This workflow automates the process of transcribing YouTube videos and generating engaging scripts for YouTube Shorts. It starts with a Telegram trigger to receive the video URL. The workflow then uses the Supadata API to transcribe the video’s audio. The transcribed content is processed and summarized to create a compelling script using Langchain’s language models, including Google Gemini. The final script is packaged and sent back to the user via Telegram. This automation is ideal for content creators who want to quickly generate engaging short-form video scripts from YouTube content.
Automated YouTube Video Transcription and Script Generation
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-supadata.supadata, set, stickyNote, telegram, telegramTrigger |
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