Shopify and Amazon merchants set up a product once and run thousands of sales against the same listing. eBay resellers don't work that way. Every item is a one-off — a different camera, a different jacket, a different vintage lamp.
Each listing starts from zero, with nothing to amortize. Per-item friction is the cost structure.
Picture pasting a photo into ChatGPT and asking for a listing. You get a description. That's maybe 15% of what eBay actually needs.
The other 85% is the Item Specifics— the fields that drive eBay's search. Brand, Material, Size Type, Sleeve Length, Pattern, Closure. eBay has tens of thousands of categories and each one has its own required fields. Getting them right is the difference between a listing that sells in 48 hours and one that sits for six months.
For a professional reseller, listings-per-hour is the business. The line between full-time work and a side hobby is how much friction sits between you and the next listing.
We treat your idle time as leverage. AI runs in the background; you keep moving. Ten items finish while you photograph the next ten. We're sellers ourselves — we built letsList around how listing actually feels.
eBay is pushing Item Specifics hard — they drive search discovery, and listings without them get buried. The catch is that nobody wants to fill them out. They're tedious. They change by category. Brand, Model, Color, Material, Size Type, Department, Style, Pattern — and that's only clothing.
Our visual understanding reads labels, identifies products, and recognizes condition from the photos you already took. It consults eBay's own suggested-category API and evaluates which category actually fits. Then it fills the Item Specifics that category requires — the exact fields the search uses, not generic keywords.
ChatGPT can write a description. It can't query eBay's category requirements. It doesn't know which Item Specifics your item needs. It can't post the listing. You copy, paste, edit eBay's form by hand, and lose half the AI's work to formatting. We handle all of that.
Most listing tools treat photos as file attachments — pick from your camera roll, attach to a draft, move on. Serious sellers don't work that way. You take photos in batches, sort them later, crop, rotate, remove backgrounds, annotate.
We built a complete photo system, not a photo upload widget. Take photos before you know what the listing is going to be. Organize them when you're ready. Share them across drafts and SKUs. Edit them without leaving the app. The app replaces your folders, your email chains, and the third-party tools you're paying a subscription for.
Crop, rotate, color, contrast, annotate, stamp. No third-party subscription. Works on every photo, single or bulk.
One click per photo, or run it in bulk across a whole batch. Clean backgrounds increase buyer confidence.
Point the AI at a batch. It understands what's in the frame and crops to the product. Override anything you don't like.
Open the camera in the app directly. Photos go straight into your workspace — they never clutter your Photos app.
Three different ways to figure out what to charge. Use one, two, or all three depending on the listing.
Automatic on every draft. The model suggests a range based on the item's specifics. Surprisingly close to the right ballpark — but it's the model's general knowledge, not live data. Treat it as a starting point.
Not AI. A clean, fast interface for searching live eBay comps the way you already do — built into the listing workflow and tied to the item you're working on. One click constructs the search using the right attributes. Respects your judgment as the seller; just makes the work faster.
The deep one. AI does the Googling for you — researching the item from credible sources on the open web. Tells you variants, flaws to check, authentication tips, and the price-driving factors most sellers miss. Replaces an hour of research per item. See Power-ups below.
eBay doesn't expose completed-listing data publicly anymore, so SellScout works against active listings only. We've done what we can on that front.
Different items, different days, different methods. Some days you have one item to list right now. Some days you have a whole haul to process at once. Some listings deserve manual control on every field. letsList supports all three modes — and lets you switch between them without thinking about it.
Photos, a few notes (voice dictation works great), hit go. The AI runs in the background while you start on the next one.
Upload a haul of photos. Group them into items. Kick off the whole batch. Review the drafts when they're ready.
Start a blank draft and fill it out field by field, like eBay's own form — with the AI there the moment you ask.
Take photos with your phone — in the browser, no app to install. By the time you're at your computer, the items are organized, the AI has run, the drafts are waiting. No “tap to sync,” no upload progress bar.
Everything runs as background work. Start ten items processing, walk away, come back to ten drafts. You never wait on the AI to finish one thing before starting the next.
