Dynamic AI Data Extraction from PDFs to Airtable

Automate the extraction of data from PDFs using dynamic AI prompts and update Airtable records seamlessly. This workflow adapts to changes in data attributes, reducing maintenance and enhancing flexibility.

n8n
Viktor Novotny

33 workflows

This n8n workflow leverages dynamic prompts to extract data from PDF files and update Airtable records. By utilizing the field description property in Airtable, users can define prompts that guide the AI in extracting relevant data. The workflow listens for changes in Airtable rows and fields, triggering updates without requiring manual intervention. This setup is particularly useful for handling resumes or CVs, where attributes like name, address, and experience need to be flexibly extracted and stored.

$24.99
Last updated October 3, 2026
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set
code
noOp
filter
switch
webhook
airtable
stickyNote
httpRequest
manualTrigger

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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