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ShotSieve review

Free#25 of 29 in AI Photo Culling Software

A focused open-source tool for scoring, sorting, and reviewing desktop photo libraries.

6.5/10Editor score
ShotSieve6.5 Visit ShotSieve

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

ShotSieve is an open-source desktop application for photographers and hobbyists who want AI-assisted photo culling while keeping their libraries on their own machines. It scans folders, scores supported images with learned image-quality models, and presents a visual keep-or-reject workflow. The application supports Windows, macOS, and Linux, with packaged builds for each platform. Its category capabilities include AI quality scoring, RAW support, and blur detection, making it suited to local review workflows rather than cloud-based library management.

The standout feature is the combination of learned scoring and model comparison. Users can compare multiple scoring models, then filter images by format, resolution, megapixels, or file size. Sorting options include resolution, file size, format, width, and height, while keyboard shortcuts support review decisions. Local catalog and preview caching are designed to make repeated access to a folder-based collection practical. Batch actions extend the workflow beyond selection: keep, reject, copy, move, and delete operations are available from the review process.

ShotSieve fits users who value open-source software, local processing, and control over file actions across a desktop operating system. Its focus is narrower than a broader photo-management suite: the documented workflow centers on image-quality scoring, visual review, filtering, sorting, and file handling. Duplicate detection, subject analysis, and Lightroom export are not part of that documented feature set. Choose ShotSieve if quality-based culling and local ownership are the priority; consider another tool if your workflow depends on those additional library-analysis or Lightroom features.

ShotSieve pros and cons

  • Where it wins
    • Learned quality scoring with comparisons across multiple models
    • Filtering, sorting, and batch file actions support efficient review
    • Local catalog and preview caching keeps workflow desktop-focused
  • Where it doesn't
    • Focuses on quality review rather than duplicate detection
    • Subject analysis and Lightroom export are not part of the documented workflow
    • Requires desktop installation and folder-based photo review

ShotSieve fact sheet, pricing and score →

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