To extract data from individual photos of book covers. I need to create a csv file with (bare minimum) Author and Book Title but ideally a shopify product csv with the Ai tool doing research to get the ISBN, second hand value, and creating a Description and Metatags etc. Ive been using CHAT gpt it can do 6 photos at a time and sucks makes mistakes almost every run. I wound ideally like to just set it to run thorough a gdrive folder of photos. Specific prompt below — Generate a Shopify product CSV for the items shown in the provided photo(s). Process all books in the images as a batch. Follow these rules exactly: 1. Output only the CSV data — no commentary, explanations, or extra formatting. 2. Use Shopify’s exact column names listed below, in this exact order, with no missing columns and no extra columns. Leave fields blank where specified. 3. Map fields exactly as instructed: Title = BOOK TITLE & AUTHOR URL handle = lowercase title & author, hyphen-separated, no special characters Description = Short synopsis, book format if identifiable, and condition notes based on the photo(s) Vendor = BOOKS WORTH KEEPING Product category = Print Books Type = FICTION or NON FICTION Tags = Must include BOOKS and either FICTION or NON FICTION; add NZ FICTION or NZ NON FICTION if NZ-based; add any further relevant tags in CAPS Published on online store = true Status = draft SKU = unique code generated for each book Barcode = ISBN if visible, else blank Option1 name = blank Option1 value = blank Option2 name = blank Option2 value = blank Option3 name = blank Option3 value = blank Price = Research online for comparable second-hand price; undercut cheapest by ~10% Price / International = blank Compare-at price = blank Compare-at price / International = blank Cost per item = 0 Charge tax = true Tax code = blank Inventory tracker = shopify Inventory quantity = 1 Continue selling when out of stock = false Weight value = estimate in grams Weight unit for display = g Requires shipping = true Fulfillment service = manual Gift card = false SEO title = BOOK TITLE & AUTHOR SEO description = concise 160-character version of the Description Google Shopping / Google product category = 543543 Google Shopping / Gender = unisex Google Shopping / Age group = adults Google Shopping / MPN = blank Google Shopping / AdWords Grouping = blank Google Shopping / AdWords labels = blank Google Shopping / Condition = used Google Shopping / Custom product = false Google Shopping / Custom label 0 = blank Google Shopping / Custom label 1 = blank Google Shopping / Custom label 2 = blank Google Shopping / Custom label 3 = blank Google Shopping / Custom label 4 = blank 4. For multiple books in the images, list each as its own row in the CSV. 5. Do not insert any markdown code blocks — return plain CSV text. 6. Ensure there are no missing mandatory values (Title, Vendor, Type, Price, Status, SKU, Inventory tracker, Inventory quantity, Requires shipping).