Automated File Extraction and Conversion with Google Gemini

Streamline your document processing by extracting text from PDFs and images using AI, converting it to CSV format.

n8n

This workflow automates the process of extracting text from PDF and image files stored in Google Drive, leveraging the advanced capabilities of Google Gemini AI. By triggering the workflow upon the creation of new files in a designated folder, it ensures that no new documents go unprocessed. The workflow intelligently routes files based on their type, allowing for tailored processing depending on whether the file is a PDF or an image. The extracted text is then converted into a CSV format, making it easy to analyze and utilize in various applications, such as CRM systems or data analysis tools.

The benefits of this automation include significant time savings, as manual extraction and conversion tasks are eliminated. Users can focus on higher-value activities, knowing that their documents are being processed efficiently in real-time. This workflow is particularly useful for sales teams and CRM professionals who require timely access to text data from documents, enabling them to respond faster to customer needs and market changes.

Additionally, this workflow is flexible and can be customized to include further processing steps or integrations with other tools, making it an invaluable asset for organizations looking to enhance their operational efficiency. Use cases include sales lead extraction from scanned documents, invoice processing, and document management for various business functions.

$18.65
Last updated October 3, 2026
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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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