Turn Etsy Product Notes into 6-Language Drafts with n8n and Gemini
A developer builds an n8n and Gemini workflow to translate Etsy product notes into six languages, helping small shops save time.
Stock photo for illustration only, not from the actual event
- Built an n8n and Gemini workflow to draft Etsy listings in six languages
- The system generates drafts without auto-publishing, leaving final review to humans
- Includes a mock mode to verify installation without needing an API key
- Part of a documented 90-day, zero-dollar tool-building project in public
Creating a solid Etsy listing—including a title of 140 characters or less, exactly 13 tags, and a detailed description—takes significant time. Doing the same for German, French, Spanish, Italian, and Japanese buyers is where many small shops decide to stop.
To solve this, a developer built an automated n8n workflow for the task. Users simply paste a few lines of product notes, and the system prompts Gemini to generate drafts in each language supported by Etsy for translations, runs affordable rule checks, and writes everything to a spreadsheet or CSV marked as REVIEW or FIX.
Stock photo for illustration only, not from the actual event
The system does not publish anything directly to Etsy. Every single row must be read by a human, who then pastes what they decide to keep. The pipeline flows from run and configuration to sample notes or new sheet rows, prompt execution, Gemini processing, Etsy rule validation, and finally the review sheet or CSV.
This workflow highlights a secure implementation of generative AI in ecommerce by restricting the technology to a drafting role rather than autonomous publishing. By keeping humans in the loop, shop owners mitigate risks associated with hallucinations, grammatical nuances, or inaccurate product specifications.
The developer notes that a REVIEW status only indicates that specific formatting rules were met, not that the copy is entirely factual. Real-world sample runs showed that accent marks occasionally went missing and size references appeared out of nowhere, reinforcing the necessity of human oversight.
Additionally, a mock mode is provided so users can confirm their installation is correct before adding any API keys. The project is part of an open 90-day build utilizing zero-dollar tools.
Source: Dev.to
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