Convert Google Drive PDFs into SEO blog HTML using OpenAI GPT-4.1

Overview This workflow automatically converts PDF files stored in Google Drive into structured, SEO-optimized blog articles in HTML format. It eliminates repetitive manual rewriting and formatting by transforming raw PDF content into publish-ready blog files. What This Workflow Does - Retrieves all PDFs from a specified Google Drive folder - Processes each file sequentially using Split In Batches - Downloads and extracts text from each PDF - Generates a long-form SEO blog article using OpenAI - Ensures the output is structured in HTML format - Saves the final blog back to Google Drive as a .html file - Automatically converts the original .pdf filename to .html How It Works The workflow begins with a manual trigger and fetches files from a configured Google Drive folder. Using Split In Batches, each PDF is processed one at a time. This prevents API rate limits, reduces memory load, and ensures stable execution. The extracted text is passed to OpenAI with a structured prompt that defines: - Blog length - SEO formatting - Heading structure (H1, H2, H3) - Tone and writing style - HTML output format The generated content is then saved as an HTML file in a destination Google Drive folder. Requirements - Google Drive credentials - OpenAI credentials - Source folder containing PDFs - Destination folder for generated HTML files Output For every PDF processed: - A long-form SEO blog article is created - Output is saved in HTML format - The original filename is retained and converted from .pdf to .html Customization You can modify: - The OpenAI prompt to change tone or niche - Blog length and SEO requirements - Destination folder - Output format if integrating with a CMS --- This template is suitable for content teams, product managers, and creators who want to automate repetitive content transformation workflows while maintaining consistent output quality.