Extract Text from PDF and Images Using Vertex AI (Gemini) into CSV
This workflow automatically extracts text content from newly uploaded PDF files and images in a specified Google Drive folder. It uses AI models from Google Vertex AI (Gemini) and Openrouter for intelligent analysis, ultimately converting the structured data into CSV format and uploading it back to Google Drive. It supports multiple file formats, enhances text recognition accuracy, and fully automates data processing, making it suitable for fields such as finance and operations, significantly improving work efficiency and data accuracy.
Workflow Name
Extract Text from PDF and Images Using Vertex AI (Gemini) into CSV
Key Features and Highlights
This workflow automates the extraction of text content from newly uploaded PDF files or images in a specified Google Drive folder. It leverages Google Vertex AI (Gemini) and Openrouter AI models for intelligent recognition and analysis, ultimately converting the extracted structured data into CSV files that are automatically uploaded back to Google Drive. This process completely eliminates the need for manual data entry.
- Supports text recognition from both PDF and image formats
- Integrates advanced Google Gemini AI models and Openrouter API to enhance recognition accuracy
- Automatically categorizes transaction records and generates CSV files with category fields
- Fully automated end-to-end process with real-time monitoring of designated Google Drive folders
Core Problems Addressed
Traditional extraction of data from PDFs or images often requires manual intervention, which is inefficient and prone to errors. This workflow employs AI technology to automatically recognize and structure data, solving the issues of low efficiency and inaccuracy in document data entry, thereby enhancing automation and intelligence in data processing.
Use Cases
- Finance departments automatically extracting transaction data from bank statements, invoices, and other PDFs or images
- Operations teams quickly retrieving key information from image screenshots
- Any scenario requiring conversion of unstructured documents into structured data for storage
- Enterprise internal automation for data processing and archiving
Main Process Steps
- Monitor a specified Google Drive folder for newly uploaded PDF or image files
- Classify files by type: PDFs are processed through a PDF download and text extraction workflow; images are processed through an image download and Vertex AI text recognition workflow
- Use built-in PDF extraction nodes or AI services from Vertex AI and Openrouter to parse file contents and extract transaction data
- Send the extracted text data to AI models to intelligently generate categorized CSV data
- Convert the data into CSV format
- Automatically upload the generated CSV files back to the specified Google Drive folder
Involved Systems and Services
- Google Drive: File storage and trigger source
- Google Vertex AI (Gemini): Image text recognition and intelligent parsing
- Openrouter API: Intelligent PDF text analysis
- n8n Automation Platform: Workflow scheduling and node orchestration
Target Users and Value
Ideal for finance professionals, data analysts, operations managers, and any professionals seeking to improve document data processing efficiency. This workflow significantly reduces manual data entry time, improves data accuracy, and supports enterprises in achieving intelligent office automation and digital transformation.