3.8 / 5

Room Scanner

Point camera at room, get furniture layout and measurements

Serious

Privacy

Offline

Instant

The Problem

Room measurement and layout planning is tedious and requires tools most people don't have

Current Solutions (Not Great)

Measuring tape + graph paper, expensive apps like MagicPlan, professional measurement services

Who Needs This

Apartment hunters, furniture shoppers, interior design enthusiasts, renters planning moves

Planning a room layout usually requires measuring tape, graph paper, and spatial imagination most people don't have. Room Scanner lets you slowly pan your camera around a space and builds a floor plan with approximate measurements. It identifies furniture, doors, windows, and suggests layout improvements. Perfect for apartment hunting, furniture shopping, or finally figuring out if that couch will fit.

Honest Take

Ambitious and impressive when it works. MagicPlan and similar apps exist but are clunky. The technical challenge is significant—accurate measurements from single-camera video is hard without LiDAR. Works best as 'approximate' tool for planning rather than precise measurement. Furniture retailers (IKEA?) might be interested in white-label licensing.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

One-Time Purchase

$9-49 per license

Affiliate / Referral

10-30% commission on referrals

Features

Key features that make this app valuable

Slow-pan room capture with live floor plan generation
Furniture identification and approximate sizing
Door and window detection
Measurement estimation using reference objects
2D floor plan export
Layout suggestions based on room type
Furniture placement simulator
Share floor plan as image or PDF

Build Prompt

Use this prompt with an AI assistant to start building

Build a React PWA called 'Room Scanner' using WebInfer with vision capabilities and MediaDevices API. UI: camera viewfinder with overlay grid, 'Start Scan' button, floor plan canvas below. User calibrates by pointing at standard object (door = ~80in, credit card, etc.). As user pans slowly, capture frames every 500ms. Use vision model to identify objects: { objects: [{ type: 'couch'|'table'|'door'|'window'|'bed'|etc, estimatedWidth: number, estimatedDepth: number, position: {x,y} }], roomShape: 'rectangle'|'L-shape'|etc, estimatedDimensions: {width, length} }. Render floor plan on canvas in real-time. DeviceOrientation tracks rotation for stitching. Export as PNG/PDF. Add furniture catalog for drag-and-drop planning.

Score Breakdown

Pain