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

$399,000

332 E 77th St Apt 11

New York, NY, 10075

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1Beds

1Baths

N/ASqft

N/A$/sqft

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Listing Notes

Introducing Residence 11, featuring classic pre-war charm with incredible details and outstanding proportions! Smartly designed, this home offers an open and sunny North facing living room which features a charming decorative fireplace, over 9 foot ceilings, solid oak wood floors, elegant exposed brick, and a storage closet. This space is perfect for both entertaining or relaxing. The newly updated kitchen is outfitted with modern white cabinets and an iconic subway tile backsplash. Top of the line appliances include a dishwasher, Whirlpool refrigerator, LG washer/dryer as well as a new oven and microwave. The serene and cozy bedroom can fit a queen size bed and offers a generous closet. The windowed bathroom features a shower/tub and stainless-steel fixtures all clad in white tiles. 336-332 East 77th Street is a beautiful well-established pre-war Co-op located near the M79 crosstown bus and M15. It is also close to the 6 train on East 77th Street and the new Q train on East 72nd Street. Building amenities include a live-in super. The building features a video intercom system that can be controlled remotely by the Butterfly app. Parents buying for children, gifting, co-purchasing and in unit washer/dryer are allowed. Subletting permitted after 5 years of ownership. Sorry, pets and pieds-a-terre are not permitted. The maintenance is 64% tax deductible and the new owner can apply for STAR (School Tax Relief Credit) to get a credit off the maintenance. Based off of the current Star Tax credits in the building, this credit would be anywhere from $100-$150 off of the current monthly maintenance. Showings are by appointment only. There is a current monthly assessment of $56.25.

You can also find this listing on Realtor.com.

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