Automated PDF-to-AI Podcast Conversion with Google Gemini & Text-to-Speech

Overview

This workflow automates the conversion of PDF documents into AI-generated podcast audio files. Leveraging Google Gemini's advanced language models and text-to-speech (TTS) capabilities, it streamlines content repurposing for audio platforms.

Key Features

• PDF Upload & Extraction: Users upload a PDF, and the workflow extracts its text content automatically.
• AI Script Generation: Google Gemini Flash 2.0 processes the extracted text to generate a podcast-ready script.
• Text-to-Speech Conversion: The script is converted into natural-sounding audio using Gemini's TTS service.
• Automated Processing: Includes steps for preparing TTS requests, handling audio responses, and saving the final podcast file.

Benefits

• Content Repurposing: Quickly transforms written documents into engaging audio content.
• Efficiency: Reduces manual effort and accelerates podcast production.
• Scalability: Enables batch processing of documents for large-scale content creation.

Use Cases

• Content Marketing: Repurpose whitepapers, reports, or articles as podcasts.
• Accessibility: Make written content available to visually impaired audiences.
• Internal Communications: Convert training materials or company updates into audio format.

Integrations & Automation

Integrates PDF extraction, Google Gemini AI, and TTS APIs within n8n, ensuring a seamless, end-to-end automated workflow that saves time and enhances productivity.