Most reseller software treats teams as an afterthought — one login, one password, everyone shares it. We built letsList for collaboration from the first screen.
Whether you're solo today, working with a partner, bringing on part-time help, or scaling to a full operation — every teammate gets their own access. Inventory, sources, photos, drafts, edits — everyone sees the same thing, live. Nobody steps on each other.
Even if it's just you for now, the architecture is ready when you grow.
Got 300 listings already live? letsList can pull them down, look at the photos, and enhance them — fixing weak titles, filling in missing Item Specifics, cleaning up descriptions that read like a 2011 template.
The key: the AI integratesthe information you've already written. It doesn't overwrite your work — it builds on it. You confirm every draft before it goes back. Bulk or one at a time. Only the fields that actually changed get sent to eBay.
This is where letsList's depth shows up. Most listing tools can't do this at all. The ones that try only touch the surface.
Save your phrasing — return policy language, condition descriptions, default Item Specifics for a category, the way you sign off every description. Apply at the source level, the SKU level, or globally.
If you list the same kinds of items over and over — vintage cameras of one make, t-shirts of one brand, parts for the same model of car — templates eliminate the repetition. Your listings sound consistent whether you wrote them or a teammate did. And you can edit anything the AI produces at the field level, not the regenerate-the-whole-thing level.
Listings come and go. Inventory stays. Every item has a source — a thrift run, an estate buy, a consignment lot, a haul. Every item has a cost basis. Every photo belongs to the SKU, so it survives if you relist.
We thought about this at the foundation level. SKUs are auto-created from drafts. Source records carry into reporting. Photos persist across listing rebuilds. Nothing is lost when a draft gets deleted.
We use eBay's official APIs — the same rails eBay's own systems run on. No browser automation. No scrapers. No extensions poking at the eBay UI. Your listings are first-class eBay listings, indistinguishable from listings posted by eBay itself.
In February 2026 eBay updated its User Agreement to explicitly ban automated scraping, LLM-driven bots, and any end-to-end flow that places orders without human review. Tools built on browser extensions are on borrowed time. Homemade scripts hooked to eBay's web UI fall under the same prohibition. We never built that way.
A single listing is the result of multiple specialized AI passes — visual understanding that reads labels and identifies products, a category evaluator that consults eBay's own suggestion API, an Item Specifics pass that fills the category-specific fields, a title optimizer that uses all 80 characters, condition language matched to the product, pricing research. You approve every step. You can edit anything, redo anything.
Every change streams to every device the moment it happens. Phone capture appears on the desktop draft as you take it. Two people on the same listing see each other's edits live. Background work runs while you keep moving — start ten items, walk away, come back to ten finished drafts. The reactive backend isn't a nice-to-have; it's why the app feels different.
US, UK, DE, AU, JP, IT, FR, CA, ES, and the rest. Each marketplace has its own categories (different in every market), its own product catalog, its own shipping options, its own carriers. We support all of it. UK sellers aren't second-class citizens here — neither are sellers in Germany, Japan, or anywhere else.
Background removal, virtual mannequins for clothing, deep product research, comp search, SKU inventory with cost basis, photo editor, team access — all built in. Stop paying a stack of vendors for pieces of the workflow.
The rest of letsList runs on a flat monthly plan. Two features do enough work each run that they're metered separately, drawing from a small monthly credit pool included on every tier. Top up if you burn through yours.
The deep one. AI does the Googling for you — researching the item from credible sources on the open web. Tells you what the item really is, the variants you might've missed, typical flaws to check, authentication tips, the selling points that move listings. The price suggestion accounts for nuance — “if it has this critical part, it's worth way more.” Takes 30–60 seconds per item. Replaces an hour of research.
For clothing sellers. Drop a flat-lay photo, get a clean mannequin rendering. A massive click-through upgrade for clothing listings without owning a mannequin, hiring a model, or building a photo studio.
No credit card. Connect an eBay account, bring some photos, see if it holds up to how you actually work.