Comparing Data Extraction with Claude 3.5 and Gemini 2.0

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This n8n workflow facilitates the extraction of specific data from PDFs by utilizing two AI-powered services: Claude 3.5 Sonnet and Gemini 2.0 Flash. It is designed to help users compare the efficiency, accuracy, and costs of these AI models in processing the same document. The process starts when a user manually triggers the workflow, which then downloads a PDF file from Google Drive and converts it to base64 encoding. The encoded PDF is simultaneously sent to both Claude 3.5 and Gemini 2.0 APIs, along with a user-defined prompt that specifies the data to extract—in this case, VAT numbers for each country. Results from both services can be analyzed side by side to determine which AI model performs better for this specific task. This workflow is particularly useful for organizations seeking to automate document data extraction and compare AI performance, streamlining document processing tasks such as invoice data extraction, compliance monitoring, or financial analysis.

Node Count

11 – 20 Nodes

Nodes Used

extractFromFile, googleDrive, httpRequest, manualTrigger, set, stickyNote

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