Local AI Culling

Spec sheet

Purpose

Local AI Culling is an open-source, offline AI-assisted image culling application built for professional photographers.Read 30 Sep 2026 · github.com

Intended users

The application is built specifically for professional photographers.Read 30 Sep 2026 · github.com

Platforms

The README lists Windows, macOS, and Linux support, with hardware acceleration where available and CPU fallback.Read 30 Sep 2026 · github.com

Privacy

The security policy says images are not uploaded, cloud APIs are not used for image processing or metadata analysis, and usage telemetry is not collected or transmitted.Read 30 Sep 2026 · github.com

Support

The project directs users to its documentation and GitHub Issues for help, bug reports, and feature requests.Read 30 Sep 2026 · github.com

Burst ranking

It identifies high-speed bursts and selects the best frame in each burst.Read 30 Sep 2026 · github.com

Culling features

It detects duplicates and bursts, ranks burst frames, and assesses focus, noise, composition, and facial expressions.Read 30 Sep 2026 · github.com

Dataset limits

The project recommends 500–2,000 images per run and warns that datasets over 5,000 images may use substantially more memory and process duplicates more slowly.Read 30 Sep 2026 · github.com

Dataset size

The project recommends 500 to 2,000 images per run and warns that datasets over 5,000 images may cause memory pressure and slower duplicate processing.Read 30 Sep 2026 · github.com

Duplicate detection

It groups visually identical photos taken moments apart.Read 30 Sep 2026 · github.com

Editor workflow

The README says organized images can be edited in Adobe Lightroom or a preferred editor, while the limitations page says Lightroom Classic plugin integration is postponed.Read 30 Sep 2026 · github.com

Export

The default hardlink export organizes files without duplicating or modifying the originals; copy mode is also configurable.Read 30 Sep 2026 · github.com

Feedback dashboard

A local web dashboard lets photographers review decisions, adjust thresholds, and see why the AI made a decision.Read 30 Sep 2026 · github.com

Image evaluation

Its scoring evaluates technical quality including focus, noise, composition, expressions, and editability.Read 30 Sep 2026 · github.com

Image formats

Documented supported formats include JPG, JPEG, PNG, and standard CR2 and NEF RAW; CR3, compressed ARW, and HEIC may have incomplete support.Read 30 Sep 2026 · github.com

Image-format limits

Supported formats include JPG, JPEG, PNG, CR2, and NEF; CR3, compressed ARW, and HEIC may have incomplete support or metadata extraction.Read 30 Sep 2026 · github.com

Installation

Installation requires Python 3.10 or later, with Python 3.11 recommended, and an SSD is highly recommended.Read 30 Sep 2026 · github.com

Integration limits

The documented v1.0 limitations say Lightroom Classic plugin integration and video culling are postponed, and the app does not edit Lightroom catalogs or generate XMP sidecars.Read 30 Sep 2026 · github.com

License and fees

The repository identifies the project as open source under the MIT License and says local operation eliminates subscription fees.Read 30 Sep 2026 · github.com

Other limitations

The project says it does not edit Lightroom catalogs or generate XMP ratings, and video culling is postponed.Read 30 Sep 2026 · github.com

Supported systems

The README lists Windows, macOS, and Linux support, with platform-dependent CUDA, Metal/MPS, or CPU acceleration.Read 30 Sep 2026 · github.com

Workflow

It analyzes photo shoots and organizes images into KEEP, REVIEW, and REJECT folders for editing in Lightroom or another editor.Read 30 Sep 2026 · github.com

Where Specifiction places it

• AI Photo Culling Software#21 of 297.4