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PixCull
What it is
PixCull is a free, MIT-licensed photo and video culling tool that sorts shoots into keep, maybe, and cull groups. It scores frames from one to five stars across technical quality, subject, composition, light, moment, and aesthetic, with a written rationale for each area. Its described photography use spans nine fields, from weddings and wildlife to journalism and still life. PixCull exports XMP sidecars for Lightroom and Capture One, IPTC captions, and standalone HTML galleries. It can watch tether destinations for either Lightroom or Capture One and sync folders through iCloud, Dropbox, or NAS. Video tools can score clips, identify reel candidates, transcribe audio, and export an EDL for Premiere or Resolve. RAW decoding, scoring, face analysis, and GPS analysis can run locally. The maker says cloud judging through MiniMax is enabled by default from v2.50 after recorded consent, and can be disabled with `--vlm-mode off`. With cached models and cloud judging disabled, a run can operate without network connections. The iOS swipe companion is a Swift package to build in Xcode, not an App Store app.
For and against
For
- Sorts photos into keep, maybe, and cull groups
- Scores frames across six axes with rationales
- Exports for Lightroom and Capture One
- Includes video scoring and EDL export
- MIT license allows commercial use and forking
Against
- Cloud judging is enabled by default from v2.50
- iOS companion is not available on the App Store
- Only the latest main branch is supported
- Optional cloud model calls may incur API costs
The verdict
PixCull brings photo and video culling, scoring, and workflow exports together in a free open-source package. Its cloud-judging default, support policy, and build-it-yourself iOS companion are worth noting before choosing it.
Who it suits
PixCull suits photographers who need help sorting photo or video shoots, including wedding, event, sports, wildlife, and landscape photographers. It may also fit users who want local processing or exports for their existing photo workflow.
Plans and prices
PixCull
MIT-licensed open source; optional paid licence; optional cloud model calls may incur API costs
Read 7 Oct 2026 · github.com
On the record
- Exports and integrations
- PixCull exports XMP sidecars for Lightroom and Capture One, IPTC captions, and standalone HTML galleries.github.com · read 7 Oct 2026
- Genre support
- The product describes nine photography verticals, including wedding, wildlife, sports, landscape, portrait, event, journalism, commercial, and still life.github.com · read 7 Oct 2026
- Intended users
- The maker identifies wedding and event photographers, sports and action shooters, photojournalists, studios, wildlife and landscape photographers, and self-taught photographers as target users.github.com · read 7 Oct 2026
- License
- PixCull is released under the MIT license, which the maker says allows commercial use and forking.github.com · read 7 Oct 2026
- Local processing
- RAW decoding, scoring, face analysis, and GPS analysis run locally, and photos can stay on the user's machine.github.com · read 7 Oct 2026
- Mobile companion
- An iOS swipe companion is provided as a Swift package to build in Xcode and is not available on the App Store.github.com · read 7 Oct 2026
- Optional cloud processing
- The maker's security policy says photos are sent to MiniMax for judging by default since v2.50 after recorded consent, and the feature can be disabled with --vlm-mode off.github.com · read 7 Oct 2026
- Photo culling
- PixCull sorts shoots into keep, maybe, and cull, scores frames across six axes, and gives a written reason for each decision.github.com · read 7 Oct 2026
- Privacy and network behavior
- The maker states there is no telemetry; with cached models and cloud judging disabled, a run can operate without network connections.github.com · read 7 Oct 2026
- Scoring
- Each frame receives 1–5 star scores for technical quality, subject, composition, light, moment, and aesthetic, with a rationale for each axis.github.com · read 7 Oct 2026
- Server security
- The local server binds to 127.0.0.1 by default, and optional LAN deployment can be gated by an API key header.github.com · read 7 Oct 2026
- Support and limits
- The security policy says only the latest main branch is supported, older commits do not receive backported patches, and vulnerability reports should be emailed to the maintainer.github.com · read 7 Oct 2026
- Tethering and sync
- It can watch a Lightroom or Capture One tether destination and supports folder-based syncing through iCloud, Dropbox, or NAS.github.com · read 7 Oct 2026
- Video tools
- PixCull can score video clips, find reel candidates, transcribe audio, and export an EDL for Premiere or Resolve.github.com · read 7 Oct 2026
The review
PixCull is a free, open-source culling tool for photographers who want explainable image ratings and exports that fit established editing workflows. It is best suited to shooters comfortable with a locally configured toolchain and its security settings. The range of photo and video features is unusually broad for a free package, while default cloud judging is a meaningful privacy trade-off.
