This workflow automates the management of a Telegram bot to receive and process text, audio, and images through webhooks, making it ideal for chatbot automation and media handling. It begins by setting up webhooks for Telegram, enabling automatic reception of user messages. The workflow includes validation nodes to verify user identity, ensuring secure interactions. When media such as voice notes or images are received, dedicated nodes transcribe audio into text using OpenAI’s models or analyze images for content. Furthermore, the workflow intelligently routes messages based on their type, whether text, audio, or images, and responds accordingly with task alerts, media replies, or error messages. Practical use cases include customer support automation, content moderation, or media-based interactions—saving time and reducing manual effort by automating complex media processing tasks within Telegram chats.
Automated Telegram Bot with Media Processing in n8n
Node Count | >20 Nodes |
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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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