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.
Automated Podcast Production from Google Drive Content
Node Count | 11 – 20 Nodes |
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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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