Library / Documents, PDF & OCR
Documents, PDF & OCR
Screen CVs with OpenAI
When you run it, it downloads a CV, extracts the PDF text and OpenAI analyzes it and returns the candidate evaluation as structured JSON.
What it does
# Extractfromfile Workflow ## Overview Automated workflow: Extractfromfile Workflow. This workflow integrates 6 different services: stickyNote, httpRequest, set, stopAndError, manualTrigger. It contains 16 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 16 - Node Types: 6 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Extract Document PDF: extractFromFile - Download File: httpRequest - When clicking ‘Test workflow’: manualTrigger - Sticky Note: stickyNote - Sticky Note5: stickyNote - Sticky Note6: stickyNote - Sticky Note2: stickyNote - Sticky Note1: stickyNote - OpenAI - Analyze CV: httpRequest - Set Variables: set - ... and 6 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible
The steps
- Extract Document PDF
- Download File
- When clicking ‘Test workflow’
- OpenAI - Analyze CV
- Set Variables
- Parsed JSON
- Error Handler
- Stopanderror 1
- Error Handler for 0f3b39af
- Error Handler for 6f76e3a6
- Error Handler for 865f4f69
- Error Handler
- Error Handler
- Error Handler
26 steps in total.
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