pixcull
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 1 Aug 2026. How this is checked
Pixcull is a local-first, on-device AI application designed for professional photographers. It automates the tedious process of photo culling using a sophisticated 6-axis rubric for scoring images based on quality, composition, and relevance. The tool exports metadata in XMP and IPTC formats and is compatible with Lightroom and Capture One workflows. As an open-source Python package, it emphasizes privacy by running entirely locally without sending images to the cloud.
Inferred · not functionally tested
Overview
6 featuresPurpose: Manually reviewing and rating thousands of raw photos from a shoot to decide which ones to keep and edit.
Inferred · not functionally tested
Audience: professional photographers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
pixcull sits in PulseGate's Computer vision, OCR & document AI category. Inferred · not functionally tested: Manually reviewing and rating thousands of raw photos from a shoot to decide which ones to keep and edit. Inferred · not functionally tested: It is built as an open-source project for professional photographers. Basis unknown · not verified: pixcull is open source under the MIT license. Basis unknown · not verified: pixcull is available on the command line, and it can be self-hosted.
Behind pixcull is ChrisChen667788, and it first shipped in 2026. Development happens publicly on GitHub with 105 stars and 398 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include AI Photo Culling, 6-Axis Rubric, and XMP Export. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- AI Photo Culling
- 6-Axis Rubric
- XMP Export
- IPTC Export
- Lightroom Integration
- Capture One Support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
5What PulseGate has recorded for this listing
Frequently asked questions about pixcull
- What does pixcull do?
- Inferred · not functionally tested: Manually reviewing and rating thousands of raw photos from a shoot to decide which ones to keep and edit. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who is pixcull for?
- Inferred · not functionally tested: pixcull is an open-source project built for professional photographers.
- Does pixcull have a free plan?
- Basis unknown · not verified: Yes — pixcull is open source under the MIT license and free to use.
- What platforms does pixcull run on?
- Basis unknown · not verified: pixcull runs on the command line. It can also be self-hosted.
- Is pixcull still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 398 commits in the last 90 days.
- What projects are similar to pixcull?
- Similar projects tracked by PulseGate include SnapCuller, Pixicular, and pixipix.SnapCullerPixicularpixipix
- Who makes pixcull?
- pixcull is developed by ChrisChen667788.
- When did pixcull launch?
- pixcull first shipped in 2026.
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