Junk Removal, AI Photo Volume Estimator & Instant Quote Tool

Independent and small-chain junk removal companies doing $20,000-$70,000/month, currently quoting by phone description or requiring an in-person visual estimate before pricing. Find them via Google Maps searches for 'junk removal' plus a city name, local Facebook groups for home services and moving/hauling, and businesses currently running Google Local Services Ads (a category where cost per lead rose roughly 67% year over year as of September 2026, meaning owners are actively feeling pressure to convert more of what they're already paying for).

The customer picks a job type, describes where the items are located and any access notes, and uploads 3-6 photos of the pile. A vision-capable AI model estimates the load size in the truck-fraction terms the industry actually prices by (1/8 through Full Truck), cross-referencing what's visible against a reference volume scale and a baked-in 2026 pricing table. It flags special items that carry add-on fees (mattresses, appliances with refrigerant, electronics, tires, hazardous liquids) and gives a confidence rating based on how completely the photos show the real scope of the job.

When confidence is Low, it skips a fixed price and instead books with a stated price ceiling and an on-arrival confirmation, rather than guessing. The customer books a same-day or next-day pickup window and pays a small deposit via Stripe, credited toward the final total. The business owner gets every submission as a structured lead with the photos and full AI reasoning, so the crew shows up already knowing roughly what they're dealing with instead of sizing the job cold on arrival.

Expect the AI to be more reliable at spotting the general load-size tier than at nailing an exact dollar figure in the first couple of weeks, which is why the 2-week supervised pilot exists in the build. Photo scope is the main early friction point: customers photographing only part of a larger job (one shelf of a full garage) is common enough that the scope-warning logic matters in practice, not just on paper. Businesses running this report fewer of the classic phone-quote-then-double-it complaints, since the price shown before booking already accounts for what the photos actually show rather than a guess from a verbal description.