Translate Japanese product listings with glossary and dual OpenAI review

Quick Overview

This workflow collects a Japanese product listing via an n8n form, translates it to English with OpenAI, then runs a second OpenAI pass to review and correct the translation against the original before displaying the final reviewed listing and fixes.

How it works

1. Receives a product name, Japanese description, and target market from an n8n Form trigger.
2. Adds the store name and a fixed translation glossary to guide consistent terminology.
3. Uses OpenAI (chat model) to translate the listing into an English title, description, and bullet points following strict factual and formatting rules.
4. Uses OpenAI again to compare the English draft with the Japanese original, fix inaccuracies or unsupported claims, and generate a list of issues plus a quality score.
5. Displays the reviewed English listing, quality score, and the reviewer’s fixes in a formatted form completion page.

Setup

1. Add an OpenAI API credential and select the model in the OpenAI Chat Model configuration.
2. Update the store name and glossary entries to match your brand terms and preferred translations.
3. Open the generated n8n form URL and submit a sample Japanese listing to test the output.