Image processing happens before the user is asked to type anything extra.
Shreddy
Three steps from image to estimate.
The flow stays short. Upload the piece, review the sold matches, and add only the details that matter.
Upload the object.
The app prepares the image locally so the first pass stays fast.
Review the closest sold lots.
You see the nearest comps and a simple similarity check before any estimate.
Add useful context.
Material, marks, size, and condition help when the photo alone is not enough.
Get a conservative range.
The estimate stays grounded in the sold matches instead of a broad category average.
Keep the decision visible.
Shreddy shows the evidence first and the estimate second. That keeps the workflow honest and easy to follow.
The sold items are presented as actual objects, not abstract scores.
The estimate only becomes final after the similarity review is complete.
One view, no extra chatter.
The app avoids heavy instructions and keeps each screen focused on one question.
Image match first
The nearest sold objects arrive as soon as the embedding is ready.
Details only when needed
Text fields are there for context, not as a required form wall.
Open the workflow.
Upload one object and see how quickly the comps narrow the estimate.