Automated PDF Data Extraction & LLM Comparison: Claude 3.5 vs. Gemini 2.0
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Effortlessly extract critical data from your PDFs using the power of leading Large Language Models. This workflow enables direct PDF processing with both Claude 3.5 Sonnet and Gemini 2.0 Flash, allowing you to compare their performance, latency, and cost for optimal document understanding.
About This Workflow
Streamline your document processing with this advanced n8n workflow designed for intelligent PDF data extraction. By integrating directly with Google Drive, the workflow first securely retrieves your chosen PDF document. It then cleverly transforms the PDF into a base64 string, bypassing the need for separate OCR tools. This prepared data, along with a custom prompt, is then simultaneously sent to two powerful LLMs: Claude 3.5 Sonnet and Gemini 2.0 Flash. This unique dual-LLM approach allows for direct comparison of their extraction capabilities, speed, and efficiency, empowering you to choose the best AI solution for your specific data needs. This process significantly reduces manual effort and accelerates data availability.
Key Features
- Direct PDF Understanding: Process PDF documents in a single step with LLMs, eliminating the need for an additional OCR layer.
- Dual LLM Evaluation: Compare the performance, latency, and cost of Claude 3.5 Sonnet and Gemini 2.0 Flash side-by-side for your specific data extraction tasks.
- Customizable Prompts: Define precisely what information to extract and how to format it using a dedicated prompt node.
- Seamless Google Drive Integration: Easily fetch PDF documents directly from your Google Drive account for automated processing.
- Flexible Output: Utilize advanced API features to enforce structured JSON output from both LLMs for downstream automation.
How To Use
- Set up Google Drive Credentials: Ensure your Google Drive account is connected and authorized within n8n.
- Select Your PDF: In the 'Google Drive' node, choose the specific PDF file you wish to process from your Google Drive by providing its File ID.
- Define Your Extraction Prompt: Navigate to the 'Define Prompt' node and modify the
promptvalue to specify exactly what information you want to extract (e.g., "Extract the client name, invoice number, and total amount as a JSON object."). - Configure LLM API Keys: Obtain and set up your API keys for Claude and/or Gemini in their respective credential fields ('Anthropic Mira Account' and 'Google Gemini(PaLM) Api account').
- Run & Compare: Activate the workflow (e.g., by clicking 'Test workflow') and observe the outputs from both LLMs to compare their results, latency, and cost for your specific use case. (Optional: You can deactivate one of the LLM call nodes if you only want to test a single model.)
Apps Used
Workflow JSON
{
"id": "22d5a66a-8fa0-492f-94d3-674edff963ce",
"name": "Automated PDF Data Extraction & LLM Comparison: Claude 3.5 vs. Gemini 2.0",
"nodes": 17,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 22d5a66a-8fa0...
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