Indoor maps are difficult to create from plans and spatial data
People building indoor maps and floorplan-based experiences struggle to turn source plans or captures into usable spatial data. Current workflows can involve expensive 3D camera rigs, manual interpretation, repeated capture attempts, or fiddly integrations and a lack of suitable multi-floor libraries. Blurry floorplans can also make it hard to judge whether a paid conversion will work.
For indoor-map builders and floorplan-based app developers. Mentioned from Aug 2024 to Jun 2026 on Bluesky, product forums, Hacker News and Stack Exchange.
7 different people described this problem in 6 separate discussions.
- Indie fit
- 4.0/10
- Pain
- 6.6/10
- Frequency
- 7.5/10
- Willingness to pay
- 0.0/10
- Momentum
- 5.0/10
- Who pays
- Businesses
- Competition
- Medium
- Build difficulty
- Medium
What people said
Quoted word for word. Follow a link to read the whole discussion.
Mapping all this is a manual process because it requires people to interpret raw spatial data in context. We build our own world model
I need a library to create paths inside shopping centers that allows even several floors
Build brief
See what to build and who will buy it
- 1 product idea with the smallest useful version and pricing
- 4 places to find your first customers
- 5 more quotes from people who have this problem
- Current workarounds, existing solutions and risks