Transforming Audio Transcripts into Summarized Clips

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This n8n workflow automates the process of converting lengthy audio transcripts into concise video clips or summaries, ideal for content creators, educators, and marketers. Starting with a manual trigger, the workflow retrieves a transcript via an HTTP request, processes clips through an AI language model, and manages the output systematically. It leverages Langchain nodes, including Mistral Cloud’s chat model and structured output parser, to generate and refine summaries or clips. The workflow loops through multiple pieces of content, saves clips via API calls, and provides a manual trigger for flexible execution. This automation streamlines content repurposing, enabling quick creation of engaging condensed videos or summaries from long audio recordings, thus enhancing content outreach and engagement.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatMistralCloud, @n8n/n8n-nodes-langchain.outputParserStructured, code, httpRequest, manualTrigger, noOp, set, splitInBatches, splitOut, stickyNote, wait

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