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PaintPlanner

PaintPlanner uses LiDAR to measure rooms accurately without manual entry and subtracts doors and windows for paint estimates.

10k 热度 AI绘画工具 paint estimation LiDAR accurate calculation project planning
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What is PaintPlanner?

PaintPlanner is a paint estimation tool that uses LiDAR technology to accurately measure rooms without the need for manual entry or measurements. By scanning rooms with a LiDAR supported device, PaintPlanner subtracts doors, windows, and openings to provide accurate paint estimates. It also allows users to save estimates, adjust the number of coats needed, and plan their painting projects.

How to use PaintPlanner?

To use PaintPlanner, you need a LiDAR supported device. Simply scan the room you want to paint using the LiDAR technology, and PaintPlanner will automatically calculate the paint estimate by subtracting doors, windows, and openings. You can then save the estimate and adjust the number of coats and paint coverage as needed. This allows you to plan your painting project efficiently and accurately.

PaintPlanner's Core Features

LiDAR room scanning

accurate calculation

subtracting doors, windows, and openings

save estimates

adjustable number of coats

paint coverage adjustment

PaintPlanner's Use Cases

#1

Homeowners planning to paint their rooms

#2

Interior designers needing accurate paint estimates for their projects

#3

Painting contractors looking for a precise measurement tool

FAQ from PaintPlanner

What is LiDAR?

Can I use PaintPlanner without a LiDAR supported device?

Can I adjust the paint coverage in PaintPlanner?

Can I save and revisit my paint estimates in PaintPlanner?

Who created PaintPlanner?

PaintPlanner Support Email & Customer service contact & Refund contact etc.

Here is the PaintPlanner support email for customer service:

[email protected]

.

PaintPlanner Company

PaintPlanner Company address:

Copenhagen

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PaintPlanner Twitter

PaintPlanner Twitter Link:

https://twitter.com/ebaehr

PaintPlanner Github

PaintPlanner Github Link:

https://github.com/emilbaehr

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