Compare AI PDF Data Extraction: Claude 3.5 Sonnet vs. Gemini 2.0 Flash
Accelerate PDF data extraction by eliminating manual OCR, allowing direct comparison of Claude 3.5 Sonnet and Gemini 2.0 Flash performance for optimized AI choice.
Manually extracting data from PDFs is time-consuming and often requires complex OCR followed by separate LLM calls. This workflow automates direct PDF data extraction using leading AI models, Claude 3.5 Sonnet and Gemini 2.0 Flash, in a single step, allowing for efficient comparison of performance, latency, and costs.
Documentation
AI-Powered PDF Data Extraction Comparison
This advanced n8n workflow empowers you to efficiently extract valuable information from PDF documents by leveraging the cutting-edge capabilities of both Claude 3.5 Sonnet and Gemini 2.0 Flash. It's designed for businesses and developers looking to compare leading large language models (LLMs) for document understanding without the overhead of traditional OCR methods.
Key Features
- Direct PDF Data Extraction: Process data within PDFs in a single step, eliminating the need for separate OCR tools.
- Dual AI Model Comparison: Simultaneously send PDF content to Claude 3.5 Sonnet and Gemini 2.0 Flash for side-by-side analysis.
- Performance and Cost Optimization: Compare results, latency, and costs of different LLMs to select the best fit for your specific use case.
- Flexible Prompt Customization: Easily modify the extraction prompt to precisely define the information you need and how it should be transformed.
How It Works
This workflow is triggered manually, allowing for immediate testing and iteration. First, it securely downloads your specified PDF document from Google Drive. The file is then efficiently converted into a base64 encoded string, a format required by both the Claude and Gemini APIs. Concurrently, the workflow takes your predefined prompt (e.g., "Extract the VAT numbers for each country") and sends it along with the base64 PDF data to both the Anthropic (Claude 3.5 Sonnet) and Google (Gemini 2.0 Flash) APIs. This parallel processing allows you to evaluate and compare the responses from both powerful LLMs, giving you insights into their accuracy, speed, and cost-effectiveness for your specific data extraction needs.