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- Local AI Culling
On the recordRead 30 Sep 202622 facts
Local AI Culling
On the record
- Burst ranking
- It identifies high-speed bursts and selects the best frame in each burst.github.com · read 30 Sep 2026
- Culling features
- It detects duplicates and bursts, ranks burst frames, and assesses focus, noise, composition, and facial expressions.github.com · read 30 Sep 2026
- 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.github.com · read 30 Sep 2026
- 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.github.com · read 30 Sep 2026
- Duplicate detection
- It groups visually identical photos taken moments apart.github.com · read 30 Sep 2026
- 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.github.com · read 30 Sep 2026
- Export
- The default hardlink export organizes files without duplicating or modifying the originals; copy mode is also configurable.github.com · read 30 Sep 2026
- Feedback dashboard
- A local web dashboard lets photographers review decisions, adjust thresholds, and see why the AI made a decision.github.com · read 30 Sep 2026
- Image evaluation
- Its scoring evaluates technical quality including focus, noise, composition, expressions, and editability.github.com · read 30 Sep 2026
- Image-format limits
- Supported formats include JPG, JPEG, PNG, CR2, and NEF; CR3, compressed ARW, and HEIC may have incomplete support or metadata extraction.github.com · read 30 Sep 2026
- Image formats
- Documented supported formats include JPG, JPEG, PNG, and standard CR2 and NEF RAW; CR3, compressed ARW, and HEIC may have incomplete support.github.com · read 30 Sep 2026
- Installation
- Installation requires Python 3.10 or later, with Python 3.11 recommended, and an SSD is highly recommended.github.com · read 30 Sep 2026
- 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.github.com · read 30 Sep 2026
- Intended users
- The application is built specifically for professional photographers.github.com · read 30 Sep 2026
- License and fees
- The repository identifies the project as open source under the MIT License and says local operation eliminates subscription fees.github.com · read 30 Sep 2026
- Other limitations
- The project says it does not edit Lightroom catalogs or generate XMP ratings, and video culling is postponed.github.com · read 30 Sep 2026
- 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.github.com · read 30 Sep 2026
- Purpose
- Local AI Culling is an open-source, offline AI-assisted image culling application built for professional photographers.github.com · read 30 Sep 2026
