HumCity
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scan photos into ebay listings

Scan photos straight into eBay listings

Phone, scanner, or DSLR — drop the images and HumCity generates the listing.

Start free — 50 listings/mo View demo
The problem

Every eBay seller already takes the photos. The form-filling is the bottleneck.

Walk into any reseller's workspace and you'll find the same setup: a copy stand or lightbox, a phone or DSLR, and a pile of inventory. The photo-taking step is solved — you can shoot 50 items in 20 minutes. The bottleneck is everything that happens after: identifying each item, choosing a category, typing a title, picking item specifics, finding a comp, and submitting the listing.

The reason this bottleneck exists is that listing software has historically asked sellers to do the cataloging work themselves and then offered a form to enter it. The form is shorter on some apps than others, but it's still a form, and it still takes between 4 and 10 minutes per listing depending on the category.

HumCity inverts the workflow. The photos are the input. The AI identifies the item from the photo, generates the title, picks the category, fills the item specifics, and suggests the price. You spend your time approving and editing rather than typing. The math: 12 seconds per listing instead of 6 minutes. For a 50-item haul that's the difference between 10 minutes and 5 hours.

What you get

Capabilities built for this exact workflow.

  • Drag-and-drop or batch upload from any device

    Drop photos from your phone gallery, AirDrop from a DSLR, sync from a scanner, or upload from a folder. HumCity accepts JPG, PNG, HEIC, WebP, and most raw formats. The upload runs in the background so you can keep shooting while previous batches process.

  • AI extraction: title, brand, category, condition, item specifics

    For every uploaded image, the AI extracts the product identity, brand, eBay category, condition, and all required item specifics for that category. The title is generated under eBay's 80-character limit with the most search-relevant terms first. Categories are picked from eBay's full taxonomy, not a curated subset.

  • Background removal and image cleanup

    Built-in background removal turns busy backgrounds into clean white or transparent backgrounds optimized for eBay's image guidelines. The cleanup step also handles auto-rotation, basic exposure correction, and crop suggestions. The cleaned image becomes the primary listing photo automatically.

  • Pricing from recent eBay sold comps

    After identification, HumCity pulls the last 90 days of completed eBay sales for the matched product and surfaces a suggested price range with the median highlighted. You see the comp tape so the suggestion is auditable, not a black box. For thin-comp products, the system widens the search and tells you the comp confidence is low.

  • One-click publish to your eBay store

    Approve a listing in the queue and it ships to your connected eBay store via the official Trading API. Bulk publish lets you approve and ship in batches of any size. Scheduled launches let you queue a batch to go live at a specific time — for example, all listings launching together at peak buyer hours.

  • Multi-photo item grouping

    When an item is photographed from multiple angles (front, back, side, detail shot), HumCity groups the photos into a single listing automatically rather than creating one listing per photo. You can override grouping in the review queue if needed — split a multi-item shot into separate listings, or merge separately-shot photos into one.

Use cases

Built for the way real resellers work.

Apparel and softline resellers

Thrift-store flippers and clothing resellers shoot fast and need to list faster. HumCity reads the brand tag, size label, and item type from the photos and ships the listing to eBay Clothing with the brand, size, color, and condition prefilled. The 80-char title is auto-generated with the brand-first format that drives clicks in apparel.

Electronics and used-tech sellers

Used electronics need accurate model numbers, condition assessment, and compatibility notes. HumCity reads model numbers from product photos and packaging, picks the right eBay Electronics sub-category, fills the model-specific item specifics, and surfaces comps for used pricing.

Estate and downsizing flippers

Estate sales produce wildly mixed inventory — books, kitchenware, collectibles, electronics, clothing all in one buy. HumCity handles mixed-category Pile Mode batches and routes each item to the right eBay category individually. The output is a complete inventory you can list, hold, or donate.

Home-goods and decor sellers

Decor, kitchenware, glassware, and home goods often need brand identification and dimensional info. HumCity reads brand marks from photos and surfaces measurements when visible in the shot. The listing ships to the appropriate Home & Garden sub-category.

How it works

From inventory to live listings in three steps.

01

Drop the photos

Single items, stacks, or piles — HumCity ingests them all. JPG, PNG, HEIC, WebP, raw — all supported.

02

AI builds the listing

Title, item specifics, category, condition, and price suggested in seconds. Multi-photo items auto-grouped.

03

Approve and publish

Review the queue with keyboard shortcuts. Approved listings ship to eBay via the official API.

FAQ

Common questions

What image formats are supported?
JPG, PNG, HEIC, and WebP are fully supported. iPhone Live Photos and most DSLR raw formats also work. The system auto-converts to web-optimized JPG for the final listing while keeping the original for re-editing.
How accurate is the AI?
Most listings need only minor tweaks before publish — a price adjustment or a title edit. Missing fields are flagged for explicit review rather than guessed silently. Accuracy is highest for branded products, collectibles, and categories with strong visual signals.
Can I edit the listing before publishing?
Yes — every field is editable inline before publish. Bulk-edit lets you change titles, prices, shipping policies, and item specifics across any selection at once. You can also save edits as templates to apply to future listings.
Do I need a copy stand or special lighting?
No — phone photos in normal indoor lighting work for the AI extraction. A copy stand or lightbox produces better final listing images, but doesn't materially change identification accuracy. Background removal handles most lighting situations.
How long does the upload take?
Photo upload speed depends on your connection. Once uploaded, AI inference runs in parallel across the batch — a 50-photo batch is typically ready for review in under 90 seconds.
Can I upload from my phone?
Yes. The web app is fully mobile-responsive — drop photos directly from your phone camera roll. A native mobile app is on the roadmap with offline capture support.
Does it work for one-of-a-kind items without strong brand identifiers?
Yes, with appropriate expectations. Branded products are highest accuracy. For unbranded one-of-a-kind items, the AI extracts what it can (color, material, dimensions if visible) and generates a generic title — you'll typically edit the title more for these listings, but the item specifics and category routing are still automatic.
What happens if the AI mis-identifies an item?
You override in the review queue. Wrong category, wrong title, wrong brand — all editable in one keystroke. Frequent corrections in a particular category feed back into model improvements.
Is there a free tier?
Yes. Every account gets 50 free listings or revisions per month with no credit card required. Most resellers can fully evaluate the AI workflow, image recognition, and bulk upload before deciding to upgrade. Paid plans start at $10/month for 500 listings and scale with volume.
Does HumCity use the official eBay API?
Yes. HumCity is an authorized eBay API partner and uses the official Trading and Inventory APIs. Every listing published from HumCity appears in eBay Seller Hub normally, counts toward your eBay reputation, and respects your existing business policies for shipping, returns, and payments.
Which AI models power HumCity?
HumCity routes through Lovable AI Gateway, which selects between leading vision-language models from OpenAI and Google (GPT-5 / Gemini 2.5 / 3.x families) depending on the task. We constantly evaluate new models and silently upgrade the routing — you get the best available accuracy without changing how you work.
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