Restb.ai

Writing compelling listing descriptions is one of the most time-consuming tasks for real estate agents. Restb.ai automates this by analyzing uploaded property photos with computer vision models trained on millions of real estate images. The system identifies room types, architectural features, finishes, and amenities, then generates a structured listing description.

Beyond descriptions, Restb.ai provides a photo quality score that helps agents select the best images for MLS and marketing. The compliance check flags potential fair housing violations in generated text. Integration with CoreLogic, Zillow, and Realtor.com means the output flows directly into existing listing workflows.

The free tier processes up to 100 images/month. Paid plans add bulk processing, custom model training for specific markets, and white-label API access for brokerages and MLS platforms.

Capabilities include: automatic room classification (kitchen, bathroom, bedroom, etc.), feature extraction (granite countertops, hardwood floors, stainless appliances), photo quality scoring (lighting, composition, completeness), and fair housing compliance review. The API returns structured JSON for easy integration.

Limitations: accuracy depends on photo quality and coverage; exterior/landscaping features less detailed than interior; custom vocabulary requires training data; API rate limits on free tier.