Generate Multilingual Shopify Product Descriptions with Gemini 2.5 Vision AI
Automates generation of multilingual (ES, DE, EN, FR, IT, PT) Shopify product names, descriptions, and handles using Gemini 2.5 Vision AI from product images and metadata, storing results in Google Sheets.
This n8n workflow leverages Gemini 2.5 Flash-Lite for computer vision analysis of Shopify product images, extracting objective details to generate accurate, language-specific product copy in six languages: Spanish, German, English, French, Italian, and Portuguese. It fetches products via Shopify API, analyzes the primary image, combines insights with product metadata in an AI Agent under strict anti-hallucination rules, parses structured JSON output, expands into per-language items, sanitizes content (handles, HTML), and appends rows to Google Sheets for easy review and publishing.
Key benefits include time-saving automation for e-commerce scaling, reducing manual translation and copywriting costs, ensuring consistency across languages, and minimizing AI hallucinations through enforced JSON schemas. It's ideal for online stores expanding internationally, dropshippers, or agencies managing multilingual catalogs, with built-in fallbacks for missing images and auto-mapping for Sheets integration.
Use cases: Bulk-process new product uploads for global markets; refresh descriptions for seasonal campaigns; audit and localize existing catalogs. Requires Shopify access, Gemini API key, and Google Sheets setup. Scalable for high-volume use, but check model limits/pricing.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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