---
title: "Score Property Condition from Photos — AI API"
description: "Return an AI condition assessment from listing photos: an overall category of Excellent, Good, Fair, or Poor, a confidence score, and a per-room breakdown."
---

# AI-derived property condition score from listing photos

`GET /api/properties/property-condition/`

2 credits

## What it returns

An **AI condition assessment** for a US residential property — overall condition category (Excellent/Good/Fair/Poor), confidence score, per-room breakdown when photos are available, and any flags (water damage, deferred maintenance signals). Built from a computer-vision pipeline on the listing's photo set.

## When to use it

- Filter MLS feeds to move-in-ready vs. fixer candidates.
- Adjust AVM expectations based on actual condition.
- Pre-screen photos to skip a manual review pass.

## Pricing

2 credits.

## FAQ

### What model is used?
A multimodal AI vision pipeline; specific models aren't disclosed. Outputs are described in domain terms (`Excellent`, `Good`, …) so the contract is stable across model swaps.

### Does it work on listings without photos?
No — returns `null` overall and a low confidence score. Use `property-condition-custom-photos` to upload your own (NB: that endpoint is currently broken; see [DEVELOPER_API_REPORT.md]).