This workflow automates the process of extracting specific data from PDFs stored on Google Drive by leveraging powerful AI models, Claude 3.5 Sonnet and Gemini 2.0 Flash. It streamlines the workflow by first downloading and converting a PDF file into a base64 string, which is then simultaneously sent to both AI services for content extraction. The setup allows users to compare the accuracy, response time, and cost-efficiency of these AI models in real-time. The workflow is initiated manually via a trigger, making it ideal for testing and analyzing document processing capabilities without complex coding. Practical use cases include automating invoice processing, extracting key information from business documents, or evaluating different AI models for document analysis.
Automated PDF Data Extraction with AI Comparison
Node Count | 11 – 20 Nodes |
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Nodes Used | extractFromFile, googleDrive, httpRequest, manualTrigger, set, stickyNote |
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