PDF Data Extraction Automation

Data Analysts: Those who need to extract specific information from PDF documents quickly and efficiently.
Business Professionals: Individuals who require VAT numbers or other critical data from invoices.
Developers: Tech-savvy users looking to integrate AI capabilities into their applications for document processing.
Researchers: Users who want to automate data extraction from various documents for analysis.

This workflow addresses the challenge of manually extracting data from PDF files, which can be time-consuming and prone to errors.
It automates the process of extracting VAT numbers and other relevant information from invoices, enhancing efficiency and accuracy.

Step 1: The workflow is manually triggered by clicking 'Test workflow'.
Step 2: It defines a prompt for the information to be extracted (e.g., VAT numbers).
Step 3: The workflow downloads a PDF file from Google Drive.
Step 4: The PDF is then converted to a base64 string for processing.
Step 5: The base64 string is sent to both Claude 3.5 Sonnet and Gemini 2.0 Flash for data extraction.
Step 6: The results from both AI models are compared for accuracy and efficiency.