Airtable PDF Data Extractor with AI

This workflow connects Airtable, PDF file extraction, and AI-powered field mapping. Whenever rows or fields in your Airtable base are updated, the workflow automatically downloads PDF files, extracts their content, and uses dynamic prompts defined in your Airtable schema to populate table fields with structured AI-generated values. It supports event-driven updates for rows and fields, ensuring your Airtable records stay enriched and up-to-date without manual data entry.

Key Features:

• 🔄 Event-driven automation — reacts to Airtable row updates, new fields, and schema changes.
• 📂 PDF text extraction — automatically retrieves and parses PDF file contents.
• 🤖 AI-powered data extraction — uses OpenAI LLMs with dynamic prompts defined in Airtable field descriptions.
• 🧩 Dynamic schema mapping — maps extracted values into the correct Airtable fields based on field type and description.
• ⚡ Optimized performance — only updates necessary rows/fields, preventing redundant processing.
• 🔗 Reusable setup — can be adapted for different Airtable bases/tables with minimal changes.
• 🎛️ Webhook integration — keeps Airtable and n8n workflows in sync in real-time.