Head-to-head · AI Photo Culling Software
Facet vs Selekt
Facet leads on 7 checks, Selekt on 0, and 1 is even. Who comes out ahead on the 8 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreFacet · 9.2/10
- Free planboth
- Most featuresFacet · 7 of 7
Facet scores higher on our rubric for ai photo culling software: 9.2 against 8.3 out of 10; our editors rank them #2 and #8.
Facet offers ai quality scoring; Selekt doesn't publish it. Facet offers subject detection; Selekt doesn't publish it. Facet offers duplicate detection; Selekt doesn't publish it. Facet offers raw photo support; Selekt doesn't publish it. Facet offers blur detection; Selekt doesn't publish it.
Facet is the better fit for users wanting free, broad, self-hosted culling. Selekt is the better fit for shooters wanting hybrid offline and cloud workflows.
- Facet fits best
Users wanting free, broad, self-hosted culling
- Selekt fits best
Shooters wanting hybrid offline and cloud workflows
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Side by side
| Feature | Facet 9.2/10 Visit ↗ | Selekt 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.3 |
| Ranking | #2 in AI Photo Culling Software | #8 in AI Photo Culling Software |
| Best for | Users wanting free, broad, self-hosted culling | Shooters wanting hybrid offline and cloud workflows |
| Pricing model | Free | Free plan + paid |
| Starting price | Not published | Not published |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Self-hosted, Desktop | Cloud, Desktop |
| Platforms | Web, Windows, macOS, Linux | macOS, Windows |
| Support | Community, Docs | |
| Integrations | 6 integrations | 2 integrations |
| Built for | Solo, Small business, Mid-market | Solo, Small business |
| Features Facet 7/7 · Selekt 0/7 | ||
| AI quality scoring | ✓ (best) | Not published |
| Subject detection | ✓ (best) | Not published |
| Duplicate detection | ✓ (best) | Not published |
| RAW photo support | ✓ (best) | Not published |
| Blur detection | ✓ (best) | Not published |
| Closed-eye detection | ✓ (best) | Not published |
| Lightroom export | ✓ (best) | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Facet is a free, open-source photo-analysis and culling engine for photographers who want processing on their own hardware. It runs across web, Windows, macOS, Linux, and self-hosted deployments, and supports RAW, JPEG, and HEIF/HEIC… Read the review → |
Selekt is a desktop photo library and culling application for photographers who want local review with optional cloud analysis. It imports and organizes shoots, groups related frames and bursts, previews RAW and JPEG files, and applies… Read the review → |
Strengths and trade-offs
Facet — where it wins
- Scores quality across sharpness, faces, exposure, color, and composition
- Detects bursts, duplicates, similar images, closed eyes, and expressions
- Supports RAW, Lightroom export, galleries, search, and self-hosting
Where it doesn't
- Local deployment puts hardware and maintenance responsibility on the user
- Its broad gallery and organization features may exceed simple culling needs
- Workflow setup varies across Docker, native, desktop, and web deployments
Selekt — where it wins
- On-device scoring and grouping work offline on macOS and Windows
- RAW/JPEG previews with burst grouping and side-by-side comparison
- Exports to Lightroom, Capture One, XMP sidecars, and social presets
Where it doesn't
- Cloud AI tagging, sync, and proofing require an internet connection
- Pro cloud usage can require in-app top-ups
- Desktop support is limited to macOS and Windows
- Facet9.2/10 · Free plan
A free, open-source culling engine with broad AI analysis and local deployment.
Visit FacetFull verdict → - Selekt8.3/10 · Free plan · paid from 16 AUD/mo
A flexible desktop culling workflow with offline scoring and optional cloud analysis.
Visit SelektFull verdict →
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All AI photo culling software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





