Automated Telegram Message Processing Workflow

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This n8n workflow automates handling and processing of messages received via Telegram. The primary goal is to listen for incoming Telegram events through a webhook, authenticate users, classify messages, and perform actions such as sending responses or processing media files. The workflow includes setting up Telegram webhooks, receiving text, images, and voice messages, transcribing audio, analyzing images with AI, and sending formatted responses back to users.

Key nodes include webhook listeners for real-time message capture, validation checks for user authenticity, AI-powered classifiers for message intent detection, and media processing nodes that handle audio and image files. The workflow is designed for practical use cases such as customer support bots, automated content moderation, or media analysis in Telegram communities. It provides seamless integration with Telegram’s Bot API, OpenAI’s language models, and image analysis tools, making it a comprehensive solution for automated Telegram interactions.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.textClassifier, convertToFile, extractFromFile, httpRequest, if, set, stickyNote, switch, telegram, webhook

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