear, Bicubic, Lanczos), and full canvas zoom & pan — all GPU-accelerated for smooth performance even on large files.

Beyond visual comparison, it includes a built-in image analysis suite with pixel difference maps, SSIM/PSNR metrics, edge detection, and channel analysis. Comparisons can be exported as high-resolution images (PNG, JPG, WEBP) or video (H.265) via the built-in video editor with a keyframe timeline. Images load via drag & drop or clipboard paste (Ctrl+V).

Available on Windows and Linux (Flatpak, AUR, Python source). MIT licensed.