Про цю демоверсію

In Puzzling Places you piece together 3D jigsaw miniatures of locations from around the world. There are no scores or timers — just the simple, relaxing joy of connecting pieces and discovering small details along the way.

This demo includes the tutorial and a curated selection of puzzles from the main game, playable in Journey and Classic modes in both VR and flatscreen, to give you a quick hands-on introduction to Puzzling Places' core features and gameplay!

Discover Unique Places

Pick your puzzle: In this demo, you can explore a small selection of intricate puzzles made from 3D scans of real world locations!

Pick Your Challenge

Whether you’re a dedicated jigsaw enthusiast who enjoys long sessions with hundreds of pieces, or you just want to unwind by snapping together a few, every puzzle is available in multiple piece counts and two game modes—so you can choose the playstyle and level of challenge that suits you:

• Classic Mode: You get all pieces at once and sort and assemble freely, just like a traditional jigsaw

• Journey Mode: Start from a single piece and puzzle in small batches for a calmer, more guided experience. Ideal for casual play, short sessions, or when you just don’t want to deal with “the big pile.”

• Multiple Piececounts: Each puzzle is available in 25, 50, 100, 200, 400 pieces - and some even 800 or 1000 pieces! Whatever you’re in the mood for, Puzzling Places can offer a satisfying escape from everyday life.

About the developers

Founded in 2016, Realities.io is a pioneer of 3D photography. Realities.io’s technology has powered the early Steam VR app Realities, a number of award winning VR films and experiences, including Home After War, which was awarded “Best Use of Immersive Arts” at SXSW 2019, and the megahit VR puzzle game Puzzling Places.

Розкриття інформації щодо вмісту, згенерованого ШІ

Розробники так описують використання в грі вмісту, згенерованого штучним інтелектом:

Some of the smaller attachments to the puzzles are generated using generative AI tools and generative AI texture filling functions were used to clean up texture artifacts of 3D scans.