AutomationFlowsAI & RAG › Slack Auto Translator (ja ⇄ En) with Gpt-4o-mini

Slack Auto Translator (ja ⇄ En) with Gpt-4o-mini

ByTomohiro Goto @taoo on n8n.io

This workflow enables automatic translation in Slack using n8n and OpenAI. When a user types followed by text, n8n detects the language and replies with the translated version via Slack. Detects the input language automatically Translates between Japanese ↔ English using…

Webhook trigger★★★★☆ complexityAI-powered13 nodesOpenAIHTTP Request
AI & RAG Trigger: Webhook Nodes: 13 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #9943 — we link there as the canonical source.

This workflow follows the HTTP Request → OpenAI recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "id": "jcqcULGGIS3CRxFD",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "Slack Auto Translator (/trans) \u2014 JA \u21c4 EN",
  "tags": [],
  "nodes": [
    {
      "id": "27a5c8da-5f3a-42c4-a5b3-661ba6273ae2",
      "name": "Webhook (Slash Command)",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -48,
        -224
      ],
      "parameters": {
        "path": "slack/trans",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "b1f97605-e600-4cb0-bfda-fa2d46f97b04",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        400,
        -224
      ],
      "parameters": {
        "options": {
          "responseCode": 200,
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "text/plain; charset=utf-8"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "={{$json[\"ack\"]}}"
      },
      "typeVersion": 1
    },
    {
      "id": "6a1b64d8-e2f2-480c-8587-85ae58be1fc6",
      "name": "Detect Language (Code)",
      "type": "n8n-nodes-base.code",
      "position": [
        160,
        16
      ],
      "parameters": {
        "jsCode": "// --- Parse Slack payload & trim ---\n// --- Slack\u306e\u30da\u30a4\u30ed\u30fc\u30c9\u3092\u53d6\u5f97\u3057\u3066\u6574\u5f62 ---\nconst body = $json.body || $json;\nconst raw = (body.text || '').trim();\n\n// --- Early return if empty ---\n// --- \u7a7a\u5165\u529b\u306f\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u8fd4\u3057\u3066\u6253\u3061\u5207\u308a ---\nif (!raw) {\n  return [{ json: {\n    text: '',\n    target: '',\n    response_url: body.response_url,\n    user_id: body.user_id,\n    channel_id: body.channel_id,\n    error: 'Please provide text after /trans.' // \u5165\u529b\u3057\u3066\u304f\u3060\u3055\u3044\n  }}];\n}\n\n// --- Optional override: \"en: \u3053\u3093\u306b\u3061\u306f\" / \"ja: hello\" ---\n// --- \u660e\u793a\u30bf\u30fc\u30b2\u30c3\u30c8\u6307\u5b9a\u306b\u5bfe\u5fdc\uff08\u4f8b: en:, ja:\uff09---\nconst m = raw.match(/^(\\w{2}):\\s*(.*)$/);\nlet text = raw;\nlet override = null;\nif (m && (m[1] === 'en' || m[1] === 'ja')) {\n  override = m[1];\n  text = m[2];\n}\n\n// --- Heuristic JA detection ---\n// --- \u65e5\u672c\u8a9e\u30b9\u30af\u30ea\u30d7\u30c8\u5224\u5b9a ---\nconst hasJa = /[\\p{Script=Hiragana}\\p{Script=Katakana}\\p{Script=Han}]/u.test(text);\n\n// --- Decide target language (override wins) ---\n// --- \u30bf\u30fc\u30b2\u30c3\u30c8\u8a00\u8a9e\u6c7a\u5b9a\uff08\u660e\u793a\u6307\u5b9a\u3092\u512a\u5148\uff09---\nconst target = override ?? (hasJa ? 'en' : 'ja');\n\nreturn [{\n  json: {\n    text,\n    target,\n    response_url: body.response_url,\n    user_id: body.user_id,\n    channel_id: body.channel_id\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "48be3dda-347d-45b0-a663-2b9c5945e433",
      "name": "OpenAI (Chat) - Translate",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        512,
        16
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "id",
          "value": "gpt-4o-mini"
        },
        "options": {
          "temperature": 0.2
        },
        "messages": {
          "values": [
            {
              "role": "system",
              "content": "=You are a precise translator. Translate the input ONLY into the target language.\n- Preserve punctuation and line breaks.\n- Do NOT add explanations.\n- Keep style natural and concise.\n\nTarget language: {{$json[\"target\"]}}\n\nInput:\n{{$json[\"text\"]}}"
            },
            {
              "content": "={{$json[\"text\"]}}"
            }
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "2f4bb84e-3109-4f91-ae22-124b83e73d0c",
      "name": "Prepare Response",
      "type": "n8n-nodes-base.code",
      "position": [
        688,
        240
      ],
      "parameters": {
        "jsCode": "const j = $json;\n\n// --- Retrieve translated text (fallback-safe) ---\n// --- \u7ffb\u8a33\u7d50\u679c\u3092\u5b89\u5168\u306b\u53d6\u5f97 ---\nconst translated =\n  j.message?.content ??\n  j.choices?.[0]?.message?.content ??\n  j.data?.[0]?.content?.[0]?.text?.value ??\n  j.response ??\n  'No content';\n\n// --- Read original & user id from Detect node ---\n// --- Detect\u30ce\u30fc\u30c9\u304b\u3089\u539f\u6587\u3068\u30e6\u30fc\u30b6\u30fcID\u3092\u53d6\u5f97 ---\nconst detect = $node[\"Detect Language (Code)\"].json;\nconst original = detect.text;\nconst userId = detect.user_id;\n\n// --- Public message format ---\n// --- \u516c\u958b\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u6574\u5f62 ---\nconst reply = `<@${userId}>\\n> ${original}\\n${translated}`;\n// const reply = `<@${userId}> ${translated}`; // \u2190 \u7ffb\u8a33\u3060\u3051\u6d3e\u306b\u3057\u305f\u3044\u6642\u306f\u3053\u306e\u884c\u306b\u5207\u66ff\n\nreturn [{ json: { reply, response_url: j.response_url } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "cdeb82fe-2702-4fbf-a2c4-3f6263c289aa",
      "name": "Code (Ack)",
      "type": "n8n-nodes-base.code",
      "position": [
        160,
        -224
      ],
      "parameters": {
        "jsCode": "return [{ json: { ack: \"Translating...\" } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "24c37c6e-7d41-4828-b284-aafe250b16d8",
      "name": "HTTP Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        864,
        240
      ],
      "parameters": {
        "url": "={{$json[\"response_url\"]}}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response_type",
              "value": "in_channel"
            },
            {
              "name": "text",
              "value": "={{$json[\"reply\"]}}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "ca69bd68-8977-4a28-8a72-c889af35b1d2",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        864,
        144
      ],
      "parameters": {
        "color": 2,
        "height": 96,
        "content": "Posts the final translation back to Slack (in_channel by default).\nSwitch to ephemeral if you prefer private replies."
      },
      "typeVersion": 1
    },
    {
      "id": "68b6b3b8-7883-4e9b-93f8-83bfc8a7e85b",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        160,
        -80
      ],
      "parameters": {
        "color": 4,
        "height": 96,
        "content": "Detects JA/EN automatically. Supports overrides like \nen: \u3053\u3093\u306b\u3061\u306f \nand handles empty input."
      },
      "typeVersion": 1
    },
    {
      "id": "9d050866-b804-44ae-a81a-91b925ebc9fd",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        512,
        -64
      ],
      "parameters": {
        "color": 6,
        "width": 288,
        "height": 80,
        "content": "Uses gpt-4o-mini with temperature 0.2 for stable translations."
      },
      "typeVersion": 1
    },
    {
      "id": "ec9fb181-2acd-4d17-a367-b61b75c7e180",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        160,
        -304
      ],
      "parameters": {
        "color": 5,
        "width": 208,
        "height": 80,
        "content": "Sends an immediate \u201cTranslating...\u201d response to avoid Slack\u2019s 3s timeout."
      },
      "typeVersion": 1
    },
    {
      "id": "5a2c7e05-221c-433e-bdd8-8e9fcb9504ad",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -96,
        -304
      ],
      "parameters": {
        "width": 192,
        "height": 80,
        "content": "Receives /trans requests from Slack. Uses Production URL in Slack."
      },
      "typeVersion": 1
    },
    {
      "id": "553ffc33-92aa-4274-aa93-555e25ba42da",
      "name": "Merge (Combine Response)",
      "type": "n8n-nodes-base.merge",
      "position": [
        512,
        240
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.2
    }
  ],
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "203ba874-0839-4b4b-bbab-61b1409ad662",
  "connections": {
    "Code (Ack)": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Prepare Response": {
      "main": [
        [
          {
            "node": "HTTP Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Respond to Webhook": {
      "main": [
        []
      ]
    },
    "Detect Language (Code)": {
      "main": [
        [
          {
            "node": "OpenAI (Chat) - Translate",
            "type": "main",
            "index": 0
          },
          {
            "node": "Merge (Combine Response)",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Webhook (Slash Command)": {
      "main": [
        [
          {
            "node": "Detect Language (Code)",
            "type": "main",
            "index": 0
          },
          {
            "node": "Code (Ack)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge (Combine Response)": {
      "main": [
        [
          {
            "node": "Prepare Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI (Chat) - Translate": {
      "main": [
        [
          {
            "node": "Merge (Combine Response)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

