Real estate computer vision API that analyzes property photos to detect rooms, features, condition, quality, and damage â powering automated valuations, MLS compliance, and property search across 100+ companies.
Computer vision API built for real estate â analyzes property photos to detect 700+ features, assess condition, and automate valuations for MLSs, appraisers, lenders, and insurers.
Restb.ai is the real estate industry's leading computer vision provider, founded in 2015 and now serving 100+ companies globally including 20+ publicly traded companies and unicorns. The platform processes property photos through specialized AI models trained exclusively on real estate imagery, outputting standardized data in RESO, PDR, and PDC formats for seamless integration with existing PropTech systems. Unlike general-purpose image recognition, Restb.ai understands real estate context â it knows that a garage with a concrete floor doesn't mean the property has concrete floors, because it analyzes all of a property's images collectively rather than in isolation. The platform detects 700+ real estate-specific tags covering room types, interior and exterior features, architectural styles, property condition, quality grades, damage assessment, and even complex visual concepts like natural light quality and appliance brands. Response times are under 500 milliseconds per image with parallel processing support for any volume requirement. Restb.ai's suite spans seven solution areas: image tagging for auto-populating listing details, property condition scoring for appraisals and insurance, visual similarity matching for comparable properties, auto-generated image captions for SEO and ADA compliance, photo compliance checking for MLS guidelines, AI-generated property descriptions, and a new Feature UAD API (released January 2026) for the upcoming UAD 3.6 appraisal mandate. The platform has delivered measurable results for clients including a 50% reduction in manual review time, 50% fewer revision requests in appraisals, and a documented 28% increase in home sale prices when used for listing optimization. Pricing is based on monthly property volume with a fixed fee plus per-API-call overage, and batch pricing is available for datasets over 1 million properties.
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Restb.ai offers specialized ai real estate capabilities with focus on reliability and integration. Best suited for teams that need proven solutions with good support.
Detects room types, interior/exterior features, architectural styles, views, condition, quality, and damage from property photos â outputting in RESO-standardized formats.
Use Case:
An MLS platform auto-populates listing fields (hardwood floors, granite countertops, stainless appliances, pool) from uploaded photos, reducing agent data entry time from 15 minutes to under 2 minutes per listing.
AI-assessed condition and quality grades for each property based on visual analysis, providing standardized scores that eliminate subjective human variation.
Use Case:
An appraisal management company uses condition scores to pre-screen properties, flag discrepancies between agent-reported condition and photo evidence, and reduce revision requests by 50%.
Purpose-built API released January 2026 to help appraisers meet the upcoming UAD 3.6 mandate â automatically extracts required property features from photos in the new standardized format.
Use Case:
An appraisal firm integrates the Feature UAD API ahead of the 2026 mandate deadline, automatically populating UAD 3.6-compliant feature fields from inspection photos and reducing compliance risk.
Computer vision-enhanced comparable property matching that considers visual features, condition, and quality â not just square footage and location â for more accurate comps.
Use Case:
A lender's AVM adjusts its valuation model by comparing the subject property's visual condition and finishes to the most visually similar recent sales, improving accuracy for renovated homes that traditional comps undervalue.
Automatically flags property images and videos that violate MLS guidelines, website policies, or appraisal report requirements â including watermarks, blurry photos, and non-property images.
Use Case:
A regional MLS with 50,000 new listings monthly automatically screens every uploaded photo, rejecting images with agent watermarks, business cards, or duplicate photos before they go live.
Auto-generates descriptive alt-text for images (boosting SEO and ADA compliance) and full property descriptions from photo analysis alone.
Use Case:
A real estate portal auto-generates unique alt tags for 2 million listing photos, improving search engine image indexing and meeting ADA accessibility requirements without manual effort.
Custom (volume-based)
Custom (bulk discount)
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