Workflow Recipes
Recipe: Stock a WooCommerce Store from Photos
Goal: A folder of product photos and a price list become a stocked store — names, descriptions, short descriptions, and SEO written by AI from the images.
Applies to Antradus AI Publisher v2.7.0 · Last updated 2026-08-26
Ingredients
- Product photos (one good primary shot per product)
- Basic facts the camera can’t see: brand, sizes, materials, price
- A vision-capable provider: OpenAI, Claude, or Gemini (not DeepSeek)
Steps (per product — ~2 minutes each)
- Products → Add New.
- Set the Product image (right-hand panel) — this is what the AI will look at.
- In the Antradus AI panel’s text box, type the invisible facts, telegram-style:
"Brand: Acme. Sizes S-XL. 100% organic cotton. Includes carry pouch." - Click 📷 Look at my product photo & write everything.
- The AI examines the photo → product name, long description, short description, SEO meta — all filled.
- Set price/inventory, glance over the copy, Publish.
Batch rhythm that works
- Upload all photos to the Media Library first (drag-and-drop the folder) — then product creation is: pick image → paste facts → click → price → publish.
- Keep the facts file open beside you; copy-paste each product’s line.
- 30 products ≈ an afternoon, including review.
Gotchas
- The better the photo, the better the copy — clean background, one product per shot.
- Always add the brand and sizes in the text box — confident-sounding guesses about things the photo can’t show are the main thing to watch for in review.
- The Reporting page counts vision calls in your token totals, so catalog costs stay visible.