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Traveler co-pilot: AI-powered Telegram for easy language and image translation

Derek CheungDerek Cheung
3542 views
2/3/2026
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Introduction

The Traveler Co-Pilot empowers you to confidently traverse the world, connecting with ease and breaking language barriers:

  • Engage in conversations with locals
  • Navigate menus at foreign eateries
  • Comprehend road signs effortlessly.

Features

  • Seamless Speech-to-Speech Translation Communicate in any of the 55 supported languages, and witness the bot translate your words into another language in real-time, all through speech.

  • Visual Translation Magic Capture images containing text, and the bot will work its magic by recognizing and translating the text into the desired language, right before your eyes.

Setup Steps

  • Open the Settings node and specify the languages you would like to work with

n8n Telegram Co-Pilot for AI-Powered Language and Image Translation

This n8n workflow creates an AI-powered Telegram bot that can respond to user messages and potentially perform language or image translation tasks, leveraging various Large Language Models (LLMs).

What it does

This workflow acts as a Telegram co-pilot, intelligently routing incoming messages to different AI models based on the message content.

  1. Listens for Telegram Messages: The workflow is triggered by any incoming message to a configured Telegram bot.
  2. Prepares Message Data: It extracts relevant information from the Telegram message, such as the chat ID and the message text.
  3. Routes Messages to AI: It uses a Switch node to determine which AI model to use. While the specific conditions for routing are not detailed in the JSON, a typical setup would involve:
    • Text-based AI for Language Understanding: Messages containing text are sent to an LLM (e.g., OpenAI Chat Model, Anthropic Chat Model) for processing.
    • Image-based AI for Image Analysis/Translation: If the message contains an image, it would be routed to an AI capable of image processing (though the specific image processing node is not explicitly linked in the provided JSON, the presence of various LLM nodes suggests this capability could be integrated).
  4. Processes with AI:
    • Basic LLM Chain: A generic LLM chain node is available, which can be configured to perform various text-based tasks like translation, summarization, or question answering.
    • Anthropic Chat Model: Utilizes Anthropic's models (e.g., Claude) for advanced conversational AI and language processing.
    • OpenAI Chat Model: Leverages OpenAI's chat models (e.g., GPT series) for natural language understanding and generation.
    • OpenAI (Generic): A general OpenAI node, which could be configured for tasks like image generation (DALL-E), speech-to-text (Whisper), or text-to-speech.
  5. Responds via Telegram: Once the AI has processed the message, the workflow sends the AI's response back to the user in the Telegram chat.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Telegram Bot Token: A Telegram bot created via BotFather.
  • Telegram Account: To interact with the bot.
  • OpenAI API Key: For using the OpenAI Chat Model and generic OpenAI node.
  • Anthropic API Key: For using the Anthropic Chat Model.
  • Langchain Integration: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance, as this workflow uses several Langchain-based nodes.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the workflow JSON or upload the file.
  2. Configure Credentials:
    • Locate the "Telegram Trigger" node and configure your Telegram Bot API Token credential.
    • Locate the "Telegram" node and configure your Telegram Bot API Token credential.
    • Configure your OpenAI API Key credential for the "OpenAI Chat Model" and "OpenAI" nodes.
    • Configure your Anthropic API Key credential for the "Anthropic Chat Model" node.
  3. Activate the Workflow:
    • Ensure all necessary credentials are set up.
    • Click the "Activate" toggle in the top right corner of the workflow editor to enable it.
  4. Interact with the Bot:
    • Send messages to your configured Telegram bot. The workflow will process them using the AI models and respond accordingly.
    • You might need to adjust the Switch node's conditions to define how different types of messages (e.g., text, images) are routed to specific AI models and what actions they should perform (e.g., translate text, describe image).
    • The "Edit Fields (Set)" node can be used to prepare or transform data before sending it to the AI models.

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