Maintaining trust in a real estate listing platform begins with image quality. Static review systems couldn’t keep up with scale or customer expectations. To address this, Property Finder partnered with GoML to build an intelligent suite of AI-powered APIs that validate, enhance, and cross-check listing images automatically using Generative AI.  

The problem: inconsistent visuals leads to low trust in real estate listings

High-quality visuals are essential to a successful real estate listing. Yet as Property Finder’s volume grew, the platform struggled to maintain image consistency, clarity, and alignment with listing descriptions. Manual image reviews were slow and error-prone. Low-resolution images, duplicates, and mismatches between descriptions and visuals hurt credibility and user experience, leading to missed opportunities and lower conversion rates.

To deliver a trustworthy real estate listing experience at scale, Property Finder needed an automated, AI-driven approach to validate and verify visuals with precision.

The solution: a generative AI-powered image intelligence system for real estate listings

GoML worked with Property Finder to build a modular suite of AI APIs, designed specifically for real estate listing workflows. Powered by AWS Bedrock, FastAPI, and serverless architecture, this system automates visual validation, enhancement, and content verification at scale.

Image quality validation API

Automatically evaluates every uploaded image in a real estate listing for clarity, resolution, and relevance. Poor-quality or unrelated visuals are flagged or blocked before going live.

Image enhancement API

Uses advanced AI models hosted on EC2 to upscale and improve low-quality images, ensuring every real estate listing looks professional and appealing to potential buyers or renters.

Image detail extraction API

Leverages computer vision to extract structured metadata from images, like room types, views, and features, enabling better tagging and validation for each real estate listing.

Text and image comparison API

Cross-checks images against the real estate listing description using an LLM model. It flags mismatches like a listing that says “sea view” but shows a street, ensuring consistency and trust.

The impact: consistent visuals and faster real estate listing approvals

• 75% reduction in manual review time, accelerating real estate listing workflows

• 85% decrease in low-quality or incorrect images, boosting brand consistency

• 60% reduction in mismatches between images and listing text, improving user trust and platform credibility

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“At Property Finder, trust and experience are at the heart of every real estate listing we publish. As our platform scaled, maintaining consistent image quality manually became a bottleneck. Partnering with GoML allowed us to automate that challenge using Generative AI, improving speed, accuracy, and ultimately user confidence. We’ve seen a transformative shift in both operational efficiency and platform credibility.”

— Omar Al-Mansoori, CTO, Property Finder

Lessons for real estate platforms and marketplaces

Common pitfalls to avoid

• Relying on manual image checks in high-volume real estate listing environments

• Publishing listings with mismatched or unclear visuals

• Overlooking the connection between listing descriptions and supporting images

Tips for product and engineering teams

• Automate image workflows for reliable real estate listing quality at scale

• Use EC2-hosted AI models for visual enhancement

• Validate listings by aligning visual metadata with written descriptions

Ready to improve real estate listings at scale with AI?

Let GoML help you automate image workflows, detect inconsistencies, and enhance quality across every real estate listing on your platform using Generative AI.

Reach out to build your own Gen AI-powered real estate intelligence layer.