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

$1,648,000

3-24 125th St Unit 3-22

College Point, NY, 11356

View more College Point, NY property pages

7Beds

5Baths

N/ASqft

N/A$/sqft

Market Insights

Market comparison pendingN/A

Comparable price-per-square-foot data is still developing for this home.

Nearby medianN/A

Nearby properties8

Property sizeN/A

8 nearby properties available for comparison.
3 price records are available for this property.
Square footage is missing, so valuation should lean more heavily on comps and condition.

Estimated Monthly Payment

Per month, all-in$10,831/mo

Assumes 20% down, 7.00% APR over 30 years. Tax and insurance are national-average estimates — your lender quote will differ.

Principal & interest$8,771
Property tax (est.)$1,511
Home insurance (est.)$549

Property Read

FreshnessVerification recommended

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

Market Position8 nearby signals

Nearby inventory exists, but square-footage or price data is incomplete for a clean median comparison.

Price Movement1 price cut

Recorded price cuts can create room for negotiation, but the latest ask still needs to be compared against true comps.

Diligence Read1 item to check

AI ReadinessNeeds verification

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: 29 days
Last price change: Up $20,000 (1.2%)
Listed: Apr 14, 2026
Photos: 17 photos
Property type: multi family
Status: for sale

Photos

Price History

May 11, 2026diff

$1,648,000for sale

May 9, 2026diff

$1,628,000for sale

May 4, 2026Initial record

$1,648,000for 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.