What is AI property analysis?

AI property analysis uses artificial intelligence to evaluate a property's condition, layout, and features from a walkthrough video. RealtyLens processes the video through a 5-step AI pipeline to generate floor plans, room-by-room condition scores (1-10 scale), issue detection with repair cost estimates, and MLS-ready listing copy — all in under 5 minutes.

How does RealtyLens generate floor plans from video?

RealtyLens analyzes your walkthrough video to detect room transitions, doorways, and spatial relationships. The AI maps room adjacencies and connection types to generate an accurate spatial floor plan — no measuring tape or special equipment needed.

How accurate are the AI condition scores?

RealtyLens provides granular 1-10 condition ratings for every room, assessing walls, floors, ceilings, and fixtures individually. The AI detects cracks, water damage, wear patterns, and other issues with severity levels. While not a replacement for a licensed home inspection, these scores give agents a reliable preliminary assessment for listing preparation.

How long does a property analysis take?

The average analysis takes about 5 minutes from upload to complete report. You record a walkthrough video (typically 3-5 minutes), upload it to RealtyLens (1 minute), and the AI generates everything in approximately 3 minutes.

What does the AI property report include?

A RealtyLens report includes: AI-generated spatial floor plans, room-by-room condition scores (1-10 scale), feature detection (fixtures, appliances, finishes), issue tracking with severity levels and repair cost estimates, natural light assessment, MLS-ready listing copy with headline and highlights, value estimates, and target buyer profiles.

Can RealtyLens replace a home inspection?

RealtyLens is designed to complement — not replace — a licensed home inspection. It gives real estate agents a fast, detailed preliminary assessment for listing preparation, pricing strategy, and client conversations. For formal transactions, a licensed inspector should still be engaged for structural, electrical, and plumbing evaluations.

RealtyLens

For SaleRealtyLens property overview

$425,000

$289/sqft

914 Point St

Camden, NJ, 08102

Listing Notes

This lovely 4 bedroom, 2 bathroom Camden townhouse is located close to Rutgers University Camden campus, the Ben Franklin Bridge and the Camden Waterfront Park. Take a tour on the Battleship New Jersey, visit the Adventure Aquarium or visit the site of the new Museum of the American Revolution, located steps from 914 Point Street. The home is currently being rented, bringing in an income of $3,200.00 a month. The home can be purchased as a package together with the adjacent townhouses at 912 and 910 Point Street. The property is being sold "as is" and the buyer will be responsible for the re-sale certificate and all inspections and repairs. The home has solar panels on the roof.

Comps

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Mortgage Calculator

Townhouse profileMonthly payment scenario$2,160/mo

Excludes property tax, home insurance, and hoa / fees — not in this listing, so the true monthly cost is higher.

Due at close: $102,000
Loan amount: $340,000
Loan to value: 80%

Principal & interestLoan scenario$2,160
Property taxNot in listing dataNot provided
Home insuranceNot in listing dataNot provided
HOA / feesNot in listing dataNot provided
Mortgage insuranceLoan scenario$0

Townhouse HOA or common charges are filled only when the listing source provides them.

Only the listing price is sourced for this property. Missing tax, insurance, and HOA/maintenance costs are not guessed.

Home price

Down payment

Down payment %

Interest rate

Default from Freddie Mac PMMS 30-yr fixed, week of Jul 16, 2026.

Loan term

Property tax / yr

Not in listing dataHome insurance / mo

Not in listing dataHOA / fees / mo

Not in listing dataPMI rate

Closing costs

Listing activity

Where it is

For sale Coming soon Recently sold— zoom out for more

You can also find this listing on Realtor.com.

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Listing data sourced from realtor.com. RealtyLens enriches and contextualises it for you, but the original listing lives on the source.