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

$1,150,000

22-24 126 St

College Point, NY, 11356

View more College Point, NY property pages

4Beds

3Baths

1,920Sqft

$599$/sqft

Market Insights

Below nearby median-17%

$599/sqft vs a nearby median of $721/sqft.

Nearby median$721/sqft

Nearby properties12

Property size1,920 sqft

-17% versus the nearby median price per square foot.
Price history is limited, so current comps matter more than trend alone.
1,920 sqft creates a usable price-per-square-foot read.

Pricing Read

Yardstick fair value$1.29M$1.15M – $1.43M · 33% confidence

vs ask $1.15M−$137k (−11.9%)

Asking price is about 11.9% below the fair value — likely to draw competing offers if it's still on market.

$721/sqft median across 4 tight comps × 1,920 sqft= $1.38M

Transit access−$42k −3.0%
Days-on-market gravity−$42k −3.0%
Visible condition issues−$14k −1.0%

Cumulative NYC adjustments−$97k−7.0%

Property Read

FreshnessVerification recommended

The page is useful for research, but the status and price should be verified before acting.

Market Position-17% vs nearby

The asking price per square foot is below the nearby median, which can be worth a closer comp check.

Price MovementInitial price point

Price history is still limited; review again as more market activity becomes available.

Diligence Read1 item to check

AI ReadinessReady to analyze

Assistant read

Generate a buyer-agent read of this listing — pricing, risks, comp check, and negotiation leverage. Takes a few seconds.

Generated from the facts shown on this page and nearby market data. Not a professional appraisal.

Listing Details

Days on market: 181 days
Last price change: No change recorded
Listed: Nov 12, 2025
Photos: 2 photos
Property type: multi family
Status: for sale

Price History

May 4, 2026Initial record

$1,150,000for sale

You can also find this listing on StreetEasy.

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