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

$810,000

133-29 Amber St

Howard Beach, NY, 11414

View more Howard Beach, NY property pages

6Beds

4Baths

2,116Sqft

$383$/sqft

Market Insights

Below nearby median-18%

$383/sqft vs a nearby median of $466/sqft.

Nearby median$466/sqft

Nearby properties12

Property size2,116 sqft

-18% versus the nearby median price per square foot.
Price history is limited, so current comps matter more than trend alone.
2,116 sqft creates a usable price-per-square-foot read.

Pricing Read

Yardstick fair value$913k$831k – $995k · 50% confidence

vs ask $810k−$103k (−12.7%)

Asking price is about 12.7% below the fair value — likely to draw competing offers if it's still on market.

$459/sqft median across 7 tight comps × 2,116 sqft= $971k

Visible condition issues−$34k −3.5%
Days-on-market gravity−$29k −3.0%
Transit access+$5k +0.5%

Cumulative NYC adjustments−$58k−6.0%

Property Read

FreshnessVerification recommended

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

Market Position-18% 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: 340 days
Last price change: No change recorded
Listed: Jun 6, 2025
Photos: 3 photos
Property type: single family
Status: for sale

Price History

May 4, 2026Initial record

$810,000for 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.