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🌍 AI interpreter and translator for WhatsApp – translate voice & text

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🌍 AI interpreter and translator for WhatsApp – translate voice & text preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI WhatsApp Translator – Multilingual Voice & Text Translator for n8n Hi! I'm Bruno β€” I’ve been building AI ...

Best for

  • Support Chatbot automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.converttofile, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.filter, @n8n/n8n-nodes-langchain.toolcalculator, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Bruno Dias.

Original n8n.io source

1.1 Workflow description

Title
🌍 AI interpreter and translator for WhatsApp – translate voice & text
Workflow name
🌍 AI interpreter and translator for WhatsApp – translate voice & text

🌍 AI WhatsApp Translator – Multilingual Voice & Text Translator for n8n

Hi! I'm Bruno β€” I’ve been building AI-powered workflows for n8n and Make for 2+ years, focused on smart automation and real conversational agents.

This powerful workflow allows you to receive WhatsApp messages (text or audio), automatically detect the sender’s language using their phone prefix, translate the content using GPT-4o via LangChain, and reply instantly via WhatsApp β€” all with native tone and cultural fluency.

It’s ideal for international support, global communities, multilingual bots, and agencies managing clients from different countries.


πŸ”§ How it works

  1. Message (text or voice) is received via webhook (WhatsApp API or Evolution API)
  2. Sender's prefix is mapped to a country/language
  3. Audio messages are transcribed using OpenAI Whisper
  4. The text is translated using LangChain agent with GPT-4o
  5. The reply is structured in JSON and sent back via WhatsApp

🧰 Nodes & Tech Used

  • HTTP Request (Webhook & API calls)
  • OpenAI Whisper (Audio transcription)
  • LangChain + GPT-4o (LLM for translation)
  • If, Set, Merge (Routing and logic)
  • Custom JSON response for WhatsApp formats

πŸ“Œ What you’ll need

  • OpenAI API key
  • WhatsApp API or Evolution API access
  • n8n (Cloud or self-hosted)
  • (Optional) Typebot, Airtable, CRM for integration

πŸ›’ Want to use it?

❀️ Buy workflows: https://iloveflows.com
☁️ Try n8n Cloud: https://n8n.partnerlinks.io/amanda

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Convert to File

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

Block 2 - OpenAI

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.6

Block 3 - Webhook

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2

Block 4 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 5 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 6 - Filter

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.2

Block 7 - Calculator

Type / Role
@n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices
Version 1

Block 8 - AI Agent1

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 9 - WhatsApp2

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 10 - Audio

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2

Block 11 - Convert to File1

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

Block 12 - OpenAI1

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.6

Block 13 - WhatsApp1

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 14 - Code

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 15 - Text Classifier

Type / Role
@n8n/n8n-nodes-langchain.textClassifier - textClassifier
Config choices
Version 1

Block 16 - Groq Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices
Version 1

Block 17 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Text Classifier1

Type / Role
@n8n/n8n-nodes-langchain.textClassifier - textClassifier
Config choices
Version 1

Block 19 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 20 - International

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.2

Block 21 - OpenAI Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 22 - Calculator1

Type / Role
@n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices
Version 1

Block 23 - Think

Type / Role
@n8n/n8n-nodes-langchain.toolThink - toolThink
Config choices
Version 1

Block 24 - Code1

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Showing the first 24 of 69 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow 🌍 AI interpreter and translator for WhatsApp – translate voice & text
Complexity advanced
Nodes 69
Categories Support Chatbot, AI Chatbot
Author Bruno Dias
Published 05 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3875/3875.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does 🌍 AI interpreter and translator for WhatsApp – translate voice & text do?

AI WhatsApp Translator – Multilingual Voice & Text Translator for n8n Hi! I'm Bruno β€” I’ve been building AI ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.