https://snapbyface.com/guides/ Practical guides on finding people in your photos and video — locally, without uploading anything. en Mon, 05 Oct 2026 15:33:20 GMT https://snapbyface.com/guides/google-photos-alternative-no-upload/ https://snapbyface.com/guides/google-photos-alternative-no-upload/ Mon, 28 Sep 2026 00:00:00 GMT Google Photos groups people beautifully — as long as it keeps a copy of everything. Here is what you actually give up by going local, what you get back, and how the person search compares. https://snapbyface.com/guides/local-vs-cloud-face-search/ https://snapbyface.com/guides/local-vs-cloud-face-search/ Mon, 28 Sep 2026 00:00:00 GMT Cloud face APIs are better at scale and worse at privacy. A local desktop index is the opposite. Here is an honest comparison — cost, accuracy, speed and what actually happens to your photos. https://snapbyface.com/guides/self-hosted-vs-local-face-search/ https://snapbyface.com/guides/self-hosted-vs-local-face-search/ Mon, 28 Sep 2026 00:00:00 GMT Self-hosting keeps your photos on your own hardware and so does a desktop index — but one of them needs a server. A comparison of PhotoPrism, immich and SnapByFace, and when each is the right shape. https://snapbyface.com/guides/apple-photos-vs-snapbyface/ https://snapbyface.com/guides/apple-photos-vs-snapbyface/ Mon, 28 Sep 2026 00:00:00 GMT Apple Photos builds a People album for free and never uploads your faces. Here is where it stops — and what you actually gain by adding a separate local index. https://snapbyface.com/guides/excire-foto-vs-snapbyface/ https://snapbyface.com/guides/excire-foto-vs-snapbyface/ Mon, 28 Sep 2026 00:00:00 GMT Both are one-time-purchase desktop apps that index photos locally. One is a photo manager that also finds faces; the other only finds people — including in video. https://snapbyface.com/guides/digikam-vs-snapbyface/ https://snapbyface.com/guides/digikam-vs-snapbyface/ Mon, 28 Sep 2026 00:00:00 GMT 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. https://snapbyface.com/guides/organise-photos-by-person/ https://snapbyface.com/guides/organise-photos-by-person/ Sat, 26 Sep 2026 00:00:00 GMT Organising tens of thousands of photos by person fails when it depends on manual tagging. Build a person library from one photo per person and let the index do the grouping instead. https://snapbyface.com/guides/find-a-person-in-video/ https://snapbyface.com/guides/find-a-person-in-video/ Thu, 24 Sep 2026 00:00:00 GMT Video face search works by sampling frames, matching them against a reference photo, and merging hits into time ranges. Here is how to find the moment someone appears — with nothing leaving your computer. https://snapbyface.com/guides/find-all-photos-of-one-person/ https://snapbyface.com/guides/find-all-photos-of-one-person/ Tue, 22 Sep 2026 00:00:00 GMT Finding every photo of one person comes down to three things: one good reference photo, a single pass over your folders, and knowing how to read a similarity score. Here is the workflow that holds up at 50,000 photos.