Computer vision for listing photos
Stryder reads a property's photo set the way a trained appraiser would, room by room, and returns structured tags, condition notes, and virtual tour assets your brokerage can act on in minutes, not days.
The problem
A busy brokerage brings in hundreds of new listing photo sets a week. Someone still has to look at every image, decide what room it is, judge its condition, note what's renovated and what isn't, and get it all into the MLS listing and marketing package correctly. That review work doesn't scale with headcount, and inconsistency between agents shows up in the listings themselves.
The approach
Upload a listing's photo set and Stryder classifies each room, scores condition, detects notable features, and assembles the images into an ordered virtual tour with a draft floor plan layout. Your team checks the output and pushes it forward, instead of starting from a blank listing form.
Connect your existing upload flow or drag in a folder. Stryder accepts raw photo sets straight from the listing shoot, in whatever order they arrive.
Each image is classified by room type, scored for condition, and scanned for features worth calling out: renovated kitchen, natural light, exposed damage, and similar.
Output arrives as structured tags plus an ordered virtual tour and a draft floor plan, ready to drop into your MLS entry or marketing package.
Under the hood
Every room classification and condition score carries a confidence rating, so your team knows when to trust the first pass and when to take a closer look.
Kitchen, bathroom, interior, and exterior are scored separately before rolling up into one property score, so nothing gets averaged away.
Search across your own listing history for visually similar units, useful for pulling comps or matching a buyer to properties they haven't seen yet.
Flags aren't just noted. Each one is rated by severity and mapped to the building system it affects: roofing, plumbing, electrical, and so on.
Platform scale
Figures below are illustrative targets for the current build, shown to demonstrate the kind of scale reporting the platform is designed to produce, not live customer data. See the Validation page for how these are measured.
Technology in use
A brokerage's photographer finishes a shoot Saturday morning and uploads 42 raw images straight from the site. By the time the listing agent sits down Monday, Stryder has already done the first pass.
Every image is tagged by room, scored for condition, and checked for the features that actually move a listing. The agent's job becomes reviewing and approving, not sorting through a memory card room by room. For the full walkthrough of how this pipeline works, see Technology.
For brokerages
First-pass review that used to take an afternoon is ready before the agent opens their laptop.
Every listing gets the same condition scale and feature checklist, regardless of which agent shot it.
Structured output is built to drop into your MLS entry and marketing workflow, not replace it.
Volume weeks stop meaning backlog. The first pass keeps up with the photographer's schedule.
Bring a real listing's photo set to the walkthrough and we'll run it live, so you can judge the output against a property you already know.