n8n Japanese Product Listing Translation Workflow w/ Glossary & Dual OpenAI Review

Translate Japanese product listings into polished English—then verify every claim with a dual OpenAI review

This n8n workflow collects a Japanese product listing from an n8n Form, translates it to English using OpenAI, and then runs a second OpenAI pass to review and correct the translation against the original before outputting a final, reviewed listing.

What this workflow does

• Captures input from an n8n Form trigger: you submit a product name, Japanese description, and a target market.
• Guides consistency with store context + a fixed glossary: the workflow adds your store name and a translation glossary to keep terminology consistent.
• Generates a structured English listing: using an OpenAI chat model, it produces an English title, description, and bullet points following strict factual and formatting rules.
• Runs a second OpenAI “review and fix” step: the workflow compares the English draft with the original Japanese, identifies inaccuracies or unsupported claims, and outputs a list of issues plus a quality score.
• Displays results in a formatted completion page: you receive the reviewed English listing along with the quality score and the reviewer’s fixes.

Use cases

• SaaS operators/localization teams translating Japanese product catalog content into English while reducing the risk of incorrect claims.
• n8n automation engineers building a repeatable e-commerce localization pipeline with an explicit “translation + verification” stage.
• Store owners standardizing product titles, descriptions, and bullet formatting using a glossary tied to their brand terms.

Technical details

• n8n nodes: set, form, sticky note, form trigger, and OpenAI chat integration nodes.
• LLM step 1: n8nn8n-nodes-langchainchain / n8nn8n-nodes-langchainlm chat open ai (OpenAI chat model) for translation.
• LLM step 2: a second OpenAI pass to compare the English draft to the Japanese source, producing issues, fixes, and a quality score.

Setup: add an OpenAI API credential, select your OpenAI chat model, update the store name and glossary entries, then test via the generated n8n form URL.