Automated PDF Processing and Data Extraction Workflow

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This n8n workflow automates the process of handling PDF documents stored on Google Drive, extracting relevant data, comparing datasets, and updating a Google Sheets database. It begins with a trigger whenever a new PDF file is added to Google Drive. The workflow then retrieves the list of PDF files, reads and processes each document, and compares its data against previously processed files. Using AI-powered language models, it extracts targeted information from the text within each PDF, and updates a Google Sheets spreadsheet with the new data, logging the process at each step. Additionally, the workflow can connect to external AI services for advanced text analysis, making it a powerful automation for document management, data validation, or content analysis. This setup is especially useful for organizations that need to automate the ingestion, comparison, and storage of large volumes of PDF documents, such as resumes, invoices, reports, or legal files.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, compareDatasets, extractFromFile, googleDrive, googleDriveTrigger, googleSheets, httpRequest, splitInBatches, stickyNote

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