Automated Podcast Production from Google Drive Content

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This n8n workflow automates the process of creating a podcast from a document stored in Google Drive. It triggers when a new file appears in Google Drive, downloads the file, and then uses AI language models to generate a podcast script and audio. The workflow involves extracting text from the document, determining participants, generating voice recordings in preferred voices, converting files for storage, and ultimately producing and uploading a podcast episode. Such a workflow is highly useful for content creators looking to automate podcast production, enabling quick generation of audio content from textual materials without manual intervention.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, extractFromFile, googleDrive, googleDriveTrigger, httpRequest, set, splitOut, stickyNote

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