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Restb.ai

Computer vision API that tags, classifies, and quality-scores real estate listing photos

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About Restb.ai

Restb.ai provides a computer vision API purpose-built for real estate imagery. MLSs, portals, and brokerage platforms use Restb to automatically tag listing photos with room types and features, detect quality issues (blurry, dark, clutter), identify staging opportunities, and generate search-ready photo descriptions. The API processes millions of images daily.

Key Features

Photo Classification

Automatically identifies room types (kitchen, master bath, backyard) across all listing photos.

Quality Scoring

Scores each photo on brightness, sharpness, and composition; flags issues for resubmission.

Feature Tagging

Detects granite counters, hardwood floors, pool, fireplace, and 400+ other features from images.

Photo Descriptions

Generates SEO-ready alt text and listing descriptions from photo content.

Duplicate Detection

Identifies and flags duplicate or near-duplicate photos to improve listing quality.

Use Cases

MLS photo validation and auto-tagging workflows

Portal search result ranking by photo quality

Automated listing description generation

Comparative market analysis with visual data

Agent coaching on listing photo quality

Pros & Cons

Strengths

Purpose-built for real estate imagery, RESO compliant, processes at massive scale, easy integration via REST API.

Limitations

Developer integration required (no no-code UI), pricing is volume-based, limited to image analysis only.