Photo booths in Italy

1 venue in 1 city in Italy, each checked against the operator’s own location page and, where one exists, a Google Business Profile. Checked 2026-10-26.

The only walk-in photo booth in Italy we can back with an official source is LIFE4CUTS in Navigli, Milan. Passport photo booths (cabina per fototessere) are a separate category that we do not cover in Italy yet.

This page lists self-service booths at a fixed address that you walk into and use yourself. It does not list photo booth rental for weddings and parties, and it does not cover passport photo booths.

What people call it

WordMeaningWho uses it
photo boothThe English word, used by LIFE4CUTS on its European store page (“Photo Booth Experience”).LIFE4CUTS (source)
cabinaA booth — in Italy usually a passport photo booth.Dedem, an Italian passport photo booth operator (“TROVA CABINA” on its website) (source)

At a glance

Venues1
BrandsLIFE4CUTS (1 venue)
Cities1
Map1 marker
Last checked2026-10-26

Venues near you

Find the photo booth nearest to you in Italy

Your browser only asks for your location after you tap the button. The coordinates are used on your own device to work out distances; they are never sent to this site and never recorded.

Map of photo booths in Italy

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Markers on the map: 1. Tap a marker for the venue name and a navigation link. LIFE4CUTS Milan uses its own Google Business Profile (the map link on the brand’s store page points to the wrong store). It only passed a national-border check.

Browse by city

All venues

VenueCityAddressTypeOpening hours / where (as published)StatusSourceMap
LIFE4CUTS Navigli Milano Milan Via Casale 4/B, 20144 Milano (MI) Shopfront — Confirmed Source Map

Brands

LIFE4CUTS (1 venue)

The Korean brand 인생네컷. Its European stores are listed by the UK licensee LIFE4CUTS JS LTD on life4cuts.co.uk/locations-eu (read 2026-10-26: 13 entries in 11 countries). Italy has one, in Navigli, Milan.

Official website: https://life4cuts.co.uk/locations-eu

LIFE4CUTS across all countries

What we could not find

Limits of this data (please read before relying on it)