This workflow automates the process of monitoring a Google Drive folder for new PDF files, extracting embedded text via OCR, analyzing the content with GPT-4, and storing structured data in Airtable. The process begins with a scheduled trigger every 15 minutes and includes steps for file search, filtering out already processed files, downloading, OCR extraction, and AI-based content processing. The final output includes detailed records in Airtable’s ‘processed_documents’ table, alongside ongoing tracking of processed files to avoid duplication. Error handling is integrated with Slack notifications to alert users of any issues during processing. This workflow is ideal for automating document analysis, data capture, and record keeping, especially in environments with high volumes of PDF files needing structured extraction and organization.
Automated PDF Processing and Data Extraction to Airtable
Node Count | 11 – 20 Nodes |
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Nodes Used | airtable, code, extractFromFile, googleDrive, if, openAi, scheduleTrigger, set, slack |
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