Http

Slack auto translator (JA ⇄ EN) with AI

Bridge the gap between Japanese and English speakers in your Slack channels using this intelligent GPT-4o-mini powered translator. By leveraging a simple slash command, the workflow automatically detects the source language and delivers high-quality translations directly to your conversation. It's the perfect solution for international teams looking to streamline global collaboration without manual copy-pasting.

Run this with your team's AI

What This Recipe Does

The Slack Auto Translator bridges the communication gap in multilingual business environments by providing instant, high-quality translations directly within your workspace. By using a simple slash command, team members can translate messages between Japanese and English without ever leaving their chat interface. This automation eliminates the friction of switching between tabs and manual copy-pasting into external translation tools, which often leads to context loss and delays. For global organizations, this ensures that project updates, client feedback, and internal discussions remain fluid and inclusive. The automation handles the heavy lifting of processing the text and returning the translated version immediately, allowing teams to maintain their momentum. By standardizing the translation process through a dedicated workflow, businesses can ensure consistent communication standards across international branches, fostering a more collaborative and efficient remote work culture.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Http connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Http once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Do I need to install any external software on my computer?

No, this automation works entirely within your existing Slack workspace and uses a standard slash command to trigger translations.

Can I add support for languages other than Japanese and English?

Yes, the underlying workflow can be easily adjusted to include additional language pairs based on your specific business requirements.

Is the translation visible to everyone in the channel?

The automation is configured to provide a response that can be set as private to the user or visible to the channel, depending on your preference for the slash command setup.

What is required to start using this translator?

You will need a Slack App integration and access to a translation API service, which this workflow connects to automatically.

Coming from n8n?

This recipe uses nodes like Webhook, RespondToWebhook, Code, Langchain.openAi and 3 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

Webhook RespondToWebhook Code Langchain.openAi HttpRequest StickyNote Merge

Based on n8n community workflow. View original

Related Recipes

StickyNote ExecuteWorkflowTrigger Set GoogleSheets +2

Telegram user registration workflow

This automation streamlines the bridge between AI-driven communication and structured data management. By connecting Telegram interactions with Google Sheets, it transforms unstructured chat messages into organized, actionable records. The workflow acts as an intelligent intermediary that receives data via specialized triggers, processes the information through conditional logic, and ensures every interaction is documented accurately. For businesses, this means eliminating the manual task of copying data from chat apps into spreadsheets. It provides a reliable way to capture leads, log support requests, or collect field data in real-time. By utilizing Runwork to turn this workflow into a dedicated application, your team can manage these data flows through a professional interface without ever touching a line of code or a complex backend. The result is a more responsive operation where information moves instantly from a conversation into your core business systems, improving data integrity and response times.

See the recipe
Langchain.lmChatOpenAi StickyNote Slack Langchain.agent +2

Create a Slack chatbot with AI for automated responses

This AI-powered automation bridges the gap between conversational intelligence and team collaboration by transforming a standard chat interface into a powerful information distribution hub. By integrating advanced language processing with Slack, this workflow allows your team to interact with an AI assistant that doesn't just answer questions, but actively documents insights and communicates findings across your organization. Instead of losing valuable information in isolated chat windows, this automation ensures that every AI-generated insight is captured as a digital note and shared instantly with the relevant stakeholders. This streamlines internal knowledge sharing, reduces the need for manual status updates, and ensures that critical data derived from AI interactions is immediately actionable. For businesses looking to scale their operations, this tool eliminates the manual overhead of copying and pasting information between platforms, allowing your team to focus on high-level strategy while the automation handles the documentation and notification logistics.

See the recipe
Google Drive Supabase

Build a product catalog chatbot with Mistral AI, Google Drive & Supabase RAG

Managing vast amounts of information across Google Drive can lead to significant bottlenecks when teams need quick answers. This automation streamlines the process of transforming static documents into an interactive AI knowledge base. By automatically extracting text from files stored in Google Drive and processing them in manageable batches, the system prepares your proprietary data for use in custom AI chatbots. This eliminates the need for manual data entry or tedious copy-pasting from PDFs and documents. Business leaders can now ensure their AI tools are powered by the most current internal documentation, leading to higher accuracy in automated responses. The workflow handles the heavy lifting of data preparation, allowing your team to focus on high-value analysis rather than document administration. By implementing this solution, you create a scalable bridge between your unstructured files and actionable business intelligence, significantly reducing the time spent on internal information retrieval.

See the recipe
Langchain.lmChatOpenAi Langchain.memoryBufferWindow GoogleDocsTool TelegramTrigger +3

Create a Telegram customer support bot with GPT4-mini and Google Docs knowledge

This automation bridge the gap between instant messaging and formal documentation by transforming Telegram conversations into structured Google Docs records. Instead of manually copying and pasting ideas, meeting notes, or project updates from a chat thread, this workflow captures incoming messages and organizes them directly into your document management system. By automating the transition from a casual chat interface to a professional document format, your team can ensure that critical information is never lost in a busy message history. This tool is particularly valuable for capturing spontaneous brainstorms, field reports, or client requirements in real-time. It streamlines the content creation process, allowing users to focus on communication while the AI handles the administrative task of cataloging and formatting information for future use.

See the recipe

Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork