Automated Document Data Extraction Workflow

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This n8n workflow automates the extraction of structured data from various documents such as invoices, contracts, reports, and forms. Starting with a local folder trigger, it activates when new files are added to a specified directory. The documents are first processed using a PDF Vector node that leverages an AI language model for enhanced parsing accuracy. The parsed content is then analyzed with GPT-4 to extract key information, which is subsequently validated and cleaned for consistency and correctness.

The workflow features a routing mechanism that sorts documents based on their type, saving invoices to a dedicated invoices database and other document types to a general documents table. The extracted and processed data can also be exported into CSV files for reporting or further analysis.

This pipeline is ideal for businesses seeking to automate data entry, improve document management, or integrate document processing into broader workflows, saving time and reducing errors.

Node Count

6 – 10 Nodes

Nodes Used

code, localFileTrigger, n8n-nodes-pdfvector.pdfVector, openAi, postgres, stickyNote, switch, writeBinaryFile

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