Restb.ai
Computer-vision API that reads real estate photos at MLS scale
Overview
Restb.ai runs computer vision on property photos — tagging rooms, scoring condition and quality, flagging watermarks or duplicates, drafting listing descriptions — sold as an API to MLSs, appraisal platforms and data providers like Cotality (ex-CoreLogic) and Black Knight, not to individual agents.
What you can produce with Restb.ai
- Room-type and feature tagging (image classification)
- Property condition and quality scoring
- Duplicate and watermark detection
- Auto-generated listing descriptions
- Visual similarity / comparable-property matching
- MLS photo-compliance flagging
- RESTful API with Python SDK
- UAD 3.6 appraisal-compliant condition/quality outputs (2026)
ASEAN Perspective
Restb.ai in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Restb.ai is infrastructure, not an app — a computer-vision API that MLSs, AVM providers and appraisal-tech platforms plug into rather than something an agent logs into. Its niche is specific enough that general-purpose vision models don't compete well: standardized room classification, condition and quality scoring calibrated for appraisal use, watermark and duplicate detection at listing-photo volume, said to process over a million property photos a day. Fannie Mae has cited its defect-detection accuracy publicly, and long-standing integrations with Cotality and Black Knight lend real credibility.
Its own research is arguably the most interesting marketing move here — a white paper reporting that a third of appraisals it analyzed carried a material condition or quality-adjustment error, effectively building the case for its own product. Pricing is entirely sales-gated with no public tiers. This is a developer/integrator tool, not something to evaluate as an end-user product.
What people say
Restb.ai doesn't show up on G2 or Capterra with a consumer-style star rating — unsurprising for a B2B computer-vision API sold to MLSs and appraisal platforms rather than to individual real estate agents. Most of what's publicly verifiable comes from its named integration partners and its own published research rather than independent review sites.
The partner list is the strongest signal of real-world traction: Cotality (the company formerly known as CoreLogic), Black Knight, Blackstone, Lemonade, Idealista and Stewart Valuation Intelligence are all named as customers or integrators, spanning AVM providers, insurers and international listing portals. That's a broad footprint for a vertical computer-vision vendor, and the durability of the CoreLogic/Cotality relationship in particular suggests the accuracy holds up under production load rather than just demo conditions.
On accuracy, the company cites a Fannie Mae evaluation finding its image-recognition technology caught appraisal defects "previously impossible" for the agency to detect at that level, and separately claims 98%+ accuracy on defect identification and around 99% on search/matching tasks — figures that come from the vendor rather than an independent benchmark, so they're worth treating as a ceiling rather than a guarantee.
The company's own May 2026 white paper is arguably more revealing than any customer testimonial: analyzing 1,271 appraisals and 6,495 comparable properties with its own computer vision, it found roughly one in three appraisals carried a major condition- or quality-adjustment risk, and close to three-quarters showed some inconsistency warning sign. That's Restb.ai making the case for its own product by quantifying the problem in the industry it sells into — a useful data point, but read it as vendor research, not third-party validation.
Case-study numbers reported for specific deployments include a 50% cut in manual review time, a 50% drop in revision requests, and a 40% reduction in condition-score variance across comparables for one client; a separate integration with Revive's Vision AI platform is credited with a 28% lift in home sale prices. Restb.ai timed a January 2026 product push — computer-vision tools aimed at the incoming UAD 3.6 appraisal standard — well ahead of the mandate, positioning itself as compliance infrastructure for firms that need to hit the new format rather than optional tooling.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Restb.ai's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Restb.ai unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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