digiKam vs SnapByFace: Full Photo Management vs Purpose-Built Face Search
digiKam is a free, open-source photo manager that happens to do faces. SnapByFace only does faces. Which one you want depends on whether you need a DAM or an answer.
Published 2026-09-28 4 min read
- comparison
- open source
- photo management
digiKam is one of the most capable open-source photo managers there is: catalogue, tags, ratings, metadata, RAW workflow, geolocation, batch processing — and face detection and recognition on top of it. It is free, it runs on Linux, Windows and macOS, and for a lot of photographers it is the whole toolbox.
SnapByFace does one thing: you give it a photo of a person, and it finds that person across your photos and video. It costs money and it has none of the rest.
So this is not really a fight between two products trying to do the same job. It is a question of whether you want a photo manager that includes faces or a search tool that only does faces, including video.
:::note Written September 2026. digiKam’s face workflow varies by version and platform — check its documentation for the current state on your system. :::
The core difference
| digiKam | SnapByFace | |
|---|---|---|
| Job | Full digital asset management | Face search across photos and video |
| Price | Free, open source | One-time licence |
| Platforms | Linux, Windows, macOS | macOS 12+, Windows 10+ |
| How people are found | Detect faces → confirm/n train tags → search | Add one reference photo → search |
| Video | Not a video tool (photo-focused) | Searched by face, results as time ranges |
| Metadata, tags, RAW, maps | Yes | No — it indexes folders you already have |
| Where data lives | Your machine | Your machine (~/.snapbyface/) |
| Who maintains it | You (or your distro) | The vendor, plus a ~300 MB bundled model set |
Where digiKam is the better choice
Say this first, because it is often the right answer:
- You need real photo management. Tags, ratings, colour labels, EXIF/IPTC editing, RAW conversion, geolocation, batch renames — SnapByFace has none of that and never will.
- Free matters. A well-maintained open-source tool at zero cost is hard to argue against.
- You are on Linux. SnapByFace ships for macOS and Windows only. Linux users should look at digiKam (or the self-hosted options).
- You want everything under one roof. One catalogue, one tool, no second index to think about.
If your problem is “my photo library is disorganised”, digiKam is the tool. SnapByFace does not organise anything.
Where SnapByFace is the better choice
You want an answer, not a project
digiKam’s face workflow asks you to confirm and train faces before the recognition is useful — the accuracy improves as you tag. That is a reasonable design for a catalogue you are maintaining anyway, and it is a lot of upfront work if all you want is “which photos is my brother in?”.
SnapByFace inverts it: add one reference photo, index the folders, read the results. No training loop.
Video
This is the clearest split. digiKam is a photo manager; video is not part of its face recognition story. SnapByFace checks video about once per second, compares what it sees against your reference photo, and merges consecutive appearances into time ranges — “02:14–02:34”. If your material includes footage and the question is “when does she appear?”, the photo manager is not the tool for it.
Search quality is the product, not a feature
Because face search is the only job, the knobs are about search: a similarity threshold (0.45 by default, 0.30–0.80), results viewable by person or by file, and CSV export. Changing the threshold does not re-analyse anything — your media has already been looked at once, so it is just a stricter or looser cut-off over the same findings.
It leaves your folders alone
SnapByFace reads your media and never writes to it: no renaming, no moving, no re-encoding, no sidecar files. It is an index sitting beside a library you keep managing however you already manage it — including with digiKam.
Using both
This is not an either/or, and it is probably the most common sensible setup:
- digiKam for organising, tagging, RAW work and long-term catalogue management.
- SnapByFace when a specific question comes up — a person, across photos and video — especially when footage is involved.
Neither interferes with the other, because neither rewrites your files.
What SnapByFace does not do
Worth being explicit, since the comparison makes the gaps obvious:
-
No photo management. No tags, ratings, albums, maps, RAW development or batch operations.
-
No Linux build.
-
No free tier beyond the trial — it is a paid licence, not open source.
-
Only people you added. It will not identify faces you never supplied a reference for.