Convert PDF documents to AI podcasts with Google Gemini and text-to-speech
Transform static PDF documents into dynamic audio experiences by automating the entire podcast production pipeline. This workflow leverages Google Gemini to craft conversational scripts before transforming them into high-quality speech. It’s a perfect solution for creators looking to repurpose long-form text into accessible, listenable content effortlessly.
Run this with your team's AIWhat This Recipe Does
The AI Content Generation automation transforms raw data and documents into polished, professional assets in seconds. By eliminating the manual effort required to summarize transcripts, draft articles, or reformat reports, this tool allows your team to focus on strategy rather than clerical tasks. The workflow accepts a source file, extracts the relevant context, and uses advanced logic to generate high-quality written content tailored to your specific needs. Whether you are converting meeting notes into executive summaries or turning research papers into blog posts, this automation ensures consistency and speed across your entire content pipeline. The final output is delivered as a ready-to-use file, streamlining your review and approval process. This solution is essential for organizations looking to scale their content production without increasing headcount, providing a reliable way to maintain a high volume of output while ensuring that no critical information from the source material is overlooked.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
ManualTrigger, ExtractFromFile, Langchain.chainLlm, Langchain.lmChatGoogleGemini, Code connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect ManualTrigger and ExtractFromFile once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Marketing teams use this to convert long-form research papers or whitepapers into concise blog posts and social media snippets.
- Operations managers use this to transform raw meeting transcripts into structured action items and executive summaries for stakeholders.
- Product teams use this to draft technical documentation and user guides based on raw developer notes and code comments.
Frequently Asked Questions
What types of files can I upload for processing?
The system supports standard document formats including text files, PDFs, and spreadsheets containing raw data or notes.
Can I customize the tone and style of the generated content?
Yes, the underlying logic can be adjusted to match your brand voice, whether you require a formal corporate tone or a casual conversational style.
Is there a limit to the length of the source document?
The automation handles standard business documents efficiently, though extremely large files may be processed in segments to ensure high-quality output.
How do I receive the finished content?
The automation generates a new binary file, such as a document or text file, which can be saved directly to your cloud storage or downloaded.
Coming from n8n?
This recipe uses nodes like ManualTrigger, ExtractFromFile, Langchain.chainLlm, Langchain.lmChatGoogleGemini and 4 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork