This workflow automates the process of capturing text messages, voice notes, or audio files from Telegram and organizing them into a Notion database for easy review and management. It integrates Telegram, OpenAI language models, and Notion to create a seamless recording and note-taking system.
The process begins with a Telegram trigger, which listens for incoming messages or media in specified Telegram chats. When a message or voice note arrives, the workflow uses an AI agent and language model (DeepSeek Chat Model) to interpret and process the content, transforming voice notes into text. Depending on the content, a switch node directs the data flow either to capture text or voice data.
Processed information is then sent to OpenAI nodes for further analysis or summarization. The workflow concludes by automatically logging the refined data into dedicated Notion pages, creating organized records of the received messages and notes. Additionally, sticky notes are used for internal comments or debugging purposes.
This workflow is especially useful for users who want to centralize notes, voice memos, or conversations from Telegram and store them systematically in Notion for research, documentation, or personal data management.
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