I built a listing writer that runs on the seller's own laptop — open-weight models, zero cloud

Description and use

A local listing generator that runs on the seller’s laptop, avoiding per‑listing fees and data exposure while producing platform‑specific titles, tags, and price ranges.

Problem

A reseller needs to write dozens of listings manually, incurring per-listing costs and exposing sensitive data to cloud services.

Outcome

Listing Studio produced a 56‑character Etsy title, 12 tags (clipped to 20 chars), a GBP 25–40 price band, and a fallback description in 49 s on CPU. A second run yielded a shorter title and a lower price band, demonstrating the model’s drafting role.

Workflow

• Describe an item once in a form
• Python builds a prompt with platform rules
• Ollama runs an open‑weight model
• Model outputs prose
• Python clamps titles, normalises tags, caps price band
• Results are exported as listings and CSV
• Optional history stored in SQLite

Evidence

A reseller photographs forty things a week and then writes forty listings by hand.

Source

Listing Studio: describe an item once and it writes a platform-shaped title, description, tags and price range for Etsy, eBay, Depop or Vinted — running entirely on your own machine.

Source

The model writes prose, Python decides every hard limit.

Source

First run, ~49 seconds on CPU, unedited: Title: Vintage Weathered Pine Wood Birdhouse by Local Carpenter (56/140 chars) … Price: GBP 25–40

Source

I wanted the photo to be the input — point the camera at the item, get the listing. It is wired up, and it is not the default, for reasons worth sharing…

Source