Extract PDF Data and Compare Parsing Capabilities of Claude 3.5 Sonnet and Gemini 2.0 Flash
This workflow efficiently extracts key information from PDF files. Users only need to set extraction instructions to download the PDF from Google Drive and convert it to Base64 format. Subsequently, the system simultaneously invokes two AI models, Claude 3.5 Sonnet and Gemini 2.0 Flash, for content analysis, allowing for a comparison of their extraction effectiveness and response speed. This process simplifies traditional PDF data extraction methods and is suitable for the automated processing of documents such as financial records and contracts, enhancing enterprise efficiency and intelligence levels.
Workflow Name
Extract PDF Data and Compare Parsing Capabilities of Claude 3.5 Sonnet and Gemini 2.0 Flash
Key Features and Highlights
- Directly download PDF files from Google Drive
- Convert PDF files to Base64 encoding for seamless AI model processing
- Simultaneously invoke Anthropic Claude 3.5 Sonnet and Google Gemini 2.0 Flash APIs for content extraction
- One-step PDF data extraction without the need for prior OCR followed by language model calls
- Support for custom extraction prompts, allowing flexible specification of target information
- Facilitate comparison of extraction accuracy, response speed, and cost between two AI models
Core Problems Addressed
Traditional PDF data extraction workflows are cumbersome, typically requiring OCR recognition before language model processing, resulting in complex and inefficient procedures. This workflow enables integrated and efficient extraction by directly sending PDF content to AI models equipped with PDF parsing capabilities. It also supports multi-model comparison to help users select the optimal solution.
Application Scenarios
- Automated extraction of key information from PDF documents such as financial invoices and contracts
- Evaluation and comparative analysis of multiple AI model services
- Business automation requiring rapid extraction of structured data from PDF files
- Intelligent enterprise document processing and data capture
Main Process Steps
- Manually trigger the workflow
- Set extraction instructions (prompt) to define the information to be captured, e.g., “Extract VAT numbers from various countries”
- Download the specified PDF file from Google Drive
- Convert the PDF file into Base64 encoding
- Concurrently call the Claude 3.5 Sonnet and Gemini 2.0 Flash AI interfaces, sending the PDF data along with extraction instructions
- Receive extraction results from both models for easy comparison and further use
Involved Systems or Services
- Google Drive (file storage and download)
- Anthropic Claude 3.5 Sonnet API (intelligent PDF parsing)
- Google Gemini 2.0 Flash API (intelligent PDF parsing)
- n8n automation platform (workflow orchestration and triggering)
Target Users and Value
- Enterprises and developers needing to automate processing of large volumes of PDF documents
- Technical personnel interested in AI model parsing capabilities and comparative testing
- Business teams aiming to simplify PDF data extraction workflows and improve efficiency
- Users requiring flexible customization of data extraction content
This workflow enables users to effortlessly automate the extraction of required information from PDF files while providing a clear, side-by-side comparison of two leading language models’ performance, thereby supporting intelligent document processing and AI capability evaluation.