This workflow enables automatic translation in Slack using n8n and OpenAI. When a user types followed by text, n8n detects the language and replies with the translated version via Slack. Detects the input language automatically Translates between Japanese ↔ English using…

Source: https://n8n.io/workflows/9943/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

This powerful n8n automation workflow is designed to execute advanced B2B lead enrichment and hyper-personalization for cold email outreach. By orchestrating a complex chain of data scraping, AI analy

OpenAI, HTTP Request, Airtable
AI & RAG

Eu Clara – Funil Kiwify Completo. Uses postgres, openAi, httpRequest, gmail. Webhook trigger; 70 nodes.

Postgres, OpenAI, HTTP Request +1
AI & RAG

This workflow bridges the gap between raw product data and revenue sales tools. It automates the entire Product Qualified Lead (PQL) lifecycle—from real-time intent routing to churn prevention—reducin

HTTP Request, Anthropic, OpenAI
AI & RAG

Lua Nova - Sistema Completo. Uses postgres, httpRequest, openAi. Webhook trigger; 55 nodes.

Postgres, HTTP Request, OpenAI
AI & RAG

User Signup & Verification: The workflow starts when a user signs up. It generates a verification code and sends it via SMS using Twilio. Code Validation: The user replies with the code. The workflow

Postgres, HTTP Request, OpenAI +2