No. 13 of 29 ·AI Photo Culling Software

Local AI Culling

Windows · Mac · Linux

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Freedom report

Two barsScore 5.6

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedPlans, terms and facts published

Local AI Culling is ranked #13 of 29 in AI photo culling software on Freedom251. It runs on Linux, macOS, Windows.

Compared on AI photo culling software

Free plan: Yes
AI quality scoring: Yes
Subject detection: Yes
Duplicate detection: Yes
RAW photo support: Yes
Blur detection: Yes
Closed-eye detection: Yes
Lightroom export: No

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The record

Purpose: Local AI Culling is an open-source, offline AI-assisted image culling application built for professional photographers.
Workflow: It analyzes photo shoots and organizes images into KEEP, REVIEW, and REJECT folders for editing in Lightroom or another editor.
Burst ranking: It identifies high-speed bursts and selects the best frame in each burst.
Image evaluation: Its scoring evaluates technical quality including focus, noise, composition, expressions, and editability.
Feedback dashboard: A local web dashboard lets photographers review decisions, adjust thresholds, and see why the AI made a decision.
Export: The default hardlink export organizes files without duplicating or modifying the originals; copy mode is also configurable.
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.
Platforms: The README lists Windows, macOS, and Linux support, with hardware acceleration where available and CPU fallback.
Installation: Installation requires Python 3.10 or later, with Python 3.11 recommended, and an SSD is highly recommended.
Image formats: Documented supported formats include JPG, JPEG, PNG, and standard CR2 and NEF RAW; CR3, compressed ARW, and HEIC may have incomplete support.
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.
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.
Support: The project directs users to its documentation and GitHub Issues for help, bug reports, and feature requests.
Intended users: The application is built specifically for professional photographers.

Where it ranks on Freedom251

Best AI Photo Culling Software in 2026#13 of 29

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Sources

github.com/codeby-arsb/local-ai-culling· checked 30 Sept 2026
github.com/codeby-arsb/local-ai-culling/blob/main/· checked 30 Sept 2026
github.com/codeby-arsb/local-ai-culling/blob/main/· checked 30 Sept 2026
github.com/codeby-arsb/local-ai-culling/blob/main/· checked 30 Sept 2026