Overview
PixCull sorts a shoot into keep, maybe, and cull, then scores each frame from one to five stars across technical quality, subject, composition, light, moment, and aesthetic. A written reason accompanies each decision and each axis, giving photographers a basis to judge the software’s picks instead of treating a single score as definitive. That level of detail is useful when reviewing close calls, though it takes more attention than a simple accept-or-reject pass.
The tool also handles video clips: it can score them, identify reel candidates, transcribe audio, and export an EDL for Premiere or Resolve. Its MIT license permits commercial use and forking, according to the maker. PixCull is free, but optional cloud model calls may incur API costs.
Key features
Photo review and handoff
PixCull describes nine photography genres, from weddings and sports to landscape, journalism, commercial work, and still life. RAW support, subject and duplicate detection, blur detection, and closed-eye detection address common selection tasks. XMP sidecars carry results into Lightroom and Capture One; IPTC captions and standalone HTML galleries offer other ways to share or preserve the output.
It can watch a Lightroom or Capture One tether destination and sync folders through iCloud, Dropbox, or a NAS. Those options make it more practical for photographers with an existing ingest and editing setup than a culling tool built around a single library.
Local control and cloud judging
RAW decoding, scoring, face analysis, and GPS analysis run locally, and photos can remain on the user’s machine. However, since version 2.50, the maker’s security policy says photos are sent to MiniMax for judging by default after recorded consent. Users who require local-only processing need to disable that feature with --vlm-mode off.
The maker says PixCull has no telemetry and can run without network connections when models are cached and cloud judging is off. Its local server binds to 127.0.0.1 by default; optional LAN deployment can be protected with an API key header. These controls give privacy-conscious users a path to a disconnected workflow, but they require deliberate configuration.
Pricing
PixCull: free. The MIT-licensed software suits photographers willing to configure their own workflow and who value commercial use or forking rights. An optional paid licence is mentioned, and optional cloud model calls may incur API costs. The plan description gives no seat or usage cap.
Platforms
PixCull supports API, iOS, Linux, macOS, self-hosted, and Windows. Its iOS companion is a Swift package that users build in Xcode; it is not available on the App Store. That approach gives developers a mobile companion option, but it is a poor fit for anyone expecting a ready-to-install iPhone app.
Who it's for
Wedding and event photographers, sports and action shooters, photojournalists, studios, and wildlife and landscape photographers are among the intended users. Self-taught photographers may also value the written scoring rationales as a second opinion during selection. PixCull is less suitable for people who want supported older releases: only the latest main branch receives support, older commits do not get backported patches, and vulnerability reports go to the maintainer by email.
Pros and cons
Pros
- Six separate star ratings with written rationales make selection decisions easier to inspect.
- Photo and video culling, transcription, and editing handoffs cover more of a shoot workflow than photo-only selection.
- Local analysis, offline operation with cached models, and an MIT license offer meaningful control for users prepared to configure the tool.
Cons
- Cloud judging sends photos to MiniMax by default, so local-only users must change the setting.
- The iOS companion requires an Xcode build instead of an App Store installation.
- Support covers only the latest main branch, leaving users on older commits without backported fixes.
Alternatives
For a broader service with Android, iOS, macOS, web, and Windows support, consider Zno; it has a free starting plan and a free trial.
RawPicker is another freemium option with broad desktop, mobile, API, and web platform support.
Choose PhotoPicker if you want an Android or iOS app with a Pro plan that offers unlimited catalog access for $9.99 a month or $29.99 a year.
Memory Ease may suit photographers looking for a paid service across mobile, desktop, and web, with a free trial.
Futura Photo is a Windows option with a free Community plan that allows unlimited analyses of up to 100 images per analysis and one concurrent installation.
Kepla is a macOS alternative whose maker identifies as a wedding and event photographer.
Optyx offers a free plan for image rating and metadata that works with Lightroom, plus a $6.99 a month Pro plan billed annually.
Project Kestrel is a free, open-source desktop app for Windows and macOS, with Linux users running it from source.
Browse the AI Photo Culling Software list to compare more options.
Verdict
PixCull is a strong fit for photographers who want free, explainable photo and video culling with exports that connect to established editing tools. Its detailed scoring and workflow breadth make it compelling for technically comfortable users. Choose another tool if you need a ready-made iOS app, support for older releases, or a workflow that never sends photos for cloud judging.